Introduction
In this paper, we consider the Gross–Pitaevskii eigenvalue problem
− Δ u + V u + β ∣ u ∣ 2 u = λ u in Ω , u = 0 on ∂ Ω , ∥ u ∥ L 2 ( Ω ) = 1. (1) -\Delta u + V u + \beta|u|^2 u = \lambda u \quad\text{in } \Omega,\qquad u=0 \quad\text{on } \partial\Omega,\qquad\lVert u\rVert_{L^2(\Omega)}=1. \tag*{(1)} − Δ u + V u + β ∣ u ∣ 2 u = λ u in Ω , u = 0 on ∂ Ω , ∥ u ∥ L 2 ( Ω ) = 1. (1)
where Ω ⊂ R d \Omega\subset\mathbb{R}^d Ω ⊂ R d with d ∈ { 1 , 2 , 3 } d \in\{1,2,3\} d ∈ { 1 , 2 , 3 } is a bounded domain, V V V is a trapping potential, and β ∈ R \beta\in\mathbb{R} β ∈ R is the interaction parameter. Problem (1) arises in quantum physics as a model for stationary states of Bose–Einstein condensates. Among these stationary states, the ground state is of particular importance. It is defined as a minimizer of the Gross–Pitaevskii energy
E ( v ) : = ∫ Ω ( 1 2 ∣ ∇ v ∣ 2 + 1 2 V ∣ v ∣ 2 + β 4 ∣ v ∣ 4 ) d x E(v) := \int_{\Omega} \left(\frac{1}{2}|\nabla v|^2+\frac{1}{2}V|v|^2+\frac{\beta}{4}|v|^4\right)\,\mathrm{d}x E ( v ) := ∫ Ω ( 2 1 ∣∇ v ∣ 2 + 2 1 V ∣ v ∣ 2 + 4 β ∣ v ∣ 4 ) d x
under the normalization constraint, i.e., as a solution of
min v ∈ H 0 1 ( Ω ) E ( v ) subject to ∥ v ∥ L 2 ( Ω ) = 1. (2) \min_{v\in H_0^1(\Omega)} E(v) \qquad\text{subject to} \qquad\lVert v\rVert_{L^2(\Omega)}=1. \tag*{(2)} v ∈ H 0 1 ( Ω ) min E ( v ) subject to ∥ v ∥ L 2 ( Ω ) = 1. (2)
Every minimizer of (2) satisfies the Euler–Lagrange equation (1) , where the eigenvalue λ \lambda λ is the associated Lagrange multiplier. Hence, the ground state is an eigenfunction of (1) , and the corresponding eigenvalue is referred to as the ground state eigenvalue. Since the ground state is in general not available in closed form, its efficient and reliable numerical approximation is of central importance.
The numerical computation of the ground state involves two main aspects: the spatial discretization of the problem and the design of iterative solvers for the resulting nonlinear discrete problem. Regarding the latter, one may start from either the eigenvalue problem (1) or the constrained minimization problem (2) . Starting from (1) , the spatial discretization leads to a nonlinear algebraic eigenvalue problem. A widely used approach for such problems is the self-consistent field (SCF) iteration [9 , 11 , 25 ] , which only requires the solution of a linear eigenvalue problem in each iteration. Starting from (1.2), a variety of optimization-based approaches are available, including Riemannian optimization methods [2 , 3 , 22 ] , preconditioned nonlinear conjugate gradient methods [4], regularized Newton methods [44 ] , J J J -methods [1 , 39 ] , and gradient flow methods [7 , 17 , 18 , 21 , 37 , 33 , 40 , 45 ] . For a comprehensive overview of numerical methods for computing the ground state, we refer to the recent review [34 ] .
In this paper, we focus on the first aspect, namely, the spatial discretization and its numerical analysis. Existing results in this direction include both a priori and a posteriori error estimates. General finite-dimensional approximations of the Gross–Pitaevskii eigenvalue problem were studied by Zhou in [46 ] , while related nonlinear eigenvalue problems were studied in [15 , 47 ] . These studies established optimal H 1 H^1 H 1 -error estimates for the ground state approximations. These results were refined in [10 ] , where sharp estimates for the ground state energy and eigenvalue were established, together with L 2 L^2 L 2 - and H 1 H^1 H 1 -error estimates for the ground state. Discretizations by the standard finite element method (FEM) were analyzed in [16 , 38 ] , while a mass-lumped linear FEM that preserves the positivity of the discrete ground state was proposed and analyzed in [30 ] . Generalized finite element approximations of the Gross–Pitaevskii problem were studied in [35 , 36 ] , and finite-dimensional approximations of the Kohn–Sham equation were analyzed in [13 ] . Besides these a priori results, a posteriori error estimates and adaptive FEMs were developed in [14 , 16 , 26 ] , and adaptive FEMs for the Kohn–Sham equation were proposed in [12 ] . More recently, it was shown in [29 ] that Galerkin approximations of the ground state superconverge to the H 1 H^1 H 1 -orthogonal projection of the exact ground state.
In this work, we analyze linear finite element discretizations of (1) , including both the standard FEM and the mass-lumped FEM. For the standard FEM, the uniqueness of the discrete ground state up to sign for sufficiently small mesh sizes can be deduced from the analysis in [16 , 38 ] . Here we present an alternative proof based on a perturbation argument for the linearized operator, which only requires the H 1 H^1 H 1 -convergence of the discrete ground states. In [16 , 19 , 20 , 31 ] , a perturbation approach was used to transfer a posteriori error estimates and adaptive finite element techniques from the associated source problem to the eigenvalue problem. Following a similar strategy, we combine this perturbation argument with existing L 2 L^2 L 2 - and H 1 H^1 H 1 -error estimates to derive optimal error estimates in the L p L^p L p - and W 1 , p W^{1,p} W 1 , p -norms for both methods, as well as superconvergence of the discrete ground states to the Ritz projection of the exact ground state in the W 1 , p W^{1,p} W 1 , p -seminorm.
The remainder of this paper is organized as follows. § 2 collects some preliminaries, including properties of the Gross–Pitaevskii eigenvalue problem, the finite element discretization, and several technical results. In § 3 , we prove the uniqueness of the discrete ground state of the standard FEM up to sign for sufficiently small mesh sizes and establish convergence rates in the L p L^p L p - and W 1 , p W^{1,p} W 1 , p -norms as well as superconvergence results. § 4 is devoted to the corresponding error analysis and superconvergence results for the mass-lumped FEM. Numerical experiments illustrating the theoretical results are presented in § 5 , and concluding remarks are given in § 6 .
Preliminaries
2. Preliminaries. We adopt the standard notation for Sobolev spaces W k , p ( Ω ) W^{k,p}(\Omega) W k , p ( Ω ) , equipped with the norms ∥ ⋅ ∥ W k , p ( Ω ) \lVert\cdot\rVert_{W^{k,p}(\Omega)} ∥ ⋅ ∥ W k , p ( Ω ) and semi-norms ∣ ⋅ ∣ W k , p ( Ω ) \lvert\cdot\rvert_{W^{k,p}(\Omega)} ∣ ⋅ ∣ W k , p ( Ω ) . For k = 0 k=0 k = 0 , we write L p ( Ω ) : = W 0 , p ( Ω ) L^p(\Omega):=W^{0,p}(\Omega) L p ( Ω ) := W 0 , p ( Ω ) , and for p = 2 p=2 p = 2 , we write H k ( Ω ) : = W k , 2 ( Ω ) H^k(\Omega):=W^{k,2}(\Omega) H k ( Ω ) := W k , 2 ( Ω ) . The inner product on L 2 ( Ω ) L^2(\Omega) L 2 ( Ω ) is denoted by ( ⋅ , ⋅ ) L 2 ( Ω ) (\cdot,\cdot)_{L^2(\Omega)} ( ⋅ , ⋅ ) L 2 ( Ω ) . The space H 0 1 ( Ω ) H^1_0(\Omega) H 0 1 ( Ω ) consists of functions in H 1 ( Ω ) H^1(\Omega) H 1 ( Ω ) with zero trace on ∂ Ω \partial\Omega ∂ Ω . Throughout this paper, C C C denotes a generic positive constant independent of the mesh size h h h , whose value may vary from one occurrence to another.
The Gross–Pitaevskii eigenvalue problem
Throughout this paper, the computational domain is taken to be Ω = ( a , b ) d \Omega=(a,b)^d Ω = ( a , b ) d . We assume that V ∈ L ∞ ( Ω ) V\in L^\infty(\Omega) V ∈ L ∞ ( Ω ) , V ≥ 0 V\ge0 V ≥ 0 almost everywhere in Ω \Omega Ω , and β ≥ 0 \beta\ge0 β ≥ 0 . Denote by
M : = { u ∈ H 0 1 ( Ω ) : ∥ u ∥ L 2 ( Ω ) = 1 } . \mathcal{M}:=\{u\in H_0^1(\Omega):\|u\|_{L^2(\Omega)}=1\}. M := { u ∈ H 0 1 ( Ω ) : ∥ u ∥ L 2 ( Ω ) = 1 } .
Under the above assumptions, the following result holds; see [6 , 10 , 34 ] .
Proposition 2.1. The Gross–Pitaevskii eigenvalue problem (1) admits infinitely many real eigenvalues { λ k } k ≥ 1 \{\lambda_k\}_{k\ge1} { λ k } k ≥ 1 with corresponding normalized eigenfunctions { u k } k ≥ 1 ⊂ M \{u_k\}_{k\ge1}\subset\mathcal{M} { u k } k ≥ 1 ⊂ M . These eigenvalues can be ordered so that
λ 1 < λ 2 ≤ ⋯ ≤ λ k ≤ ⋯ , λ k → ∞ as k → ∞ . \lambda_1<\lambda_2\le\cdots\le\lambda_k\le\cdots,\qquad\lambda_k\to\infty\quad\text{as }k\to\infty. λ 1 < λ 2 ≤ ⋯ ≤ λ k ≤ ⋯ , λ k → ∞ as k → ∞. In particular, the smallest eigenvalue λ 1 \lambda_1 λ 1 is simple, and the corresponding eigenfunction u 1 u_1 u 1 is the ground state, which is unique up to sign. Moreover, either u 1 > 0 u_1>0 u 1 > 0 or u 1 < 0 u_1<0 u 1 < 0 throughout Ω \Omega Ω .
Let u ∗ u^* u ∗ denote the L 2 L^2 L 2 -normalized positive ground state of (1) and let λ ∗ : = λ 1 \lambda^*:=\lambda_1 λ ∗ := λ 1 be the associated ground state eigenvalue. We introduce the following linear eigenvalue problem: find μ ∈ R \mu\in\mathbb{R} μ ∈ R and u ≠ 0 u\ne0 u = 0 such that
− Δ u + V u + β ∣ u ∗ ∣ 2 u = μ u . (3) -\Delta u+Vu+\beta|u^*|^2u=\mu u. \tag*{(3)} − Δ u + V u + β ∣ u ∗ ∣ 2 u = μu . (3)
It follows directly from (1) that ( λ ∗ , u ∗ ) (\lambda^*,u^*) ( λ ∗ , u ∗ ) is an eigenpair of (3) . Moreover, the following result holds; see, e.g., [10 , 33 ] .
Proposition 2.2. The smallest eigenvalue μ 1 \mu_1 μ 1 of (3) is simple and coincides with the ground state eigenvalue of (1) , i.e., μ 1 = λ ∗ \mu_1=\lambda^* μ 1 = λ ∗ .
Note that the ground state u ∗ u^* u ∗ satisfies
− Δ u ∗ = ( λ ∗ − V − β ∣ u ∗ ∣ 2 ) u ∗ in Ω , u ∗ = 0 on ∂ Ω , (4) -\Delta u^*=(\lambda^*-V-\beta|u^*|^2)u^*\quad\text{in }\Omega,\qquad u^*=0\quad\text{on }\partial\Omega, \tag*{(4)} − Δ u ∗ = ( λ ∗ − V − β ∣ u ∗ ∣ 2 ) u ∗ in Ω , u ∗ = 0 on ∂ Ω , (4)
which can be viewed as a Poisson equation for u ∗ u^* u ∗ . Since V ∈ L ∞ ( Ω ) V\in L^\infty(\Omega) V ∈ L ∞ ( Ω ) and H 0 1 ( Ω ) ↪ L 6 ( Ω ) H_0^1(\Omega)\hookrightarrow L^6(\Omega) H 0 1 ( Ω ) ↪ L 6 ( Ω ) for d ≤ 3 d\le3 d ≤ 3 , the right-hand side of (4) belongs to L 2 ( Ω ) L^2(\Omega) L 2 ( Ω ) . Hence, the H 2 H^2 H 2 -regularity result for convex domains [28 ] yields u ∗ ∈ H 2 ( Ω ) u^*\in H^2(\Omega) u ∗ ∈ H 2 ( Ω ) .
Finite element discretization
Let T h \mathcal{T}_h T h be a conforming, shape-regular, and quasi-uniform simplicial triangulation of Ω \Omega Ω with mesh size h : = max K ∈ T h diam ( K ) h:=\max_{K\in\mathcal{T}_h}\operatorname{diam}(K) h := max K ∈ T h diam ( K ) . We denote by N h \mathcal{N}_h N h the set of all vertices of T h \mathcal{T}_h T h and, for each element K ∈ T h K\in\mathcal{T}_h K ∈ T h , by N K \mathcal{N}_K N K the set of vertices of K K K . Let
V h : = { v h ∈ C 0 ( Ω ‾ ) : v h ∣ K ∈ P 1 ( K ) for all K ∈ T h } V_h:=\{v_h\in C^0(\overline{\Omega}):v_h|_K\in\mathbb{P}_1(K)\text{ for all }K\in\mathcal{T}_h\} V h := { v h ∈ C 0 ( Ω ) : v h ∣ K ∈ P 1 ( K ) for all K ∈ T h }
be the continuous piecewise linear Lagrange finite element space associated with T h \mathcal{T}_h T h , and define V h 0 : = V h ∩ H 0 1 ( Ω ) V_h^0:=V_h\cap H_0^1(\Omega) V h 0 := V h ∩ H 0 1 ( Ω ) .
For v ∈ C ( Ω ‾ ) v\in C(\overline{\Omega}) v ∈ C ( Ω ) , let I h v ∈ V h I_hv\in V_h I h v ∈ V h denote its nodal interpolant. Since H 2 ( Ω ) ↪ C ( Ω ‾ ) H^2(\Omega)\hookrightarrow C(\overline{\Omega}) H 2 ( Ω ) ↪ C ( Ω ) for d ≤ 3 d\le3 d ≤ 3 , I h v I_hv I h v is well defined for all v ∈ H 2 ( Ω ) v\in H^2(\Omega) v ∈ H 2 ( Ω ) , and the following estimate holds; see, e.g., [8 ] .
Proposition 2.3. There exists a constant C > 0 C>0 C > 0 , independent of h h h , such that for all v ∈ H 2 ( Ω ) v\in H^2(\Omega) v ∈ H 2 ( Ω ) ,
∥ v − I h v ∥ L 2 ( Ω ) + h ∥ v − I h v ∥ H 1 ( Ω ) ≤ C h 2 ∥ v ∥ H 2 ( Ω ) . (5) \|v-I_hv\|_{L^2(\Omega)}+h\|v-I_hv\|_{H^1(\Omega)}\le Ch^2\|v\|_{H^2(\Omega)}. \tag*{(5)} ∥ v − I h v ∥ L 2 ( Ω ) + h ∥ v − I h v ∥ H 1 ( Ω ) ≤ C h 2 ∥ v ∥ H 2 ( Ω ) . (5)
For u ∈ W 0 1 , 1 ( Ω ) u \in W^{1,1}_0(\Omega) u ∈ W 0 1 , 1 ( Ω ) , let R h u ∈ V h 0 R_hu \in V^0_h R h u ∈ V h 0 denote its Ritz projection, defined by
∫ Ω ∇ R h u ⋅ ∇ v h d x = ∫ Ω ∇ u ⋅ ∇ v h d x ∀ v h ∈ V h 0 ; (6) \int_{\Omega} \nabla R_hu \cdot\nabla v_h\,\mathrm{d}x = \int_{\Omega} \nabla u \cdot\nabla v_h\,\mathrm{d}x \qquad\forall v_h \in V^0_h; \tag*{(6)} ∫ Ω ∇ R h u ⋅ ∇ v h d x = ∫ Ω ∇ u ⋅ ∇ v h d x ∀ v h ∈ V h 0 ; (6)
see, e.g., [24 ] . This is well defined since ∇ v h ∈ L ∞ ( Ω ) \nabla v_h \in L^\infty(\Omega) ∇ v h ∈ L ∞ ( Ω ) for all v h ∈ V h 0 v_h \in V^0_h v h ∈ V h 0 . Moreover, since Ω \Omega Ω is convex, the following estimate holds; see, e.g., [8 ] .
Proposition 2.4. There exists a constant C > 0 C > 0 C > 0 , independent of h h h , such that for all u ∈ H 2 ( Ω ) ∩ H 0 1 ( Ω ) u \in H^2(\Omega) \cap H^1_0(\Omega) u ∈ H 2 ( Ω ) ∩ H 0 1 ( Ω ) ,
∥ u − R h u ∥ L 2 ( Ω ) + h ∥ ∇ ( u − R h u ) ∥ L 2 ( Ω ) ≤ C h 2 ∥ u ∥ H 2 ( Ω ) . (7) \lVert u-R_hu\rVert_{L^2(\Omega)}+h\lVert\nabla(u-R_hu)\rVert_{L^2(\Omega)}\leq Ch^2\lVert u\rVert_{H^2(\Omega)}. \tag*{(7)} ∥ u − R h u ∥ L 2 ( Ω ) + h ∥ ∇ ( u − R h u ) ∥ L 2 ( Ω ) ≤ C h 2 ∥ u ∥ H 2 ( Ω ) . (7)
To establish convergence in L p L^p L p and W 1 , p W^{1,p} W 1 , p , we need the following stability and error estimates for the Ritz projection. Here and below, we assume that h h h is sufficiently small.
Proposition 2.5. Let 1 < p ≤ ∞ 1 < p \leq\infty 1 < p ≤ ∞ . There exists a constant C p > 0 C_p > 0 C p > 0 , independent of h h h , such that for all u ∈ W 0 1 , p ( Ω ) u \in W^{1,p}_0(\Omega) u ∈ W 0 1 , p ( Ω ) ,
∥ ∇ R h u ∥ L p ( Ω ) ≤ C p ∥ ∇ u ∥ L p ( Ω ) . (8) \lVert\nabla R_hu\rVert_{L^p(\Omega)}\leq C_p\lVert\nabla u\rVert_{L^p(\Omega)}. \tag*{(8)} ∥ ∇ R h u ∥ L p ( Ω ) ≤ C p ∥ ∇ u ∥ L p ( Ω ) . (8) Moreover, for all u ∈ L ∞ ( Ω ) ∩ H 0 1 ( Ω ) u \in L^\infty(\Omega) \cap H^1_0(\Omega) u ∈ L ∞ ( Ω ) ∩ H 0 1 ( Ω ) ,
∥ R h u ∥ L ∞ ( Ω ) ≤ C ∣ ln h ∣ ∥ u ∥ L ∞ ( Ω ) . (9) \lVert R_hu\rVert_{L^\infty(\Omega)}\leq C|\ln h|\lVert u\rVert_{L^\infty(\Omega)}. \tag*{(9)} ∥ R h u ∥ L ∞ ( Ω ) ≤ C ∣ ln h ∣ ∥ u ∥ L ∞ ( Ω ) . (9)
The first estimate is proved in [24 Corollary 3.2] for d = 2 , 3 d=2,3 d = 2 , 3 (see also [42 ] for 2 ≤ p ≤ ∞ 2 \leq p \leq\infty 2 ≤ p ≤ ∞ and d = 2 d=2 d = 2 ). The second one is proved for smooth u u u in [43 Theorem 2] for d = 2 d=2 d = 2 and in [41 Theorem 12] for d = 3 d=3 d = 3 . By a standard density argument, it extends to all u ∈ L ∞ ( Ω ) ∩ H 0 1 ( Ω ) u \in L^\infty(\Omega) \cap H^1_0(\Omega) u ∈ L ∞ ( Ω ) ∩ H 0 1 ( Ω ) .
Proposition 2.6. Let 1 ≤ p < ∞ 1 \leq p < \infty 1 ≤ p < ∞ and set q : = max { p , 2 } q := \max\{p,2\} q := max { p , 2 } . There exists a constant C p > 0 C_p > 0 C p > 0 , independent of h h h , such that for all u ∈ W 2 , q ( Ω ) ∩ H 0 1 ( Ω ) u \in W^{2,q}(\Omega) \cap H^1_0(\Omega) u ∈ W 2 , q ( Ω ) ∩ H 0 1 ( Ω ) ,
∥ u − R h u ∥ L p ( Ω ) + h ∥ ∇ ( u − R h u ) ∥ L p ( Ω ) ≤ C p h 2 ∥ u ∥ W 2 , q ( Ω ) . \lVert u-R_hu\rVert_{L^p(\Omega)}+h\lVert\nabla(u-R_hu)\rVert_{L^p(\Omega)}\leq C_ph^2\lVert u\rVert_{W^{2,q}(\Omega)}. ∥ u − R h u ∥ L p ( Ω ) + h ∥ ∇ ( u − R h u ) ∥ L p ( Ω ) ≤ C p h 2 ∥ u ∥ W 2 , q ( Ω ) . Moreover, there exists a constant C > 0 C > 0 C > 0 , independent of h h h , such that for all u ∈ W 2 , ∞ ( Ω ) ∩ H 0 1 ( Ω ) u \in W^{2,\infty}(\Omega) \cap H^1_0(\Omega) u ∈ W 2 , ∞ ( Ω ) ∩ H 0 1 ( Ω ) ,
∥ u − R h u ∥ L ∞ ( Ω ) ≤ C h 2 ∣ ln h ∣ ∥ u ∥ W 2 , ∞ ( Ω ) , ∥ ∇ ( u − R h u ) ∥ L ∞ ( Ω ) ≤ C h ∥ u ∥ W 2 , ∞ ( Ω ) . \lVert u-R_hu\rVert_{L^\infty(\Omega)}\leq Ch^2|\ln h|\lVert u\rVert_{W^{2,\infty}(\Omega)},\qquad\lVert\nabla(u-R_hu)\rVert_{L^\infty(\Omega)}\leq Ch\lVert u\rVert_{W^{2,\infty}(\Omega)}. ∥ u − R h u ∥ L ∞ ( Ω ) ≤ C h 2 ∣ ln h ∣ ∥ u ∥ W 2 , ∞ ( Ω ) , ∥ ∇ ( u − R h u ) ∥ L ∞ ( Ω ) ≤ C h ∥ u ∥ W 2 , ∞ ( Ω ) .
For 1 ≤ p < 2 1 \leq p < 2 1 ≤ p < 2 , the first estimate follows from the case p = 2 p=2 p = 2 and Hölder’s inequality, since Ω \Omega Ω is bounded. For 2 ≤ p < ∞ 2 \leq p < \infty 2 ≤ p < ∞ , it is proved in [42 ] for d = 2 d=2 d = 2 , and for d = 3 d=3 d = 3 it follows from Proposition 2.5, standard interpolation estimates, and a duality argument based on the W 2 , p ′ W^{2,p'} W 2 , p ′ -regularity of the Laplacian on convex domains [23 , 28 ] . The L ∞ L^\infty L ∞ -estimates follow from Proposition 2.5, the identity u − R h u = ( I − R h ) ( u − I h u ) u-R_hu=(I-R_h)(u-I_hu) u − R h u = ( I − R h ) ( u − I h u ) , and standard interpolation estimates. For d = 1 d=1 d = 1 , the estimates in Propositions 2.5 and 2.6 are elementary since R h u = I h u R_hu=I_hu R h u = I h u .
Some technical results
In this subsection, we collect some technical results that will be used in the subsequent analysis. The first one is a W 1 , p W^{1,p} W 1 , p -regularity result for the Poisson problem with a right-hand side in divergence form on convex domains; see [27 Corollary 1] .
Lemma 2.7. Let 2 ≤ p < ∞ 2 \le p < \infty 2 ≤ p < ∞ and F ∈ [ L p ( Ω ) ] d \mathbf{F} \in[L^{p}(\Omega)]^{d} F ∈ [ L p ( Ω ) ] d , and let u ∈ H 0 1 ( Ω ) u \in H_{0}^{1}(\Omega) u ∈ H 0 1 ( Ω ) satisfy
( ∇ u , ∇ v ) L 2 ( Ω ) = ( F , ∇ v ) L 2 ( Ω ) ∀ v ∈ H 0 1 ( Ω ) . (\nabla u,\nabla v)_{L^{2}(\Omega)}=(\mathbf{F},\nabla v)_{L^{2}(\Omega)} \qquad\forall v \in H_{0}^{1}(\Omega). ( ∇ u , ∇ v ) L 2 ( Ω ) = ( F , ∇ v ) L 2 ( Ω ) ∀ v ∈ H 0 1 ( Ω ) . Then u ∈ W 0 1 , p ( Ω ) u \in W_{0}^{1,p}(\Omega) u ∈ W 0 1 , p ( Ω ) , and there exists a constant C p > 0 C_{p}>0 C p > 0 , independent of u u u and F \mathbf{F} F , such that
∥ ∇ u ∥ L p ( Ω ) ≤ C p ∥ F ∥ L p ( Ω ) . \|\nabla u\|_{L^{p}(\Omega)} \le C_{p}\|\mathbf{F}\|_{L^{p}(\Omega)}. ∥∇ u ∥ L p ( Ω ) ≤ C p ∥ F ∥ L p ( Ω ) .
Combining Lemma 2.7 with the stability of the Ritz projection, we obtain the following discrete regularity result.
Lemma 2.8. Let g ∈ L 2 ( Ω ) g \in L^{2}(\Omega) g ∈ L 2 ( Ω ) and F ∈ [ L 6 ( Ω ) ] d \mathbf{F} \in[L^{6}(\Omega)]^{d} F ∈ [ L 6 ( Ω ) ] d , and let z h ∈ V h 0 z_{h} \in V_{h}^{0} z h ∈ V h 0 satisfy
( ∇ z h , ∇ v h ) L 2 ( Ω ) = ( g , v h ) L 2 ( Ω ) + ( F , ∇ v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 . (\nabla z_{h},\nabla v_{h})_{L^{2}(\Omega)}=(g,v_{h})_{L^{2}(\Omega)}+(\mathbf{F},\nabla v_{h})_{L^{2}(\Omega)} \qquad\forall v_{h} \in V_{h}^{0}. ( ∇ z h , ∇ v h ) L 2 ( Ω ) = ( g , v h ) L 2 ( Ω ) + ( F , ∇ v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 . Then there exists a constant C > 0 C>0 C > 0 , independent of h h h , g g g , and F \mathbf{F} F , such that
∥ ∇ z h ∥ L 6 ( Ω ) ≤ C ( ∥ g ∥ L 2 ( Ω ) + ∥ F ∥ L 6 ( Ω ) ) . \|\nabla z_{h}\|_{L^{6}(\Omega)} \le C\bigl(\|g\|_{L^{2}(\Omega)}+\|\mathbf{F}\|_{L^{6}(\Omega)}\bigr). ∥∇ z h ∥ L 6 ( Ω ) ≤ C ( ∥ g ∥ L 2 ( Ω ) + ∥ F ∥ L 6 ( Ω ) ) .
Proof. Let w g , w F ∈ H 0 1 ( Ω ) w_{g},w_{\mathbf{F}} \in H_{0}^{1}(\Omega) w g , w F ∈ H 0 1 ( Ω ) be the solutions of
( ∇ w g , ∇ v ) L 2 ( Ω ) = ( g , v ) L 2 ( Ω ) , ( ∇ w F , ∇ v ) L 2 ( Ω ) = ( F , ∇ v ) L 2 ( Ω ) , ∀ v ∈ H 0 1 ( Ω ) . (\nabla w_{g},\nabla v)_{L^{2}(\Omega)}=(g,v)_{L^{2}(\Omega)}, \qquad(\nabla w_{\mathbf{F}},\nabla v)_{L^{2}(\Omega)}=(\mathbf{F},\nabla v)_{L^{2}(\Omega)}, \qquad\forall v \in H_{0}^{1}(\Omega). ( ∇ w g , ∇ v ) L 2 ( Ω ) = ( g , v ) L 2 ( Ω ) , ( ∇ w F , ∇ v ) L 2 ( Ω ) = ( F , ∇ v ) L 2 ( Ω ) , ∀ v ∈ H 0 1 ( Ω ) .
By the H 2 H^{2} H 2 -regularity on convex domains, Lemma 2.7 with p = 6 p=6 p = 6 , and the Sobolev embedding H 1 ( Ω ) ↪ L 6 ( Ω ) H^{1}(\Omega) \hookrightarrow L^{6}(\Omega) H 1 ( Ω ) ↪ L 6 ( Ω ) for d ≤ 3 d \le3 d ≤ 3 , we have
∥ ∇ w g ∥ L 6 ( Ω ) ≤ C ∥ w g ∥ H 2 ( Ω ) ≤ C ∥ g ∥ L 2 ( Ω ) , ∥ ∇ w F ∥ L 6 ( Ω ) ≤ C ∥ F ∥ L 6 ( Ω ) . \|\nabla w_{g}\|_{L^{6}(\Omega)} \le C\|w_{g}\|_{H^{2}(\Omega)} \le C\|g\|_{L^{2}(\Omega)}, \qquad\|\nabla w_{\mathbf{F}}\|_{L^{6}(\Omega)} \le C\|\mathbf{F}\|_{L^{6}(\Omega)}. ∥∇ w g ∥ L 6 ( Ω ) ≤ C ∥ w g ∥ H 2 ( Ω ) ≤ C ∥ g ∥ L 2 ( Ω ) , ∥∇ w F ∥ L 6 ( Ω ) ≤ C ∥ F ∥ L 6 ( Ω ) .
By the definition of R h R_{h} R h , for all v h ∈ V h 0 v_{h} \in V_{h}^{0} v h ∈ V h 0 ,
( ∇ R h ( w g + w F ) , ∇ v h ) L 2 ( Ω ) = ( g , v h ) L 2 ( Ω ) + ( F , ∇ v h ) L 2 ( Ω ) , (\nabla R_{h}(w_{g}+w_{\mathbf{F}}),\nabla v_{h})_{L^{2}(\Omega)}=(g,v_{h})_{L^{2}(\Omega)}+(\mathbf{F},\nabla v_{h})_{L^{2}(\Omega)}, ( ∇ R h ( w g + w F ) , ∇ v h ) L 2 ( Ω ) = ( g , v h ) L 2 ( Ω ) + ( F , ∇ v h ) L 2 ( Ω ) ,
and hence z h = R h ( w g + w F ) z_{h}=R_{h}(w_{g}+w_{\mathbf{F}}) z h = R h ( w g + w F ) . By Proposition 2.5 with p = 6 p=6 p = 6 , we obtain
∥ ∇ z h ∥ L 6 ( Ω ) ≤ C ∥ ∇ ( w g + w F ) ∥ L 6 ( Ω ) ≤ C ( ∥ g ∥ L 2 ( Ω ) + ∥ F ∥ L 6 ( Ω ) ) , \|\nabla z_{h}\|_{L^{6}(\Omega)} \le C\|\nabla(w_{g}+w_{\mathbf{F}})\|_{L^{6}(\Omega)} \le C(\|g\|_{L^{2}(\Omega)}+\|\mathbf{F}\|_{L^{6}(\Omega)}), ∥∇ z h ∥ L 6 ( Ω ) ≤ C ∥∇ ( w g + w F ) ∥ L 6 ( Ω ) ≤ C ( ∥ g ∥ L 2 ( Ω ) + ∥ F ∥ L 6 ( Ω ) ) ,
which completes the proof.
For a fixed u ∈ H 0 1 ( Ω ) u \in H_{0}^{1}(\Omega) u ∈ H 0 1 ( Ω ) , we define the bilinear form
a u ( v , w ) : = ∫ Ω ( ∇ v ⋅ ∇ w + V v w + β ∣ u ∣ 2 v w ) d x , v , w ∈ H 0 1 ( Ω ) , a_{u}(v,w):=\int_{\Omega}\left(\nabla v\cdot\nabla w+Vvw+\beta|u|^{2}vw\right)\,\mathrm{d}x,\qquad v,w \in H_{0}^{1}(\Omega), a u ( v , w ) := ∫ Ω ( ∇ v ⋅ ∇ w + V v w + β ∣ u ∣ 2 v w ) d x , v , w ∈ H 0 1 ( Ω ) ,
which is an inner product on H 0 1 ( Ω ) H_{0}^{1}(\Omega) H 0 1 ( Ω ) , and we denote by ∥ ⋅ ∥ a u \|\cdot\|_{a_{u}} ∥ ⋅ ∥ a u the induced norm.
Let H ⊂ H 0 1 ( Ω ) H \subset H_{0}^{1}(\Omega) H ⊂ H 0 1 ( Ω ) be a nontrivial closed subspace, and let u H ∈ H ∩ M u_{H} \in H \cap\mathcal{M} u H ∈ H ∩ M be a minimizer of E E E on H ∩ M H \cap\mathcal{M} H ∩ M , i.e.,
E ( u H ) = min v ∈ H ∩ M E ( v ) . E(u_{H})=\min_{v\in H\cap\mathcal{M}}E(v). E ( u H ) = v ∈ H ∩ M min E ( v ) .
Then u H u_{H} u H satisfies the Euler–Lagrange equation
a u H ( u H , v ) = λ H ( u H , v ) L 2 ( Ω ) ∀ v ∈ H , (10) a_{u_{H}}(u_{H},v)=\lambda_{H}(u_{H},v)_{L^{2}(\Omega)} \qquad\forall v\in H, \tag*{(10)} a u H ( u H , v ) = λ H ( u H , v ) L 2 ( Ω ) ∀ v ∈ H , (10)
where λ H : = a u H ( u H , u H ) \lambda_{H}:=a_{u_{H}}(u_{H},u_{H}) λ H := a u H ( u H , u H ) is the associated Lagrange multiplier.
Lemma 2.9. For every u ∈ H ∩ M u \in H \cap\mathcal{M} u ∈ H ∩ M , the following identity holds:
E ( u ) − E ( u H ) = 1 2 ( a u H ( u , u ) − λ H ) + β 4 ∥ u 2 − u H 2 ∥ L 2 ( Ω ) 2 . (11) E(u)-E(u_H)=\frac{1}{2}\left(a_{u_H}(u,u)-\lambda_H\right)+\frac{\beta}{4}\lVert u^2-u_H^2\rVert_{L^2(\Omega)}^2. \tag*{(11)} E ( u ) − E ( u H ) = 2 1 ( a u H ( u , u ) − λ H ) + 4 β ∥ u 2 − u H 2 ∥ L 2 ( Ω ) 2 . (11)
Proof. By the definition of λ H \lambda_H λ H , we have
λ H = ∫ Ω ( ∣ ∇ u H ∣ 2 + V u H 2 + β u H 4 ) d x . \lambda_H=\int_{\Omega}\left(\lvert\nabla u_H\rvert^2+Vu_H^2+\beta u_H^4\right)\,\mathrm{d}x. λ H = ∫ Ω ( ∣ ∇ u H ∣ 2 + V u H 2 + β u H 4 ) d x .
and hence
E ( u H ) = λ H 2 − β 4 ∫ Ω u H 4 d x . E(u_H)=\frac{\lambda_H}{2}-\frac{\beta}{4}\int_{\Omega}u_H^4\,\mathrm{d}x. E ( u H ) = 2 λ H − 4 β ∫ Ω u H 4 d x .
Adding and subtracting β 2 ∫ Ω u H 2 u 2 d x \frac{\beta}{2}\int_{\Omega}u_H^2u^2\,\mathrm{d}x 2 β ∫ Ω u H 2 u 2 d x , we obtain
E ( u ) − E ( u H ) = ∫ Ω ( 1 2 ∣ ∇ u ∣ 2 + 1 2 V u 2 + β 2 u H 2 u 2 ) d x + ∫ Ω β 4 u 4 − β 2 u H 2 u 2 + β 4 u H 4 d x − λ H 2 = 1 2 ( a u H ( u , u ) − λ H ) + β 4 ∫ Ω ( u 2 − u H 2 ) 2 d x , \begin{aligned}
E(u)-E(u_H)
&=\int_{\Omega}\left(\frac{1}{2}\lvert\nabla u\rvert^2+\frac{1}{2}Vu^2+\frac{\beta}{2}u_H^2u^2\right)\,\mathrm{d}x\\
&\quad+\int_{\Omega}\frac{\beta}{4}u^4-\frac{\beta}{2}u_H^2u^2+\frac{\beta}{4}u_H^4\,\mathrm{d}x-\frac{\lambda_H}{2}\\
&=\frac{1}{2}\left(a_{u_H}(u,u)-\lambda_H\right)+\frac{\beta}{4}\int_{\Omega}\left(u^2-u_H^2\right)^2\,\mathrm{d}x,
\end{aligned} E ( u ) − E ( u H ) = ∫ Ω ( 2 1 ∣ ∇ u ∣ 2 + 2 1 V u 2 + 2 β u H 2 u 2 ) d x + ∫ Ω 4 β u 4 − 2 β u H 2 u 2 + 4 β u H 4 d x − 2 λ H = 2 1 ( a u H ( u , u ) − λ H ) + 4 β ∫ Ω ( u 2 − u H 2 ) 2 d x ,
which completes the proof.
Consider the following linear eigenvalue problem on H H H : find ( w , μ ) ∈ H × R (w,\mu) \in H \times\mathbb{R} ( w , μ ) ∈ H × R such that
( ∇ w , ∇ v ) L 2 ( Ω ) + ( V w , v ) L 2 ( Ω ) + β ( ∣ u H ∣ 2 w , v ) L 2 ( Ω ) = μ ( w , v ) L 2 ( Ω ) ∀ v ∈ H . (12) (\nabla w,\nabla v)_{L^2(\Omega)}+(Vw,v)_{L^2(\Omega)}+\beta(\lvert u_H\rvert^2w,v)_{L^2(\Omega)}=\mu(w,v)_{L^2(\Omega)} \qquad\forall v \in H. \tag*{(12)} ( ∇ w , ∇ v ) L 2 ( Ω ) + ( V w , v ) L 2 ( Ω ) + β (∣ u H ∣ 2 w , v ) L 2 ( Ω ) = μ ( w , v ) L 2 ( Ω ) ∀ v ∈ H . (12)
It follows from (10) that λ H \lambda_H λ H is an eigenvalue of (12) with corresponding eigenfunction u H u_H u H . Moreover, the following result holds.
Lemma 2.10. Assume that λ H \lambda_H λ H is the smallest eigenvalue of (12) and that it is simple, and let μ 2 > λ H \mu_2>\lambda_H μ 2 > λ H denote the second smallest eigenvalue of (12) . Then for every u ∈ H ∩ M u \in H \cap\mathcal{M} u ∈ H ∩ M ,
min s ∈ { 1 , − 1 } ∥ u − s u H ∥ a u H 2 ≤ 2 ( μ 2 + λ H ) μ 2 − λ H ( E ( u ) − E ( u H ) ) . (13) \min_{s\in\{1,-1\}}\lVert u-su_H\rVert_{a_{u_H}}^2\leq\frac{2(\mu_2+\lambda_H)}{\mu_2-\lambda_H}\left(E(u)-E(u_H)\right). \tag*{(13)} s ∈ { 1 , − 1 } min ∥ u − s u H ∥ a u H 2 ≤ μ 2 − λ H 2 ( μ 2 + λ H ) ( E ( u ) − E ( u H ) ) . (13)
Proof. Fix u ∈ H ∩ M u \in H \cap\mathcal{M} u ∈ H ∩ M , set t : = ∣ ( u , u H ) L 2 ( Ω ) ∣ t:=\lvert(u,u_H)_{L^2(\Omega)}\rvert t := ∣( u , u H ) L 2 ( Ω ) ∣ , and choose s ∈ { − 1 , 1 } s\in\{-1,1\} s ∈ { − 1 , 1 } such that ( s u , u H ) L 2 ( Ω ) = t (su,u_H)_{L^2(\Omega)}=t ( s u , u H ) L 2 ( Ω ) = t . Let u ~ : = s u \widetilde{u}:=su u := s u and w : = u ~ − t u H ∈ H w:=\widetilde{u}-tu_H\in H w := u − t u H ∈ H . Since ∥ u ∥ L 2 ( Ω ) = ∥ u H ∥ L 2 ( Ω ) = 1 \lVert u\rVert_{L^2(\Omega)}=\lVert u_H\rVert_{L^2(\Omega)}=1 ∥ u ∥ L 2 ( Ω ) = ∥ u H ∥ L 2 ( Ω ) = 1 , the Cauchy–Schwarz inequality yields 0 ≤ t ≤ 1 0\leq t\leq1 0 ≤ t ≤ 1 . Moreover,
( w , u H ) L 2 ( Ω ) = ( u ~ , u H ) L 2 ( Ω ) − t ∥ u H ∥ L 2 ( Ω ) 2 = t − t = 0 , (w,u_H)_{L^2(\Omega)}=(\widetilde{u},u_H)_{L^2(\Omega)}-t\lVert u_H\rVert_{L^2(\Omega)}^2=t-t=0, ( w , u H ) L 2 ( Ω ) = ( u , u H ) L 2 ( Ω ) − t ∥ u H ∥ L 2 ( Ω ) 2 = t − t = 0 ,
and hence
1 = ∥ u ~ ∥ L 2 ( Ω ) 2 = ∥ w + t u H ∥ L 2 ( Ω ) 2 = ∥ w ∥ L 2 ( Ω ) 2 + t 2 . 1=\lVert\widetilde{u}\rVert_{L^2(\Omega)}^2=\lVert w+tu_H\rVert_{L^2(\Omega)}^2=\lVert w\rVert_{L^2(\Omega)}^2+t^2. 1 = ∥ u ∥ L 2 ( Ω ) 2 = ∥ w + t u H ∥ L 2 ( Ω ) 2 = ∥ w ∥ L 2 ( Ω ) 2 + t 2 .
Taking v = w ∈ H v=w\in H v = w ∈ H in (10) and using ( w , u H ) L 2 ( Ω ) = 0 (w,u_H)_{L^2(\Omega)}=0 ( w , u H ) L 2 ( Ω ) = 0 , we obtain
a u H ( u H , w ) = λ H ( u H , w ) L 2 ( Ω ) = 0. a_{u_H}(u_H,w)=\lambda_H(u_H,w)_{L^2(\Omega)}=0. a u H ( u H , w ) = λ H ( u H , w ) L 2 ( Ω ) = 0.
Together with a u H ( u H , u H ) = λ H a_{u_H}(u_H,u_H)=\lambda_H a u H ( u H , u H ) = λ H and ∥ w ∥ L 2 ( Ω ) 2 = 1 − t 2 \|w\|_{L^2(\Omega)}^2=1-t^2 ∥ w ∥ L 2 ( Ω ) 2 = 1 − t 2 , this yields
a u H ( u ~ , u ~ ) − λ H = a u H ( w + t u H , w + t u H ) − λ H = a u H ( w , w ) + 2 t a u H ( w , u H ) + t 2 a u H ( u H , u H ) − λ H = a u H ( w , w ) − λ H ( 1 − t 2 ) = a u H ( w , w ) − λ H ∥ w ∥ L 2 ( Ω ) 2 . \begin{aligned}
a_{u_H}(\tilde u,\tilde u)-\lambda_H
&=a_{u_H}(w+tu_H,w+tu_H)-\lambda_H\\
&=a_{u_H}(w,w)+2t\,a_{u_H}(w,u_H)+t^2a_{u_H}(u_H,u_H)-\lambda_H\\
&=a_{u_H}(w,w)-\lambda_H(1-t^2)=a_{u_H}(w,w)-\lambda_H\|w\|_{L^2(\Omega)}^2.
\end{aligned} a u H ( u ~ , u ~ ) − λ H = a u H ( w + t u H , w + t u H ) − λ H = a u H ( w , w ) + 2 t a u H ( w , u H ) + t 2 a u H ( u H , u H ) − λ H = a u H ( w , w ) − λ H ( 1 − t 2 ) = a u H ( w , w ) − λ H ∥ w ∥ L 2 ( Ω ) 2 .
Since λ H \lambda_H λ H is the smallest eigenvalue of (12) with eigenfunction u H u_H u H , the Courant–Fischer min-max principle [5 ] yields
μ 2 = inf 0 ≠ z ∈ H , ( z , u H ) L 2 ( Ω ) = 0 a u H ( z , z ) ∥ z ∥ L 2 ( Ω ) 2 . \mu_2=\inf_{\substack{0\ne z\in H,\\(z,u_H)_{L^2(\Omega)}=0}}\frac{a_{u_H}(z,z)}{\|z\|_{L^2(\Omega)}^2}. μ 2 = 0 = z ∈ H , ( z , u H ) L 2 ( Ω ) = 0 inf ∥ z ∥ L 2 ( Ω ) 2 a u H ( z , z ) .
and hence ∥ w ∥ L 2 ( Ω ) 2 ≤ μ 2 − 1 a u H ( w , w ) \|w\|_{L^2(\Omega)}^2\le\mu_2^{-1}a_{u_H}(w,w) ∥ w ∥ L 2 ( Ω ) 2 ≤ μ 2 − 1 a u H ( w , w ) . Consequently,
a u H ( u ~ , u ~ ) − λ H ≥ ( 1 − λ H μ 2 ) a u H ( w , w ) . a_{u_H}(\tilde u,\tilde u)-\lambda_H\ge\left(1-\frac{\lambda_H}{\mu_2}\right)a_{u_H}(w,w). a u H ( u ~ , u ~ ) − λ H ≥ ( 1 − μ 2 λ H ) a u H ( w , w ) .
Since E E E is even, i.e., E ( u ) = E ( u ~ ) E(u)=E(\tilde u) E ( u ) = E ( u ~ ) , Lemma 2.9 together with the above estimate yields
E ( u ) − E ( u H ) = E ( u ~ ) − E ( u H ) ≥ 1 2 ( a u H ( u ~ , u ~ ) − λ H ) ≥ 1 2 ( 1 − λ H μ 2 ) a u H ( w , w ) . E(u)-E(u_H)=E(\tilde u)-E(u_H)\ge\frac{1}{2}\left(a_{u_H}(\tilde u,\tilde u)-\lambda_H\right)\ge\frac{1}{2}\left(1-\frac{\lambda_H}{\mu_2}\right)a_{u_H}(w,w). E ( u ) − E ( u H ) = E ( u ~ ) − E ( u H ) ≥ 2 1 ( a u H ( u ~ , u ~ ) − λ H ) ≥ 2 1 ( 1 − μ 2 λ H ) a u H ( w , w ) .
On the other hand, using a u H ( u H , w ) = 0 a_{u_H}(u_H,w)=0 a u H ( u H , w ) = 0 and a u H ( u H , u H ) = λ H a_{u_H}(u_H,u_H)=\lambda_H a u H ( u H , u H ) = λ H , we obtain
∥ u ~ − u H ∥ a u H 2 = a u H ( w , w ) + λ H ( 1 − t ) 2 . \|\tilde u-u_H\|_{a_{u_H}}^2=a_{u_H}(w,w)+\lambda_H(1-t)^2. ∥ u ~ − u H ∥ a u H 2 = a u H ( w , w ) + λ H ( 1 − t ) 2 .
Since 0 ≤ t ≤ 1 0\le t\le1 0 ≤ t ≤ 1 , we have ( 1 − t ) 2 ≤ 1 − t 2 = ∥ w ∥ L 2 ( Ω ) 2 (1-t)^2\le1-t^2=\|w\|_{L^2(\Omega)}^2 ( 1 − t ) 2 ≤ 1 − t 2 = ∥ w ∥ L 2 ( Ω ) 2 . Together with λ H > 0 \lambda_H>0 λ H > 0 and ∥ w ∥ L 2 ( Ω ) 2 ≤ μ 2 − 1 a u H ( w , w ) \|w\|_{L^2(\Omega)}^2\le\mu_2^{-1}a_{u_H}(w,w) ∥ w ∥ L 2 ( Ω ) 2 ≤ μ 2 − 1 a u H ( w , w ) , this yields
∥ u ~ − u H ∥ a u H 2 = a u H ( w , w ) + λ H ( 1 − t ) 2 ≤ ( 1 + λ H μ 2 ) a u H ( w , w ) . \|\tilde u-u_H\|_{a_{u_H}}^2=a_{u_H}(w,w)+\lambda_H(1-t)^2\le\left(1+\frac{\lambda_H}{\mu_2}\right)a_{u_H}(w,w). ∥ u ~ − u H ∥ a u H 2 = a u H ( w , w ) + λ H ( 1 − t ) 2 ≤ ( 1 + μ 2 λ H ) a u H ( w , w ) .
Combining this with the lower bound for E ( u ) − E ( u H ) E(u)-E(u_H) E ( u ) − E ( u H ) above, we arrive at
∥ u ~ − u H ∥ a u H 2 ≤ 2 ( μ 2 + λ H ) μ 2 − λ H ( E ( u ) − E ( u H ) ) . \|\tilde u-u_H\|_{a_{u_H}}^2\le\frac{2(\mu_2+\lambda_H)}{\mu_2-\lambda_H}\left(E(u)-E(u_H)\right). ∥ u ~ − u H ∥ a u H 2 ≤ μ 2 − λ H 2 ( μ 2 + λ H ) ( E ( u ) − E ( u H ) ) .
Since ∥ u ~ − u H ∥ a u H = ∥ u − s u H ∥ a u H \|\tilde u-u_H\|_{a_{u_H}}=\|u-su_H\|_{a_{u_H}} ∥ u ~ − u H ∥ a u H = ∥ u − s u H ∥ a u H , this completes the proof.
Corollary 2.11. Under the assumptions of Lemma 2.10 , the minimizer u H u_H u H of E E E on H ∩ M H\cap\mathcal{M} H ∩ M is unique up to sign, i.e., every minimizer u u u of E E E on H ∩ M H\cap\mathcal{M} H ∩ M satisfies u = u H u=u_H u = u H or u = − u H u=-u_H u = − u H .
The standard finite element method
A discrete ground state of the standard FEM is defined as
u h ∗ ∈ a r g m i n v h ∈ V h 0 ∩ M E ( v h ) with ( u h ∗ , u ∗ ) L 2 ( Ω ) ≥ 0. u_h^*\in\mathop{\rm arg\,min}_{v_h\in V_h^0\cap\mathcal{M}}E(v_h)
\qquad\text{with}\qquad
(u_h^*,u^*)_{L^2(\Omega)}\ge0. u h ∗ ∈ arg min v h ∈ V h 0 ∩ M E ( v h ) with ( u h ∗ , u ∗ ) L 2 ( Ω ) ≥ 0.
Taking H = V h 0 H=V_h^0 H = V h 0 in (10) , we see that u h ∗ u_h^* u h ∗ satisfies the discrete Euler–Lagrange equation
a u h ∗ ( u h ∗ , v h ) = λ h ∗ ( u h ∗ , v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 (14) a_{u_h^*}(u_h^*,v_h)=\lambda_h^*(u_h^*,v_h)_{L^2(\Omega)}
\qquad\forall v_h\in V_h^0 \tag*{(14)} a u h ∗ ( u h ∗ , v h ) = λ h ∗ ( u h ∗ , v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 (14)
where λ h ∗ : = a u h ∗ ( u h ∗ , u h ∗ ) \lambda_h^*:=a_{u_h^*}(u_h^*,u_h^*) λ h ∗ := a u h ∗ ( u h ∗ , u h ∗ ) is the associated Lagrange multiplier.
Uniqueness of the discrete ground state
Since V h 0 ∩ M V_h^0 \cap\mathcal{M} V h 0 ∩ M is compact in the finite-dimensional space V h 0 V_h^0 V h 0 and E E E is continuous, a discrete ground state u h ∗ u_h^* u h ∗ exists. Moreover, with the sign chosen as above, it converges to the ground state u ∗ u^* u ∗ in H 1 ( Ω ) H^1(\Omega) H 1 ( Ω ) ; see, e.g., [10 , 16 , 46 ] :
∥ u h ∗ − u ∗ ∥ H 1 ( Ω ) → 0 as h → 0. (15) \lVert u_h^* - u^* \rVert_{H^1(\Omega)} \to0 \qquad\text{as } h \to0. \tag*{(15)} ∥ u h ∗ − u ∗ ∥ H 1 ( Ω ) → 0 as h → 0. (15)
As a consequence, the bilinear forms a u h ∗ ( ⋅ , ⋅ ) a_{u_h^*}(\cdot,\cdot) a u h ∗ ( ⋅ , ⋅ ) and a u ∗ ( ⋅ , ⋅ ) a_{u^*}(\cdot,\cdot) a u ∗ ( ⋅ , ⋅ ) are equivalent, uniformly in h h h , for sufficiently small h h h .
Lemma 3.1. There exists a sequence ϵ h ≥ 0 \epsilon_h \ge0 ϵ h ≥ 0 with ϵ h → 0 \epsilon_h \to0 ϵ h → 0 as h → 0 h \to0 h → 0 such that for all v ∈ H 0 1 ( Ω ) v \in H_0^1(\Omega) v ∈ H 0 1 ( Ω ) ,
( 1 − ϵ h ) a u ∗ ( v , v ) ≤ a u h ∗ ( v , v ) ≤ ( 1 + ϵ h ) a u ∗ ( v , v ) . (1-\epsilon_h)a_{u^*}(v,v) \le a_{u_h^*}(v,v) \le(1+\epsilon_h)a_{u^*}(v,v). ( 1 − ϵ h ) a u ∗ ( v , v ) ≤ a u h ∗ ( v , v ) ≤ ( 1 + ϵ h ) a u ∗ ( v , v ) . Proof. For any v ∈ H 0 1 ( Ω ) v \in H_0^1(\Omega) v ∈ H 0 1 ( Ω ) , it follows from Hölder’s inequality and the Sobolev embedding H 0 1 ( Ω ) ↪ L 6 ( Ω ) H_0^1(\Omega) \hookrightarrow L^6(\Omega) H 0 1 ( Ω ) ↪ L 6 ( Ω ) that
∣ a u h ∗ ( v , v ) − a u ∗ ( v , v ) ∣ = β ∣ ∫ Ω ( u h ∗ + u ∗ ) ( u h ∗ − u ∗ ) v 2 d x ∣ \left|a_{u_h^*}(v,v)-a_{u^*}(v,v)\right|
= \beta\left|\int_\Omega(u_h^*+u^*)(u_h^*-u^*)v^2\,\mathrm{d}x\right| a u h ∗ ( v , v ) − a u ∗ ( v , v ) = β ∫ Ω ( u h ∗ + u ∗ ) ( u h ∗ − u ∗ ) v 2 d x ≤ C β ∥ u h ∗ + u ∗ ∥ H 1 ( Ω ) ∥ u h ∗ − u ∗ ∥ H 1 ( Ω ) ∥ ∇ v ∥ L 2 ( Ω ) 2 . \le C\beta\lVert u_h^*+u^*\rVert_{H^1(\Omega)}\lVert u_h^*-u^*\rVert_{H^1(\Omega)}\lVert\nabla v\rVert_{L^2(\Omega)}^2. ≤ C β ∥ u h ∗ + u ∗ ∥ H 1 ( Ω ) ∥ u h ∗ − u ∗ ∥ H 1 ( Ω ) ∥ ∇ v ∥ L 2 ( Ω ) 2 . Setting ϵ h : = C β ∥ u h ∗ + u ∗ ∥ H 1 ( Ω ) ∥ u h ∗ − u ∗ ∥ H 1 ( Ω ) \epsilon_h := C\beta\lVert u_h^*+u^*\rVert_{H^1(\Omega)}\lVert u_h^*-u^*\rVert_{H^1(\Omega)} ϵ h := C β ∥ u h ∗ + u ∗ ∥ H 1 ( Ω ) ∥ u h ∗ − u ∗ ∥ H 1 ( Ω ) and using ∥ ∇ v ∥ L 2 ( Ω ) 2 ≤ a u ∗ ( v , v ) \lVert\nabla v\rVert_{L^2(\Omega)}^2 \le a_{u^*}(v,v) ∥ ∇ v ∥ L 2 ( Ω ) 2 ≤ a u ∗ ( v , v ) , we obtain
∣ a u h ∗ ( v , v ) − a u ∗ ( v , v ) ∣ ≤ ϵ h a u ∗ ( v , v ) . \left|a_{u_h^*}(v,v)-a_{u^*}(v,v)\right| \le\epsilon_h a_{u^*}(v,v). a u h ∗ ( v , v ) − a u ∗ ( v , v ) ≤ ϵ h a u ∗ ( v , v ) . Since ∥ u h ∗ ∥ H 1 ( Ω ) \lVert u_h^*\rVert_{H^1(\Omega)} ∥ u h ∗ ∥ H 1 ( Ω ) is uniformly bounded, (15) implies ϵ h → 0 \epsilon_h \to0 ϵ h → 0 as h → 0 h \to0 h → 0 , which completes the proof.
Let Λ 1 , h ≤ Λ 2 , h ≤ ⋯ \Lambda_{1,h} \le\Lambda_{2,h} \le\cdots Λ 1 , h ≤ Λ 2 , h ≤ ⋯ denote the eigenvalues of the following linear eigenvalue problem: find ( w h , Λ h ) ∈ V h 0 × R (w_h,\Lambda_h) \in V_h^0 \times\mathbb{R} ( w h , Λ h ) ∈ V h 0 × R with w h ≠ 0 w_h \ne0 w h = 0 such that
a u h ∗ ( w h , v h ) = Λ h ( w h , v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 . a_{u_h^*}(w_h,v_h) = \Lambda_h(w_h,v_h)_{L^2(\Omega)} \qquad\forall v_h \in V_h^0. a u h ∗ ( w h , v h ) = Λ h ( w h , v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 .
It follows from (14) that ( λ h ∗ , u h ∗ ) (\lambda_h^*,u_h^*) ( λ h ∗ , u h ∗ ) is an eigenpair of this problem. Moreover, the following result holds.
Lemma 3.2. There exists h 0 > 0 h_0>0 h 0 > 0 such that for all 0 < h ≤ h 0 0<h\le h_0 0 < h ≤ h 0 ,
Λ 1 , h = λ h ∗ < Λ 2 , h . \Lambda_{1,h}=\lambda_h^*<\Lambda_{2,h}. Λ 1 , h = λ h ∗ < Λ 2 , h . Proof. For v ∈ H 0 1 ( Ω ) ∖ { 0 } v \in H_0^1(\Omega)\setminus\{0\} v ∈ H 0 1 ( Ω ) ∖ { 0 } , we define the Rayleigh quotients
R u ∗ ( v ) : = a u ∗ ( v , v ) ∥ v ∥ L 2 ( Ω ) 2 , R u h ∗ ( v ) : = a u h ∗ ( v , v ) ∥ v ∥ L 2 ( Ω ) 2 . R_{u^*}(v):=\frac{a_{u^*}(v,v)}{\lVert v\rVert_{L^2(\Omega)}^2}, \qquad R_{u_h^*}(v):=\frac{a_{u_h^*}(v,v)}{\lVert v\rVert_{L^2(\Omega)}^2}. R u ∗ ( v ) := ∥ v ∥ L 2 ( Ω ) 2 a u ∗ ( v , v ) , R u h ∗ ( v ) := ∥ v ∥ L 2 ( Ω ) 2 a u h ∗ ( v , v ) . For a subspace X ⊂ H 0 1 ( Ω ) X\subset H_0^1(\Omega) X ⊂ H 0 1 ( Ω ) , let S 2 ( X ) S_2(X) S 2 ( X ) denote the set of all two-dimensional subspaces of X X X . Let μ 2 \mu_2 μ 2 denote the second smallest eigenvalue of (3) . By Proposition 2.2, we have μ 2 > μ 1 = λ ∗ \mu_2>\mu_1=\lambda^* μ 2 > μ 1 = λ ∗ , and the min-max principle yields
μ 2 = inf Y ∈ S 2 ( H 0 1 ( Ω ) ) max 0 ≠ v ∈ Y R u ∗ ( v ) . \mu_2=\inf_{Y\in S_2(H_0^1(\Omega))}\ \max_{0\ne v\in Y} R_{u^*}(v). μ 2 = Y ∈ S 2 ( H 0 1 ( Ω )) inf 0 = v ∈ Y max R u ∗ ( v ) .
Fix S h ∈ S 2 ( V h 0 ) S_h \in\mathcal{S}_2(V_h^0) S h ∈ S 2 ( V h 0 ) . Since S h S_h S h is finite-dimensional, there exists v ^ h ∈ S h ∖ { 0 } \widehat{v}_h \in S_h \setminus\{0\} v h ∈ S h ∖ { 0 } such that
R u ∗ ( v ^ h ) = max 0 ≠ v h ∈ S h R u ∗ ( v h ) . R_{u^*}(\widehat{v}_h)=\max_{0\ne v_h\in S_h}R_{u^*}(v_h). R u ∗ ( v h ) = 0 = v h ∈ S h max R u ∗ ( v h ) .
By Lemma 3.1, we obtain
max 0 ≠ v h ∈ S h R u h ∗ ( v h ) ≥ R u h ∗ ( v ^ h ) ≥ ( 1 − ϵ h ) R u ∗ ( v ^ h ) = ( 1 − ϵ h ) max 0 ≠ v h ∈ S h R u ∗ ( v h ) . \max_{0\ne v_h\in S_h}R_{u_h^*}(v_h)\ge R_{u_h^*}(\widehat{v}_h)\ge(1-\epsilon_h)R_{u^*}(\widehat{v}_h)=(1-\epsilon_h)\max_{0\ne v_h\in S_h}R_{u^*}(v_h). 0 = v h ∈ S h max R u h ∗ ( v h ) ≥ R u h ∗ ( v h ) ≥ ( 1 − ϵ h ) R u ∗ ( v h ) = ( 1 − ϵ h ) 0 = v h ∈ S h max R u ∗ ( v h ) .
Taking the infimum over all S h ∈ S 2 ( V h 0 ) S_h \in\mathcal{S}_2(V_h^0) S h ∈ S 2 ( V h 0 ) and using the min-max principle for the discrete problem, we arrive at
Λ 2 , h = inf S h ∈ S 2 ( V h 0 ) max 0 ≠ v h ∈ S h R u h ∗ ( v h ) ≥ ( 1 − ϵ h ) inf S h ∈ S 2 ( V h 0 ) max 0 ≠ v h ∈ S h R u ∗ ( v h ) ⏟ = : Λ ^ 2 , h . \Lambda_{2,h}=\inf_{S_h\in\mathcal{S}_2(V_h^0)}\max_{0\ne v_h\in S_h}R_{u_h^*}(v_h)\ge(1-\epsilon_h)\underbrace{\inf_{S_h\in\mathcal{S}_2(V_h^0)}\max_{0\ne v_h\in S_h}R_{u^*}(v_h)}_{=:\widehat{\Lambda}_{2,h}}. Λ 2 , h = S h ∈ S 2 ( V h 0 ) inf 0 = v h ∈ S h max R u h ∗ ( v h ) ≥ ( 1 − ϵ h ) =: Λ 2 , h S h ∈ S 2 ( V h 0 ) inf 0 = v h ∈ S h max R u ∗ ( v h ) .
Since V h 0 ⊂ H 0 1 ( Ω ) V_h^0\subset H_0^1(\Omega) V h 0 ⊂ H 0 1 ( Ω ) , we have S 2 ( V h 0 ) ⊂ S 2 ( H 0 1 ( Ω ) ) \mathcal{S}_2(V_h^0)\subset\mathcal{S}_2(H_0^1(\Omega)) S 2 ( V h 0 ) ⊂ S 2 ( H 0 1 ( Ω )) , and hence
Λ ^ 2 , h = inf S h ∈ S 2 ( V h 0 ) max 0 ≠ v h ∈ S h R u ∗ ( v h ) ≥ inf Y ∈ S 2 ( H 0 1 ( Ω ) ) max 0 ≠ v ∈ Y R u ∗ ( v ) = μ 2 . \widehat{\Lambda}_{2,h}=\inf_{S_h\in\mathcal{S}_2(V_h^0)}\max_{0\ne v_h\in S_h}R_{u^*}(v_h)\ge\inf_{Y\in\mathcal{S}_2(H_0^1(\Omega))}\max_{0\ne v\in Y}R_{u^*}(v)=\mu_2. Λ 2 , h = S h ∈ S 2 ( V h 0 ) inf 0 = v h ∈ S h max R u ∗ ( v h ) ≥ Y ∈ S 2 ( H 0 1 ( Ω )) inf 0 = v ∈ Y max R u ∗ ( v ) = μ 2 .
Consequently,
Λ 2 , h ≥ ( 1 − ϵ h ) μ 2 . \Lambda_{2,h}\ge(1-\epsilon_h)\mu_2. Λ 2 , h ≥ ( 1 − ϵ h ) μ 2 .
Set δ : = μ 2 − λ ∗ > 0 \delta:=\mu_2-\lambda^*>0 δ := μ 2 − λ ∗ > 0 . Since λ h ∗ = a u h ∗ ( u h ∗ , u h ∗ ) \lambda_h^*=a_{u_h^*}(u_h^*,u_h^*) λ h ∗ = a u h ∗ ( u h ∗ , u h ∗ ) and λ ∗ = a u ∗ ( u ∗ , u ∗ ) \lambda^*=a_{u^*}(u^*,u^*) λ ∗ = a u ∗ ( u ∗ , u ∗ ) , it follows from (15) that λ h ∗ → λ ∗ \lambda_h^*\to\lambda^* λ h ∗ → λ ∗ as h → 0 h\to0 h → 0 . Together with ϵ h → 0 \epsilon_h\to0 ϵ h → 0 , there exists h 0 > 0 h_0>0 h 0 > 0 such that for all h ≤ h 0 h\le h_0 h ≤ h 0 ,
ϵ h μ 2 < δ 4 , ∣ λ h ∗ − λ ∗ ∣ < δ 4 . \epsilon_h\mu_2<\frac{\delta}{4},\qquad|\lambda_h^*-\lambda^*|<\frac{\delta}{4}. ϵ h μ 2 < 4 δ , ∣ λ h ∗ − λ ∗ ∣ < 4 δ .
For such h h h , we obtain
Λ 2 , h − λ h ∗ ≥ ( μ 2 − δ 4 ) − ( λ ∗ + δ 4 ) = δ 2 > 0. \Lambda_{2,h}-\lambda_h^*\ge\left(\mu_2-\frac{\delta}{4}\right)-\left(\lambda^*+\frac{\delta}{4}\right)=\frac{\delta}{2}>0. Λ 2 , h − λ h ∗ ≥ ( μ 2 − 4 δ ) − ( λ ∗ + 4 δ ) = 2 δ > 0.
Since λ h ∗ \lambda_h^* λ h ∗ is an eigenvalue of the discrete linear problem and λ h ∗ < Λ 2 , h \lambda_h^*<\Lambda_{2,h} λ h ∗ < Λ 2 , h , it must be the smallest one, i.e., Λ 1 , h = λ h ∗ < Λ 2 , h \Lambda_{1,h}=\lambda_h^*<\Lambda_{2,h} Λ 1 , h = λ h ∗ < Λ 2 , h . This completes the proof. □
Corollary 3.3. It holds that
lim inf h → 0 ( Λ 2 , h − λ h ∗ ) ≥ μ 2 − λ ∗ > 0. \liminf_{h\to0}(\Lambda_{2,h}-\lambda_h^*)\ge\mu_2-\lambda^*>0. h → 0 lim inf ( Λ 2 , h − λ h ∗ ) ≥ μ 2 − λ ∗ > 0.
This follows directly from the proof of Lemma 3.2, since Λ 2 , h − λ h ∗ ≥ ( 1 − ϵ h ) μ 2 − λ h ∗ \Lambda_{2,h}-\lambda_h^*\ge(1-\epsilon_h)\mu_2-\lambda_h^* Λ 2 , h − λ h ∗ ≥ ( 1 − ϵ h ) μ 2 − λ h ∗ , ϵ h → 0 \epsilon_h\to0 ϵ h → 0 , and λ h ∗ → λ ∗ \lambda_h^*\to\lambda^* λ h ∗ → λ ∗ .
Remark 3.4. In [29 Section 2] , it is pointed out that, if the discrete ground states converge to u ∗ u^* u ∗ in L ∞ ( Ω ) L^\infty(\Omega) L ∞ ( Ω ) , a min-max argument shows that λ h ∗ \lambda_h^* λ h ∗ is the smallest eigenvalue of the discrete linear eigenvalue problem for sufficiently small h h h . Lemma 3.2 shows that convergence in H 1 ( Ω ) H^1(\Omega) H 1 ( Ω ) is sufficient, and that the smallest eigenvalue is moreover separated from the rest of the spectrum by a uniform gap.
Combining Lemma 3.2 with Corollary 2.11 for H = V h 0 H=V_h^0 H = V h 0 , we obtain the following result.
Theorem 3.5. There exists h 0 > 0 h_0>0 h 0 > 0 such that for all 0 < h ≤ h 0 0<h\le h_0 0 < h ≤ h 0 , the minimizer of E E E on V h 0 ∩ M V_h^0\cap\mathcal{M} V h 0 ∩ M is unique up to sign, i.e., u h ∗ u_h^* u h ∗ and − u h ∗ -u_h^* − u h ∗ are the only two minimizers.
L p L^p L p and W 1 , p W^{1,p} W 1 , p convergence
We first recall the following a priori error estimates in the L 2 L^2 L 2 - and H 1 H^1 H 1 -norms; see, e.g., [10 , 16 , 46 ] .
Theorem 3.6. There exists h 0 > 0 h_0 > 0 h 0 > 0 such that for all 0 < h ≤ h 0 0 < h \le h_0 0 < h ≤ h 0 ,
∣ λ h ∗ − λ ∗ ∣ + ∥ u h ∗ − u ∗ ∥ L 2 ( Ω ) + h ∥ ∇ ( u h ∗ − u ∗ ) ∥ L 2 ( Ω ) ≤ C h 2 . |\lambda_h^* - \lambda^*| + \|u_h^* - u^*\|_{L^2(\Omega)} + h\|\nabla(u_h^* - u^*)\|_{L^2(\Omega)} \le Ch^2. ∣ λ h ∗ − λ ∗ ∣ + ∥ u h ∗ − u ∗ ∥ L 2 ( Ω ) + h ∥∇ ( u h ∗ − u ∗ ) ∥ L 2 ( Ω ) ≤ C h 2 .
As a consequence, we obtain the following uniform bounds.
Lemma 3.7. There exists h 0 > 0 h_0 > 0 h 0 > 0 such that for all 0 < h ≤ h 0 0 < h \le h_0 0 < h ≤ h 0 ,
∥ u h ∗ ∥ L ∞ ( Ω ) + ∣ λ h ∗ ∣ ≤ C . \|u_h^*\|_{L^\infty(\Omega)} + |\lambda_h^*| \le C. ∥ u h ∗ ∥ L ∞ ( Ω ) + ∣ λ h ∗ ∣ ≤ C .
Proof. The bound for λ h ∗ \lambda_h^* λ h ∗ follows directly from Theorem 3.6 , so it remains to bound u h ∗ u_h^* u h ∗ . By the inverse inequality [8 ] and the interpolation estimate, we obtain
∥ u h ∗ ∥ L ∞ ( Ω ) ≤ ∥ u h ∗ − I h u ∗ ∥ L ∞ ( Ω ) + ∥ I h u ∗ ∥ L ∞ ( Ω ) ≤ C h − d 2 ( ∥ u h ∗ − u ∗ ∥ L 2 ( Ω ) + ∥ u ∗ − I h u ∗ ∥ L 2 ( Ω ) ) + ∥ u ∗ ∥ L ∞ ( Ω ) ≤ C h 2 − d 2 + C ≤ C , \begin{aligned}
\|u_h^*\|_{L^\infty(\Omega)}
&\le\|u_h^* - I_hu^*\|_{L^\infty(\Omega)} + \|I_hu^*\|_{L^\infty(\Omega)} \\
&\le Ch^{-\frac{d}{2}}\left(\|u_h^* - u^*\|_{L^2(\Omega)} + \|u^* - I_hu^*\|_{L^2(\Omega)}\right) + \|u^*\|_{L^\infty(\Omega)} \\
&\le Ch^{2-\frac{d}{2}} + C \le C,
\end{aligned} ∥ u h ∗ ∥ L ∞ ( Ω ) ≤ ∥ u h ∗ − I h u ∗ ∥ L ∞ ( Ω ) + ∥ I h u ∗ ∥ L ∞ ( Ω ) ≤ C h − 2 d ( ∥ u h ∗ − u ∗ ∥ L 2 ( Ω ) + ∥ u ∗ − I h u ∗ ∥ L 2 ( Ω ) ) + ∥ u ∗ ∥ L ∞ ( Ω ) ≤ C h 2 − 2 d + C ≤ C ,
where we used d ≤ 3 d \le3 d ≤ 3 in the last step. □
Since Ω \Omega Ω is bounded, Hölder’s inequality and Theorem 3.6 imply that for all p ∈ [ 1 , 2 ] p \in[1,2] p ∈ [ 1 , 2 ] ,
∥ u h ∗ − u ∗ ∥ L p ( Ω ) + h ∥ ∇ ( u h ∗ − u ∗ ) ∥ L p ( Ω ) ≤ C h 2 . (16) \|u_h^* - u^*\|_{L^p(\Omega)} + h\|\nabla(u_h^* - u^*)\|_{L^p(\Omega)} \le Ch^2. \tag*{(16)} ∥ u h ∗ − u ∗ ∥ L p ( Ω ) + h ∥∇ ( u h ∗ − u ∗ ) ∥ L p ( Ω ) ≤ C h 2 . (16)
It therefore remains to consider the case 2 < p ≤ ∞ 2 < p \le\infty 2 < p ≤ ∞ .
We prove the convergence in L p L^p L p and W 1 , p W^{1,p} W 1 , p by a perturbation argument; see, e.g., [20 , 16 , 31 ] . The key observation is that both u ∗ u^* u ∗ and u h ∗ u_h^* u h ∗ can be regarded as solutions of Poisson problems. More precisely, by (1) , the ground state u ∗ ∈ H 0 1 ( Ω ) u^* \in H^1_0(\Omega) u ∗ ∈ H 0 1 ( Ω ) satisfies
− Δ u ∗ = f : = λ ∗ u ∗ − V u ∗ − β ( u ∗ ) 3 . (17) -\Delta u^* = f := \lambda^*u^* - Vu^* - \beta(u^*)^3. \tag*{(17)} − Δ u ∗ = f := λ ∗ u ∗ − V u ∗ − β ( u ∗ ) 3 . (17)
and, by (14) , the discrete ground state u h ∗ u_h^* u h ∗ satisfies
( ∇ u h ∗ , ∇ v h ) L 2 ( Ω ) = ( f h , v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 , (\nabla u_h^*, \nabla v_h)_{L^2(\Omega)} = (f_h, v_h)_{L^2(\Omega)} \qquad\forall v_h \in V_h^0, ( ∇ u h ∗ , ∇ v h ) L 2 ( Ω ) = ( f h , v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 ,
where f h : = λ h ∗ u h ∗ − V u h ∗ − β ( u h ∗ ) 3 f_h := \lambda_h^*u_h^* - Vu_h^* - \beta(u_h^*)^3 f h := λ h ∗ u h ∗ − V u h ∗ − β ( u h ∗ ) 3 . We first estimate the difference f − f h f - f_h f − f h .
Lemma 3.8. There exists h 0 > 0 h_0 > 0 h 0 > 0 such that for all 0 < h ≤ h 0 0 < h \le h_0 0 < h ≤ h 0 ,
∥ f − f h ∥ L 2 ( Ω ) ≤ C h 2 . \|f - f_h\|_{L^2(\Omega)} \le Ch^2. ∥ f − f h ∥ L 2 ( Ω ) ≤ C h 2 .
Proof. We decompose f − f h f - f_h f − f h as
f − f h = ( λ ∗ − λ h ∗ ) u ∗ + λ h ∗ ( u ∗ − u h ∗ ) − V ( u ∗ − u h ∗ ) − β ( ( u ∗ ) 3 − ( u h ∗ ) 3 ) = ( λ ∗ − λ h ∗ ) u ∗ + ( λ h ∗ − V − β ( ( u ∗ ) 2 + u ∗ u h ∗ + ( u h ∗ ) 2 ) ) ( u ∗ − u h ∗ ) . \begin{aligned}
f - f_h
&= (\lambda^* - \lambda_h^*)u^* + \lambda_h^*(u^* - u_h^*) - V(u^* - u_h^*) - \beta((u^*)^3 - (u_h^*)^3) \\
&= (\lambda^* - \lambda_h^*)u^* + \left(\lambda_h^* - V - \beta\left((u^*)^2 + u^*u_h^* + (u_h^*)^2\right)\right)(u^* - u_h^*).
\end{aligned} f − f h = ( λ ∗ − λ h ∗ ) u ∗ + λ h ∗ ( u ∗ − u h ∗ ) − V ( u ∗ − u h ∗ ) − β (( u ∗ ) 3 − ( u h ∗ ) 3 ) = ( λ ∗ − λ h ∗ ) u ∗ + ( λ h ∗ − V − β ( ( u ∗ ) 2 + u ∗ u h ∗ + ( u h ∗ ) 2 ) ) ( u ∗ − u h ∗ ) .
By Theorem 3.6 , Lemma 3.7 , and ∥ u ∗ ∥ L 2 ( Ω ) = 1 \|u^*\|_{L^2(\Omega)} = 1 ∥ u ∗ ∥ L 2 ( Ω ) = 1 , we obtain
∥ f − f h ∥ L 2 ( Ω ) ≤ ∥ λ h ∗ − V − β ( ( u ∗ ) 2 + u ∗ u h ∗ + ( u h ∗ ) 2 ) ∥ L ∞ ( Ω ) × ∥ u ∗ − u h ∗ ∥ L 2 ( Ω ) + ∣ λ ∗ − λ h ∗ ∣ ≤ C h 2 , \|f - f_h\|_{L^2(\Omega)}
\le\left\|\lambda_h^* - V - \beta\left((u^*)^2 + u^*u_h^* + (u_h^*)^2\right)\right\|_{L^\infty(\Omega)}
\times\|u^* - u_h^*\|_{L^2(\Omega)} + |\lambda^* - \lambda_h^*| \le Ch^2, ∥ f − f h ∥ L 2 ( Ω ) ≤ λ h ∗ − V − β ( ( u ∗ ) 2 + u ∗ u h ∗ + ( u h ∗ ) 2 ) L ∞ ( Ω ) × ∥ u ∗ − u h ∗ ∥ L 2 ( Ω ) + ∣ λ ∗ − λ h ∗ ∣ ≤ C h 2 ,
which completes the proof. □
The error admits the decomposition
u h ∗ − u ∗ = ( u h ∗ − R h u ∗ ) + ( R h u ∗ − u ∗ ) = : θ h + ρ h . (18) u_h^* - u^* = (u_h^* - R_hu^*) + (R_hu^* - u^*) =: \theta_h + \rho_h. \tag*{(18)} u h ∗ − u ∗ = ( u h ∗ − R h u ∗ ) + ( R h u ∗ − u ∗ ) =: θ h + ρ h . (18)
By the definition of R h R_h R h and (17) , θ h ∈ V h 0 \theta_h \in V_h^0 θ h ∈ V h 0 satisfies
( ∇ θ h , ∇ v h ) L 2 ( Ω ) = ( f h − f , v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 . (\nabla\theta_h, \nabla v_h)_{L^2(\Omega)} = (f_h - f, v_h)_{L^2(\Omega)} \qquad\forall v_h \in V_h^0. ( ∇ θ h , ∇ v h ) L 2 ( Ω ) = ( f h − f , v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 .
Lemmas 2.8 and 3.8 then yield the following superconvergence result.
Lemma 3.9. There exists h 0 > 0 h_0 > 0 h 0 > 0 such that for all 0 < h ≤ h 0 0 < h \le h_0 0 < h ≤ h 0 ,
∥ ∇ θ h ∥ L 6 ( Ω ) ≤ C h 2 . \|\nabla\theta_h\|_{L^6(\Omega)} \le Ch^2. ∥∇ θ h ∥ L 6 ( Ω ) ≤ C h 2 .
Remark 3.10. For the linear finite element method, it is shown in [29 Theorem 2] that
∥ Π h u ∗ − u h ∗ ∥ H 1 ( Ω ) ≤ C h 2 , \|\Pi_hu^* - u_h^*\|_{H^1(\Omega)} \le Ch^2, ∥ Π h u ∗ − u h ∗ ∥ H 1 ( Ω ) ≤ C h 2 ,
where Π h \Pi_h Π h denotes the H 1 ( Ω ) H^1(\Omega) H 1 ( Ω ) -orthogonal projection onto V h 0 V_h^0 V h 0 . Lemma 3.9 provides an analogous estimate for the Ritz projection in the stronger W 1 , 6 ( Ω ) W^{1,6}(\Omega) W 1 , 6 ( Ω ) -norm, based on a different argument.
Combining Lemma 3.9 with the Sobolev embedding W 1 , 6 ( Ω ) ↪ L ∞ ( Ω ) W^{1,6}(\Omega) \hookrightarrow L^\infty(\Omega) W 1 , 6 ( Ω ) ↪ L ∞ ( Ω ) for d ≤ 3 d \le3 d ≤ 3 and the inverse inequality, one obtains the following estimates.
Lemma 3.11. There exists h 0 > 0 h_0 > 0 h 0 > 0 such that for all 0 < h ≤ h 0 0 < h \le h_0 0 < h ≤ h 0 ,
∥ θ h ∥ L ∞ ( Ω ) ≤ C h 2 , ∥ ∇ θ h ∥ L ∞ ( Ω ) ≤ C h 2 − d 6 . \|\theta_h\|_{L^\infty(\Omega)} \le Ch^2,\qquad\|\nabla\theta_h\|_{L^\infty(\Omega)} \le Ch^{2-\frac{d}{6}}. ∥ θ h ∥ L ∞ ( Ω ) ≤ C h 2 , ∥∇ θ h ∥ L ∞ ( Ω ) ≤ C h 2 − 6 d .
To establish convergence in L p ( Ω ) L^p(\Omega) L p ( Ω ) and W 1 , p ( Ω ) W^{1,p}(\Omega) W 1 , p ( Ω ) , particularly for p = ∞ p = \infty p = ∞ , additional regularity of u ∗ u^* u ∗ is required. Since V ∈ L ∞ ( Ω ) V \in L^\infty(\Omega) V ∈ L ∞ ( Ω ) and u ∗ ∈ H 2 ( Ω ) ↪ L ∞ ( Ω ) u^* \in H^2(\Omega) \hookrightarrow L^\infty(\Omega) u ∗ ∈ H 2 ( Ω ) ↪ L ∞ ( Ω ) for d ≤ 3 d \le3 d ≤ 3 , the right-hand side f f f of (17) belongs to L ∞ ( Ω ) L^\infty(\Omega) L ∞ ( Ω ) . Elliptic regularity [23 , 28 ] then yields u ∗ ∈ W 2 , p ( Ω ) ∩ H 0 1 ( Ω ) u^* \in W^{2,p}(\Omega) \cap H_0^1(\Omega) u ∗ ∈ W 2 , p ( Ω ) ∩ H 0 1 ( Ω ) for every 2 ≤ p < ∞ 2 \le p < \infty 2 ≤ p < ∞ . Combining Proposition 2.6 with Lemma 3.11, we arrive at the following result.
Theorem 3.12. For every 1 ≤ p < ∞ 1 \le p < \infty 1 ≤ p < ∞ , there exists h 0 > 0 h_0 > 0 h 0 > 0 such that for all 0 < h ≤ h 0 0 < h \le h_0 0 < h ≤ h 0 ,
∥ u ∗ − u h ∗ ∥ L p ( Ω ) + h ∥ ∇ ( u ∗ − u h ∗ ) ∥ L p ( Ω ) ≤ C p h 2 . \|u^* - u_h^*\|_{L^p(\Omega)} + h\|\nabla(u^* - u_h^*)\|_{L^p(\Omega)} \le C_ph^2. ∥ u ∗ − u h ∗ ∥ L p ( Ω ) + h ∥∇ ( u ∗ − u h ∗ ) ∥ L p ( Ω ) ≤ C p h 2 .
Proof. In view of (16) , it suffices to consider 2 < p < ∞ 2 < p < \infty 2 < p < ∞ . Since u ∗ ∈ W 2 , p ( Ω ) u^* \in W^{2,p}(\Omega) u ∗ ∈ W 2 , p ( Ω ) , Proposition 2.6 and Lemma 3.11 yield
∥ u ∗ − u h ∗ ∥ L p ( Ω ) ≤ ∥ θ h ∥ L p ( Ω ) + ∥ ρ h ∥ L p ( Ω ) ≤ C ∥ θ h ∥ L ∞ ( Ω ) + C p h 2 ≤ C p h 2 . \|u^* - u_h^*\|_{L^p(\Omega)} \le\|\theta_h\|_{L^p(\Omega)} + \|\rho_h\|_{L^p(\Omega)} \le C\|\theta_h\|_{L^\infty(\Omega)} + C_ph^2 \le C_ph^2. ∥ u ∗ − u h ∗ ∥ L p ( Ω ) ≤ ∥ θ h ∥ L p ( Ω ) + ∥ ρ h ∥ L p ( Ω ) ≤ C ∥ θ h ∥ L ∞ ( Ω ) + C p h 2 ≤ C p h 2 .
Similarly, using 2 − d 6 ≥ 1 2 - \frac{d}{6} \ge1 2 − 6 d ≥ 1 for d ≤ 3 d \le3 d ≤ 3 , we obtain
∥ ∇ ( u ∗ − u h ∗ ) ∥ L p ( Ω ) ≤ C ∥ ∇ θ h ∥ L ∞ ( Ω ) + ∥ ∇ ρ h ∥ L p ( Ω ) ≤ C h 2 − d 6 + C p h ≤ C p h , \|\nabla(u^* - u_h^*)\|_{L^p(\Omega)} \le C\|\nabla\theta_h\|_{L^\infty(\Omega)} + \|\nabla\rho_h\|_{L^p(\Omega)} \le Ch^{2-\frac{d}{6}} + C_ph \le C_ph, ∥∇ ( u ∗ − u h ∗ ) ∥ L p ( Ω ) ≤ C ∥∇ θ h ∥ L ∞ ( Ω ) + ∥∇ ρ h ∥ L p ( Ω ) ≤ C h 2 − 6 d + C p h ≤ C p h ,
which completes the proof.
Remark 3.13. The superconvergence result in [29 ] implies ∥ ∇ θ h ∥ L 2 ( Ω ) ≤ C h 2 \|\nabla\theta_h\|_{L^2(\Omega)} \le Ch^2 ∥∇ θ h ∥ L 2 ( Ω ) ≤ C h 2 . For d = 2 d = 2 d = 2 , the embedding H 0 1 ( Ω ) ↪ L p ( Ω ) H_0^1(\Omega) \hookrightarrow L^p(\Omega) H 0 1 ( Ω ) ↪ L p ( Ω ) for every 1 ≤ p < ∞ 1 \le p < \infty 1 ≤ p < ∞ and the inverse inequality then give
∥ θ h ∥ L p ( Ω ) ≤ C p ∥ ∇ θ h ∥ L 2 ( Ω ) ≤ C p h 2 , ∥ ∇ θ h ∥ L ∞ ( Ω ) ≤ C h − 1 ∥ ∇ θ h ∥ L 2 ( Ω ) ≤ C h . \|\theta_h\|_{L^p(\Omega)} \le C_p\|\nabla\theta_h\|_{L^2(\Omega)} \le C_ph^2,\qquad\|\nabla\theta_h\|_{L^\infty(\Omega)} \le Ch^{-1}\|\nabla\theta_h\|_{L^2(\Omega)} \le Ch. ∥ θ h ∥ L p ( Ω ) ≤ C p ∥∇ θ h ∥ L 2 ( Ω ) ≤ C p h 2 , ∥∇ θ h ∥ L ∞ ( Ω ) ≤ C h − 1 ∥∇ θ h ∥ L 2 ( Ω ) ≤ C h .
Combined with Proposition 2.6 , this recovers Theorem 3.12 for d = 2 d=2 d = 2 . For d = 3 d=3 d = 3 , however, this argument only applies to p ≤ 6 p\le6 p ≤ 6 , since H 0 1 ( Ω ) ↪ L p ( Ω ) H^1_0(\Omega)\hookrightarrow L^p(\Omega) H 0 1 ( Ω ) ↪ L p ( Ω ) holds only for p ≤ 6 p\le6 p ≤ 6 and the inverse inequality yields ∥ ∇ θ h ∥ L p ( Ω ) ≤ C h 1 2 + 3 p \|\nabla\theta_h\|_{L^p(\Omega)}\le Ch^{\frac{1}{2}+\frac{3}{p}} ∥∇ θ h ∥ L p ( Ω ) ≤ C h 2 1 + p 3 , which is suboptimal for p > 6 p>6 p > 6 .
To establish convergence in L ∞ ( Ω ) L^\infty(\Omega) L ∞ ( Ω ) and W 1 , ∞ ( Ω ) W^{1,\infty}(\Omega) W 1 , ∞ ( Ω ) , we need the W 2 , ∞ ( Ω ) W^{2,\infty}(\Omega) W 2 , ∞ ( Ω ) -regularity of u ∗ u^* u ∗ . Since u ∗ ∈ H 2 ( Ω ) ↪ C ( Ω ‾ ) u^*\in H^2(\Omega)\hookrightarrow C(\overline{\Omega}) u ∗ ∈ H 2 ( Ω ) ↪ C ( Ω ) and u ∗ u^* u ∗ vanishes on ∂ Ω \partial\Omega ∂ Ω , the right-hand side f f f of (17) vanishes on ∂ Ω \partial\Omega ∂ Ω , in particular at the corners (and, for d = 3 d=3 d = 3 , along the edges) of Ω \Omega Ω . This compatibility condition, combined with additional regularity of V V V , excludes the corner singularities and leads to the following higher regularity result; see [23 , 28 , 32 ] .
Proposition 3.14. Assume, in addition, that V ∈ C 0 , α ( Ω ‾ ) V\in C^{0,\alpha}(\overline{\Omega}) V ∈ C 0 , α ( Ω ) for some α ∈ ( 0 , 1 ) \alpha\in(0,1) α ∈ ( 0 , 1 ) . Then u ∗ ∈ W 2 , ∞ ( Ω ) u^*\in W^{2,\infty}(\Omega) u ∗ ∈ W 2 , ∞ ( Ω ) .
Proceeding as in the proof of Theorem 3.12 , we obtain the following result.
Theorem 3.15. Assume that V ∈ C 0 , α ( Ω ‾ ) V\in C^{0,\alpha}(\overline{\Omega}) V ∈ C 0 , α ( Ω ) for some α ∈ ( 0 , 1 ) \alpha\in(0,1) α ∈ ( 0 , 1 ) . Then there exists h 0 > 0 h_0>0 h 0 > 0 such that for all 0 < h ≤ h 0 0<h\le h_0 0 < h ≤ h 0 ,
∥ u ∗ − u h ∗ ∥ L ∞ ( Ω ) ≤ C h 2 ∣ ln h ∣ , ∥ ∇ ( u ∗ − u h ∗ ) ∥ L ∞ ( Ω ) ≤ C h . \|u^*-u_h^*\|_{L^\infty(\Omega)}\le Ch^2|\ln h|,\qquad\|\nabla(u^*-u_h^*)\|_{L^\infty(\Omega)}\le Ch. ∥ u ∗ − u h ∗ ∥ L ∞ ( Ω ) ≤ C h 2 ∣ ln h ∣ , ∥∇ ( u ∗ − u h ∗ ) ∥ L ∞ ( Ω ) ≤ C h .
Superconvergence
Lemma 3.9 shows that θ h \theta_h θ h superconverges in W 1 , p ( Ω ) W^{1,p}(\Omega) W 1 , p ( Ω ) for 1 ≤ p ≤ 6 1\le p\le6 1 ≤ p ≤ 6 . With the help of Theorem 3.12 , this result can be extended to 1 ≤ p ≤ ∞ 1\le p\le\infty 1 ≤ p ≤ ∞ .
Theorem 3.16. For every 1 ≤ p ≤ ∞ 1\le p\le\infty 1 ≤ p ≤ ∞ , there exists h 0 > 0 h_0>0 h 0 > 0 such that for all 0 < h ≤ h 0 0<h\le h_0 0 < h ≤ h 0 ,
∥ ∇ ( R h u ∗ − u h ∗ ) ∥ L p ( Ω ) ≤ C p h 2 . \|\nabla(R_hu^*-u_h^*)\|_{L^p(\Omega)}\le C_ph^2. ∥∇ ( R h u ∗ − u h ∗ ) ∥ L p ( Ω ) ≤ C p h 2 .
Proof. It suffices to consider p = ∞ p=\infty p = ∞ . The argument of Lemma 3.8 , combined with the L 4 L^4 L 4 -estimate in Theorem 3.12 , yields
∥ f − f h ∥ L 4 ( Ω ) ≤ C h 2 . \|f-f_h\|_{L^4(\Omega)}\le Ch^2. ∥ f − f h ∥ L 4 ( Ω ) ≤ C h 2 .
Let w ∈ H 0 1 ( Ω ) w\in H^1_0(\Omega) w ∈ H 0 1 ( Ω ) be the solution of − Δ w = f h − f -\Delta w=f_h-f − Δ w = f h − f . By elliptic regularity, w ∈ W 2 , 4 ( Ω ) w\in W^{2,4}(\Omega) w ∈ W 2 , 4 ( Ω ) with ∥ w ∥ W 2 , 4 ( Ω ) ≤ C ∥ f − f h ∥ L 4 ( Ω ) \|w\|_{W^{2,4}(\Omega)}\le C\|f-f_h\|_{L^4(\Omega)} ∥ w ∥ W 2 , 4 ( Ω ) ≤ C ∥ f − f h ∥ L 4 ( Ω ) . Moreover, θ h = R h w \theta_h=R_hw θ h = R h w by the definitions of θ h \theta_h θ h and R h R_h R h . Hence, Proposition 2.5 and the Sobolev embedding W 2 , 4 ( Ω ) ↪ W 1 , ∞ ( Ω ) W^{2,4}(\Omega)\hookrightarrow W^{1,\infty}(\Omega) W 2 , 4 ( Ω ) ↪ W 1 , ∞ ( Ω ) for d ≤ 3 d\le3 d ≤ 3 yield
∥ ∇ θ h ∥ L ∞ ( Ω ) ≤ C ∥ ∇ w ∥ L ∞ ( Ω ) ≤ C ∥ w ∥ W 2 , 4 ( Ω ) ≤ C ∥ f − f h ∥ L 4 ( Ω ) ≤ C h 2 , \|\nabla\theta_h\|_{L^\infty(\Omega)}\le C\|\nabla w\|_{L^\infty(\Omega)}\le C\|w\|_{W^{2,4}(\Omega)}\le C\|f-f_h\|_{L^4(\Omega)}\le Ch^2, ∥∇ θ h ∥ L ∞ ( Ω ) ≤ C ∥∇ w ∥ L ∞ ( Ω ) ≤ C ∥ w ∥ W 2 , 4 ( Ω ) ≤ C ∥ f − f h ∥ L 4 ( Ω ) ≤ C h 2 ,
which completes the proof.
The mass-lumped finite element method
The mass-lumped FEM differs from the standard FEM in that the L 2 L^2 L 2 inner product is replaced by a discrete one, obtained by applying the vertex quadrature rule elementwise. More precisely, for an element K ∈ T h K\in\mathcal{T}_h K ∈ T h with vertices N K = { x K , i } i = 0 d N_K=\{x_{K,i}\}_{i=0}^d N K = { x K , i } i = 0 d , the integral of ϕ ∈ C ( K ‾ ) \phi\in C(\overline{K}) ϕ ∈ C ( K ) over K K K is approximated by
Q K ( ϕ ) : = ∣ K ∣ d + 1 ∑ i = 0 d ϕ ( x K , i ) . Q_K(\phi):=\frac{|K|}{d+1}\sum_{i=0}^d\phi(x_{K,i}). Q K ( ϕ ) := d + 1 ∣ K ∣ i = 0 ∑ d ϕ ( x K , i ) .
This quadrature rule is exact for affine functions on K K K . Accordingly, for ϕ , ψ ∈ C ( K ‾ ) \phi,\psi\in C(\overline{K}) ϕ , ψ ∈ C ( K ) , we define
( ϕ , ψ ) ℓ 2 , K : = Q K ( ϕ ψ ) = ∣ K ∣ d + 1 ∑ i = 0 d ϕ ( x K , i ) ψ ( x K , i ) . (\phi,\psi)_{\ell^2,K}:=Q_K(\phi\psi)=\frac{|K|}{d+1}\sum_{i=0}^d\phi(x_{K,i})\psi(x_{K,i}). ( ϕ , ψ ) ℓ 2 , K := Q K ( ϕ ψ ) = d + 1 ∣ K ∣ i = 0 ∑ d ϕ ( x K , i ) ψ ( x K , i ) .
This leads to the global discrete L 2 L^2 L 2 inner product and discrete L 2 L^2 L 2 norm
( ϕ , ψ ) ℓ 2 : = ∑ K ∈ T h ( ϕ , ψ ) ℓ 2 , K = ∑ z ∈ N h ω z ϕ ( z ) ψ ( z ) , ∥ ϕ ∥ ℓ 2 2 : = ( ϕ , ϕ ) ℓ 2 , (\phi,\psi)_{\ell^2}:=\sum_{K\in\mathcal{T}_h}(\phi,\psi)_{\ell^2,K}=\sum_{z\in\mathcal{N}_h}\omega_z\phi(z)\psi(z),\qquad\|\phi\|_{\ell^2}^2:=(\phi,\phi)_{\ell^2}, ( ϕ , ψ ) ℓ 2 := K ∈ T h ∑ ( ϕ , ψ ) ℓ 2 , K = z ∈ N h ∑ ω z ϕ ( z ) ψ ( z ) , ∥ ϕ ∥ ℓ 2 2 := ( ϕ , ϕ ) ℓ 2 ,
where ω z : = 1 d + 1 ∑ K ∈ T h , z ∈ N K ∣ K ∣ \omega_z:=\frac{1}{d+1}\sum_{\substack{K\in\mathcal{T}_h,\,z\in\mathcal{N}_K}}|K| ω z := d + 1 1 ∑ K ∈ T h , z ∈ N K ∣ K ∣ .
Throughout this section, we additionally assume that V ∈ W 2 , ∞ ( Ω ) V\in W^{2,\infty}(\Omega) V ∈ W 2 , ∞ ( Ω ) . For v h ∈ V h 0 v_h\in V_h^0 v h ∈ V h 0 , the discrete energy of the mass-lumped FEM is defined as
E h ( v h ) : = 1 2 ∥ ∇ v h ∥ L 2 ( Ω ) 2 + 1 2 ( V v h , v h ) ℓ 2 + β 4 ( v h 2 , v h 2 ) ℓ 2 . E_h(v_h):=\frac{1}{2}\|\nabla v_h\|_{L^2(\Omega)}^2+\frac{1}{2}(Vv_h,v_h)_{\ell^2}+\frac{\beta}{4}(v_h^2,v_h^2)_{\ell^2}. E h ( v h ) := 2 1 ∥∇ v h ∥ L 2 ( Ω ) 2 + 2 1 ( V v h , v h ) ℓ 2 + 4 β ( v h 2 , v h 2 ) ℓ 2 .
The discrete ground state of the mass-lumped FEM is then defined as
u h ∗ , ℓ ∈ arg min v h ∈ V h 0 , ∥ v h ∥ ℓ 2 = 1 E h ( v h ) with ( u h ∗ , ℓ , u ∗ ) L 2 ( Ω ) ≥ 0. (19) u_h^{*,\ell}\in\underset{v_h\in V_h^0,\,\|v_h\|_{\ell^2}=1}{\arg\min}\ E_h(v_h)\quad\text{with}\quad(u_h^{*,\ell},u^*)_{L^2(\Omega)}\geq0. \tag*{(19)} u h ∗ , ℓ ∈ v h ∈ V h 0 , ∥ v h ∥ ℓ 2 = 1 arg min E h ( v h ) with ( u h ∗ , ℓ , u ∗ ) L 2 ( Ω ) ≥ 0. (19)
It satisfies the discrete Euler–Lagrange equation
( ∇ u h ∗ , ℓ , ∇ v h ) L 2 ( Ω ) + ( V u h ∗ , ℓ , v h ) ℓ 2 + β ( ( u h ∗ , ℓ ) 3 , v h ) ℓ 2 = λ h ∗ , ℓ ( u h ∗ , ℓ , v h ) ℓ 2 ∀ v h ∈ V h 0 , (20) (\nabla u_h^{*,\ell},\nabla v_h)_{L^2(\Omega)}+(Vu_h^{*,\ell},v_h)_{\ell^2}+\beta((u_h^{*,\ell})^3,v_h)_{\ell^2}=\lambda_h^{*,\ell}(u_h^{*,\ell},v_h)_{\ell^2}\qquad\forall\,v_h\in V_h^0, \tag*{(20)} ( ∇ u h ∗ , ℓ , ∇ v h ) L 2 ( Ω ) + ( V u h ∗ , ℓ , v h ) ℓ 2 + β (( u h ∗ , ℓ ) 3 , v h ) ℓ 2 = λ h ∗ , ℓ ( u h ∗ , ℓ , v h ) ℓ 2 ∀ v h ∈ V h 0 , (20)
where λ h ∗ , ℓ : = 2 E h ( u h ∗ , ℓ ) + β 2 ( ( u h ∗ , ℓ ) 2 , ( u h ∗ , ℓ ) 2 ) ℓ 2 \lambda_h^{*,\ell}:=2E_h(u_h^{*,\ell})+\frac{\beta}{2}((u_h^{*,\ell})^2,(u_h^{*,\ell})^2)_{\ell^2} λ h ∗ , ℓ := 2 E h ( u h ∗ , ℓ ) + 2 β (( u h ∗ , ℓ ) 2 , ( u h ∗ , ℓ ) 2 ) ℓ 2 is the associated Lagrange multiplier. The following result is established in [30 ] .
Proposition 4.1. Assume that the stiffness matrix associated with V h 0 V_h^0 V h 0 is an irreducible M M M -matrix. Then the discrete ground state u h ∗ , ℓ u_h^{*,\ell} u h ∗ , ℓ is unique and positive in Ω \Omega Ω . Moreover, there exists h 0 > 0 h_0>0 h 0 > 0 such that for all 0 < h ≤ h 0 0<h\leq h_0 0 < h ≤ h 0 ,
∣ λ ∗ − λ h ∗ , ℓ ∣ + ∥ u h ∗ , ℓ − u ∗ ∥ L 2 ( Ω ) + h ∥ ∇ ( u h ∗ , ℓ − u ∗ ) ∥ L 2 ( Ω ) ≤ C h 2 |\lambda^*-\lambda_h^{*,\ell}|+\|u_h^{*,\ell}-u^*\|_{L^2(\Omega)}+h\|\nabla(u_h^{*,\ell}-u^*)\|_{L^2(\Omega)}\leq Ch^2 ∣ λ ∗ − λ h ∗ , ℓ ∣ + ∥ u h ∗ , ℓ − u ∗ ∥ L 2 ( Ω ) + h ∥∇ ( u h ∗ , ℓ − u ∗ ) ∥ L 2 ( Ω ) ≤ C h 2 and
∥ u h ∗ , ℓ ∥ L ∞ ( Ω ) + ∣ λ h ∗ , ℓ ∣ ≤ C . \|u_h^{*,\ell}\|_{L^\infty(\Omega)}+|\lambda_h^{*,\ell}|\leq C. ∥ u h ∗ , ℓ ∥ L ∞ ( Ω ) + ∣ λ h ∗ , ℓ ∣ ≤ C .
Some technical results
For an element K ∈ T h K\in\mathcal{T}_h K ∈ T h , let φ K , 0 , … , φ K , d \varphi_{K,0},\ldots,\varphi_{K,d} φ K , 0 , … , φ K , d denote the barycentric coordinates of K K K , i.e., the affine functions on K K K satisfying φ K , i ( x K , j ) = δ i j \varphi_{K,i}(x_{K,j})=\delta_{ij} φ K , i ( x K , j ) = δ ij . Then
∫ K φ K , i φ K , j d x = ∣ K ∣ ( d + 1 ) ( d + 2 ) ( 1 + δ i j ) , i , j = 0 , … , d . \int_K\varphi_{K,i}\varphi_{K,j}\,\mathrm{d}x=\frac{|K|}{(d+1)(d+2)}(1+\delta_{ij}),\qquad i,j=0,\ldots,d. ∫ K φ K , i φ K , j d x = ( d + 1 ) ( d + 2 ) ∣ K ∣ ( 1 + δ ij ) , i , j = 0 , … , d .
Moreover, for 1 ≤ q < ∞ 1\leq q<\infty 1 ≤ q < ∞ , we define the discrete norms on V h V_h V h by
∥ v h ∥ ℓ q : = ( ∑ z ∈ N h ω z ∣ v h ( z ) ∣ q ) 1 q , v h ∈ V h . \|v_h\|_{\ell^q}:=\left(\sum_{z\in\mathcal{N}_h}\omega_z|v_h(z)|^q\right)^{\frac{1}{q}},\qquad v_h\in V_h. ∥ v h ∥ ℓ q := ( z ∈ N h ∑ ω z ∣ v h ( z ) ∣ q ) q 1 , v h ∈ V h .
Lemma 4.2. Let 1 ≤ q < ∞ 1\leq q<\infty 1 ≤ q < ∞ . There exist constants 0 < c q ≤ C q 0<c_q\leq C_q 0 < c q ≤ C q such that for all v h ∈ V h v_h\in V_h v h ∈ V h ,
c q ∥ v h ∥ L q ( Ω ) ≤ ∥ v h ∥ ℓ q ≤ C q ∥ v h ∥ L q ( Ω ) . c_q\|v_h\|_{L^q(\Omega)}\leq\|v_h\|_{\ell^q}\leq C_q\|v_h\|_{L^q(\Omega)}. c q ∥ v h ∥ L q ( Ω ) ≤ ∥ v h ∥ ℓ q ≤ C q ∥ v h ∥ L q ( Ω ) . In particular, for q = 2 q=2 q = 2 ,
∥ v h ∥ L 2 ( Ω ) 2 ≤ ∥ v h ∥ ℓ 2 2 ≤ ( d + 2 ) ∥ v h ∥ L 2 ( Ω ) 2 . \|v_h\|_{L^2(\Omega)}^2\leq\|v_h\|_{\ell^2}^2\leq(d+2)\|v_h\|_{L^2(\Omega)}^2. ∥ v h ∥ L 2 ( Ω ) 2 ≤ ∥ v h ∥ ℓ 2 2 ≤ ( d + 2 ) ∥ v h ∥ L 2 ( Ω ) 2 .
Proof. The general case follows from the equivalence of norms on finite-dimensional spaces and a standard scaling argument. It remains to derive the explicit constants for q = 2 q=2 q = 2 . Fix v h ∈ V h v_h \in V_h v h ∈ V h and K ∈ T h K \in\mathcal{T}_h K ∈ T h , and write v h ∣ K = ∑ i = 0 d v i φ K , i v_h|_K=\sum_{i=0}^{d}v_i\varphi_{K,i} v h ∣ K = ∑ i = 0 d v i φ K , i with v i : = v h ( x K , i ) v_i:=v_h(x_{K,i}) v i := v h ( x K , i ) . Then
∥ v h ∥ L 2 ( K ) 2 = ∣ K ∣ ( d + 1 ) ( d + 2 ) [ ( ∑ i = 0 d v i ) 2 + ∑ i = 0 d v i 2 ] , Q K ( v h 2 ) = ∣ K ∣ d + 1 ∑ i = 0 d v i 2 . \|v_h\|_{L^2(K)}^2=\frac{|K|}{(d+1)(d+2)}\left[\left(\sum_{i=0}^{d}v_i\right)^2+\sum_{i=0}^{d}v_i^2\right],\qquad Q_K(v_h^2)=\frac{|K|}{d+1}\sum_{i=0}^{d}v_i^2. ∥ v h ∥ L 2 ( K ) 2 = ( d + 1 ) ( d + 2 ) ∣ K ∣ ( i = 0 ∑ d v i ) 2 + i = 0 ∑ d v i 2 , Q K ( v h 2 ) = d + 1 ∣ K ∣ i = 0 ∑ d v i 2 .
Since 0 ≤ ( ∑ i = 0 d v i ) 2 ≤ ( d + 1 ) ∑ i = 0 d v i 2 0\leq\left(\sum_{i=0}^{d}v_i\right)^2\leq(d+1)\sum_{i=0}^{d}v_i^2 0 ≤ ( ∑ i = 0 d v i ) 2 ≤ ( d + 1 ) ∑ i = 0 d v i 2 by the Cauchy–Schwarz inequality, it follows that
∥ v h ∥ L 2 ( K ) 2 ≤ Q K ( v h 2 ) ≤ ( d + 2 ) ∥ v h ∥ L 2 ( K ) 2 . \|v_h\|_{L^2(K)}^2\leq Q_K(v_h^2)\leq(d+2)\|v_h\|_{L^2(K)}^2. ∥ v h ∥ L 2 ( K ) 2 ≤ Q K ( v h 2 ) ≤ ( d + 2 ) ∥ v h ∥ L 2 ( K ) 2 .
Summing over all K ∈ T h K\in\mathcal{T}_h K ∈ T h yields the assertion for q = 2 q=2 q = 2 .
For K ∈ T h K\in\mathcal{T}_h K ∈ T h , define the symmetric matrix
D K : = 1 ( d + 1 ) ( d + 2 ) ∑ 0 ≤ i < j ≤ d ( x K , i − x K , j ) ( x K , i − x K , j ) T ∈ R d × d . D_K:=\frac{1}{(d+1)(d+2)}\sum_{0\leq i<j\leq d}(x_{K,i}-x_{K,j})(x_{K,i}-x_{K,j})^{T}\in\mathbb{R}^{d\times d}. D K := ( d + 1 ) ( d + 2 ) 1 0 ≤ i < j ≤ d ∑ ( x K , i − x K , j ) ( x K , i − x K , j ) T ∈ R d × d .
Lemma 4.3. Let K ∈ T h K\in\mathcal{T}_h K ∈ T h and v h , w h ∈ P 1 ( K ) v_h,w_h\in\mathbb{P}_1(K) v h , w h ∈ P 1 ( K ) , and set v i : = v h ( x K , i ) v_i:=v_h(x_{K,i}) v i := v h ( x K , i ) and w i : = w h ( x K , i ) w_i:=w_h(x_{K,i}) w i := w h ( x K , i ) for i = 0 , … , d i=0,\ldots,d i = 0 , … , d . Then
Q K ( v h w h ) − ∫ K v h w h d x = ∣ K ∣ ( d + 1 ) ( d + 2 ) ∑ 0 ≤ i < j ≤ d ( v i − v j ) ( w i − w j ) = ∫ K ( D K ∇ v h ) ⋅ ∇ w h d x . (21) Q_K(v_hw_h)-\int_K v_hw_h\,\mathrm{d}x=\frac{|K|}{(d+1)(d+2)}\sum_{0\leq i<j\leq d}(v_i-v_j)(w_i-w_j)
=\int_K(D_K\nabla v_h)\cdot\nabla w_h\,\mathrm{d}x. \tag*{(21)} Q K ( v h w h ) − ∫ K v h w h d x = ( d + 1 ) ( d + 2 ) ∣ K ∣ 0 ≤ i < j ≤ d ∑ ( v i − v j ) ( w i − w j ) = ∫ K ( D K ∇ v h ) ⋅ ∇ w h d x . (21) Moreover, D K D_K D K is positive semidefinite and satisfies
0 ≤ ξ T D K ξ ≤ d 2 ( d + 2 ) h K 2 ∣ ξ ∣ 2 ∀ ξ ∈ R d . 0\leq\xi^{T}D_K\xi\leq\frac{d}{2(d+2)}h_K^2|\xi|^2\qquad\forall\,\xi\in\mathbb{R}^{d}. 0 ≤ ξ T D K ξ ≤ 2 ( d + 2 ) d h K 2 ∣ ξ ∣ 2 ∀ ξ ∈ R d .
Proof. Since v h ∣ K = ∑ i = 0 d v i φ K , i v_h|_K=\sum_{i=0}^{d}v_i\varphi_{K,i} v h ∣ K = ∑ i = 0 d v i φ K , i and w h ∣ K = ∑ j = 0 d w j φ K , j w_h|_K=\sum_{j=0}^{d}w_j\varphi_{K,j} w h ∣ K = ∑ j = 0 d w j φ K , j , the integration formula for ∫ K φ K , i φ K , j d x \int_K\varphi_{K,i}\varphi_{K,j}\,\mathrm{d}x ∫ K φ K , i φ K , j d x gives
∫ K v h w h d x = ∣ K ∣ ( d + 1 ) ( d + 2 ) ∑ i , j = 0 d v i w j ( 1 + δ i j ) = ∣ K ∣ ( d + 1 ) ( d + 2 ) [ ∑ i , j = 0 d v i w j + ∑ i = 0 d v i w i ] . \begin{aligned}
\int_Kv_hw_h\,\mathrm{d}x=\frac{|K|}{(d+1)(d+2)}\sum_{i,j=0}^{d}v_iw_j(1+\delta_{ij}) \\
&=\frac{|K|}{(d+1)(d+2)}\left[\sum_{i,j=0}^{d}v_iw_j+\sum_{i=0}^{d}v_iw_i\right].
\end{aligned} ∫ K v h w h d x = ( d + 1 ) ( d + 2 ) ∣ K ∣ i , j = 0 ∑ d v i w j ( 1 + δ ij ) = ( d + 1 ) ( d + 2 ) ∣ K ∣ [ i , j = 0 ∑ d v i w j + i = 0 ∑ d v i w i ] .
Together with Q K ( v h w h ) = ∣ K ∣ d + 1 ∑ i = 0 d v i w i Q_K(v_hw_h)=\frac{|K|}{d+1}\sum_{i=0}^{d}v_iw_i Q K ( v h w h ) = d + 1 ∣ K ∣ ∑ i = 0 d v i w i , this yields
Q K ( v h w h ) − ∫ K v h w h d x = ∣ K ∣ ( d + 1 ) ( d + 2 ) [ ( d + 1 ) ∑ i = 0 d v i w i − ∑ i , j = 0 d v i w j ] . Q_K(v_hw_h)-\int_Kv_hw_h\,\mathrm{d}x=\frac{|K|}{(d+1)(d+2)}\left[(d+1)\sum_{i=0}^{d}v_iw_i-\sum_{i,j=0}^{d}v_iw_j\right]. Q K ( v h w h ) − ∫ K v h w h d x = ( d + 1 ) ( d + 2 ) ∣ K ∣ [ ( d + 1 ) i = 0 ∑ d v i w i − i , j = 0 ∑ d v i w j ] .
On the other hand, a direct computation shows that
∑ 0 ≤ i < j ≤ d ( v i − v j ) ( w i − w j ) = 1 2 ∑ i , j = 0 d ( v i − v j ) ( w i − w j ) = ( d + 1 ) ∑ i = 0 d v i w i − ∑ i , j = 0 d v i w j . \sum_{0\leq i<j\leq d}(v_i-v_j)(w_i-w_j)=\frac{1}{2}\sum_{i,j=0}^{d}(v_i-v_j)(w_i-w_j)=(d+1)\sum_{i=0}^{d}v_iw_i-\sum_{i,j=0}^{d}v_iw_j. 0 ≤ i < j ≤ d ∑ ( v i − v j ) ( w i − w j ) = 2 1 i , j = 0 ∑ d ( v i − v j ) ( w i − w j ) = ( d + 1 ) i = 0 ∑ d v i w i − i , j = 0 ∑ d v i w j .
Since v h , w h ∈ P 1 ( K ) v_h,w_h\in P_1(K) v h , w h ∈ P 1 ( K ) , their gradients are constant on K K K , and
v i − v j = ( x K , i − x K , j ) T ∇ v h , w i − w j = ( x K , i − x K , j ) T ∇ w h . v_i-v_j=(x_{K,i}-x_{K,j})^T\nabla v_h,\qquad w_i-w_j=(x_{K,i}-x_{K,j})^T\nabla w_h. v i − v j = ( x K , i − x K , j ) T ∇ v h , w i − w j = ( x K , i − x K , j ) T ∇ w h .
Hence,
∑ 0 ≤ i < j ≤ d ( v i − v j ) ( w i − w j ) = ∑ 0 ≤ i < j ≤ d ( ∇ v h ) T ( x K , i − x K , j ) ( x K , i − x K , j ) T ∇ w h = ( d + 1 ) ( d + 2 ) ( ∇ v h ) T D K ∇ w h . \begin{aligned}
\sum_{0\leq i<j\leq d}(v_i-v_j)(w_i-w_j)=\sum_{0\leq i<j\leq d}(\nabla v_h)^T(x_{K,i}-x_{K,j})(x_{K,i}-x_{K,j})^T\nabla w_h \\
&=(d+1)(d+2)(\nabla v_h)^T D_K\nabla w_h.
\end{aligned} 0 ≤ i < j ≤ d ∑ ( v i − v j ) ( w i − w j ) = 0 ≤ i < j ≤ d ∑ ( ∇ v h ) T ( x K , i − x K , j ) ( x K , i − x K , j ) T ∇ w h = ( d + 1 ) ( d + 2 ) ( ∇ v h ) T D K ∇ w h .
Multiplying by ∣ K ∣ ( d + 1 ) ( d + 2 ) \frac{|K|}{(d+1)(d+2)} ( d + 1 ) ( d + 2 ) ∣ K ∣ and using that ∇ v h \nabla v_h ∇ v h and ∇ w h \nabla w_h ∇ w h are constant on K K K , we obtain
Q K ( v h w h ) − ∫ K v h w h d x = ∣ K ∣ ( ∇ v h ) T D K ∇ w h = ∫ K ( D K ∇ v h ) ⋅ ∇ w h d x . Q_K(v_hw_h)-\int_Kv_hw_h\,\mathrm{d}x=|K|(\nabla v_h)^TD_K\nabla w_h=\int_K(D_K\nabla v_h)\cdot\nabla w_h\,\mathrm{d}x. Q K ( v h w h ) − ∫ K v h w h d x = ∣ K ∣ ( ∇ v h ) T D K ∇ w h = ∫ K ( D K ∇ v h ) ⋅ ∇ w h d x .
Finally, for any ξ ∈ R d \xi\in\mathbb{R}^d ξ ∈ R d , the definition of D K D_K D K gives
ξ T D K ξ = 1 ( d + 1 ) ( d + 2 ) ∑ 0 ≤ i < j ≤ d ( ξ ⋅ ( x K , i − x K , j ) ) 2 . \xi^TD_K\xi=\frac{1}{(d+1)(d+2)}\sum_{0\leq i<j\leq d}\left(\xi\cdot(x_{K,i}-x_{K,j})\right)^2. ξ T D K ξ = ( d + 1 ) ( d + 2 ) 1 0 ≤ i < j ≤ d ∑ ( ξ ⋅ ( x K , i − x K , j ) ) 2 .
Since ∣ x K , i − x K , j ∣ ≤ h K \lvert x_{K,i}-x_{K,j}\rvert\leq h_K ∣ x K , i − x K , j ∣ ≤ h K and there are d ( d + 1 ) 2 \frac{d(d+1)}{2} 2 d ( d + 1 ) pairs ( i , j ) (i,j) ( i , j ) with 0 ≤ i < j ≤ d 0\leq i<j\leq d 0 ≤ i < j ≤ d , it follows that
0 ≤ ξ T D K ξ ≤ 1 ( d + 1 ) ( d + 2 ) ⋅ d ( d + 1 ) 2 h K 2 ∣ ξ ∣ 2 = d 2 ( d + 2 ) h K 2 ∣ ξ ∣ 2 , 0\leq\xi^TD_K\xi\leq\frac{1}{(d+1)(d+2)}\cdot\frac{d(d+1)}{2}h_K^2\lvert\xi\rvert^2=\frac{d}{2(d+2)}h_K^2\lvert\xi\rvert^2, 0 ≤ ξ T D K ξ ≤ ( d + 1 ) ( d + 2 ) 1 ⋅ 2 d ( d + 1 ) h K 2 ∣ ξ ∣ 2 = 2 ( d + 2 ) d h K 2 ∣ ξ ∣ 2 ,
which completes the proof. □ \square □
L p L^p L p and W 1 , p W^{1,p} W 1 , p convergence
Recall from (17) that − Δ u ∗ = f -\Delta u^*=f − Δ u ∗ = f with f = λ ∗ u ∗ − V u ∗ − β ( u ∗ ) 3 f=\lambda^*u^*-Vu^*-\beta(u^*)^3 f = λ ∗ u ∗ − V u ∗ − β ( u ∗ ) 3 . Analogously, by (20) , the discrete ground state u h ∗ , ℓ u_h^{*,\ell} u h ∗ , ℓ satisfies
( ∇ u h ∗ , ℓ , ∇ v h ) L 2 ( Ω ) = ( f h ℓ , v h ) ℓ 2 ∀ v h ∈ V h 0 , (\nabla u_h^{*,\ell},\nabla v_h)_{L^2(\Omega)}=(f_h^\ell,v_h)_{\ell^2}\qquad\forall v_h\in V_h^0, ( ∇ u h ∗ , ℓ , ∇ v h ) L 2 ( Ω ) = ( f h ℓ , v h ) ℓ 2 ∀ v h ∈ V h 0 ,
where f h ℓ : = λ h ∗ , ℓ u h ∗ , ℓ − V u h ∗ , ℓ − β ( u h ∗ , ℓ ) 3 f_h^\ell:=\lambda_h^{*,\ell}u_h^{*,\ell}-Vu_h^{*,\ell}-\beta(u_h^{*,\ell})^3 f h ℓ := λ h ∗ , ℓ u h ∗ , ℓ − V u h ∗ , ℓ − β ( u h ∗ , ℓ ) 3 . Let δ h : = I h f h ℓ − I h f ∈ V h \delta_h:=I_hf_h^\ell-I_hf\in V_h δ h := I h f h ℓ − I h f ∈ V h .
Lemma 4.4. There exists h 0 > 0 h_0>0 h 0 > 0 such that for all 0 < h ≤ h 0 0<h\leq h_0 0 < h ≤ h 0 ,
∥ δ h ∥ L 2 ( Ω ) ≤ C h 2 . \|\delta_h\|_{L^2(\Omega)}\leq Ch^2. ∥ δ h ∥ L 2 ( Ω ) ≤ C h 2 .
Proof. By Lemma 4.2 , we have ∥ δ h ∥ L 2 ( Ω ) ≤ ∥ δ h ∥ ℓ 2 \|\delta_h\|_{L^2(\Omega)}\leq\|\delta_h\|_{\ell^2} ∥ δ h ∥ L 2 ( Ω ) ≤ ∥ δ h ∥ ℓ 2 . Since δ h \delta_h δ h and f h ℓ − f f_h^\ell-f f h ℓ − f coincide at all nodes,
∥ δ h ∥ ℓ 2 = ∥ f h ℓ − f ∥ ℓ 2 . \|\delta_h\|_{\ell^2}=\|f_h^\ell-f\|_{\ell^2}. ∥ δ h ∥ ℓ 2 = ∥ f h ℓ − f ∥ ℓ 2 .
Here, ∥ ⋅ ∥ ℓ 2 \|\cdot\|_{\ell^2} ∥ ⋅ ∥ ℓ 2 is extended to C ( Ω ‾ ) C(\overline{\Omega}) C ( Ω ) by the same formula, and the triangle inequality still holds. Using ∥ u h ∗ , ℓ ∥ ℓ 2 = 1 \|u_h^{*,\ell}\|_{\ell^2}=1 ∥ u h ∗ , ℓ ∥ ℓ 2 = 1 and Proposition 4.1 , we obtain
∥ f h ℓ − f ∥ ℓ 2 ≤ ∥ λ ∗ ( u ∗ − u h ∗ , ℓ ) ∥ ℓ 2 + ∣ λ ∗ − λ h ∗ , ℓ ∣ ∥ u h ∗ , ℓ ∥ ℓ 2 + ∥ V ( u ∗ − u h ∗ , ℓ ) ∥ ℓ 2 \|f_h^\ell-f\|_{\ell^2}\leq\|\lambda^*(u^*-u_h^{*,\ell})\|_{\ell^2}+|\lambda^*-\lambda_h^{*,\ell}|\|u_h^{*,\ell}\|_{\ell^2}+\|V(u^*-u_h^{*,\ell})\|_{\ell^2} ∥ f h ℓ − f ∥ ℓ 2 ≤ ∥ λ ∗ ( u ∗ − u h ∗ , ℓ ) ∥ ℓ 2 + ∣ λ ∗ − λ h ∗ , ℓ ∣∥ u h ∗ , ℓ ∥ ℓ 2 + ∥ V ( u ∗ − u h ∗ , ℓ ) ∥ ℓ 2
+ β ∥ ( u ∗ ) 2 + u ∗ u h ∗ , ℓ + ( u h ∗ , ℓ ) 2 ) ( u ∗ − u h ∗ , ℓ ) ∥ ℓ 2 ≤ C ∥ u ∗ − u h ∗ , ℓ ∥ ℓ 2 + C h 2 + ∥ V ∥ L ∞ ( Ω ) ∥ u ∗ − u h ∗ , ℓ ∥ ℓ 2 \begin{aligned}
\qquad+\beta\|(u^*)^2+u^*u_h^{*,\ell}+(u_h^{*,\ell})^2)(u^*-u_h^{*,\ell})\|_{\ell^2} \\
&\leq C\|u^*-u_h^{*,\ell}\|_{\ell^2}+Ch^2+\|V\|_{L^\infty(\Omega)}\|u^*-u_h^{*,\ell}\|_{\ell^2}
\end{aligned} + β ∥ ( u ∗ ) 2 + u ∗ u h ∗ , ℓ + ( u h ∗ , ℓ ) 2 ) ( u ∗ − u h ∗ , ℓ ) ∥ ℓ 2 ≤ C ∥ u ∗ − u h ∗ , ℓ ∥ ℓ 2 + C h 2 + ∥ V ∥ L ∞ ( Ω ) ∥ u ∗ − u h ∗ , ℓ ∥ ℓ 2
+ C ∥ ( u ∗ ) 2 + u ∗ u h ∗ , ℓ + ( u h ∗ , ℓ ) 2 ∥ L ∞ ( Ω ) ∥ u ∗ − u h ∗ , ℓ ∥ ℓ 2 \qquad+C\|(u^*)^2+u^*u_h^{*,\ell}+(u_h^{*,\ell})^2\|_{L^\infty(\Omega)}\|u^*-u_h^{*,\ell}\|_{\ell^2} + C ∥ ( u ∗ ) 2 + u ∗ u h ∗ , ℓ + ( u h ∗ , ℓ ) 2 ∥ L ∞ ( Ω ) ∥ u ∗ − u h ∗ , ℓ ∥ ℓ 2
≤ C ∥ u ∗ − u h ∗ , ℓ ∥ ℓ 2 2 + C h 2 \le C\lVert u^* - u_h^{*,\ell}\rVert_{\ell^2}^2 + Ch^2 ≤ C ∥ u ∗ − u h ∗ , ℓ ∥ ℓ 2 2 + C h 2 .
Since u ∗ u^* u ∗ and I h u ∗ I_hu^* I h u ∗ coincide at all nodes, Lemma 4.2 , the interpolation estimate, and Proposition 4.1 yield
∥ u ∗ − u h ∗ , ℓ ∥ ℓ 2 2 = ∥ I h u ∗ − u h ∗ , ℓ ∥ ℓ 2 2 ≤ C ∥ I h u ∗ − u h ∗ , ℓ ∥ L 2 ( Ω ) ≤ C ( ∥ u ∗ − I h u ∗ ∥ L 2 ( Ω ) + ∥ u ∗ − u h ∗ , ℓ ∥ L 2 ( Ω ) ) ≤ C h 2 . \begin{aligned}
\lVert u^* - u_h^{*,\ell}\rVert_{\ell^2}^2 = \lVert I_hu^* - u_h^{*,\ell}\rVert_{\ell^2}^2 \le C\lVert I_hu^* - u_h^{*,\ell}\rVert_{L^2(\Omega)} \\
&\le C\left(\lVert u^* - I_hu^*\rVert_{L^2(\Omega)} + \lVert u^* - u_h^{*,\ell}\rVert_{L^2(\Omega)}\right) \le Ch^2.
\end{aligned} ∥ u ∗ − u h ∗ , ℓ ∥ ℓ 2 2 = ∥ I h u ∗ − u h ∗ , ℓ ∥ ℓ 2 2 ≤ C ∥ I h u ∗ − u h ∗ , ℓ ∥ L 2 ( Ω ) ≤ C ( ∥ u ∗ − I h u ∗ ∥ L 2 ( Ω ) + ∥ u ∗ − u h ∗ , ℓ ∥ L 2 ( Ω ) ) ≤ C h 2 .
Combining the above estimates completes the proof. □
Let θ h ℓ : = u h ∗ , ℓ − R h u ∗ ∈ V h 0 \theta_h^\ell:= u_h^{*,\ell} - R_hu^* \in V_h^0 θ h ℓ := u h ∗ , ℓ − R h u ∗ ∈ V h 0 . By the definition of R h R_h R h and (17) , we have for all v h ∈ V h 0 v_h \in V_h^0 v h ∈ V h 0 ,
( ∇ θ h ℓ , ∇ v h ) L 2 ( Ω ) = ( f h ℓ , v h ) ℓ 2 − ( f , v h ) L 2 ( Ω ) = ( δ h , v h ) ℓ 2 − ( f − I h f , v h ) L 2 ( Ω ) + [ ( I h f , v h ) ℓ 2 − ( I h f , v h ) L 2 ( Ω ) ] . \begin{aligned}
(\nabla\theta_h^\ell,\nabla v_h)_{L^2(\Omega)} = (f_h^\ell,v_h)_{\ell^2} - (f,v_h)_{L^2(\Omega)} \\
&= (\delta_h,v_h)_{\ell^2} - (f-I_hf,v_h)_{L^2(\Omega)} + \left[(I_hf,v_h)_{\ell^2} - (I_hf,v_h)_{L^2(\Omega)}\right].
\end{aligned} ( ∇ θ h ℓ , ∇ v h ) L 2 ( Ω ) = ( f h ℓ , v h ) ℓ 2 − ( f , v h ) L 2 ( Ω ) = ( δ h , v h ) ℓ 2 − ( f − I h f , v h ) L 2 ( Ω ) + [ ( I h f , v h ) ℓ 2 − ( I h f , v h ) L 2 ( Ω ) ] .
For the first term, by the Riesz representation theorem on V h 0 V_h^0 V h 0 , there exists a unique q h ∈ V h 0 q_h \in V_h^0 q h ∈ V h 0 such that
( q h , v h ) L 2 ( Ω ) = ( δ h , v h ) ℓ 2 ∀ v h ∈ V h 0 . (q_h,v_h)_{L^2(\Omega)} = (\delta_h,v_h)_{\ell^2} \qquad\forall v_h \in V_h^0. ( q h , v h ) L 2 ( Ω ) = ( δ h , v h ) ℓ 2 ∀ v h ∈ V h 0 .
Taking v h = q h v_h=q_h v h = q h and using the Cauchy–Schwarz inequality together with Lemma 4.2 , we obtain
∥ q h ∥ L 2 ( Ω ) 2 ≤ ∥ δ h ∥ ℓ 2 ∥ q h ∥ ℓ 2 ≤ ( d + 2 ) ∥ δ h ∥ L 2 ( Ω ) ∥ q h ∥ L 2 ( Ω ) . \lVert q_h\rVert_{L^2(\Omega)}^2 \le\lVert\delta_h\rVert_{\ell^2}\lVert q_h\rVert_{\ell^2} \le(d+2)\lVert\delta_h\rVert_{L^2(\Omega)}\lVert q_h\rVert_{L^2(\Omega)}. ∥ q h ∥ L 2 ( Ω ) 2 ≤ ∥ δ h ∥ ℓ 2 ∥ q h ∥ ℓ 2 ≤ ( d + 2 ) ∥ δ h ∥ L 2 ( Ω ) ∥ q h ∥ L 2 ( Ω ) .
Hence, Lemma 4.4 implies ∥ q h ∥ L 2 ( Ω ) ≤ C h 2 \lVert q_h\rVert_{L^2(\Omega)} \le Ch^2 ∥ q h ∥ L 2 ( Ω ) ≤ C h 2 . For the third term, applying Lemma 4.3 on each element K ∈ T h K\in\mathcal{T}_h K ∈ T h yields
( I h f , v h ) ℓ 2 − ( I h f , v h ) L 2 ( Ω ) = ∑ K ∈ T h ∫ K ( D K ∇ I h f ) ⋅ ∇ v h d x = ( F h , ∇ v h ) L 2 ( Ω ) , (I_hf,v_h)_{\ell^2} - (I_hf,v_h)_{L^2(\Omega)} = \sum_{K\in\mathcal{T}_h}\int_K (D_K\nabla I_hf)\cdot\nabla v_h\,dx = (F_h,\nabla v_h)_{L^2(\Omega)}, ( I h f , v h ) ℓ 2 − ( I h f , v h ) L 2 ( Ω ) = K ∈ T h ∑ ∫ K ( D K ∇ I h f ) ⋅ ∇ v h d x = ( F h , ∇ v h ) L 2 ( Ω ) ,
where F h F_h F h is defined elementwise by F h ∣ K : = D K ∇ I h f ∣ K F_h|_K:=D_K\nabla I_hf|_K F h ∣ K := D K ∇ I h f ∣ K for K ∈ T h K\in\mathcal{T}_h K ∈ T h . Since D K D_K D K is symmetric positive semidefinite, Lemma 4.3 yields
∥ F h ∥ L ∞ ( Ω ) = max K ∈ T h ∥ D K ∇ I h f ∥ L ∞ ( K ) ≤ C h 2 ∥ ∇ I h f ∥ L ∞ ( Ω ) . \lVert F_h\rVert_{L^\infty(\Omega)} = \max_{K\in\mathcal{T}_h}\lVert D_K\nabla I_hf\rVert_{L^\infty(K)} \le Ch^2\lVert\nabla I_hf\rVert_{L^\infty(\Omega)}. ∥ F h ∥ L ∞ ( Ω ) = K ∈ T h max ∥ D K ∇ I h f ∥ L ∞ ( K ) ≤ C h 2 ∥ ∇ I h f ∥ L ∞ ( Ω ) .
Since V ∈ W 2 , ∞ ( Ω ) V\in W^{2,\infty}(\Omega) V ∈ W 2 , ∞ ( Ω ) and u ∗ ∈ W 2 , ∞ ( Ω ) u^*\in W^{2,\infty}(\Omega) u ∗ ∈ W 2 , ∞ ( Ω ) by Proposition 3.14 , we have f ∈ W 2 , ∞ ( Ω ) f\in W^{2,\infty}(\Omega) f ∈ W 2 , ∞ ( Ω ) . The interpolation estimate then gives
∥ ∇ I h f ∥ L ∞ ( Ω ) ≤ ∥ ∇ f ∥ L ∞ ( Ω ) + ∥ ∇ ( f − I h f ) ∥ L ∞ ( Ω ) ≤ ∥ ∇ f ∥ L ∞ ( Ω ) + C h ∥ f ∥ W 2 , ∞ ( Ω ) ≤ C , \begin{aligned}
\lVert\nabla I_hf\rVert_{L^\infty(\Omega)} \le\lVert\nabla f\rVert_{L^\infty(\Omega)} + \lVert\nabla(f-I_hf)\rVert_{L^\infty(\Omega)} \\
&\le\lVert\nabla f\rVert_{L^\infty(\Omega)} + Ch\lVert f\rVert_{W^{2,\infty}(\Omega)} \le C,
\end{aligned} ∥ ∇ I h f ∥ L ∞ ( Ω ) ≤ ∥ ∇ f ∥ L ∞ ( Ω ) + ∥ ∇ ( f − I h f ) ∥ L ∞ ( Ω ) ≤ ∥ ∇ f ∥ L ∞ ( Ω ) + C h ∥ f ∥ W 2 , ∞ ( Ω ) ≤ C ,
and hence ∥ F h ∥ L ∞ ( Ω ) ≤ C h 2 \lVert F_h\rVert_{L^\infty(\Omega)}\le Ch^2 ∥ F h ∥ L ∞ ( Ω ) ≤ C h 2 . Combining the above estimates with the interpolation estimate, Lemma 2.8 , and the inverse inequality, we obtain the following result.
Lemma 4.5. There exists h 0 > 0 h_0>0 h 0 > 0 such that for all 0 < h ≤ h 0 0<h\le h_0 0 < h ≤ h 0 ,
∥ ∇ θ h ℓ ∥ L 6 ( Ω ) + ∥ θ h ℓ ∥ L ∞ ( Ω ) ≤ C h 2 , ∥ ∇ θ h ℓ ∥ L ∞ ( Ω ) ≤ C h 2 − d 6 . \lVert\nabla\theta_h^\ell\rVert_{L^6(\Omega)} + \lVert\theta_h^\ell\rVert_{L^\infty(\Omega)} \le Ch^2,\qquad\lVert\nabla\theta_h^\ell\rVert_{L^\infty(\Omega)} \le Ch^{2-\frac{d}{6}}. ∥ ∇ θ h ℓ ∥ L 6 ( Ω ) + ∥ θ h ℓ ∥ L ∞ ( Ω ) ≤ C h 2 , ∥ ∇ θ h ℓ ∥ L ∞ ( Ω ) ≤ C h 2 − 6 d .
Proceeding as in the proofs of Theorems 3.12 and 3.15 , with Lemma 4.5 in place of Lemmas 3.9 and 3.11 , we obtain the following result.
Theorem 4.6. There exists h 0 > 0 h_0>0 h 0 > 0 such that for all 0 < h ≤ h 0 0<h\le h_0 0 < h ≤ h 0 ,
∥ u ∗ − u h ∗ , ℓ ∥ L p ( Ω ) + h ∥ ∇ ( u ∗ − u h ∗ , ℓ ) ∥ L p ( Ω ) ≤ C p h 2 for 1 ≤ p < ∞ , \lVert u^* - u_h^{*,\ell}\rVert_{L^p(\Omega)} + h\lVert\nabla(u^* - u_h^{*,\ell})\rVert_{L^p(\Omega)} \le C_ph^2 \qquad\text{for } 1\le p<\infty, ∥ u ∗ − u h ∗ , ℓ ∥ L p ( Ω ) + h ∥ ∇ ( u ∗ − u h ∗ , ℓ ) ∥ L p ( Ω ) ≤ C p h 2 for 1 ≤ p < ∞ , and
∥ u ∗ − u h ∗ , ℓ ∥ L ∞ ( Ω ) ≤ C h 2 ∣ ln h ∣ , ∥ ∇ ( u ∗ − u h ∗ , ℓ ) ∥ L ∞ ( Ω ) ≤ C h . \lVert u^* - u_h^{*,\ell}\rVert_{L^\infty(\Omega)} \le Ch^2|\ln h|,\qquad\lVert\nabla(u^* - u_h^{*,\ell})\rVert_{L^\infty(\Omega)} \le Ch. ∥ u ∗ − u h ∗ , ℓ ∥ L ∞ ( Ω ) ≤ C h 2 ∣ ln h ∣ , ∥ ∇ ( u ∗ − u h ∗ , ℓ ) ∥ L ∞ ( Ω ) ≤ C h .
Superconvergence
With the help of Theorem 4.6 , the estimate of δ h \delta_h δ h in Lemma 4.4 can be improved as follows.
Lemma 4.7. For every 2 ≤ q < ∞ 2 \le q < \infty 2 ≤ q < ∞ , there exists h 0 > 0 h_0 > 0 h 0 > 0 such that for all 0 < h ≤ h 0 0 < h \le h_0 0 < h ≤ h 0 ,
∥ δ h ∥ L q ( Ω ) ≤ C q h 2 . \lVert\delta_h\rVert_{L^q(\Omega)} \le C_q h^2. ∥ δ h ∥ L q ( Ω ) ≤ C q h 2 .
Proof. As in the proof of Lemma 4.4 , using Lemma 4.2 and the fact that u ∗ u^* u ∗ and I h u ∗ I_hu^* I h u ∗ coincide at all nodes, we obtain
∥ δ h ∥ L q ( Ω ) ≤ C q ∥ δ h ∥ ℓ q ≤ C q ∣ λ h ∗ , ℓ − λ ∗ ∣ ∥ u h ∗ , ℓ ∥ ℓ q + C q ∥ u h ∗ , ℓ − I h u ∗ ∥ ℓ q ≤ C q h 2 ∥ u h ∗ , ℓ ∥ L q ( Ω ) + C q ∥ u h ∗ , ℓ − I h u ∗ ∥ L q ( Ω ) ≤ C q h 2 , \begin{aligned}
\lVert\delta_h\rVert_{L^q(\Omega)} \le C_q\lVert\delta_h\rVert_{\ell^q} \le C_q\lvert\lambda_h^{*,\ell}-\lambda^*\rvert\lVert u_h^{*,\ell}\rVert_{\ell^q}+C_q\lVert u_h^{*,\ell}-I_hu^*\rVert_{\ell^q} \\
&\le C_qh^2\lVert u_h^{*,\ell}\rVert_{L^q(\Omega)}+C_q\lVert u_h^{*,\ell}-I_hu^*\rVert_{L^q(\Omega)}\le C_qh^2,
\end{aligned} ∥ δ h ∥ L q ( Ω ) ≤ C q ∥ δ h ∥ ℓ q ≤ C q ∣ λ h ∗ , ℓ − λ ∗ ∣ ∥ u h ∗ , ℓ ∥ ℓ q + C q ∥ u h ∗ , ℓ − I h u ∗ ∥ ℓ q ≤ C q h 2 ∥ u h ∗ , ℓ ∥ L q ( Ω ) + C q ∥ u h ∗ , ℓ − I h u ∗ ∥ L q ( Ω ) ≤ C q h 2 ,
where the last step follows from Proposition 4.1 , the interpolation estimate, and Theorem 4.6 .
To exploit Lemma 4.7 , we rewrite the equation for θ h ℓ \theta_h^\ell θ h ℓ as follows: for all v h ∈ V h 0 v_h\in V_h^0 v h ∈ V h 0 ,
( ∇ θ h ℓ , ∇ v h ) L 2 ( Ω ) = ( f h ℓ , v h ) ℓ 2 − ( f , v h ) L 2 ( Ω ) = ( δ h , v h ) L 2 ( Ω ) + [ ( δ h , v h ) ℓ 2 − ( δ h , v h ) L 2 ( Ω ) ] \begin{aligned}
(\nabla\theta_h^\ell,\nabla v_h)_{L^2(\Omega)}=(f_h^\ell,v_h)_{\ell^2}-(f,v_h)_{L^2(\Omega)} \\
&=(\delta_h,v_h)_{L^2(\Omega)}+\left[(\delta_h,v_h)_{\ell^2}-(\delta_h,v_h)_{L^2(\Omega)}\right]
\end{aligned} ( ∇ θ h ℓ , ∇ v h ) L 2 ( Ω ) = ( f h ℓ , v h ) ℓ 2 − ( f , v h ) L 2 ( Ω ) = ( δ h , v h ) L 2 ( Ω ) + [ ( δ h , v h ) ℓ 2 − ( δ h , v h ) L 2 ( Ω ) ]
− ( f − I h f , v h ) L 2 ( Ω ) + [ ( I h f , v h ) ℓ 2 − ( I h f , v h ) L 2 ( Ω ) ] . -(f-I_hf,v_h)_{L^2(\Omega)}+\left[(I_hf,v_h)_{\ell^2}-(I_hf,v_h)_{L^2(\Omega)}\right]. − ( f − I h f , v h ) L 2 ( Ω ) + [ ( I h f , v h ) ℓ 2 − ( I h f , v h ) L 2 ( Ω ) ] .
For the second term, Lemma 4.3 yields
( δ h , v h ) ℓ 2 − ( δ h , v h ) L 2 ( Ω ) = ∑ K ∈ T h ∫ K ( D K ∇ δ h ) ⋅ ∇ v h d x = ( G h , ∇ v h ) L 2 ( Ω ) , (\delta_h,v_h)_{\ell^2}-(\delta_h,v_h)_{L^2(\Omega)}
=\sum_{K\in\mathcal{T}_h}\int_K(D_K\nabla\delta_h)\cdot\nabla v_h\,\mathrm{d}x=(G_h,\nabla v_h)_{L^2(\Omega)}, ( δ h , v h ) ℓ 2 − ( δ h , v h ) L 2 ( Ω ) = K ∈ T h ∑ ∫ K ( D K ∇ δ h ) ⋅ ∇ v h d x = ( G h , ∇ v h ) L 2 ( Ω ) ,
where G h ∣ K : = D K ∇ δ h ∣ K G_h|_K:=D_K\nabla\delta_h|_K G h ∣ K := D K ∇ δ h ∣ K for K ∈ T h K\in\mathcal{T}_h K ∈ T h . Moreover, G h G_h G h is of higher order.
Lemma 4.8. For every 2 ≤ q < ∞ 2 \le q < \infty 2 ≤ q < ∞ , there exists h 0 > 0 h_0 > 0 h 0 > 0 such that for all 0 < h ≤ h 0 0 < h \le h_0 0 < h ≤ h 0 ,
∥ G h ∥ L q ( Ω ) ≤ C q h 3 . \lVert G_h\rVert_{L^q(\Omega)}\le C_qh^3. ∥ G h ∥ L q ( Ω ) ≤ C q h 3 . Proof. Since D K D_K D K is symmetric, Lemma 4.3 together with the inverse inequality and Lemma 4.7 yields
∥ G h ∥ L q ( Ω ) = ( ∑ K ∈ T h ∫ K ∣ D K ∇ δ h ∣ q d x ) 1 q ≤ C h 2 ∥ ∇ δ h ∥ L q ( Ω ) ≤ C q h 3 , \lVert G_h\rVert_{L^q(\Omega)}
=\left(\sum_{K\in\mathcal{T}_h}\int_K\lvert D_K\nabla\delta_h\rvert^q\,\mathrm{d}x\right)^{\frac{1}{q}}
\le Ch^2\lVert\nabla\delta_h\rVert_{L^q(\Omega)}\le C_qh^3, ∥ G h ∥ L q ( Ω ) = ( K ∈ T h ∑ ∫ K ∣ D K ∇ δ h ∣ q d x ) q 1 ≤ C h 2 ∥ ∇ δ h ∥ L q ( Ω ) ≤ C q h 3 , which completes the proof.
Let g h : = δ h + ( I h f − f ) g_h:=\delta_h+(I_hf-f) g h := δ h + ( I h f − f ) and F ~ h : = F h + G h \widetilde{F}_h:=F_h+G_h F h := F h + G h . By Lemmas 4.7 and 4.8 and the interpolation estimate, for every 2 ≤ q < ∞ 2\le q<\infty 2 ≤ q < ∞ ,
∥ g h ∥ L q ( Ω ) + ∥ F ~ h ∥ L q ( Ω ) ≤ C q h 2 . \lVert g_h\rVert_{L^q(\Omega)}+\lVert\widetilde{F}_h\rVert_{L^q(\Omega)}\le C_qh^2. ∥ g h ∥ L q ( Ω ) + ∥ F h ∥ L q ( Ω ) ≤ C q h 2 .
We are now in a position to state the superconvergence result for the mass-lumped FEM.
Theorem 4.9. For every 1 ≤ q < ∞ 1\le q<\infty 1 ≤ q < ∞ , there exists h 0 > 0 h_0>0 h 0 > 0 such that for all 0 < h ≤ h 0 0<h\le h_0 0 < h ≤ h 0 ,
∥ ∇ ( u h ∗ , ℓ − R h u ∗ ) ∥ L q ( Ω ) ≤ C q h 2 . \lVert\nabla(u_h^{*,\ell}-R_hu^*)\rVert_{L^q(\Omega)}\le C_qh^2. ∥ ∇ ( u h ∗ , ℓ − R h u ∗ ) ∥ L q ( Ω ) ≤ C q h 2 .
Proof. It suffices to consider 2 ≤ q < ∞ 2 \le q < \infty 2 ≤ q < ∞ , since the case 1 ≤ q < 2 1 \le q < 2 1 ≤ q < 2 then follows from Hölder’s inequality. By the above decomposition, θ h ℓ \theta_h^\ell θ h ℓ satisfies
( ∇ θ h ℓ , ∇ v h ) L 2 ( Ω ) = ( g h , v h ) L 2 ( Ω ) + ( F ~ h , ∇ v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 . (\nabla\theta_h^\ell,\nabla v_h)_{L^2(\Omega)}=(g_h,v_h)_{L^2(\Omega)}+(\widetilde{F}_h,\nabla v_h)_{L^2(\Omega)} \qquad\forall v_h\in V_h^0. ( ∇ θ h ℓ , ∇ v h ) L 2 ( Ω ) = ( g h , v h ) L 2 ( Ω ) + ( F h , ∇ v h ) L 2 ( Ω ) ∀ v h ∈ V h 0 .
Let w g h , w F ~ h ∈ H 0 1 ( Ω ) w_{g_h},w_{\widetilde{F}_h}\in H_0^1(\Omega) w g h , w F h ∈ H 0 1 ( Ω ) satisfy
( ∇ w g h , ∇ v ) L 2 ( Ω ) = ( g h , v ) L 2 ( Ω ) ∀ v ∈ H 0 1 ( Ω ) , (\nabla w_{g_h},\nabla v)_{L^2(\Omega)}=(g_h,v)_{L^2(\Omega)} \qquad\forall v\in H_0^1(\Omega), ( ∇ w g h , ∇ v ) L 2 ( Ω ) = ( g h , v ) L 2 ( Ω ) ∀ v ∈ H 0 1 ( Ω ) ,
( ∇ w F ~ h , ∇ v ) L 2 ( Ω ) = ( F ~ h , ∇ v ) L 2 ( Ω ) ∀ v ∈ H 0 1 ( Ω ) , (\nabla w_{\widetilde{F}_h},\nabla v)_{L^2(\Omega)}=(\widetilde{F}_h,\nabla v)_{L^2(\Omega)} \qquad\forall v\in H_0^1(\Omega), ( ∇ w F h , ∇ v ) L 2 ( Ω ) = ( F h , ∇ v ) L 2 ( Ω ) ∀ v ∈ H 0 1 ( Ω ) ,
so that θ h ℓ = R h ( w g h + w F ~ h ) \theta_h^\ell=R_h(w_{g_h}+w_{\widetilde{F}_h}) θ h ℓ = R h ( w g h + w F h ) . By elliptic regularity and Lemma 2.7 , respectively, we have
∥ w g h ∥ W 2 , 4 ( Ω ) ≤ C ∥ g h ∥ L 4 ( Ω ) ≤ C h 2 , ∥ w F ~ h ∥ W 1 , q ( Ω ) ≤ C q ∥ F ~ h ∥ L q ( Ω ) ≤ C q h 2 . \|w_{g_h}\|_{W^{2,4}(\Omega)}\le C\|g_h\|_{L^4(\Omega)}\le Ch^2,\qquad\|w_{\widetilde{F}_h}\|_{W^{1,q}(\Omega)}\le C_q\|\widetilde{F}_h\|_{L^q(\Omega)}\le C_qh^2. ∥ w g h ∥ W 2 , 4 ( Ω ) ≤ C ∥ g h ∥ L 4 ( Ω ) ≤ C h 2 , ∥ w F h ∥ W 1 , q ( Ω ) ≤ C q ∥ F h ∥ L q ( Ω ) ≤ C q h 2 .
Hence, Proposition 2.5 and the Sobolev embedding W 2 , 4 ( Ω ) ↪ W 1 , q ( Ω ) W^{2,4}(\Omega)\hookrightarrow W^{1,q}(\Omega) W 2 , 4 ( Ω ) ↪ W 1 , q ( Ω ) for d ≤ 3 d\le3 d ≤ 3 yield
∥ ∇ θ h ℓ ∥ L q ( Ω ) ≤ C ∥ ∇ ( w g h + w F ~ h ) ∥ L q ( Ω ) ≤ C q ∥ w g h ∥ W 2 , 4 ( Ω ) + C ∥ w F ~ h ∥ W 1 , q ( Ω ) ≤ C q h 2 , \begin{aligned}
\|\nabla\theta_h^\ell\|_{L^q(\Omega)}&\le C\|\nabla(w_{g_h}+w_{\widetilde{F}_h})\|_{L^q(\Omega)}\\
&\le C_q\|w_{g_h}\|_{W^{2,4}(\Omega)}+C\|w_{\widetilde{F}_h}\|_{W^{1,q}(\Omega)}\le C_qh^2,
\end{aligned} ∥∇ θ h ℓ ∥ L q ( Ω ) ≤ C ∥∇ ( w g h + w F h ) ∥ L q ( Ω ) ≤ C q ∥ w g h ∥ W 2 , 4 ( Ω ) + C ∥ w F h ∥ W 1 , q ( Ω ) ≤ C q h 2 ,
which completes the proof.
Remark 4.10. For d = 1 d=1 d = 1 , the superconvergence also holds for q = ∞ q=\infty q = ∞ . Indeed, w F ~ h w_{\widetilde{F}_h} w F h can be decomposed as w F ~ h = w F h + w G h w_{\widetilde{F}_h}=w_{F_h}+w_{G_h} w F h = w F h + w G h , where w F h w_{F_h} w F h and w G h w_{G_h} w G h are defined analogously with F h F_h F h and G h G_h G h , respectively. In one dimension, these problems can be solved explicitly, which yields ∥ w F h ′ ∥ L ∞ ( Ω ) ≤ C h 2 \|w_{F_h}'\|_{L^\infty(\Omega)}\le Ch^2 ∥ w F h ′ ∥ L ∞ ( Ω ) ≤ C h 2 and ∥ w G h ′ ∥ L q ( Ω ) ≤ C q h 3 \|w_{G_h}'\|_{L^q(\Omega)}\le C_qh^3 ∥ w G h ′ ∥ L q ( Ω ) ≤ C q h 3 . Hence, θ h ℓ = R h ( w g h + w F h ) + R h w G h \theta_h^\ell=R_h(w_{g_h}+w_{F_h})+R_hw_{G_h} θ h ℓ = R h ( w g h + w F h ) + R h w G h with ∥ R h ( w g h + w F h ) ∥ W 1 , ∞ ( Ω ) ≤ C h 2 \|R_h(w_{g_h}+w_{F_h})\|_{W^{1,\infty}(\Omega)}\le Ch^2 ∥ R h ( w g h + w F h ) ∥ W 1 , ∞ ( Ω ) ≤ C h 2 and ∥ R h w G h ∥ W 1 , q ( Ω ) ≤ C q h 3 \|R_hw_{G_h}\|_{W^{1,q}(\Omega)}\le C_qh^3 ∥ R h w G h ∥ W 1 , q ( Ω ) ≤ C q h 3 , and the inverse inequality yields ∥ R h w G h ∥ W 1 , ∞ ( Ω ) ≤ C q h 3 − 1 q ≤ C q h 2 \|R_hw_{G_h}\|_{W^{1,\infty}(\Omega)}\le C_qh^{3-\frac{1}{q}}\le C_qh^2 ∥ R h w G h ∥ W 1 , ∞ ( Ω ) ≤ C q h 3 − q 1 ≤ C q h 2 .
Remark 4.11. For d ∈ { 2 , 3 } d\in\{2,3\} d ∈ { 2 , 3 } , the superconvergence also holds for q = ∞ q=\infty q = ∞ if the mesh satisfies D K = D D_K=D D K = D for all K ∈ T h K\in\mathcal{T}_h K ∈ T h and some matrix D D D independent of K K K . In this case, F h F_h F h can be decomposed as
F h = D ∇ I h f = D ∇ f + D ∇ ( I h f − f ) = : F h 1 + F h 2 . F_h=D\nabla I_hf=D\nabla f+D\nabla(I_hf-f)=:F_h^1+F_h^2. F h = D ∇ I h f = D ∇ f + D ∇ ( I h f − f ) =: F h 1 + F h 2 .
For the first term, integration by parts yields
( F h 1 , ∇ v ) L 2 ( Ω ) = ( − div ( D ∇ f ) , v ) L 2 ( Ω ) ∀ v ∈ H 0 1 ( Ω ) , (F_h^1,\nabla v)_{L^2(\Omega)}=(-\operatorname{div}(D\nabla f),v)_{L^2(\Omega)} \qquad\forall v\in H_0^1(\Omega), ( F h 1 , ∇ v ) L 2 ( Ω ) = ( − div ( D ∇ f ) , v ) L 2 ( Ω ) ∀ v ∈ H 0 1 ( Ω ) ,
where ∥ div ( D ∇ f ) ∥ L ∞ ( Ω ) ≤ C h 2 \|\operatorname{div}(D\nabla f)\|_{L^\infty(\Omega)}\le Ch^2 ∥ div ( D ∇ f ) ∥ L ∞ ( Ω ) ≤ C h 2 , so that this term can be treated in the same way as g h g_h g h . Since ∥ F h 2 ∥ L q ( Ω ) + ∥ G h ∥ L q ( Ω ) ≤ C q h 3 \|F_h^2\|_{L^q(\Omega)}+\|G_h\|_{L^q(\Omega)}\le C_qh^3 ∥ F h 2 ∥ L q ( Ω ) + ∥ G h ∥ L q ( Ω ) ≤ C q h 3 , the terms F h 2 F_h^2 F h 2 and G h G_h G h can be handled as in Remark 4.10, which yields the superconvergence for q = ∞ q=\infty q = ∞ .
Numerical experiments
In this section, we present two numerical examples in two dimensions to compare the standard FEM and the mass-lumped FEM. The errors are measured in the L p L^p L p - and W 1 , p W^{1,p} W 1 , p -norms for p = 1 , 2 , 4 , 8 , ∞ p=1,2,4,8,\infty p = 1 , 2 , 4 , 8 , ∞ . Both methods use the continuous piecewise linear finite element space V h 0 V_h^0 V h 0 on a triangulation obtained by splitting each square of a uniform square grid along its southwest-to-northeast diagonal. Note that this triangulation satisfies D K = D D_K=D D K = D for all K ∈ T h K\in\mathcal{T}_h K ∈ T h . The discrete nonlinear eigenvalue problems are solved by a Newton method for the nodal values and the eigenvalue simultaneously, combined with a backtracking line search. On each refined mesh, the initial iterate is obtained by interpolating the converged solution on the preceding mesh and is then normalized with respect to the L 2 L^2 L 2 inner product for the standard FEM and with respect to the discrete inner product ( ⋅ , ⋅ ) ℓ 2 (\cdot,\cdot)_{\ell^2} ( ⋅ , ⋅ ) ℓ 2 for the mass-lumped FEM. The iteration is stopped once the relative residual is below 2 × 10 − 11 2\times10^{-11} 2 × 1 0 − 11 and the normalization constraint is satisfied up to 10 − 12 10^{-12} 1 0 − 12 .
Smooth ground state constructed from two sine modes
Let Ω = ( 0 , 1 ) 2 \Omega=(0,1)^2 Ω = ( 0 , 1 ) 2 and β = 10 \beta=10 β = 10 . We choose the potential V V V such that the exact ground state and the associated eigenvalue are given by
u ∗ ( x , y ) = 8 17 ( sin π x + 1 4 sin 3 π x ) sin π y , λ ∗ = 120 , u^*(x,y)=\frac{8}{\sqrt{17}}\left(\sin\pi x+\frac{1}{4}\sin3\pi x\right)\sin\pi y,\qquad\lambda^*=120, u ∗ ( x , y ) = 17 8 ( sin π x + 4 1 sin 3 π x ) sin π y , λ ∗ = 120 ,
where the normalization factor ensures ∥ u ∗ ∥ L 2 ( Ω ) = 1 \lVert u^*\rVert_{L^2(\Omega)}=1 ∥ u ∗ ∥ L 2 ( Ω ) = 1 . More precisely, we set
V ( x , y ) = 120 − q ( x ) − 10 u ∗ ( x , y ) 2 , q ( x ) = 2 π 2 9 + 10 cos 2 π x 5 + 2 cos 2 π x . V(x,y)=120-q(x)-10u^*(x,y)^2,\qquad q(x)=2\pi^2\frac{9+10\cos2\pi x}{5+2\cos2\pi x}. V ( x , y ) = 120 − q ( x ) − 10 u ∗ ( x , y ) 2 , q ( x ) = 2 π 2 5 + 2 cos 2 π x 9 + 10 cos 2 π x .
A direct computation shows that − Δ u ∗ = q u ∗ -\Delta u^*=q u^* − Δ u ∗ = q u ∗ , and hence ( λ ∗ , u ∗ ) (\lambda^*,u^*) ( λ ∗ , u ∗ ) solves (1) . Moreover, V V V is smooth on Ω ‾ \overline{\Omega} Ω and satisfies
V ( x , y ) ≥ 120 − 38 π 2 7 − 1000 17 > 7.59. V(x,y)\ge120-\frac{38\pi^2}{7}-\frac{1000}{17}>7.59. V ( x , y ) ≥ 120 − 7 38 π 2 − 17 1000 > 7.59.
Since u ∗ u^* u ∗ is strictly positive in Ω \Omega Ω and the positive normalized eigenfunction is unique, u ∗ u^* u ∗ is the ground state; see, e.g., [10 ] . The mesh size is h = 2 / N h=\sqrt{2}/N h = 2 / N , where N N N denotes the number of subdivisions in each coordinate direction. On the coarsest mesh, Newton’s method is initialized with the nodal interpolant I h u ∗ I_hu^* I h u ∗ , normalized with respect to the corresponding inner product.
Figure 5.1 shows the errors in the L p L^p L p - and W 1 , p W^{1,p} W 1 , p -norms for p = 1 , 2 , 4 , 8 , ∞ p=1,2,4,8,\infty p = 1 , 2 , 4 , 8 , ∞ . For both methods, the errors in the L p L^p L p -norm and the W 1 , p W^{1,p} W 1 , p -norm converge with second and first order, respectively, which is consistent with Theorems 3.12 , 3.15 , and 4.6 . Moreover, Table 5.1 reports the errors ∥ u h − R h u ∗ ∥ W 1 , p ( Ω ) \lVert u_h-R_hu^*\rVert_{W^{1,p}(\Omega)} ∥ u h − R h u ∗ ∥ W 1 , p ( Ω ) , where u h u_h u h denotes u h ∗ u_h^* u h ∗ or u h ∗ , ℓ u_h^{*,\ell} u h ∗ , ℓ . For both methods and all tested values of p p p , these errors converge with approximately second order, i.e., one order higher than ∥ u ∗ − u h ∥ W 1 , p ( Ω ) \lVert u^*-u_h\rVert_{W^{1,p}(\Omega)} ∥ u ∗ − u h ∥ W 1 , p ( Ω ) . This confirms the superconvergence results in Theorems 3.16 and 4.9 . For the mass-lumped FEM with p = ∞ p=\infty p = ∞ , the observed superconvergence agrees with Remark 4.11.
Figure 5.1. Errors of the standard FEM (top) and the mass-lumped FEM (bottom) in the L p L^p L p -norm (left) and the W 1 , p W^{1,p} W 1 , p -norm (right) for p = 1 , 2 , 4 , 8 , ∞ p=1,2,4,8,\infty p = 1 , 2 , 4 , 8 , ∞ . The dashed lines indicate the reference rates O ( N − 2 ) O(N^{-2}) O ( N − 2 ) (left) and O ( N − 1 ) O(N^{-1}) O ( N − 1 ) (right).
Table 5.1. Errors ∥ u h − R h u ∗ ∥ W 1 , p ( Ω ) \lVert u_h - R_hu^* \rVert_{W^{1,p}(\Omega)} ∥ u h − R h u ∗ ∥ W 1 , p ( Ω ) and convergence rates, where u h u_h u h denotes u h ∗ u_h^* u h ∗ for the standard FEM and u h ∗ , ℓ u_h^{*,\ell} u h ∗ , ℓ for the mass-lumped FEM.
Ground state in a harmonic potential
This example concerns the ground state of a repulsively interacting Bose–Einstein condensate confined by an isotropic harmonic trap. Let Ω = ( − 6 , 6 ) 2 \Omega=(-6,6)^2 Ω = ( − 6 , 6 ) 2 , β = 100 \beta=100 β = 100 , and
V ( x , y ) = x 2 + y 2 2 . V(x,y)=\frac{x^2+y^2}{2}. V ( x , y ) = 2 x 2 + y 2 .
The mesh size is h = 12 2 / N h=12\sqrt{2}/N h = 12 2 / N , where N N N denotes the number of subdivisions in each coordinate direction. On the coarsest mesh, the initial iterate is the finite element function whose interior nodal values coincide with those of
u 0 ( x , y ) = exp ( − x 2 + y 2 8 ) u_0(x,y)=\exp\left(-\frac{x^2+y^2}{8}\right) u 0 ( x , y ) = exp ( − 8 x 2 + y 2 )
and whose boundary nodal values vanish, normalized with respect to the corresponding inner product. Since the exact ground state is not available, the error on the mesh of size h h h is estimated by the difference u h − u h / 2 u_h-u_{h/2} u h − u h /2 between the numerical solutions on two successive meshes. Since the meshes are nested, u h u_h u h can be represented exactly on the finer mesh, and all norms are evaluated there.
Figure 5.2 shows the results for both methods. For p = 1 , 2 , 4 , 8 , ∞ p=1,2,4,8,\infty p = 1 , 2 , 4 , 8 , ∞ , the differences ∥ u h − u h / 2 ∥ L p ( Ω ) \lVert u_h-u_{h/2}\rVert_{L^p(\Omega)} ∥ u h − u h /2 ∥ L p ( Ω ) and ∥ u h − u h / 2 ∥ W 1 , p ( Ω ) \lVert u_h-u_{h/2}\rVert_{W^{1,p}(\Omega)} ∥ u h − u h /2 ∥ W 1 , p ( Ω ) converge with approximately second and first order, respectively. These results further confirm the convergence rates established in Theorems 3.12 , 3.15 , and 4.6 .
Figure 5.2. Differences u h − u h / 2 u_h-u_{h/2} u h − u h /2 between the numerical solutions on successive meshes for the standard FEM (top) and the mass-lumped FEM (bottom) in the L p L^p L p -norm (left) and the W 1 , p W^{1,p} W 1 , p -norm (right) for p = 1 , 2 , 4 , 8 , ∞ p=1,2,4,8,\infty p = 1 , 2 , 4 , 8 , ∞ . The dashed lines indicate the reference rates O ( N − 2 ) O(N^{-2}) O ( N − 2 ) (left) and O ( N − 1 ) O(N^{-1}) O ( N − 1 ) (right).
Concluding remarks
In this paper, we have analyzed the standard and the mass-lumped linear finite element methods for the Gross–Pitaevskii eigenvalue problem. For the standard FEM, we have proved that the discrete ground state is unique up to sign for sufficiently small mesh sizes. For both methods, we have derived optimal convergence rates in the L p L^p L p -norm for 1 ≤ p < ∞ 1 \leq p < \infty 1 ≤ p < ∞ and in the W 1 , p W^{1,p} W 1 , p -norm for 1 ≤ p ≤ ∞ 1 \leq p \leq\infty 1 ≤ p ≤ ∞ , as well as an almost optimal convergence rate, up to a logarithmic factor, in the L ∞ L^\infty L ∞ -norm. Furthermore, we have shown that the discrete ground states superconverge to the Ritz projection of the exact ground state in the W 1 , p W^{1,p} W 1 , p -seminorm. For the standard FEM, this holds for 1 ≤ p ≤ ∞ 1 \leq p \leq\infty 1 ≤ p ≤ ∞ , whereas for the mass-lumped FEM, it holds for 1 ≤ p < ∞ 1 \leq p < \infty 1 ≤ p < ∞ in general and for p = ∞ p=\infty p = ∞ if d = 1 d=1 d = 1 or if D K D_K D K is independent of K K K . The latter case is confirmed by our numerical experiments. Whether the superconvergence of the mass-lumped FEM holds for p = ∞ p=\infty p = ∞ on general meshes in two and three dimensions remains an open question.
Declaration of generative AI use. The research problem considered in this paper, the main ideas and proof strategies underlying the error analysis, and the overall structure of the manuscript were conceived and developed by the authors. Generative AI tools, ChatGPT (OpenAI) and Claude (Anthropic), were used to assist with the language editing of the manuscript, the verification of mathematical derivations, the design of numerical examples, and the review of related results in the literature. All AI-generated suggestions were critically examined and, where necessary, revised by the authors. The authors have verified all mathematical arguments, references, and numerical results, and take full responsibility for the content of this paper.
References