Introduction

Context

Let XX be a Banach space (the state space) describing the possible values for the state x(t)∈Xx(t) \in X and let UU be a Banach space (the input space) describing the possible values for the control u(t)∈Uu(t) \in U. Fix p∈[1,∞]p \in[1,\infty]. We consider controls u∈Lp(R+;U)u \in L^p(\mathbb{R}_{+};U), where R+≔[0,∞)\mathbb{R}_{+} \coloneqq[0,\infty).

The following definition has been popularized by [18]; see also [15, 17].

Definition 1.1. An abstract linear control system with state space XX and input space UU is a pair (T,Φ)(\mathrm{T},\Phi) of families of operators such that

  • T=(Tt)t≥0\mathrm{T} = (\mathrm{T}_{t})_{t \ge0} is a strongly continuous semigroup of bounded linear operators on XX;

  • Φ=(Φt)t≥0\Phi= (\Phi_{t})_{t \ge0} is a family of bounded linear operators from Lp(R+;U)L^p(\mathbb{R}_{+};U) to XX, called input maps, such that, for all t,τ≥0t,\tau\ge0 and u,v∈Lp(R+;U)u,v \in L^p(\mathbb{R}_{+};U),

Φτ+t(u⋄τv)=TtΦτu+Φtv,(1)\Phi_{\tau+t}(u \diamond_{\tau} v) = \mathrm{T}_{t}\Phi_{\tau}u + \Phi_{t}v, \tag*{(1)}

where u⋄τv∈Lp(R+;U)u \diamond_{\tau} v \in L^p(\mathbb{R}_{+};U) denotes the τ\tau-concatenation of uu and vv defined as:

(u⋄τv)(s)≔{u(s)for s∈[0,τ),v(s−τ)for s≥τ.(2)(u \diamond_{\tau} v)(s) \coloneqq \begin{cases} u(s) & \text{for } s \in[0,\tau), \\ v(s-\tau) & \text{for } s \ge\tau. \end{cases} \tag*{(2)}

For a given initial data x∘∈Xx^{\circ} \in X and control u∈Lp(R+;U)u \in L^p(\mathbb{R}_{+};U), one thinks of x(t)≔Ttx∘+Φtux(t) \coloneqq\mathrm{T}_{t}x^{\circ} + \Phi_{t}u as the solution to a linear control system with initial data x∘x^{\circ} and control uu. One is interested in knowing if such solutions are continuous in time. Basic semigroup theory automatically yields the continuity of the uncontrolled part (see e.g. [11], Chapter 1, Corollary 2.3).

Proposition 1.2. For any x∘∈Xx^{\circ} \in X, t↦Ttx∘t \mapsto\mathrm{T}_{t}x^{\circ} is continuous on R+\mathbb{R}_{+}.

When p∈[1,∞)p \in[1,\infty), an elementary argument entails that the controlled part is continuous too (see [18], Proposition 2.3). The argument uses that p<∞p < \infty twice: first it uses that ∥u∥Lp((0,t);U)→0\lVert u\rVert_{L^p((0,t);U)} \to0 as t→0t \to0, and second it uses that translations are continuous in Lp(R+;U)L^p(\mathbb{R}_{+};U).

Proposition 1.3. Assume that p∈[1,∞)p \in[1,\infty). For all u∈Lp(R+;U)u \in L^p(\mathbb{R}_{+};U), t↦Φtut \mapsto\Phi_{t}u is continuous on R+\mathbb{R}_{+}.

The endpoint case p=∞p = \infty was left open as Problem 2.4 in [18]. Recent research papers [9], p. 23 or [4], Section 6 still mention this case as open in full generality. It is nevertheless known that continuity does hold for various classes of systems (see e.g. [7] or [13], Section 4.4).

Zero-class systems

From the composition relation (1) with t=τ=0t=\tau=0, one obtains that Φ0=0\Phi_{0}=0. For t≥0t\geq0, define

κ(t):=∥Φt∥L(Lp(R+;U),X).(3)\kappa(t):=\lVert\Phi_{t}\rVert_{\mathcal{L}(L^{p}(\mathbb{R}_{+};U),X)}. \tag*{(3)}

Taking u=0u=0 in (1), one also obtains that, for all t,τ≥0t,\tau\geq0,

κ(t)≤κ(t+τ).(4)\kappa(t)\leq\kappa(t+\tau). \tag*{(4)}

One can then wonder whether κ(t)→0\kappa(t)\to0 as t→0t\to0. This leads to the following definition, introduced in [20] in the context of observation operators (see also [5]).

Definition 1.4. An abstract linear control system (T,Φ)(\mathbb{T},\Phi) is said to be of the zero-class when

lim⁡t→0κ(t)=0.(5)\lim_{t\to0}\kappa(t)=0. \tag*{(5)}

Many papers underline the importance of this notion, sufficient conditions for systems to be of the zero-class, and consequences thereof (see e.g. [1]). In particular, in [4], Proposition 2.5, the authors prove that the solutions to zero-class systems for p=∞p=\infty and admitting an integral representation are continuous in time.

Not all systems are of the zero-class. For instance, with p=1p=1, take X=U=RX=U=\mathbb{R}, Tt=Id⁡\mathbb{T}_{t}=\operatorname{Id} and Φtu:=∫0tu(s)ds\Phi_{t}u:=\int_{0}^{t}u(s)\mathrm{d}s. Then, for any t>0t>0, κ(t)=1\kappa(t)=1. See Section 3.1 for a general p∈[1,∞)p\in[1,\infty).

Main results

In contrast with the case p∈[1,∞)p\in[1,\infty), we establish that all abstract linear control systems are of the zero-class for p=∞p=\infty (even without assuming any integral representation).

Theorem 1.5. Let X,UX,U be arbitrary Banach spaces and (T,Φ)(\mathbb{T},\Phi) be an abstract linear control system with p=∞p=\infty. Then the system is of the zero-class, i.e. lim⁡t→0∥Φt∥L(L∞(R+;U),X)=0\lim_{t\to0}\lVert\Phi_{t}\rVert_{\mathcal{L}(L^{\infty}(\mathbb{R}_{+};U),X)}=0.

Arora, Preußler and Schwenninger proved in an independent very recent preprint [2] that every L∞L^{\infty}-admissible control operator B∈L(U,X−1)B\in\mathcal{L}(U,X_{-1}) is admissible for an Orlicz heart EFE_{F} associated with a suitable Young function (see Section 3.2). Their theorem yields both the zero-class property and continuity of mild solutions. Thus, for systems admitting the usual semigroup-convolution representation, their result provides a stronger admissibility conclusion than the one proved here.

Our paper works directly with the abstract input maps and its concatenation identity, without assuming the existence of a control operator or an integral representation. Our only additional functional-analytic ingredient is Phillips’ lemma. In particular, the argument does not require sun-dual observation operators or Orlicz-space duality.

For p∈[1,∞)p\in[1,\infty), all abstract linear control systems admit an integral representation (see [18], Theorem 3.9). It is not the case for p=∞p=\infty (see [19], Section 3 and Remark 3.7). In Section 3.2, we give a variant of the classical invariant-mean construction behind the failure of integral representation at p=∞p=\infty. For this system, X=U=RX=U=\mathbb{R} and Tt=Id⁡\mathbb{T}_{t}=\operatorname{Id}, and we show that it is not EFE_{F}-admissible for any finite-valued Young function FF. Thus the results of [2] do not apply directly to all systems covered by Theorem 1.5 and Corollary 1.6, and the Orlicz improvement obtained there does not extend to the full class of abstract input maps.

As in [4], Proposition 2.5, Theorem 1.5 entails the following extension of Proposition 1.3 to p=∞p=\infty (even without assuming any integral representation; see Section 2.4).

Corollary 1.6. Let X,UX,U be arbitrary Banach spaces and (T,Φ)(\mathbb{T},\Phi) be an abstract linear control system with p=∞p=\infty. For all u∈L∞(R+;U)u\in L^{\infty}(\mathbb{R}_{+};U), t↦Φtut\mapsto\Phi_{t}u is continuous on R+\mathbb{R}_{+}.

Proofs

Elementary consequences of the composition property

Lemma 2.1. For all s,t,τ≥0s,t,\tau\ge0 and u,v∈Lp(R+;U)u,v \in L^{p}(\mathbb{R}_{+};U),

Φτ(u⋄τv)=Φτu,(6)\Phi_{\tau}\left(u \mathbin{\underset{\tau}{\diamond}} v\right)=\Phi_{\tau}u, \tag*{(6)}
Φs+t(0⋄sv)=Φtv,(7)\Phi_{s+t}\left(0 \mathbin{\underset{s}{\diamond}} v\right)=\Phi_{t}v, \tag*{(7)}
Φτ+t(u⋄τ0)=TtΦτu.(8)\Phi_{\tau+t}\left(u \mathbin{\underset{\tau}{\diamond}} 0\right)=T_{t}\Phi_{\tau}u. \tag*{(8)}

In words: Φτu\Phi_{\tau}u only depends on u∣[0,τ)u|_{[0,\tau)}; an initial period of zero input has no effect; once the input is switched off, the state evolves freely.

Proof. These are (1) with t=0t=0 (recall Φ0=0\Phi_{0}=0), with u=0u=0, and with v=0v=0 respectively. □\square

Phillips’ lemma

We use the following classical form of Phillips’ lemma (see [12], Corollary 3.4 or [10], Section 6.1).

Lemma 2.2. Let (μn)n≥0(\mu_{n})_{n\ge0} be a sequence in (ℓ∞(N))∗(\ell^{\infty}(\mathbb{N}))^{*} such that, for every a∈ℓ∞(N)a\in\ell^{\infty}(\mathbb{N}), μn(a)→0\mu_{n}(a)\to0. If (ek)k≥0(e_{k})_{k\ge0} denote the canonical vectors of ℓ∞(N)\ell^{\infty}(\mathbb{N}), then

∑k=0∞∣μn(ek)∣→0.(9)\sum_{k=0}^{\infty}\left|\mu_{n}(e_{k})\right|\to0. \tag*{(9)}

In particular μn(en)→0\mu_{n}(e_{n})\to0.

We will use it through the following consequence. By definition of a strongly continuous semigroup, for each fixed x∈Xx\in X, (Tt−Id)x→0(T_{t}-\mathrm{Id})x\to0 as t→0t\to0, but this convergence is in general not uniform on bounded sets. The lemma below states that it is nevertheless uniform along the images of the canonical vectors under any bounded operator from ℓ∞(N)\ell^{\infty}(\mathbb{N}).

Lemma 2.3. Let S∈L(ℓ∞(N),X)S\in\mathcal{L}(\ell^{\infty}(\mathbb{N}),X) and (tn)n≥0(t_{n})_{n\ge0} be nonnegative times with tn→0t_{n}\to0. Then

∥(Ttn−Id)Sen∥X→0.(10)\left\|\left(T_{t_{n}}-\mathrm{Id}\right)Se_{n}\right\|_{X}\to0. \tag*{(10)}

Proof. By the Hahn–Banach theorem, for each nn there exists xn∗∈X∗x_{n}^{*}\in X^{*} with ∥xn∗∥X∗≤1\|x_{n}^{*}\|_{X^{*}}\le1 such that xn∗((Ttn−Id)Sen)=∥(Ttn−Id)Sen∥Xx_{n}^{*}((T_{t_{n}}-\mathrm{Id})Se_{n})=\|(T_{t_{n}}-\mathrm{Id})Se_{n}\|_{X}. Define μn∈(ℓ∞(N))∗\mu_{n}\in(\ell^{\infty}(\mathbb{N}))^{*} by μn(α):=xn∗((Ttn−Id)Sα)\mu_{n}(\alpha):=x_{n}^{*}((T_{t_{n}}-\mathrm{Id})S\alpha). For each fixed α∈ℓ∞(N)\alpha\in\ell^{\infty}(\mathbb{N}), ∣μn(α)∣≤∥(Ttn−Id)Sα∥X→0|\mu_{n}(\alpha)|\le\|(T_{t_{n}}-\mathrm{Id})S\alpha\|_{X}\to0 by the definition of a strongly continuous semigroup. Hence Lemma 2.2 yields μn(en)→0\mu_{n}(e_{n})\to0, which is the claim. □\square

Proof of the zero-class property

By (4), κ\kappa is nonnegative and nondecreasing, so the limit

ℓ≔lim⁡t→0+κ(t)=inf⁡t>0κ(t)(11)\ell\coloneqq\lim_{t\to0^{+}}\kappa(t)=\inf_{t>0}\kappa(t) \tag*{(11)}

exists in [0,∞)[0,\infty). Proving Theorem 1.5 amounts to proving that ℓ=0\ell=0.

Idea of the proof

Let 0<h≪10<h\ll1 and uu be a control on [0,h][0,h] of L∞L^{\infty} norm at most 1 such that x≔Φhux\coloneqq\Phi_{h}u is nearly extremal, i.e. ∥x∥X≈κ(h)≈ℓ\|x\|_{X}\approx\kappa(h)\approx\ell. Playing uu twice in a row leads, at time 2h2h, to the state Thx+xT_{h}x+x.

  • On the one hand, this state is reached in time 2h2h with a control of L∞L^{\infty} norm at most 1, so its norm is at most κ(2h)≈ℓ\kappa(2h)\approx\ell.

  • On the other hand, if the semigroup barely moves xx during the time hh, this state is close to 2x2x, whose norm is approximately 2ℓ2\ell.

Hence 2ℓ≤ℓ2\ell\le\ell, i.e. ℓ=0\ell=0.

The only delicate point is to guarantee that (Th−Id)x(T_{h}-\mathrm{Id})x is small. Strong continuity gives this for a fixed xx as h→0h\to0, but here xx depends on hh. The required uniformity will be provided by Lemma 2.3, once the nearly extremal controls are packed into a single bounded operator on ℓ∞(N)\ell^{\infty}(\mathbb{N}).

Detailed proof

Proof of Theorem 1.5. Let K≔sup⁡0≤t≤1∥Tt∥L(X)<∞K \coloneqq\sup_{0 \le t \le1}\lVert T_t\rVert_{\mathcal{L}(X)} < \infty by [11], Chapter 1, Theorem 2.2.

Step 1: A doubling inequality. Let h>0h>0 and u∈L∞(R+;U)u\in L^\infty(\mathbb{R}_+;U) with ∥u∥L∞≤1\lVert u\rVert_{L^\infty}\le1. Set x≔Φhux\coloneqq\Phi_hu and w≔u⋄huw\coloneqq u\mathbin{\diamond_h}u, which consists of two consecutive copies of u∣[0,h)u|_{[0,h)}. Then ∥w∥L∞≤1\lVert w\rVert_{L^\infty}\le1 and the composition property (1.1) with τ=t=h\tau=t=h gives

Φ2hw=ThΦhu+Φhu=Thx+x.(12)\Phi_{2h}w=T_h\Phi_hu+\Phi_hu=T_hx+x. \tag*{(12)}

Writing 2x=Φ2hw−(Th−Id)x2x=\Phi_{2h}w-(T_h-\mathrm{Id})x, we obtain

2∥x∥X≤κ(2h)+∥(Th−Id)x∥X.(13)2\lVert x\rVert_X\le\kappa(2h)+\lVert(T_h-\mathrm{Id})x\rVert_X. \tag*{(13)}

Consequently, it suffices to construct times hn→0h_n\to0 and controls unu_n with ∥un∥L∞≤1\lVert u_n\rVert_{L^\infty}\le1 such that the states xn≔Φhnunx_n\coloneqq\Phi_{h_n}u_n satisfy

∥xn∥X⟶ℓand∥(Thn−Id)xn∥X⟶0.(14)\lVert x_n\rVert_X\longrightarrow\ell \qquad\text{and}\qquad \lVert(T_{h_n}-\mathrm{Id})x_n\rVert_X\longrightarrow0. \tag*{(14)}

Indeed, applying (13) with h≔hnh\coloneqq h_n and u≔unu\coloneqq u_n, and letting n→∞n\to\infty (recall that κ(2hn)→ℓ\kappa(2h_n)\to\ell since 2hn→02h_n\to0), then yields 2ℓ≤ℓ2\ell\le\ell, hence ℓ=0\ell=0.

Step 2: Nearly extremal controls with short time scales. We construct hnh_n, unu_n and xnx_n inductively for n≥0n\ge0, starting from h0≔1/2h_0\coloneqq1/2. Given hnh_n, by definition of κ(hn)\kappa(h_n) as an operator norm, there exists un∈L∞(R+;U)u_n\in L^\infty(\mathbb{R}_+;U) with ∥un∥L∞≤1\lVert u_n\rVert_{L^\infty}\le1 and ∥Φhnun∥X≥κ(hn)−2−n\lVert\Phi_{h_n}u_n\rVert_X\ge\kappa(h_n)-2^{-n}. By (2.1), replacing unu_n by un∣[0,hn)u_n|_{[0,h_n)} does not change Φhnun\Phi_{h_n}u_n, so we can moreover assume that un=0u_n=0 on [hn,∞)[h_n,\infty). We set xn≔Φhnunx_n\coloneqq\Phi_{h_n}u_n, so that

κ(hn)−2−n≤∥xn∥X≤κ(hn).(15)\kappa(h_n)-2^{-n}\le\lVert x_n\rVert_X\le\kappa(h_n). \tag*{(15)}

Then, by strong continuity of the semigroup at the fixed vector xnx_n, we choose hn+1∈(0,hn/2]h_{n+1}\in(0,h_n/2] such that

∥Ttxn−xn∥X≤2−nfor all t∈[0,2hn+1].(16)\lVert T_tx_n-x_n\rVert_X\le2^{-n} \qquad\text{for all }t\in[0,2h_{n+1}]. \tag*{(16)}

In words: the state xnx_n is essentially frozen by the semigroup during the time needed to play all the subsequent controls (see (17) below).

Since hn≤2−n−1h_n\le2^{-n-1}, we have hn→0h_n\to0, hence κ(hn)→ℓ\kappa(h_n)\to\ell and, by (15), ∥xn∥X→ℓ\lVert x_n\rVert_X\to\ell. This is the first half of (14).

Step 3: Packing the controls into one operator. Let sn≔h0+⋯+hn−1s_n\coloneqq h_0+\cdots+h_{n-1} (with s0=0s_0=0) and H≔∑k≥0hkH\coloneqq\sum_{k\ge0}h_k. Since hk+1≤hk/2h_{k+1}\le h_k/2, we have H≤2h0=1H\le2h_0=1 and

H−sn+1=∑k>nhk≤2hn+1.(17)H-s_{n+1}=\sum_{k>n}h_k\le2h_{n+1}. \tag*{(17)}

The intervals [sn,sn+1)[s_n,s_{n+1}) partition [0,H)[0,H). For α∈ℓ∞(N)\alpha\in\ell^\infty(\mathbb{N}), we play the controls one after the other, the nn-th one with amplitude αn\alpha_n:

uα(s)≔{αnun(s−sn)for s∈[sn,sn+1), n≥0,0for s≥H.(18)u^\alpha(s)\coloneqq \begin{cases} \alpha_nu_n(s-s_n) & \text{for }s\in[s_n,s_{n+1}),\ n\ge0,\\ 0 & \text{for }s\ge H. \end{cases} \tag*{(18)}

The map α↦uα\alpha\mapsto u^\alpha is linear and, since ∥un∥L∞≤1\lVert u_n\rVert_{L^\infty}\le1, ∥uα∥L∞≤∥α∥ℓ∞\lVert u^\alpha\rVert_{L^\infty}\le\lVert\alpha\rVert_{\ell^\infty}. Hence Sα≔ΦHuαS\alpha\coloneqq\Phi_Hu^\alpha defines S∈L(ℓ∞(N),X)S\in\mathcal{L}(\ell^\infty(\mathbb{N}),X).

Let us compute SenSe_n. Since un=0u_n=0 on [hn,∞)[h_n,\infty), we have uen=0⋄snunu^{e_n}=0\mathbin{\diamond_{s_n}}u_n and un=un⋄hn0u_n=u_n\mathbin{\diamond_{h_n}}0. Thus, by (2.2) and then (2.3), Sen=ΦH−snun=TH−sn+1Φhnun=TH−sn+1xnSe_n=\Phi_{H-s_n}u_n=T_{H-s_{n+1}}\Phi_{h_n}u_n=T_{H-s_{n+1}}x_n. In words, SenSe_n is the nn-th state xnx_n, after it has evolved freely while the later controls are played. By (16) and (17), this evolution is negligible:

∥Sen−xn∥X≤2−n.(19)\lVert Se_n-x_n\rVert_X\le2^{-n}. \tag*{(19)}

Step 4: Conclusion. By (19) and ∥Thn−Id∥L(X)≤K+1\lVert T_{h_n}-\mathrm{Id}\rVert_{\mathcal{L}(X)}\le K+1,

∥(Thn−Id)xn∥X≤∥(Thn−Id)Sen∥X+(K+1)2−n,(20)\lVert(T_{h_n}-\mathrm{Id})x_n\rVert_X \le \lVert(T_{h_n}-\mathrm{Id})Se_n\rVert_X+(K+1)2^{-n}, \tag*{(20)}

which tends to 0 by Lemma 2.3 with tn≔hnt_n\coloneqq h_n.

This is the second half of (14), which concludes the proof by Step 1. □\square

Proof of the time continuity

In [4], the authors prove that the solutions to zero-class L∞L^\infty systems are continuous in time. Their proof assumes that the input map has an integral representation. We show that the composition property is sufficient to reach the conclusion.

Proof of Corollary 1.6. By Theorem 1.5, one has (5), i.e. lim⁡t→0κ(t)=0\lim_{t \to0}\kappa(t)=0, where κ(t)=∥Φt∥\kappa(t)=\lVert\Phi_t\rVert. Fix u∈L∞(R+;U)u \in L^\infty(\mathbb{R}_+;U). We want to prove that t↦Φtut \mapsto\Phi_tu is continuous on R+=[0,∞)\mathbb{R}_+=[0,\infty).

  • At t0=0t_0=0, using (5),

    ∥Φtu∥X≤κ(t)∥u∥L∞⟶0(21)\lVert\Phi_tu\rVert_X \le\kappa(t)\lVert u\rVert_{L^\infty} \longrightarrow0 \tag*{(21)}

    so t↦Φtut \mapsto\Phi_tu is continuous at t0=0t_0=0.

  • We now fix t0>0t_0>0. Let ε>0\varepsilon>0. Using (5), choose 0<δ<t00<\delta<t_0 small enough such that

    2κ(2δ)∥u∥L∞≤12ε.(22)2\kappa(2\delta)\lVert u\rVert_{L^\infty} \le\frac{1}{2}\varepsilon. \tag*{(22)}

    Let t1:=t0−δt_1:=t_0-\delta and u1(s):=u(t1+s)u_1(s):=u(t_1+s). By the composition property (1), for t≥t1t \ge t_1,

    Φtu=Tt−t1Φt1u+Φt−t1u1.(23)\Phi_tu=T_{t-t_1}\Phi_{t_1}u+\Phi_{t-t_1}u_1. \tag*{(23)}

    In particular,

    Φt0u=TδΦt1u+Φδu1.(24)\Phi_{t_0}u=T_\delta\Phi_{t_1}u+\Phi_\delta u_1. \tag*{(24)}

    Thus, for t∈[t0−δ,t0+δ]t \in[t_0-\delta,t_0+\delta], subtracting both identities,

    ∥Φtu−Φt0u∥X≤∥(Tt−t1−Tδ)Φt1u∥X+∥Φt−t1u1∥X+∥Φδu1∥X.(25)\lVert\Phi_tu-\Phi_{t_0}u\rVert_X \le\lVert(T_{t-t_1}-T_\delta)\Phi_{t_1}u\rVert_X+\lVert\Phi_{t-t_1}u_1\rVert_X+\lVert\Phi_\delta u_1\rVert_X. \tag*{(25)}

    Using (4), we have κ(t−t1)≤κ(2δ)\kappa(t-t_1)\le\kappa(2\delta) and κ(δ)≤κ(2δ)\kappa(\delta)\le\kappa(2\delta). Thus, since ∥u1∥L∞≤∥u∥L∞\lVert u_1\rVert_{L^\infty}\le\lVert u\rVert_{L^\infty},

    ∥Φt−t1u1∥X+∥Φδu1∥X≤2κ(2δ)∥u∥L∞≤12ε.(26)\lVert\Phi_{t-t_1}u_1\rVert_X+\lVert\Phi_\delta u_1\rVert_X \le2\kappa(2\delta)\lVert u\rVert_{L^\infty}\le\frac{1}{2}\varepsilon. \tag*{(26)}

    Moreover, by Proposition 1.2 with x∘=Φt1ux^\circ=\Phi_{t_1}u, the map s↦Ts(Φt1u)s\mapsto T_s(\Phi_{t_1}u) is continuous on R+\mathbb{R}_+, and in particular at s=δs=\delta. Hence there exists δ′>0\delta'>0 such that, if ∣t−t0∣=∣(t−t1)−δ∣≤δ′\lvert t-t_0\rvert=\lvert(t-t_1)-\delta\rvert\le\delta',

    ∥(Tt−t1−Tδ)Φt1u∥X≤12ε.(27)\lVert(T_{t-t_1}-T_\delta)\Phi_{t_1}u\rVert_X\le\frac{1}{2}\varepsilon. \tag*{(27)}

    This concludes the proof of the continuity at t0t_0. □\square

Examples and counterexamples

Failure of the zero-class property for finite pp

Theorem 1.5 establishes that any abstract linear control system with p=∞p=\infty is zero-class. In contrast, we illustrate here that, for every 1≤p<∞1\le p<\infty, there exists an abstract linear control system with scalar inputs which is not zero-class.

The example given below is classical; see e.g. [6].

Proposition 3.1. Let p∈[1,∞)p\in[1,\infty). There exist Banach spaces XX and UU, and an abstract linear control system (T,Φ)(\mathrm{T},\Phi) such that κ(t)=1\kappa(t)=1 for all t>0t>0.

Proof. Take X=Lp(R+;R)X=L^p(\mathbb{R}_+;\mathbb{R}), U=RU=\mathbb{R} and let T\mathrm{T} be the right-shift semigroup on XX, defined by

(Ttf)(s):={0,0≤s<t,f(s−t),s≥t.(28)(T_tf)(s):= \begin{cases} 0, & 0\le s<t,\\ f(s-t), & s\ge t. \end{cases} \tag*{(28)}

This is a semigroup of isometries. Its strong continuity follows from the continuity of translations in Lp(R)L^p(\mathbb{R}), after extending ff by zero to the negative half-line. This continuity fails for p=∞p=\infty.

Define the input maps Φt:Lp(R+;U)→X\Phi_t:L^p(\mathbb{R}_+;U)\to X by

(Φtu)(s)≔{u(t−s),0≤s<t,0,s≥t.(29)(\Phi_tu)(s)\coloneqq \begin{cases} u(t-s), & 0\le s<t,\\ 0, & s\ge t. \end{cases} \tag*{(29)}

These maps are linear and bounded, since

∥Φtu∥Xp=∫0t∣u(t−s)∣p ds=∫0t∣u(s)∣p ds≤∥u∥Lp(R+;U)p.(30)\lVert\Phi_tu\rVert_X^p=\int_0^t\lvert u(t-s)\rvert^p\,\mathrm{d}s=\int_0^t\lvert u(s)\rvert^p\,\mathrm{d}s\le\lVert u\rVert_{L^p(\mathbb{R}_+;U)}^p. \tag*{(30)}

Moreover, for t,τ≥0t,\tau\ge0 and w≔u⋄τvw\coloneqq u\mathbin{\diamond_\tau}v, one has almost everywhere

(Φτ+tw)(s)={v(t−s),0≤s<t,u(τ+t−s),t≤s<τ+t,0,s≥τ+t.(31)(\Phi_{\tau+t}w)(s)= \begin{cases} v(t-s), & 0\le s<t,\\ u(\tau+t-s), & t\le s<\tau+t,\\ 0, & s\ge\tau+t. \end{cases} \tag*{(31)}

The right-hand side equals (TtΦτu)(s)+(Φtv)(s)(\mathrm{T}_t\Phi_\tau u)(s)+(\Phi_tv)(s), proving the concatenation identity. Thus (T,Φ)(\mathrm{T},\Phi) is an abstract linear control system.

However, for every t>0t>0, the input ut≔t−1p1[0,t)u_t\coloneqq t^{-\frac{1}{p}}\mathbf{1}_{[0,t)} satisfies ∥ut∥Lp(R+;U)=∥Φtut∥X=1\lVert u_t\rVert_{L^p(\mathbb{R}_+;U)}=\lVert\Phi_tu_t\rVert_X=1. Consequently, κ(t)=∥Φt∥=1\kappa(t)=\lVert\Phi_t\rVert=1 for all t>0t>0, so the system is not zero-class. □\square

Systems without integral representation for p=∞p=\infty

Context. Let X−1X_{-1} be the extrapolation space associated with the generator AA of T\mathrm{T}, to which T\mathrm{T} extends as a strongly continuous semigroup (see e.g. [16], Section 2.10). We say that (T,Φ)(\mathrm{T},\Phi) admits an integral representation when there exists B∈L(U,X−1)B\in\mathcal{L}(U,X_{-1}) such that

Φtu=∫0tTt−sBu(s) dsfor all t≥0 and u∈Lp(R+;U).(32)\Phi_tu=\int_0^t\mathrm{T}_{t-s}Bu(s)\,\mathrm{d}s\qquad\text{for all }t\ge0\text{ and }u\in L^p(\mathbb{R}_+;U). \tag*{(32)}

For p∈[1,∞)p\in[1,\infty), every abstract linear control system admits an integral representation [18], Theorem 3.9. For p=∞p=\infty, this fails, as shown by Weiss with a construction based on invariant means [19], Section 3 and Remark 3.7.

Following [2], a Young function is a finite-valued, convex, continuous, nondecreasing function F:[0,∞)→[0,∞)F:[0,\infty)\to[0,\infty) such that F(r)/r→0F(r)/r\to0 as r→0r\to0 and F(r)/r→∞F(r)/r\to\infty as r→∞r\to\infty. For t>0t>0, the associated Luxemburg norm is

∥u∥F,t≔inf⁡{λ>0:∫0tF(∥u(s)∥Uλ) ds≤1}.(33)\lVert u\rVert_{F,t}\coloneqq\inf\left\{\lambda>0:\int_0^tF\left(\frac{\lVert u(s)\rVert_U}{\lambda}\right)\,\mathrm{d}s\le1\right\}. \tag*{(33)}

We say that (T,Φ)(\mathrm{T},\Phi) is EFE_F-admissible when, for every t>0t>0, there exists Ct≥0C_t\ge0 such that

∥Φtu∥X≤Ct∥u∥F,tfor all u∈L∞(R+;U).(34)\lVert\Phi_tu\rVert_X\le C_t\lVert u\rVert_{F,t}\qquad\text{for all }u\in L^\infty(\mathbb{R}_+;U). \tag*{(34)}

By [2], Proposition 2.1, every system with p=∞p=\infty admitting an integral representation is EFE_F-admissible for some Young function FF depending on the system. This is stronger than the zero-class property: by (7) and (34), κ(h)≤CT∥1(T−h,T)∥F,T→0\kappa(h)\le C_T\lVert\mathbf{1}_{(T-h,T)}\rVert_{F,T}\to0 as h→0h\to0. The following example shows that this strategy cannot cover all the systems of Theorem 1.5.

An example based on an exotic invariant mean. Let Lper∞L^\infty_{\mathrm{per}} denote the space of 1-periodic elements of L∞(R;R)L^\infty(\mathbb{R};\mathbb{R}). We use the following classical fact; see [14, 3], or [19], Lemma 3.3.

Lemma 3.2. There exists a linear map m:Lper∞→Rm:L^\infty_{\mathrm{per}}\to\mathbb{R} such that

(a) m(f)≥0m(f)\ge0 whenever f≥0f\ge0 almost everywhere, and m(1)=1m(1)=1;

(b) m(f(⋅−a))=m(f)m(f(\mathord{\cdot}-a))=m(f) for all f∈Lper∞f\in L^\infty_{\mathrm{per}} and a∈Ra\in\mathbb{R};

(c) m(f)≠∫01f(s) dsm(f)\ne\int_0^1f(s)\,\mathrm{d}s for some f∈Lper∞f\in L^\infty_{\mathrm{per}}.

Proposition 3.3. There exists an abstract linear control system (T,Φ)(\mathbb{T},\Phi) with p=∞p=\infty, X=U=RX=U=\mathbb{R} and Tt=Id⁡T_t=\operatorname{Id} for all t≥0t\geq0, such that:

  1. (i)(i) κ(t)=t\kappa(t)=t for every t≥0t\geq0;

  2. (ii)(ii) (T,Φ)(\mathbb{T},\Phi) admits no integral representation;

  3. (iii)(iii) (T,Φ)(\mathbb{T},\Phi) is not EFE_F-admissible, for any Young function FF.

Proof. Step 1: A translation-invariant functional. Let f∈L∞(R;R)f\in L^\infty(\mathbb{R};\mathbb{R}) vanish outside a bounded interval. Its periodization Pf(r):=∑k∈Zf(r+k)Pf(r):=\sum_{k\in\mathbb{Z}}f(r+k) has a uniformly bounded number of nonzero terms, so Pf∈Lper∞Pf\in L^\infty_{\mathrm{per}}, and PfPf does not depend on the representative of ff. Set J(f):=m(Pf)J(f):=m(Pf). Then JJ is linear and positive, and it is translation invariant since P(f(⋅−a))=(Pf)(⋅−a)P(f(\mathord{\cdot}-a))=(Pf)(\mathord{\cdot}-a). We claim that

J(1[a,b))=b−afor all a≤b.(35)J(\mathbf{1}_{[a,b)})=b-a \qquad\text{for all } a\leq b. \tag*{(35)}

Indeed, q(t):=J(1[0,t))q(t):=J(\mathbf{1}_{[0,t)}) is additive by linearity and invariance, nonnegative by positivity (hence nondecreasing), and satisfies q(1)=m(1)=1q(1)=m(1)=1 because P1[0,1)=1P\mathbf{1}_{[0,1)}=1. Thus q(k/n)=k/nq(k/n)=k/n for all integers k≥0k\geq0 and n≥1n\geq1, so q(t)=tq(t)=t for all t≥0t\geq0 by monotonicity, and invariance yields (35). By positivity, if ff vanishes outside [a,b)[a,b), then

∣J(f)∣≤∥f∥L∞J(1[a,b))=(b−a)∥f∥L∞.(36)|J(f)|\leq\lVert f\rVert_{L^\infty}J(\mathbf{1}_{[a,b)})=(b-a)\lVert f\rVert_{L^\infty}. \tag*{(36)}

Step 2: The system. For t≥0t\geq0 and u∈L∞(R+;R)u\in L^\infty(\mathbb{R}_+;\mathbb{R}), set Φtu:=J(1[0,t)u)\Phi_tu:=J(\mathbf{1}_{[0,t)}u), where 1[0,t)u\mathbf{1}_{[0,t)}u is extended by zero to R\mathbb{R}. By (36), ∣Φtu∣≤t∥u∥L∞|\Phi_tu|\leq t\lVert u\rVert_{L^\infty}, with equality for u=1u=1 by (35), so κ(t)=t\kappa(t)=t. This proves (i). For t,τ≥0t,\tau\geq0 and w:=u⋄τvw:=u\mathbin{\diamond_\tau}v, one has 1[0,τ+t)w=1[0,τ)u+(1[0,t)v)(⋅−τ)\mathbf{1}_{[0,\tau+t)}w=\mathbf{1}_{[0,\tau)}u+(\mathbf{1}_{[0,t)}v)(\mathord{\cdot}-\tau) almost everywhere. By invariance of JJ, Φτ+tw=Φτu+Φtv\Phi_{\tau+t}w=\Phi_\tau u+\Phi_tv, which is (1) with Tt=Id⁡T_t=\operatorname{Id}.

Step 3: Inputs with small support and non-small output. We claim that there exists a measurable set E⊂[0,1)E\subset[0,1) such that d:=J(1E)−∣E∣≠0d:=J(\mathbf{1}_E)-|E|\neq0. Otherwise, J(f)=∫01fJ(f)=\int_0^1 f for every simple function ff vanishing outside [0,1)[0,1), hence, by uniform density of simple functions and (36), for every f∈L∞f\in L^\infty vanishing outside [0,1)[0,1). Since every f∈Lper∞f\in L^\infty_{\mathrm{per}} satisfies f=P(1[0,1)f)f=P(\mathbf{1}_{[0,1)}f), this would give m(f)=∫01fm(f)=\int_0^1 f for all ff, contradicting (c).

By regularity of the Lebesgue measure, there exist sets In⊂[0,1)I_n\subset[0,1), each a finite disjoint union of intervals [a,b)[a,b), such that An:=E△InA_n:=E\mathbin{\triangle}I_n satisfies ∣An∣→0|A_n|\to0. Set un:=1E−1Inu_n:=\mathbf{1}_E-\mathbf{1}_{I_n}, so that ∣un∣=1An|u_n|=\mathbf{1}_{A_n}. By (35), J(1In)=∣In∣J(\mathbf{1}_{I_n})=|I_n|, so

Φ1un=J(1E)−∣In∣⟶J(1E)−∣E∣=d≠0.(37)\Phi_1u_n=J(\mathbf{1}_E)-|I_n|\longrightarrow J(\mathbf{1}_E)-|E|=d\neq0. \tag*{(37)}

Step 4: Proof of (ii). Here A=0A=0 is bounded, so X−1=X=RX_{-1}=X=\mathbb{R} with equivalent norms, and any B∈L(U,X−1)B\in\mathcal{L}(U,X_{-1}) is the multiplication by some b∈Rb\in\mathbb{R}. An integral representation would thus give ∣Φ1un∣=∣b∫01un∣≤∣b∣∣An∣→0|\Phi_1u_n|=|b\int_0^1u_n|\leq|b||A_n|\to0, contradicting (37).

Step 5: Proof of (iii). Let FF be a Young function and λ>0\lambda>0. Since F(0)=0F(0)=0, ∫01F(∣un∣/λ)=∣An∣F(1/λ)→0\int_0^1F(|u_n|/\lambda)=|A_n|F(1/\lambda)\to0, so ∥un∥F,1≤λ\lVert u_n\rVert_{F,1}\leq\lambda for nn large enough. Hence ∥un∥F,1→0\lVert u_n\rVert_{F,1}\to0, and (34) at t=1t=1 would force Φ1un→0\Phi_1u_n\to0, contradicting (37). □\square

A different separation of zero-class admissibility from Orlicz-heart admissibility, for continuous inputs, appears in [2], Example 4.2.

Research provenance

In June 2025, I gave a course at the EUR MINT 2025 Summer School, Control, Inverse Problems and Spectral Theory, in Toulouse, France. In this course, I wanted to present several classical methods in control theory based on time-iteration arguments, and to formulate them as reusable black boxes. This required, in particular, the introduction of abstract nonlinear control systems (see [8], Section 3.1), for which the case p=∞p=\infty arises naturally. Continuity in time of the solutions was essential to the time-iteration arguments I intended to present. This led me to stumble upon the difficulty of the open case p=∞p=\infty of [18], Problem 2.4.

Throughout 2025 and early 2026, I made several unsuccessful attempts, both unaided and computer-assisted (up to Gemini 3.1 Pro and GPT-5.2), to settle this question, accumulating personal notes on the problem before eventually giving up.

On September 29, 2026, motivated by the launch of the hexagonmath.org website, I made a new attempt. Supplied with my old notes, GPT-6 Pro produced in a single attempt the proofs of Theorem 1.5 and Corollary 1.6, notably by identifying Phillips’ lemma as the key ingredient. The following days, I rewrote this text by hand and with the help of Opus 5.5 to give appropriate credit to prior works and to make the proof easier to understand. On October 2, I became aware of the independent preprint [2] posted on September 30 to arXiv, and revised the manuscript accordingly.

GPT-6 Pro and Opus 5.5 formalized in Lean the statements and proofs of all the numbered results of this write-up, including in particular Theorem 1.5 and Corollary 1.6, as well as the examples and intermediate lemmas/propositions. The formalizations were uploaded to the Palomar registry on October 3, at https://palomar-registry.org/entry?id=PALOMAR-2026-10-03-000001

What a time!

References

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