We study min-plus Bruhat cells Btrop(n)⊙p⊙Btrop(n), where Btrop(n) denotes the set of all upper-triangular matrices over \RR \cup \{\infty\}, and p is a permutation. It is proved that dim(Btrop(n)⊙p⊙Btrop(n))=2n(n+1)+l(p), where l(p) is the length of p in Coxeter generators. Also we provide an explicit description of the cell B_{trop}^{(n)}(\RR) \odot p_0\odot B_{trop}^{(n)}(\RR) (up to a subset of dimension less than n2) for the highest in Bruhat order permutation p0. Finally, it is shown that for a tropically non-singular matrix A for at most one permutation pA it can hold A∈Btrop(n)⊙pA⊙Btrop(n).
Introduction
We consider min-plus algebra over R∞:=R∪{∞} with operations ⊕:=min, ⊙:=+ (one can find basic concepts of min-plus algebra in [7], [6]). Our goal is to study a min-plus analogue of Bruhat decomposition. Recall that the latter in classical algebra states that every n×n matrix M belongs to Bruhat cell M∈B(n)pB(n) for a permutation p∈Sn, where B(n) denotes the set of upper-triangular matrices. When M is a non-singular matrix, the permutation is unique. We identify p with the matrix p whose (i,p(i))-entries equal 0 for 1≤i≤n, and all other entries equal ∞. Chevalley’s theorem [10], [3] states that the closure
B(n)pB(n)=p1⪯p⋃B(n)p1B(n)
where ≺ denotes Bruhat order on Sn. Originally, Chevalley’s theorem provided this equality after restricting to non-singular matrices, the extension to arbitrary matrices one can find in [4], [5].
Denote by Btrop(n) the set of all n×n upper-triangular matrices over R∞.
Observe that a min-plus Bruhat cell Btrop(n)⊙p⊙Btrop(n) is a min-plus (or tropical) prevariety [7], [6]. If a min-plus matrix A=b⊙p⊙c for some p∈Sn and b,c∈Btrop(n), we say that A admits a min-plus Bruhat decomposition. Note that not every min-plus matrix admits a min-plus Bruhat decomposition. For example, one can easily see that for n=2 the min-plus Bruhat cell Btrop(2)⊙(12)⊙Btrop(2) consists exactly of matrices (ai,j)1≤i,j≤2 such that a1,1+a2,2≥a1,2+a2,1.
For a permutation p∈Sn by l(p) denote its length in Coxeter generators (ii+1), 1≤i<n[10] (which equals the number of inversions in p). In § 2 we prove the following
Theorem 1.1
dim(Btrop(n)⊙p⊙Btrop(n))=2n(n+1)+l(p).
In § 3 we study the highest min-plus Bruhat cell Btrop(n)⊙p0⊙Btrop(n) where p0=(1n)(2n−1)⋯ is the (unique) permutation with the largest possible length l(p0)=2n(n−1), being the highest in Bruhat order: p≺p0 for every permutation Sn∋p=p0. Theorem 1.1 implies that dim(Btrop(n)⊙p0⊙Btrop(n))=n2. Let A=(ai,j)1≤i,j≤n, ai,j∈R be a finite matrix. Denote
Note that Δq,sk,m=0 means that the corresponding 2×2 tropical submatrix of A is tropically singular (see e.g. [1]). The following theorem provides an explicit description of the cell Btrop(n)⊙p0⊙Btrop(n)∩Rn2 up to a subset of dimension less than n2. Note that not finite matrices constitute a tropical prevariety of dimension less than n2 as well.
Theorem 1.2i)For an n×n finite matrix A∈Rn2 if it holds
Δq,sk,m≥0,1≤q<s≤n,1≤k<m≤n,k+s=n+1.(1)
then A admits the following canonical decomposition:
then bi,j′=bi,j, ci,j′=ci,j, 1≤i,j≤n where bi,j, ci,j are from (2).
In section 4 for a tropically non-singular (see e.g. [1]) matrix A we show the uniqueness of a permutation pA (provided that it does exist) such that
A∈Btrop(n)⊙pA⊙Btrop(n).
This is a min-plus analogue of the assertion that
B1(n)p1B1(n)∩B1(n)p2B1(n)=∅,p1=p2∈Sn.
We mention that in [9] a min-plus version of Bruhat decomposition was considered for matrices over the semi-ring R∞∪G where G is a set of ”ghosts” isomorphic to R and ”merged” with R, so that between any pair of ”adjacent” real numbers a ”ghost” is inserted.
Dimension of a min-plus Bruhat cell
Proof of Theorem 1.1. First we prove the upper bound on the dimension
dim(Btrop(n)⊙p⊙Btrop(n))≤2n(n+1)+l(p).
Now we denote by B(n) the set of all upper-triangular n×n matrices over the field C((t1/∞)) of Newton-Puiseux series of the form ∑i0≤i∈Zαiti/q, αi∈C, q∈Z≥1.
We claim that
Btrop(n)⊙p⊙Btrop(n)⊂Trop(B(n)pB(n)),
where Trop denotes the tropicalization [7], [6]. Indeed, for any matrix
with bi,j,ci,j∈Q∞ consider (classical) matrices (tbi,j)1≤i,j≤n, (tci,j)1≤i,j≤n. As usually, we agree that t∞:=0. Observe that if for a matrix A over the semi-ring Q∞ it holds
A=(bi,j)1≤i,j≤n⊙p⊙(ci,j)1≤i,j≤n(4)
for some bi,j,ci,j∈R∞ then there exists a solution of (4) for suitable bi,j,ci,j∈Q∞ since (4) is a system of (classical) linear inequalities. Thus, we obtain the equality
For the first equality see [7, 6]. For the second equality see [10, 3] (one can deduce it by induction on Bruhat order from Chevalley’s theorem, see also [4, 5]). Together with the claim above this implies the upper bound on the dimension.
Now we proceed to the lower bound. We consider the equality
We impose equalities bi,i=0, bi,k=∞, 1≤i<k≤n, p(i)<p(k).
Let us construct a min-plus prevariety of entries ai,j by recursion on n−i (simultaneously we construct matrices (bi,j)1≤i,j≤n, (ci,j)1≤i,j≤n). For the base of recursion i=n we have
an,j=cp(n),j,p(n)≤j≤n,an,q=∞,1≤q<p(n),
which determines cp(n),j, p(n)≤j≤n for arbitrary an,j, p(n)≤j≤n.
For the recursive hypothesis assume that for some 1≤i<n for all n≥m>i entries am,r,bm,q,cp(m),j, 1≤r,q,j≤n are already determined, and bm,q<∞, m≤q, p(m)≥p(q), cp(m),j<∞, p(m)≤j. Let p(m1)<⋯<p(ms)<p(i) for m1,…,ms>i, and p(m)>p(i) for any m>i, m∈/{m1,…,ms}. For q<p(m1) it holds ai,q=∞. For p(m1)≤q<p(m2) it holds ai,q=bi,m1+cp(m1),q. Therefore, for an arbitrary value of ai,p(m1)<∞ we determine bi,m1:=ai,p(m1)−cp(m1),p(m1). This determines also ai,q, p(m1)<q<p(m2). After that for p(m2)≤q<p(m3) it holds ai,q=min{bi,m1+cp(m1),q,bi,m2+cp(m2),q}. For an arbitrary value of ai,p(m2)<bi,m1+cp(m1),p(m2) we have ai,p(m2)=bi,m2+cp(m2),p(m2), which determines bi,m2:=ai,p(m2)−cp(m2),p(m2). This also determines ai,q, p(m2)<q<p(m3). Continuing in this way, we take arbitrary values of ai,p(m1),ai,p(m2),…,ai,p(ms) (in suitable semi-infinite intervals), which determine bi,m1,…,bi,ms, respectively, and ai,q, 1≤q<p(i). Then for every p(i)≤q≤n it holds
For an arbitrary value of ai,q<min{bi,m1+cp(m1),q,…,bi,ms+cp(ms),q} it holds ai,q=cp(i),q, which determines cp(i),q. This completes the recursive step.
Summarizing the recursive construction, the values of ai,q, 1≤i≤n, p(i)≤q≤n were taken arbitrarily (each of them from a semi-infinite interval), in addition, the values of ai,p(m), m>i, p(m)<p(i) also were taken arbitrarily (each of them from a semi-infinite interval). This provides the lower bound
dim(Btrop(n)⊙p⊙Btrop(n))≥2n(n+1)+l(p).
□
The highest min-plus Bruhat cell
Proof of Theorem 1.2. i) First assume (1). We prove (2) by induction on n−i. For the base of induction i=n we take c1,j:=an,j, 1≤j≤n.
For the inductive step assume that (2) and the canonical decomposition are already established for all rows r>i. It holds ai,1=(ai,1−an,1)+an,1=bi,n+c1,1. After that we have
for some bi,j, ci,j∈R∞. We conduct the proof by induction on n−i. For the base of induction i=n we note that bn,n<∞, therefore we replace bn,n by 0 and c1,j, 1≤j≤n by c1,j+bn,n. Thus, c1,j=an,j. As the inductive hypothesis assume that for all q>i it holds
provided that i≤n−2 (the case i≥n−1 will be considered below as a part of a more general setting). Therefore, it holds Δi,n1,2≥0. If Δi,n1,2=0, ii) is justified. Suppose that Δi,n1,2>0. Then it holds bi,n−1=ai,2−an−1,2. Continuing in this way by induction on 1≤j≤n−i, we obtain that either
Δi,un+1−u,r=0 for some 1≤r<j, 1≤i<u≤n, n+1−u<r or
Δi,un+1−u,r>0 for all 1≤r<j, 1≤i<u≤n, n+1−u<r and in addition, bi,n+1−r=ai,r−an+1−r.
Hence it holds Δi,n1,j,Δi,n−12,j,…,Δi,n−j+2j−1,j≥0. If one of the latter expressions vanishes then ii) is justified. Suppose that Δi,n1,j,Δi,n−12,j,…,Δi,n−j+2j−1,j>0. This entails that bi,n−j+1=ai,j−an−j+1,j.
Now consider the case j=n−i+1. Then (5) implies that
Therefore, it holds Δi,n1,n−i+1,…,Δi,i+1n−i,n−i+1≥0. Again, if one of the latter expressions vanishes then ii) is justified. Suppose that Δi,n1,n−i+1,…,Δi,i+1n−i,n−i+1>0. Then ai,n−i+1=bi,i+cn−i+1,n−i+1. Hence bi,i<∞, so we replace bi,i by 0 and cn−i+1,j by cn−i+1,j+bi,i, n−i+1≤j≤n. Thus, we obtain that cn−i+1,n−i+1=ai,n−i+1.
Finally, consider the case j≥n−i+2. Then (6) entails that
Arguing as above we obtain that either one of Δi,n1,j,…,Δi,i+1n−i,j vanishes, or they all are positive, and in this case it holds cn−i+1,j=ai,j. This completes the inductive step and the proof of ii).
Observe that to prove iii) one can follow the proof of ii), taking into account that the case of vanishing one of Δi,mn−i+1,j never emerges. ✷
Example 3.1 Note that A∈Btrop(n)⊙p0⊙A∈Btrop(n) does not necessarily imply (1) as demonstrates the following example:
Uniqueness of a min-plus Bruhat cell for a tropically non-singular matrix
Recall (see [1]) that n×n matrix A is tropically non-singular if there exists a (unique) permutation pA∈Sn such that ∑1≤i≤nai,pA(i)<∑1≤i≤nai,p(i) for any permutation p=pA.
Proposition 4.1 For a tropically non-singular matrix A if A∈Btrop(n)⊙p⊙Btrop(n), p∈Sn then p=pA.
Proof. We use the following statement: if A=U⊙V for some n×n matrices U, V then U, V are also tropically non-singular and pA=pU∘pV (see Proposition 3.4 [8], implicitly one can also find it in [2]). Therefore pA=p.
For a classical (not necessarily non-singular) n×n matrix D there exists a (unique) permutation pD such that D∈B(n)pDB(n), and if D∈B(n)pB(n) then pD⪯p[4], [5]. Is there a tropical analogue of this assertion?
References
[1]M. Akian, S. Gaubert and A. Guterman. Linear independence over tropical semirings and beyond. Tropical and idempotent mathematics, Contemp. Math., 495:1-38, Amer. Math. Soc., Providence, RI, 2009.arxiv.org/abs/0812.3496
[2]P. Butkovic. Simple image set of (max, +) linear mappings. Discrete Appl. Math., 105:73-86, 2000.
[3]W. Fulton. Young tableaux with applications to representation theory and geometry. Cambridge University Press, 1997.
[4]D. Grigoriev. An analogue of the Bruhat decomposition for the closure of the cone of a classical Chevalley group series. Soviet Math. Dokl., 23:393-397, 1981.
[6]M. Joswig. Essentials of tropical combinatorics. Graduate Studies in Math., AMS, 219, 2021.DOI
[7]D. Maclagan and B. Sturmfels. Introduction to Tropical Geometry.; volume 161 of Graduate Studies in Mathematics. American Mathematical Society, 2015.
[8]G. Merlet. Semigroups of matrices acting on the max-plus projective space. Linear Alg. Appl., 432:1923-1935, 2010.DOI
[9]A. Niv. Factorization of tropical matrices. J. Algebra Appl., 13, 1350066, 26 pp., 2014.DOI
[10]R. Steinberg. Lectures on Chevalley groups. Yale University Press, 1967.