alphaFeedback

WorksMathematics

Min-plus Bruhat decomposition

AI contributions
Not recorded for this paper
View details

Abstract

We study min-plus Bruhat cells Btrop(n)⊙p⊙Btrop(n)B_{trop}^{(n)} \odot p\odot B_{trop}^{(n)}, where Btrop(n)B_{trop}^{(n)} denotes the set of all upper-triangular matrices over \RR \cup \{\infty\}, and pp is a permutation. It is proved that dim⁡(Btrop(n)⊙p⊙Btrop(n))=n(n+1)2+l(p)\dim (B_{trop}^{(n)} \odot p \odot B_{trop}^{(n)})= \frac{n(n+1)}{2} + l(p), where l(p)l(p) is the length of pp 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 n2n^2) for the highest in Bruhat order permutation p0p_0. Finally, it is shown that for a tropically non-singular matrix AA for at most one permutation pAp_A it can hold A∈Btrop(n)⊙pA⊙Btrop(n)A\in B_{trop}^{(n)}\odot p_A\odot B_{trop}^{(n)}.

Introduction

We consider min-plus algebra over R∞:=R∪{∞}\mathbb{R}_{\infty} := \mathbb{R} \cup\{\infty\} with operations ⊕:=min⁡\oplus:= \min, ⊙:=+\odot:= + (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×nn \times n matrix MM belongs to Bruhat cell M∈B(n)pB(n)M \in B^{(n)}pB^{(n)} for a permutation p∈Snp \in S_n, where B(n)B^{(n)} denotes the set of upper-triangular matrices. When MM is a non-singular matrix, the permutation is unique. We identify pp with the matrix pp whose (i,p(i))(i,p(i))-entries equal 00 for 1≤i≤n1 \le i \le n, and all other entries equal ∞\infty. Chevalley’s theorem [10], [3] states that the closure

B(n)pB(n)‾=⋃p1⪯pB(n)p1B(n)\overline{B^{(n)}pB^{(n)}} = \bigcup_{p_1 \preceq p} B^{(n)}p_1B^{(n)}

where ≺\prec denotes Bruhat order on SnS_n. 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)B_{\mathrm{trop}}^{(n)} the set of all n×nn \times n upper-triangular matrices over R∞\mathbb{R}_{\infty}.

Observe that a min-plus Bruhat cell Btrop(n)⊙p⊙Btrop(n)B_{\mathrm{trop}}^{(n)} \odot p \odot B_{\mathrm{trop}}^{(n)} is a min-plus (or tropical) prevariety [7], [6]. If a min-plus matrix A=b⊙p⊙cA=b\odot p\odot c for some p∈Snp\in S_n and b,c∈Btrop(n)b,c\in B_{\mathrm{trop}}^{(n)}, we say that AA 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=2n=2 the min-plus Bruhat cell Btrop(2)⊙(12)⊙Btrop(2)B_{\mathrm{trop}}^{(2)}\odot(12)\odot B_{\mathrm{trop}}^{(2)} consists exactly of matrices (ai,j)1≤i,j≤2(a_{i,j})_{1\leq i,j\leq2} such that a1,1+a2,2≥a1,2+a2,1a_{1,1}+a_{2,2}\geq a_{1,2}+a_{2,1}.

For a permutation p∈Snp\in S_n by l(p)l(p) denote its length in Coxeter generators (i i+1)(i\ i+1), 1≤i<n1\leq i<n [10] (which equals the number of inversions in pp). In § 2 we prove the following

Theorem 1.1

dim⁡(Btrop(n)⊙p⊙Btrop(n))=n(n+1)2+l(p).\dim\left(B_{\mathrm{trop}}^{(n)}\odot p\odot B_{\mathrm{trop}}^{(n)}\right)=\frac{n(n+1)}{2}+l(p).

In § 3 we study the highest min-plus Bruhat cell Btrop(n)⊙p0⊙Btrop(n)B_{\mathrm{trop}}^{(n)}\odot p_0\odot B_{\mathrm{trop}}^{(n)} where p0=(1 n)(2 n−1)⋯p_0=(1\ n)(2\ n-1)\cdots is the (unique) permutation with the largest possible length l(p0)=n(n−1)2l(p_0)=\frac{n(n-1)}{2}, being the highest in Bruhat order: p≺p0p\prec p_0 for every permutation Sn∋p≠p0S_n\ni p\ne p_0. Theorem 1.1 implies that dim⁡(Btrop(n)⊙p0⊙Btrop(n))=n2\dim\left(B_{\mathrm{trop}}^{(n)}\odot p_0\odot B_{\mathrm{trop}}^{(n)}\right)=n^2. Let A=(ai,j)1≤i,j≤nA=(a_{i,j})_{1\leq i,j\leq n}, ai,j∈Ra_{i,j}\in\mathbb{R} be a finite matrix. Denote

Δq,sk,m:=aq,k+as,m−aq,m−as,k,1≤q<s≤n,1≤k<m≤n.\Delta_{q,s}^{k,m}:=a_{q,k}+a_{s,m}-a_{q,m}-a_{s,k},\quad1\leq q<s\leq n,\quad1\leq k<m\leq n.

Note that Δq,sk,m=0\Delta_{q,s}^{k,m}=0 means that the corresponding 2×22\times2 tropical submatrix of AA is tropically singular (see e.g. [1]). The following theorem provides an explicit description of the cell Btrop(n)⊙p0⊙Btrop(n)∩Rn2B_{\mathrm{trop}}^{(n)}\odot p_0\odot B_{\mathrm{trop}}^{(n)}\cap\mathbb{R}^{n^2} up to a subset of dimension less than n2n^2. Note that not finite matrices constitute a tropical prevariety of dimension less than n2n^2 as well.

Theorem 1.2 i)i) For an n×nn\times n finite matrix A∈Rn2A\in\mathbb{R}^{n^2} if it holds

Δq,sk,m≥0,1≤q<s≤n,1≤k<m≤n,k+s=n+1.(1)\Delta_{q,s}^{k,m}\geq0,\quad1\leq q<s\leq n,\quad1\leq k<m\leq n,\quad k+s=n+1. \tag*{(1)}

then AA admits the following canonical decomposition:

A=(bi,j)1≤i,j≤n⊙p0⊙(ci,j)1≤i,j≤n∈Btrop(n)⊙p0⊙Btrop(n),(2)A=(b_{i,j})_{1\leq i,j\leq n}\odot p_0\odot(c_{i,j})_{1\leq i,j\leq n}\in B_{\mathrm{trop}}^{(n)}\odot p_0\odot B_{\mathrm{trop}}^{(n)}, \tag*{(2)}

where bi,j:=ai,n+1−j−aj,n+1−jb_{i,j}:=a_{i,n+1-j}-a_{j,n+1-j}, ci,j:=an+1−i,jc_{i,j}:=a_{n+1-i,j}, 1≤i≤j≤n1\leq i\leq j\leq n and bi,j=ci,j=∞b_{i,j}=c_{i,j}=\infty, 1≤j<i≤n1\leq j<i\leq n.

ii) Conversely, if A∈Btrop(n)⊙p0⊙Btrop(n)A \in B_{\mathrm{trop}}^{(n)} \odot p_0 \odot B_{\mathrm{trop}}^{(n)} then either all the inequalities (1) are strict:

Δq,sk,m>0,1≤q<s≤n,1≤k<m≤n,k+s=n+1(3)\Delta_{q,s}^{k,m} > 0,\quad1 \le q < s \le n,\quad1 \le k < m \le n,\quad k+s=n+1 \tag*{(3)}

or Δq,sk,m=0\Delta_{q,s}^{k,m}=0 for some $1 \le q < s \le n,$1≤k<m≤n, \$1 \le k < m \le n, k+s=n+1k+s=n+1.

iii) If (3) holds then the canonical decomposition (2) is unique. Namely, if

A=(bi,j′)1≤i,j≤n⊙p0⊙(ci,j′)1≤i,j≤n,bi,i′=0,bi,j′=ci,j′=∞,1≤j<i≤nA=(b'_{i,j})_{1\le i,j\le n}\odot p_0\odot(c'_{i,j})_{1\le i,j\le n},\quad b'_{i,i}=0,\quad b'_{i,j}=c'_{i,j}=\infty,\quad1\le j<i\le n

then bi,j′=bi,jb'_{i,j}=b_{i,j}, ci,j′=ci,jc'_{i,j}=c_{i,j}, 1≤i,j≤n1\le i,j\le n where bi,jb_{i,j}, ci,jc_{i,j} are from (2).

In section 4 for a tropically non-singular (see e.g. [1]) matrix AA we show the uniqueness of a permutation pAp_A (provided that it does exist) such that

A∈Btrop(n)⊙pA⊙Btrop(n).A\in B_{\mathrm{trop}}^{(n)}\odot p_A\odot B_{\mathrm{trop}}^{(n)}.

This is a min-plus analogue of the assertion that

B1(n)p1B1(n)∩B1(n)p2B1(n)=∅,p1≠p2∈Sn.B_1^{(n)}p_1B_1^{(n)}\cap B_1^{(n)}p_2B_1^{(n)}=\varnothing,\quad p_1\ne p_2\in S_n.

We mention that in [9] a min-plus version of Bruhat decomposition was considered for matrices over the semi-ring R∞∪G\mathbb{R}_{\infty}\cup G where GG is a set of ”ghosts” isomorphic to R\mathbb{R} and ”merged” with R\mathbb{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))≤n(n+1)2+l(p).\dim(B_{\mathrm{trop}}^{(n)}\odot p\odot B_{\mathrm{trop}}^{(n)})\le\frac{n(n+1)}{2}+l(p).

Now we denote by B(n)B^{(n)} the set of all upper-triangular n×nn\times n matrices over the field C((t1/∞))\mathbb{C}((t^{1/\infty})) of Newton-Puiseux series of the form ∑i0≤i∈Zαiti/q\sum_{i_0\le i\in\mathbb{Z}}\alpha_i t^{i/q}, αi∈C\alpha_i\in\mathbb{C}, q∈Z≥1q\in\mathbb{Z}_{\ge1}.

We claim that

Btrop(n)⊙p⊙Btrop(n)⊂Trop⁡(B(n)pB(n)),B_{\mathrm{trop}}^{(n)}\odot p\odot B_{\mathrm{trop}}^{(n)}\subset\operatorname{Trop}(B^{(n)}pB^{(n)}),

where Trop⁡\operatorname{Trop} denotes the tropicalization [7], [6]. Indeed, for any matrix

(bi,j)1≤i,j≤n⊙p⊙(ci,j)1≤i,j≤n∈Btrop(n)⊙p⊙Btrop(n)∩(Q∞)n2(b_{i,j})_{1\le i,j\le n}\odot p\odot(c_{i,j})_{1\le i,j\le n}\in B_{\mathrm{trop}}^{(n)}\odot p\odot B_{\mathrm{trop}}^{(n)}\cap(\mathbb{Q}_{\infty})^{n^2}

with bi,j,ci,j∈Q∞b_{i,j},c_{i,j}\in\mathbb{Q}_{\infty} consider (classical) matrices (tbi,j)1≤i,j≤n(t^{b_{i,j}})_{1\le i,j\le n}, (tci,j)1≤i,j≤n(t^{c_{i,j}})_{1\le i,j\le n}. As usually, we agree that t∞:=0t^\infty:=0. Observe that if for a matrix AA over the semi-ring Q∞\mathbb{Q}_{\infty} it holds

A=(bi,j)1≤i,j≤n⊙p⊙(ci,j)1≤i,j≤n(4)A=(b_{i,j})_{1\le i,j\le n}\odot p\odot(c_{i,j})_{1\le i,j\le n} \tag*{(4)}

for some bi,j,ci,j∈R∞b_{i,j}, c_{i,j} \in\mathbb{R}_{\infty} then there exists a solution of (4) for suitable bi,j,ci,j∈Q∞b_{i,j}, c_{i,j} \in\mathbb{Q}_{\infty} since (4) is a system of (classical) linear inequalities. Thus, we obtain the equality

Trop((tbi,j)1≤i,j≤n⋅p⋅(tci,j)1≤i,j≤n)=(bi,j)1≤i,j≤n⊙p⊙(ci,j)1≤i,j≤n,Trop\left((t^{b_{i,j}})_{1\le i,j\le n}\cdot p\cdot(t^{c_{i,j}})_{1\le i,j\le n}\right)=(b_{i,j})_{1\le i,j\le n}\odot p\odot(c_{i,j})_{1\le i,j\le n},

which justifies the claim.

On the other hand, it holds

dim⁡(Trop(Bp(n)B(n)))=dim⁡(Bp(n)B(n))=n(n+1)2+l(p).\dim\left(Trop(B^{(n)}_pB^{(n)})\right)=\dim\left(B^{(n)}_pB^{(n)}\right)=\frac{n(n+1)}{2}+l(p).

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

(ai,j)1≤i,j≤n=(bi,j)1≤i,j≤n⊙p⊙(ci,j)1≤i,j≤n∈Btrop(n)⊙p⊙Btrop(n).(a_{i,j})_{1\le i,j\le n}=(b_{i,j})_{1\le i,j\le n}\odot p\odot(c_{i,j})_{1\le i,j\le n}\in B^{(n)}_{\mathrm{trop}}\odot p\odot B^{(n)}_{\mathrm{trop}}.

It holds

ai,j=min⁡i≤k≤n,1≤p(k)≤j{bi,k+cp(k),j},1≤i,j≤n.a_{i,j}=\min_{\substack{i\le k\le n,\,1\le p(k)\le j}}\{b_{i,k}+c_{p(k),j}\},\quad1\le i,j\le n.

We impose equalities bi,i=0b_{i,i}=0, bi,k=∞b_{i,k}=\infty, 1≤i<k≤n1\le i<k\le n, p(i)<p(k)p(i)<p(k).

Let us construct a min-plus prevariety of entries ai,ja_{i,j} by recursion on n−in-i (simultaneously we construct matrices (bi,j)1≤i,j≤n(b_{i,j})_{1\le i,j\le n}, (ci,j)1≤i,j≤n(c_{i,j})_{1\le i,j\le n}). For the base of recursion i=ni=n we have

an,j=cp(n),j,p(n)≤j≤n,an,q=∞,1≤q<p(n),a_{n,j}=c_{p(n),j},\quad p(n)\le j\le n,\quad a_{n,q}=\infty,\quad1\le q<p(n),

which determines cp(n),jc_{p(n),j}, p(n)≤j≤np(n)\le j\le n for arbitrary an,ja_{n,j}, p(n)≤j≤np(n)\le j\le n.

For the recursive hypothesis assume that for some 1≤i<n1\le i<n for all n≥m>in\ge m>i entries am,r,bm,q,cp(m),ja_{m,r}, b_{m,q}, c_{p(m),j}, 1≤r,q,j≤n1\le r,q,j\le n are already determined, and bm,q<∞b_{m,q}<\infty, m≤qm\le q, p(m)≥p(q)p(m)\ge p(q), cp(m),j<∞c_{p(m),j}<\infty, p(m)≤jp(m)\le j. Let p(m1)<⋯<p(ms)<p(i)p(m_1)<\cdots<p(m_s)<p(i) for m1,…,ms>im_1,\ldots,m_s>i, and p(m)>p(i)p(m)>p(i) for any m>im>i, m∉{m1,…,ms}m\notin\{m_1,\ldots,m_s\}. For q<p(m1)q<p(m_1) it holds ai,q=∞a_{i,q}=\infty. For p(m1)≤q<p(m2)p(m_1)\le q<p(m_2) it holds ai,q=bi,m1+cp(m1),qa_{i,q}=b_{i,m_1}+c_{p(m_1),q}. Therefore, for an arbitrary value of ai,p(m1)<∞a_{i,p(m_1)}<\infty we determine bi,m1:=ai,p(m1)−cp(m1),p(m1)b_{i,m_1}:=a_{i,p(m_1)}-c_{p(m_1),p(m_1)}. This determines also ai,qa_{i,q}, p(m1)<q<p(m2)p(m_1)<q<p(m_2). After that for p(m2)≤q<p(m3)p(m_2)\le q<p(m_3) it holds ai,q=min⁡{bi,m1+cp(m1),q,bi,m2+cp(m2),q}a_{i,q}=\min\{b_{i,m_1}+c_{p(m_1),q}, b_{i,m_2}+c_{p(m_2),q}\}. For an arbitrary value of ai,p(m2)<bi,m1+cp(m1),p(m2)a_{i,p(m_2)}<b_{i,m_1}+c_{p(m_1),p(m_2)} we have ai,p(m2)=bi,m2+cp(m2),p(m2)a_{i,p(m_2)}=b_{i,m_2}+c_{p(m_2),p(m_2)}, which determines bi,m2:=ai,p(m2)−cp(m2),p(m2)b_{i,m_2}:=a_{i,p(m_2)}-c_{p(m_2),p(m_2)}. This also determines ai,qa_{i,q}, p(m2)<q<p(m3)p(m_2)<q<p(m_3). Continuing in this way, we take arbitrary values of ai,p(m1),ai,p(m2),…,ai,p(ms)a_{i,p(m_1)},a_{i,p(m_2)},\ldots,a_{i,p(m_s)} (in suitable semi-infinite intervals), which determine bi,m1,…,bi,msb_{i,m_1},\ldots,b_{i,m_s}, respectively, and ai,qa_{i,q}, 1≤q<p(i)1\le q<p(i). Then for every p(i)≤q≤np(i) \le q \le n it holds

ai,q=min⁡{bi,m1+cp(m1),q,…,bi,ms+cp(ms),q,cp(i),q}.a_{i,q}=\min\{b_{i,m_1}+c_{p(m_1),q},\ldots,b_{i,m_s}+c_{p(m_s),q},c_{p(i),q}\}.

For an arbitrary value of ai,q<min⁡{bi,m1+cp(m1),q,…,bi,ms+cp(ms),q}a_{i,q}<\min\{b_{i,m_1}+c_{p(m_1),q},\ldots,b_{i,m_s}+c_{p(m_s),q}\} it holds ai,q=cp(i),qa_{i,q}=c_{p(i),q}, which determines cp(i),qc_{p(i),q}. This completes the recursive step.

Summarizing the recursive construction, the values of ai,qa_{i,q}, 1≤i≤n1\le i\le n, p(i)≤q≤np(i)\le q\le n were taken arbitrarily (each of them from a semi-infinite interval), in addition, the values of ai,p(m)a_{i,p(m)}, m>im>i, p(m)<p(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))≥n(n+1)2+l(p).\dim(B_{\mathrm{trop}}^{(n)}\odot p\odot B_{\mathrm{trop}}^{(n)})\ge\frac{n(n+1)}{2}+l(p).

□

The highest min-plus Bruhat cell

Proof of Theorem 1.2. i) First assume (1). We prove (2) by induction on n−in-i. For the base of induction i=ni=n we take c1,j:=an,jc_{1,j}:=a_{n,j}, 1≤j≤n1\le j\le n.

For the inductive step assume that (2) and the canonical decomposition are already established for all rows r>ir>i. It holds ai,1=(ai,1−an,1)+an,1=bi,n+c1,1a_{i,1}=(a_{i,1}-a_{n,1})+a_{n,1}=b_{i,n}+c_{1,1}. After that we have

ai,2=min⁡{(ai,1−an,1)+an,2,(ai,2−an−1,2)+an−1,2}=min⁡{bi,n+c1,2,bi,n−1+c2,2},a_{i,2}=\min\{(a_{i,1}-a_{n,1})+a_{n,2},(a_{i,2}-a_{n-1,2})+a_{n-1,2}\}=\min\{b_{i,n}+c_{1,2},b_{i,n-1}+c_{2,2}\},

which is true since Δi,n1,2≥0\Delta_{i,n}^{1,2}\ge0. Similarly, for j≤n−i+1j\le n-i+1 we get

min⁡{bi,n+c1,j,…,bi,n−j+2+cj−1,j,bi,n−j+1+cj,j}=min⁡{ai,1−an,1+an,j,…,ai,j−1−an−j+2,j−1+an−j+2,j,ai,j−an−j+1,j+an−j+1,j}=ai,j,(5)\begin{aligned} \min\{b_{i,n}+c_{1,j},\ldots,b_{i,n-j+2}+c_{j-1,j},b_{i,n-j+1}+c_{j,j}\} ={}&\min\{a_{i,1}-a_{n,1}+a_{n,j},\ldots,\\ & a_{i,j-1}-a_{n-j+2,j-1}+a_{n-j+2,j},a_{i,j}-a_{n-j+1,j}+a_{n-j+1,j}\}=a_{i,j}, \tag*{(5)} \end{aligned}

which is valid because Δi,n1,j, Δi,n−12,j,…,Δi,n−j+2j−1,j≥0\Delta_{i,n}^{1,j},\ \Delta_{i,n-1}^{2,j},\ldots,\Delta_{i,n-j+2}^{j-1,j}\ge0.

For n−i+2≤j≤nn-i+2\le j\le n we have

min⁡{bi,n+c1,j,…,bi,i+1+cn−i,j,bi,i+cn−i+1,j}=min⁡{ai,1−an,1+an,j,…,ai,n−i−ai+1,n−i+ai+1,j,ai,j}=ai,j,(6)\begin{aligned} \min\{b_{i,n}+c_{1,j},\ldots,b_{i,i+1}+c_{n-i,j},b_{i,i}+c_{n-i+1,j}\} ={}&\min\{a_{i,1}-a_{n,1}+a_{n,j},\ldots,\\ & a_{i,n-i}-a_{i+1,n-i}+a_{i+1,j},a_{i,j}\}=a_{i,j}, \tag*{(6)} \end{aligned}

which is true since Δi,n1,j, Δi,n−12,j,…,Δi,i+1n−i,j≥0\Delta_{i,n}^{1,j},\ \Delta_{i,n-1}^{2,j},\ldots,\Delta_{i,i+1}^{n-i,j}\ge0. This completes the inductive step and proves (2) and i).

ii) Now conversely, assume that

A=(bi,j)1≤i,j≤n⊙p0⊙(ci,j)1≤i,j≤n∈Btrop(n)⊙p0⊙Btrop(n),A=(b_{i,j})_{1\le i,j\le n}\odot p_0\odot(c_{i,j})_{1\le i,j\le n}\in B_{\mathrm{trop}}^{(n)}\odot p_0\odot B_{\mathrm{trop}}^{(n)},

for some bi,jb_{i,j}, ci,j∈R∞c_{i,j} \in\mathbb{R}_{\infty}. We conduct the proof by induction on n−in-i. For the base of induction i=ni=n we note that bn,n<∞b_{n,n}<\infty, therefore we replace bn,nb_{n,n} by 00 and c1,jc_{1,j}, 1≤j≤n1\leq j\leq n by c1,j+bn,nc_{1,j}+b_{n,n}. Thus, c1,j=an,jc_{1,j}=a_{n,j}. As the inductive hypothesis assume that for all q>iq>i it holds

Δq,sk,m>0,q<s≤n,1≤k<m≤n,k+s=n+1;\Delta_{q,s}^{k,m}>0,\quad q<s\leq n,\quad1\leq k<m\leq n,\quad k+s=n+1;
bq,r=aq,n+1−r−ar,n+1−r,q≤r≤n;cn+1−q,j=aq,j,n+1−q≤j≤n.b_{q,r}=a_{q,n+1-r}-a_{r,n+1-r},\quad q\leq r\leq n;\quad c_{n+1-q,j}=a_{q,j},\quad n+1-q\leq j\leq n.

At the inductive step we have ai,1=bi,n+c1,1=bi,n+an,1a_{i,1}=b_{i,n}+c_{1,1}=b_{i,n}+a_{n,1}, hence bi,n=ai,1−an,1b_{i,n}=a_{i,1}-a_{n,1}. After that we have

ai,2=min⁡{bi,n+c1,2, bi,n−1+c2,2}=min⁡{ai,1−an,1+an,2, bi,n−1+an−1,2}.a_{i,2}=\min\{b_{i,n}+c_{1,2},\,b_{i,n-1}+c_{2,2}\}=\min\{a_{i,1}-a_{n,1}+a_{n,2},\,b_{i,n-1}+a_{n-1,2}\}.

provided that i≤n−2i\leq n-2 (the case i≥n−1i\geq n-1 will be considered below as a part of a more general setting). Therefore, it holds Δi,n1,2≥0\Delta_{i,n}^{1,2}\geq0. If Δi,n1,2=0\Delta_{i,n}^{1,2}=0, ii) is justified. Suppose that Δi,n1,2>0\Delta_{i,n}^{1,2}>0. Then it holds bi,n−1=ai,2−an−1,2b_{i,n-1}=a_{i,2}-a_{n-1,2}. Continuing in this way by induction on 1≤j≤n−i1\leq j\leq n-i, we obtain that either

  • Δi,un+1−u,r=0\Delta_{i,u}^{n+1-u,r}=0 for some 1≤r<j1\leq r<j, 1≤i<u≤n1\leq i<u\leq n, n+1−u<rn+1-u<r or

  • Δi,un+1−u,r>0\Delta_{i,u}^{n+1-u,r}>0 for all 1≤r<j1\leq r<j, 1≤i<u≤n1\leq i<u\leq n, n+1−u<rn+1-u<r and in addition, bi,n+1−r=ai,r−an+1−rb_{i,n+1-r}=a_{i,r}-a_{n+1-r}.

Then (5) implies that

ai,j=min⁡{(ai,1−an,1)+an,j,…,(ai,j−1−an−j+2,j−1)+an−j+2,j, bi,n−j+1+an−j+1,j}.a_{i,j}=\min\{(a_{i,1}-a_{n,1})+a_{n,j},\ldots,(a_{i,j-1}-a_{n-j+2,j-1})+a_{n-j+2,j},\,b_{i,n-j+1}+a_{n-j+1,j}\}.

Hence it holds Δi,n1,j,Δi,n−12,j,…,Δi,n−j+2j−1,j≥0\Delta_{i,n}^{1,j},\Delta_{i,n-1}^{2,j},\ldots,\Delta_{i,n-j+2}^{j-1,j}\geq0. 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\Delta_{i,n}^{1,j},\Delta_{i,n-1}^{2,j},\ldots,\Delta_{i,n-j+2}^{j-1,j}>0. This entails that bi,n−j+1=ai,j−an−j+1,jb_{i,n-j+1}=a_{i,j}-a_{n-j+1,j}.

Now consider the case j=n−i+1j=n-i+1. Then (5) implies that

ai,n−i+1=min⁡{(ai,1−an,1)+an,n−i+1,…,(ai,n−i−ai+1,n−i)+ai+1,j, bi,i+cn−i+1,n−i+1}.a_{i,n-i+1}=\min\{(a_{i,1}-a_{n,1})+a_{n,n-i+1},\ldots,(a_{i,n-i}-a_{i+1,n-i})+a_{i+1,j},\,b_{i,i}+c_{n-i+1,n-i+1}\}.

Therefore, it holds Δi,n1,n−i+1,…,Δi,i+1n−i,n−i+1≥0\Delta_{i,n}^{1,n-i+1},\ldots,\Delta_{i,i+1}^{n-i,n-i+1}\geq0. 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\Delta_{i,n}^{1,n-i+1},\ldots,\Delta_{i,i+1}^{n-i,n-i+1}>0. Then ai,n−i+1=bi,i+cn−i+1,n−i+1a_{i,n-i+1}=b_{i,i}+c_{n-i+1,n-i+1}. Hence bi,i<∞b_{i,i}<\infty, so we replace bi,ib_{i,i} by 00 and cn−i+1,jc_{n-i+1,j} by cn−i+1,j+bi,ic_{n-i+1,j}+b_{i,i}, n−i+1≤j≤nn-i+1\leq j\leq n. Thus, we obtain that cn−i+1,n−i+1=ai,n−i+1c_{n-i+1,n-i+1}=a_{i,n-i+1}.

Finally, consider the case j≥n−i+2j\geq n-i+2. Then (6) entails that

ai,j=min⁡{(ai,1−ai,n)+an,j,…,(ai,n−i−ai+1,n−i)+ai+1,j, cn−i+1,j}.a_{i,j}=\min\{(a_{i,1}-a_{i,n})+a_{n,j},\ldots,(a_{i,n-i}-a_{i+1,n-i})+a_{i+1,j},\,c_{n-i+1,j}\}.

Arguing as above we obtain that either one of Δi,n1,j,…,Δi,i+1n−i,j\Delta_{i,n}^{1,j},\ldots,\Delta_{i,i+1}^{n-i,j} vanishes, or they all are positive, and in this case it holds cn−i+1,j=ai,jc_{n-i+1,j}=a_{i,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\Delta_{i,m}^{n-i+1,j} never emerges. ✷

Example 3.1 Note that A∈Btrop(n)⊙p0⊙A∈Btrop(n)A \in B_{\mathrm{trop}}^{(n)} \odot p_0 \odot A \in B_{\mathrm{trop}}^{(n)} does not necessarily imply (1) as demonstrates the following example:

A:=(0−10000000)=(0−10∞00∞∞0)⊙p0⊙(000∞01∞∞0)A := \begin{pmatrix} 0 & -1 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{pmatrix} = \begin{pmatrix} 0 & -1 & 0 \\ \infty& 0 & 0 \\ \infty& \infty& 0 \end{pmatrix} \odot p_0 \odot \begin{pmatrix} 0 & 0 & 0 \\ \infty& 0 & 1 \\ \infty& \infty& 0 \end{pmatrix}

in which Δ1,22,3=−1<0\Delta_{1,2}^{2,3}=-1<0.

Uniqueness of a min-plus Bruhat cell for a tropically non-singular matrix

Recall (see [1]) that n×nn \times n matrix AA is tropically non-singular if there exists a (unique) permutation pA∈Snp_A \in S_n such that ∑1≤i≤nai,pA(i)<∑1≤i≤nai,p(i)\sum_{1 \le i \le n} a_{i,p_A(i)} < \sum_{1 \le i \le n} a_{i,p(i)} for any permutation p≠pAp \ne p_A.

Proposition 4.1 For a tropically non-singular matrix AA if A∈Btrop(n)⊙p⊙Btrop(n)A \in B_{\mathrm{trop}}^{(n)} \odot p \odot B_{\mathrm{trop}}^{(n)}, p∈Snp \in S_n then p=pAp=p_A.

Proof. We use the following statement: if A=U⊙VA=U\odot V for some n×nn \times n matrices UU, VV then UU, VV are also tropically non-singular and pA=pU∘pVp_A=p_U\circ p_V (see Proposition 3.4 [8], implicitly one can also find it in [2]). Therefore pA=pp_A=p.

For a classical (not necessarily non-singular) n×nn \times n matrix DD there exists a (unique) permutation pDp_D such that D∈B(n)pDB(n)D \in B^{(n)}p_DB^{(n)}, and if D∈B(n)pB(n)D \in B^{(n)}pB^{(n)} then pD⪯pp_D \preceq p [4], [5]. Is there a tropical analogue of this assertion?

References

  1. [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. [2]P. Butkovic. Simple image set of (max, +) linear mappings. Discrete Appl. Math., 105:73-86, 2000.
  3. [3]W. Fulton. Young tableaux with applications to representation theory and geometry. Cambridge University Press, 1997.
  4. [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.
  5. [5]D. Grigoriev. Additive complexity in directed computations. Theor. Comput. Sci., 19:39-67, 1982.
  6. [6]M. Joswig. Essentials of tropical combinatorics. Graduate Studies in Math., AMS, 219, 2021.DOI
  7. [7]D. Maclagan and B. Sturmfels. Introduction to Tropical Geometry.; volume 161 of Graduate Studies in Mathematics. American Mathematical Society, 2015.
  8. [8]G. Merlet. Semigroups of matrices acting on the max-plus projective space. Linear Alg. Appl., 432:1923-1935, 2010.DOI
  9. [9]A. Niv. Factorization of tropical matrices. J. Algebra Appl., 13, 1350066, 26 pp., 2014.DOI
  10. [10]R. Steinberg. Lectures on Chevalley groups. Yale University Press, 1967.

Paper details

vlnc:W_nnhqybdr
v1 · latestHistory (1)

published · Fresh — added to the Hub within the last 30 days

added ·

Usage

views · 0

downloads · 0

A view counts once per browser per day, a download each time the PDF is requested.

CC BY 4.0

Original source

  • Mathematics

Not recorded for this paper · View statement →

Looking for related papers…
Contents