{ "id": "math/0607406", "version": "v1", "published": "2006-07-18T05:33:02.000Z", "updated": "2006-07-18T05:33:02.000Z", "title": "Law of Large Numbers for products of random matrices with coefficients in the max-plus semi-ring", "authors": [ "Glenn Merlet" ], "categories": [ "math.PR" ], "abstract": "We analyze the asymptotic behavior of random variables $x(n,x\\_0)$ defined by $x(0,x\\_0)=x\\_0$ and $x(n+1,x\\_0)=A(n)x(n,x\\_0)$, where $\\sAn$ is a stationary and ergodic sequence of random matrices with entries in the semi-ring \\mbox{$\\R\\cup\\{-\\infty\\}$} whose addition is the $\\max$ and whose multiplication is $+$. Such sequences modelize a large class of discrete event systems, among which timed event graphs, 1-bounded Petri nets, some queuing networks, train or computer networks. We give necessary conditions for $(\\frac{1}{n}x(n,x\\_0))\\_{n\\in\\N}$ to converge almost surely. Then, we prove a general scheme to give partial converse theorems. When $\\max\\_{A\\_{ij}(0)\\neq -\\infty}|A\\_{ij}(0)|$ is integrable, it allows us: - to give a necessary and sufficient condition for the convergence of $(\\frac{1}{n}x(n,0))\\_{n\\in\\N}$ when the sequence $(A(n))\\_{n\\in\\N}$ is i.i.d., - to prove that, if $(A(n) )\\_{n\\in\\N}$ satisfy a condition of reinforced ergodicity and a condition of fixed structure (i.e. $\\P(A\\_{ij}(0)=-\\infty)\\in\\{0,1\\}$), then $(\\frac{1}{n}x(n,0))\\_{n\\in\\N}$ converges almost-surely, - and to reprove the convergence of $(\\frac{1}{n}x(n,0))\\_{n\\in\\N}$ if the diagonal entries are never $-\\infty$.", "revisions": [ { "version": "v1", "updated": "2006-07-18T05:33:02.000Z" } ], "analyses": { "subjects": [ "60F15", "90B15", "93C65", "93E15" ], "keywords": [ "random matrices", "large numbers", "max-plus semi-ring", "coefficients", "partial converse theorems" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2006math......7406M" } } }