Products of Irreducible Random Matrices in the (Max, +) Algebra

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Products of irreducible random matrices in the (Max,+) Algebra

We consider the recursive equation “x(n + 1) = A(n) ⊗ x(n)” where x(n + 1) and x(n) are Rk-valued vectors and A(n) is an irreducible random matrix of size k × k. The matrix-vector multiplication in the (max,+) algebra is defined by (A(n) ⊗ x(n))i = maxj(Aij(n) + xj(n)). This type of equation can be used to represent the evolution of Stochastic Event Graphs which include cyclic Jackson Networks,...

متن کامل

Products of Irreducible Random Matrices in the ( max , + ) Algebra 1

We consider the recursive equation \x(n + 1) = A(n) x(n)" where x(n + 1) and x(n) are R k-valued vectors and A(n) is an irreducible random matrix of size k k. The matrix-vector multiplication in the (max,+) algebra is deened by (A(n) x(n)) i = max j (A ij (n) + x j (n)). This type of equation can be used to represent the evolution of Stochastic Event Graphs which include cyclic Jackson Networks...

متن کامل

Products of Irreducible Random Matrices in the (Max,+) Algebra - Part I

The study of networks with synchronization, and more particularly of Stochastic Event Graphs has raised an interest for products of random matrices in the (Max; +) algebra. We consider a general model of type \x(n + 1) = A(n)x(n)" where x(n + 1) and x(n) are IR J-valued vectors and A(n) is an irreducible random matrix of size J J. The exogeneous sequence fA(n); n 2 INg is i.i.d or more generall...

متن کامل

Memory Loss Property for Products of Random Matrices in the Max-Plus Algebra

Products of random matrices in the max-plus algebra are used as a model for a class of discrete event dynamical systems. This can model a wide range of systems including train or queuing networks, job-shop, timed digital circuits or parallel processing systems. Some stability results have been proved under the so-called memory loss property. When the random matrices are i.i.d, we prove that the...

متن کامل

Memory loss property for products of random matrices in the (max, +) algebra

Products of random matrices in the (max,+) algebra are used as a model for a class of discrete event dynamical systems. J. Mairesse proved that such a system couples in finite times with a unique stationary regime if and only if it has a memory loss property. When the system is driven by an i.i.d sequence, we prove that the memory loss property is generic in the following sense : if it is not f...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Advances in Applied Probability

سال: 1997

ISSN: 0001-8678,1475-6064

DOI: 10.2307/1428012