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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Non-Homogeneous Random Walks

Non-Homogeneous Random Walks

Menshikov, Mikhail
Popov, Serguei
Wade, Andrew

Hardcover

Series: Cambridge Tracts in Mathematics, Book 209

Probability & Statistics

ISBN10: 1107026695
ISBN13: 9781107026698
Publisher: Cambridge University Press
Published: Dec 22 2016
Pages: 382
Weight: 1.61
Height: 1.00 Width: 6.00 Depth: 9.00
Language: English
Stochastic systems provide powerful abstract models for a variety of important real-life applications: for example, power supply, traffic flow, data transmission. They (and the real systems they model) are often subject to phase transitions, behaving in one way when a parameter is below a certain critical value, then switching behaviour as soon as that critical value is reached. In a real system, we do not necessarily have control over all the parameter values, so it is important to know how to find critical points and to understand system behaviour near these points. This book is a modern presentation of the 'semimartingale' or 'Lyapunov function' method applied to near-critical stochastic systems, exemplified by non-homogeneous random walks. Applications treat near-critical stochastic systems and range across modern probability theory from stochastic billiards models to interacting particle systems. Spatially non-homogeneous random walks are explored in depth, as they provide prototypical near-critical systems.

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