Non-homogeneous Random Walks: Lyapunov Function Methods for Near-Critical Stochastic Systems: 209 (Cambridge Tracts in Mathematics, Series Number 209) - Image 1

£106.92

Cambridge University Press Non-homogeneous Random Walks: Lyapunov Function Methods for Near-Critical Stochastic Systems: 209 (Cambridge Tracts in Mathematics, Series Number 209)

Name: Non-homogeneous Random Walks: Lyapunov Function Methods for Near-Critical Stochastic Systems: 209 (Cambridge Tracts in Mathematics, Series Number 209)
Brand: Cambridge University Press
Price: 106.92 GBP
Availability: InStock

Applied Mathematics

It has never been this cheap. We have no record of a lower price.

£107 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 48 days · 48 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 48 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £107 (45 days, 93.8%)

Price range: £107 - £127

Price levels: 2 different prices over 48 days

Description

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.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1107026695
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 22 December 2016
Listed Since: 23 April 2016

Barcode

No barcode data available

Cambridge University Press Non-homogeneous Random Walks: Lyapunov Function Methods for Near-Critical Stochastic Systems: 209 (Cambridge Tracts in Mathematics, Series Number 209)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Topics in the Constructive Theory of Countable Markov Chains

Stochastic Stability of Differential Equations: 66 (Stochastic Modelling and Applied Probability, 66)

Stochastic Stability of Differential Equations: 66 (Stochastic Modelling and Applied Probability, 66)

Stability and Stabilization of Nonlinear Systems with Random Structures (Stability and Control: Theory, Methods and Applications)

Stochastic Processes and Long Range Dependence (Springer Series in Operations Research and Financial Engineering)

Continuous-Time Markov Chains and Applications: A Two-Time-Scale Approach: 37 (Stochastic Modelling and Applied Probability, 37)

Stability of Infinite Dimensional Stochastic Differential Equations with Applications: 135 (Monographs and Surveys in Pure and Applied Mathematics)

Stochastic Differential Systems, Stochastic Control Theory and Applications: Proceedings of a Workshop, held at IMA, June 9-19, 1986: 10 (The IMA Volumes in Mathematics and its Applications, 10)

Asymptotic Analyses for Complex Evolutionary Systems with Markov and Semi-Markov Switching Using Approximation Schemes

LMS: 229 Ergodicity Dimensionl Sys (London Mathematical Society Lecture Note Series, Series Number 229)

Stochastic Analysis and Applications 2014: In Honour of Terry Lyons: 100 (Springer Proceedings in Mathematics & Statistics, 100)

Random Dynamical Systems (Springer Monographs in Mathematics)

Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems (Systems & Control: Foundations & Applications)

Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems

Mathematical Methods in Robust Control of Linear Stochastic Systems: 50 (Mathematical Concepts and Methods in Science and Engineering)

Nonlinear Markov Processes and Kinetic Equations: 182 (Cambridge Tracts in Mathematics, Series Number 182)

Random Dynamical Systems (Springer Monographs in Mathematics)

Multidimensional Stochastic Processes as Rough Paths: Theory and Applications (Cambridge Studies in Advanced Mathematics): 120 (Cambridge Studies in Advanced Mathematics, Series Number 120)

Springer Max-Plus Linear Stochastic Systems and Perturbation Analysis

Numerical Methods for Stochastic Control Problems in Continuous Time: 24 (Stochastic Modelling and Applied Probability, 24)

Elements of Stochastic Dynamics

Nonuniform Hyperbolicity - Cambridge University Press Book

General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions (SpringerBriefs in Mathematics)

Stochastic Partial Differential Equations with Lévy Noise: An Evolution Equation Approach: 113 (Encyclopedia of Mathematics and its Applications, Series Number 113)