Nonlinear Markov Processes and Kinetic Equations: 182 (Cambridge Tracts in Mathematics, Series Number 182) - Image 1

£40.41

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

Name: Nonlinear Markov Processes and Kinetic Equations: 182 (Cambridge Tracts in Mathematics, Series Number 182)
Brand: Cambridge University Press
Price: 40.41 GBP
Availability: InStock

Applied Mathematics

This is the usual price. Wait for it to drop, or tell us your number.

£40 today · usual range £0–£0 · best ever £30

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 579 days • 579 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 579 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £54-62 (256 days, 44.2%)

Price range: £30 - £70

Price levels: 5 price ranges over 579 days

Description

A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differential equation with the specific feature of preserving positivity. This feature distinguishes it from general vector-valued differential equations and yields a natural link with probability, both in interpreting results and in the tools of analysis. This brilliant book, the first devoted to the area, develops this interplay between probability and analysis. After systematically presenting both analytic and probabilistic techniques, the author uses probability to obtain deeper insight into nonlinear dynamics, and analysis to tackle difficult problems in the description of random and chaotic behavior. The book addresses the most fundamental questions in the theory of nonlinear Markov processes: existence, uniqueness, constructions, approximation schemes, regularity, law of large numbers and probabilistic interpretations. Its careful exposition makes the book accessible to researchers and graduate students in stochastic and functional analysis with applications to mathematical physics and systems biology.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 0521111846
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 15 July 2010
Listed Since: 26 November 2009

Barcode

No barcode data available

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

This is the usual price. Wait for it to drop, or tell us your number.

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

Markov Chains on Metric Spaces: A Short Course (Universitext)

Markov Processes for Stochastic Modeling: 6 (Stochastic Modeling Series)

Markov Processes: Characterization and Convergence (Wiley Series in Probability and Statistics)

Markov Processes (Advances in Applied Mathematics)

Markov Processes for Stochastic Modeling

Stationary Processes and Discrete Parameter Markov Processes: 293 (Graduate Texts in Mathematics, 293)

Markov Processes, Structure and Asymptotic Behavior: Structure and Asymptotic Behavior: 184 (Grundlehren der mathematischen Wissenschaften, 184)

Continuous Time Markov Processes: An Introduction (Graduate Studies in Mathematics)

Asymptotic Properties of Permanental Sequences: Related to Birth and Death Processes and Autoregressive Gaussian Sequences (SpringerBriefs in Probability and Mathematical Statistics)

Boundary Value Problems and Markov Processes: Functional Analysis Methods for Markov Processes: 1499 (Lecture Notes in Mathematics, 1499)

Invariant Probabilities of Transition Functions: 44 (Probability and Its Applications)

Large Deviations for Stochastic Processes (Mathematical Surveys and Monographs)

Two-Dimensional Random Walk: From Path Counting to Random Interlacements (Institute of Mathematical Statistics Textbooks)

Probability and Statistics by Example: II: Markov Chains: A Primer in Random Processes and their Applications

Invariant Probabilities of Transition Functions: 44 (Probability and Its Applications)

Large Deviations for Stochastic Processes (Mathematical Surveys & Monographs)

Stochastic Processes and Applications: Diffusion Processes, the Fokker-Planck and Langevin Equations: 60 (Texts in Applied Mathematics, 60)

Functional Analytic Techniques for Diffusion Processes (Springer Monographs in Mathematics)

Functional Analytic Techniques for Diffusion Processes (Springer Monographs in Mathematics)

Ergodicity of Markov Processes via Nonstandard Analysis (Memoirs of the American Mathematical Society)

Markov Processes, Brownian Motion, and Time Symmetry: 249 (Grundlehren der mathematischen Wissenschaften, 249)

Generators of Markov Chains: From a Walk in the Interior to a Dance on the Boundary: 190 (Cambridge Studies in Advanced Mathematics, Series Number 190)

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