Fr. 189.00

Ergodic Theory, Open Dynamics, and Coherent Structures

English · Hardback

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Description

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This book is comprised of selected research articles developed from a workshop on Ergodic Theory, Probabilistic Methods and Applications, held in April 2012 at the Banff International Research Station. It contains contributions from world leading experts in ergodic theory, numerical dynamical systems, molecular dynamics and ocean/atmosphere dynamics, nonequilibrium statistical mechanics. The volume will serve as a valuable reference for mathematicians, physicists, engineers, biologists and climate scientists, who currently use, or wish to learn how to use, probabilistic techniques to cope with dynamical models that display open or non-equilibrium behavior.

List of contents

1. Nonautonomous flows as open dynamical systems: characterising escape rates and time-varying boundaries.- 2. Eigenvalues of transfer operators for dynamical systems with holes.- 3. Periodic points, escape rates and escape measures.- 4. A multi-time step method to compute optical flow with scientific priors for observations of a fluidic system.- 5. Numerical approximation of conditionally invariant measures via maximum entropy.- 6. Lebesgue ergodicity of a dissipative subtractive algorithm.- 7. Improved estimates of survival probabilities via isospectral transformations.- 8. Dispersing billiards with small holes.- 9. Almost-invariant and finite-time coherent sets: directionality, duration, and diffusion.- Return-time statistics, hitting-time statistics, and inducing.

Summary

This book is comprised of selected research articles developed from a workshop on Ergodic Theory, Probabilistic Methods and Applications, held in April 2012 at the Banff International Research Station. It contains contributions from world leading experts in ergodic theory, numerical dynamical systems, molecular dynamics and ocean/atmosphere dynamics, nonequilibrium statistical mechanics. The volume will serve as a valuable reference for mathematicians, physicists, engineers, biologists and climate scientists, who currently use, or wish to learn how to use, probabilistic techniques to cope with dynamical models that display open or non-equilibrium behavior.

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