Chaotic Transitions In Deterministic And Stochastic Dynamical Systems


Download Chaotic Transitions In Deterministic And Stochastic Dynamical Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Chaotic Transitions In Deterministic And Stochastic Dynamical Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Chaotic Transitions in Deterministic and Stochastic Dynamical Systems


Chaotic Transitions in Deterministic and Stochastic Dynamical Systems

Author: Emil Simiu

language: en

Publisher: Princeton University Press

Release Date: 2002


DOWNLOAD





This text develops a unified treatment of deterministic and stochastic systems that extends the Melnikov method to physically realisable stochastic planar systems.

Chaotic Transitions in Deterministic and Stochastic Dynamical Systems


Chaotic Transitions in Deterministic and Stochastic Dynamical Systems

Author: Emil Simiu

language: en

Publisher: Princeton University Press

Release Date: 2014-09-08


DOWNLOAD





The classical Melnikov method provides information on the behavior of deterministic planar systems that may exhibit transitions, i.e. escapes from and captures into preferred regions of phase space. This book develops a unified treatment of deterministic and stochastic systems that extends the applicability of the Melnikov method to physically realizable stochastic planar systems with additive, state-dependent, white, colored, or dichotomous noise. The extended Melnikov method yields the novel result that motions with transitions are chaotic regardless of whether the excitation is deterministic or stochastic. It explains the role in the occurrence of transitions of the characteristics of the system and its deterministic or stochastic excitation, and is a powerful modeling and identification tool. The book is designed primarily for readers interested in applications. The level of preparation required corresponds to the equivalent of a first-year graduate course in applied mathematics. No previous exposure to dynamical systems theory or the theory of stochastic processes is required. The theoretical prerequisites and developments are presented in the first part of the book. The second part of the book is devoted to applications, ranging from physics to mechanical engineering, naval architecture, oceanography, nonlinear control, stochastic resonance, and neurophysiology.

A Dynamical Systems Theory of Thermodynamics


A Dynamical Systems Theory of Thermodynamics

Author: Wassim M. Haddad

language: en

Publisher: Princeton University Press

Release Date: 2019-06-04


DOWNLOAD





A brand-new conceptual look at dynamical thermodynamics This book merges the two universalisms of thermodynamics and dynamical systems theory in a single compendium, with the latter providing an ideal language for the former, to develop a new and unique framework for dynamical thermodynamics. In particular, the book uses system-theoretic ideas to bring coherence, clarity, and precision to an important and poorly understood classical area of science. The dynamical systems formalism captures all of the key aspects of thermodynamics, including its fundamental laws, while providing a mathematically rigorous formulation for thermodynamical systems out of equilibrium by unifying the theory of mechanics with that of classical thermodynamics. This book includes topics on nonequilibrium irreversible thermodynamics, Boltzmann thermodynamics, mass-action kinetics and chemical reactions, finite-time thermodynamics, thermodynamic critical phenomena with continuous and discontinuous phase transitions, information theory, continuum and stochastic thermodynamics, and relativistic thermodynamics. A Dynamical Systems Theory of Thermodynamics develops a postmodern theory of thermodynamics as part of mathematical dynamical systems theory. The book establishes a clear nexus between thermodynamic irreversibility, the second law of thermodynamics, and the arrow of time to further unify discreteness and continuity, indeterminism and determinism, and quantum mechanics and general relativity in the pursuit of understanding the most fundamental property of the universe—the entropic arrow of time.