Ergodicity for Infinite Dimensional Systems

Ergodicity for Infinite Dimensional Systems PDF Author: Giuseppe Da Prato
Publisher: Cambridge University Press
ISBN: 0521579007
Category : Mathematics
Languages : en
Pages : 355

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Book Description
This is the only book on stochastic modelling of infinite dimensional dynamical systems.

Ergodicity for Infinite Dimensional Systems

Ergodicity for Infinite Dimensional Systems PDF Author: Giuseppe Da Prato
Publisher: Cambridge University Press
ISBN: 0521579007
Category : Mathematics
Languages : en
Pages : 355

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Book Description
This is the only book on stochastic modelling of infinite dimensional dynamical systems.

Ergodicity for Infinite Dimensional Systems

Ergodicity for Infinite Dimensional Systems PDF Author: Giuseppe Da Prato
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Ergodicity for Infinite Dimensional Systems

Ergodicity for Infinite Dimensional Systems PDF Author: Giuseppe Da Prato
Publisher:
ISBN:
Category :
Languages : en
Pages : 339

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Book Description


An Introduction to Infinite-Dimensional Analysis

An Introduction to Infinite-Dimensional Analysis PDF Author: Giuseppe Da Prato
Publisher: Springer Science & Business Media
ISBN: 3540290214
Category : Mathematics
Languages : en
Pages : 217

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Book Description
Based on well-known lectures given at Scuola Normale Superiore in Pisa, this book introduces analysis in a separable Hilbert space of infinite dimension. It starts from the definition of Gaussian measures in Hilbert spaces, concepts such as the Cameron-Martin formula, Brownian motion and Wiener integral are introduced in a simple way. These concepts are then used to illustrate basic stochastic dynamical systems and Markov semi-groups, paying attention to their long-time behavior.

Mathematical Structures of Ergodicity and Chaos in Population Dynamics

Mathematical Structures of Ergodicity and Chaos in Population Dynamics PDF Author: Paweł J. Mitkowski
Publisher: Springer Nature
ISBN: 3030576787
Category : Computers
Languages : en
Pages : 105

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Book Description
This book concerns issues related to biomathematics, medicine, or cybernetics as practiced by engineers. Considered population dynamics models are still in the interest of researchers, and even this interest is increasing, especially now in the time of SARS-CoV-2 coronavirus pandemic, when models are intensively studied in order to help predict its behaviour within human population. The structures of population dynamics models and practical methods of finding their solutions are discussed. Finally, the hypothesis of the existence of non-trivial ergodic properties of the model of erythropoietic response dynamics formulated by A. Lasota in the form of delay differential equation with unimodal feedback is analysed. The research can be compared with actual medical data, as well as shows that the structures of population models can reflect the dynamic structures of reality.

Stochastic Optimal Control in Infinite Dimension

Stochastic Optimal Control in Infinite Dimension PDF Author: Giorgio Fabbri
Publisher: Springer
ISBN: 3319530674
Category : Mathematics
Languages : en
Pages : 928

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Book Description
Providing an introduction to stochastic optimal control in infinite dimension, this book gives a complete account of the theory of second-order HJB equations in infinite-dimensional Hilbert spaces, focusing on its applicability to associated stochastic optimal control problems. It features a general introduction to optimal stochastic control, including basic results (e.g. the dynamic programming principle) with proofs, and provides examples of applications. A complete and up-to-date exposition of the existing theory of viscosity solutions and regular solutions of second-order HJB equations in Hilbert spaces is given, together with an extensive survey of other methods, with a full bibliography. In particular, Chapter 6, written by M. Fuhrman and G. Tessitore, surveys the theory of regular solutions of HJB equations arising in infinite-dimensional stochastic control, via BSDEs. The book is of interest to both pure and applied researchers working in the control theory of stochastic PDEs, and in PDEs in infinite dimension. Readers from other fields who want to learn the basic theory will also find it useful. The prerequisites are: standard functional analysis, the theory of semigroups of operators and its use in the study of PDEs, some knowledge of the dynamic programming approach to stochastic optimal control problems in finite dimension, and the basics of stochastic analysis and stochastic equations in infinite-dimensional spaces.

Ergodic Theory

Ergodic Theory PDF Author: I. P. Cornfeld
Publisher: Springer Science & Business Media
ISBN: 1461569273
Category : Mathematics
Languages : en
Pages : 487

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Book Description
Ergodic theory is one of the few branches of mathematics which has changed radically during the last two decades. Before this period, with a small number of exceptions, ergodic theory dealt primarily with averaging problems and general qualitative questions, while now it is a powerful amalgam of methods used for the analysis of statistical properties of dyna mical systems. For this reason, the problems of ergodic theory now interest not only the mathematician, but also the research worker in physics, biology, chemistry, etc. The outline of this book became clear to us nearly ten years ago but, for various reasons, its writing demanded a long period of time. The main principle, which we adhered to from the beginning, was to develop the approaches and methods or ergodic theory in the study of numerous concrete examples. Because of this, Part I of the book contains the description of various classes of dynamical systems, and their elementary analysis on the basis of the fundamental notions of ergodicity, mixing, and spectra of dynamical systems. Here, as in many other cases, the adjective" elementary" i~ not synonymous with "simple. " Part II is devoted to "abstract ergodic theory. " It includes the construc tion of direct and skew products of dynamical systems, the Rohlin-Halmos lemma, and the theory of special representations of dynamical systems with continuous time. A considerable part deals with entropy.

Trends in Stochastic Analysis

Trends in Stochastic Analysis PDF Author: Jochen Blath
Publisher: Cambridge University Press
ISBN: 052171821X
Category : Mathematics
Languages : en
Pages : 397

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Book Description
Presenting important trends in the field of stochastic analysis, this collection of thirteen articles provides an overview of recent developments and new results. Written by leading experts in the field, the articles cover a wide range of topics, ranging from an alternative set-up of rigorous probability to the sampling of conditioned diffusions. Applications in physics and biology are treated, with discussion of Feynman formulas, intermittency of Anderson models and genetic inference. A large number of the articles are topical surveys of probabilistic tools such as chaining techniques, and of research fields within stochastic analysis, including stochastic dynamics and multifractal analysis. Showcasing the diversity of research activities in the field, this book is essential reading for any student or researcher looking for a guide to modern trends in stochastic analysis and neighbouring fields.

Stochastically Forced Compressible Fluid Flows

Stochastically Forced Compressible Fluid Flows PDF Author: Dominic Breit
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110490765
Category : Mathematics
Languages : en
Pages : 423

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Book Description
This book contains a first systematic study of compressible fluid flows subject to stochastic forcing. The bulk is the existence of dissipative martingale solutions to the stochastic compressible Navier-Stokes equations. These solutions are weak in the probabilistic sense as well as in the analytical sense. Moreover, the evolution of the energy can be controlled in terms of the initial energy. We analyze the behavior of solutions in short-time (where unique smooth solutions exists) as well as in the long term (existence of stationary solutions). Finally, we investigate the asymptotics with respect to several parameters of the model based on the energy inequality. Contents Part I: Preliminary results Elements of functional analysis Elements of stochastic analysis Part II: Existence theory Modeling fluid motion subject to random effects Global existence Local well-posedness Relative energy inequality and weak–strong uniqueness Part III: Applications Stationary solutions Singular limits

Smooth Ergodic Theory and Its Applications

Smooth Ergodic Theory and Its Applications PDF Author: A. B. Katok
Publisher: American Mathematical Soc.
ISBN: 0821826824
Category : Mathematics
Languages : en
Pages : 895

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Book Description
During the past decade, there have been several major new developments in smooth ergodic theory, which have attracted substantial interest to the field from mathematicians as well as scientists using dynamics in their work. In spite of the impressive literature, it has been extremely difficult for a student-or even an established mathematician who is not an expert in the area-to acquire a working knowledge of smooth ergodic theory and to learn how to use its tools. Accordingly, the AMS Summer Research Institute on Smooth Ergodic Theory and Its Applications (Seattle, WA) had a strong educational component, including ten mini-courses on various aspects of the topic that were presented by leading experts in the field. This volume presents the proceedings of that conference. Smooth ergodic theory studies the statistical properties of differentiable dynamical systems, whose origin traces back to the seminal works of Poincare and later, many great mathematicians who made contributions to the development of the theory. The main topic of this volume, smooth ergodic theory, especially the theory of nonuniformly hyperbolic systems, provides the principle paradigm for the rigorous study of complicated or chaotic behavior in deterministic systems. This paradigm asserts that if a non-linear dynamical system exhibits sufficiently pronounced exponential behavior, then global properties of the system can be deduced from studying the linearized system. One can then obtain detailed information on topological properties (such as the growth of periodic orbits, topological entropy, and dimension of invariant sets including attractors), as well as statistical properties (such as the existence of invariant measures, asymptotic behavior of typical orbits, ergodicity, mixing, decay of corre This volume serves a two-fold purpose: first, it gives a useful gateway to smooth ergodic theory for students and nonspecialists, and second, it provides a state-of-the-art report on important current aspects of the subject. The book is divided into three parts: lecture notes consisting of three long expositions with proofs aimed to serve as a comprehensive and self-contained introduction to a particular area of smooth ergodic theory; thematic sections based on mini-courses or surveys held at the conference; and original contributions presented at the meeting or closely related to the topics that were discussed there.