Atnaujinkite slapukų nuostatas

El. knyga: Entropy Methods for Diffusive Partial Differential Equations

  • Formatas: PDF+DRM
  • Serija: SpringerBriefs in Mathematics
  • Išleidimo metai: 17-Jun-2016
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783319342191
  • Formatas: PDF+DRM
  • Serija: SpringerBriefs in Mathematics
  • Išleidimo metai: 17-Jun-2016
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783319342191

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

This book presents a range of entropy methods for diffusive PDEs devised by many researchers in the course of the past few decades, which allow us to understand the qualitative behavior of solutions to diffusive equations (and Markov diffusion processes). Applications include the large-time asymptotics of solutions, the derivation of convex Sobolev inequalities, the existence and uniqueness of weak solutions, and the analysis of discrete and geometric structures of the PDEs. The purpose of the book is to provide readers an introduction to selected entropy methods that can be found in the research literature. In order to highlight the core concepts, the results are not stated in the widest generality and most of the arguments are only formal (in the sense that the functional setting is not specified or sufficient regularity is supposed). The text is also suitable for advanced master and PhD students and could serve as a textbook for special courses and seminars.

1 Introduction.- 2 Fokker-Planck equations.- 3 Systematic Integration by Parts.- 4 Cross-Diffusion Systems.- 5 Towards Discrete Entropy Methods.- 6 Appendix A: Technical Tools.

Recenzijos

This book is devoted to presenting a brief summary and a collection of some entropy methods developed in recent decades by many researchers in order to understand the qualitative properties of solutions to diffusive partial differential equations and Markov processes. In particular, the book may be useful for advanced Master's and Ph.D. students or for special courses or seminars. (Gaetano Siciliano, Mathematical Reviews, May, 2017)

1 Introduction
1(18)
1.1 Entropy Concepts in Physics
1(2)
1.2 Entropy Concepts in Mathematics
3(3)
1.3 Some Ideas of Entropy Methods
6(5)
1.4 Some Definitions
11(8)
References
15(4)
2 Fokker--Planck Equations
19(26)
2.1 The PDE Viewpoint of the Bakry--Emery Approach
20(4)
2.2 Convex Sobolev Inequalities
24(3)
2.3 The Stochastic Viewpoint of the Bakry--Emery Approach
27(3)
2.4 Relaxation to Self-Similarity
30(2)
2.5 Nonlinear Fokker--Planck Equations
32(5)
2.6 Extensions
37(8)
References
42(3)
3 Systematic Integration by Parts
45(24)
3.1 Motivation
45(1)
3.2 The One-Dimensional Case
46(9)
3.3 The Multi-dimensional Case
55(7)
3.4 The Bakry--Emery Approach Revisited
62(7)
References
67(2)
4 Cross-Diffusion Systems
69(40)
4.1 Examples from Physics and Biology
69(5)
4.2 Derivation
74(7)
4.3 Entropy Structure
81(5)
4.4 Boundedness-by-Entropy Method
86(7)
4.5 Population Models
93(5)
4.6 Ion-Transport Models
98(3)
4.7 Uniqueness of Weak Solutions
101(8)
References
105(4)
5 Towards Discrete Entropy Methods
109(22)
5.1 Time-Continuous Markov Chains and Entropy
109(6)
5.2 A Discrete Bakry--Emery Approach
115(3)
5.3 Entropy-Dissipating Time-Discrete Schemes
118(13)
References
129(2)
Appendix A Technical Tools 131(6)
Index 137