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Quantitative stochastic homogenizati...

Armstrong, Scott.

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Quantitative stochastic homogenization and large-scale regularity

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantitative stochastic homogenization and large-scale regularity/ by Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat.
Author:	Armstrong, Scott.
other author:	Kuusi, Tuomo.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xxxviii, 518 p. :ill., digital ;24 cm.
[NT 15003449]:	Preface -- Assumptions and examples -- Frequently asked questions -- Notation -- Introduction and qualitative theory -- Convergence of the subadditive quantities -- Regularity on large scales -- Quantitative description of first-order correctors -- Scaling limits of first-order correctors -- Quantitative two-scale expansions -- Calderon-Zygmund gradient L^p estimates -- Estimates for parabolic problems -- Decay of the parabolic semigroup -- Linear equations with nonsymmetric coefficients -- Nonlinear equations -- Appendices: A.The O_s notation -- B.Function spaces and elliptic equations on Lipschitz domains -- C.The Meyers L^{2+\delta} estimate -- D. Sobolev norms and heat flow -- Parabolic Green functions -- Bibliography -- Index.
Contained By:	Springer eBooks
Subject:	Homogenization (Differential equations) -
Online resource:	https://doi.org/10.1007/978-3-030-15545-2
ISBN:	9783030155452

Quantitative stochastic homogenization and large-scale regularity
Armstrong, Scott.

Quantitative stochastic homogenization and large-scale regularity[electronic resource] /by Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat. - Cham :Springer International Publishing :2019. - xxxviii, 518 p. :ill., digital ;24 cm. - Grundlehren der mathematischen wissenschaften, a series of comprehensive studies in mathematics,v.3520072-7830 ;. - Grundlehren der mathematischen wissenschaften, a series of comprehensive studies in mathematics ;v.352..

Preface -- Assumptions and examples -- Frequently asked questions -- Notation -- Introduction and qualitative theory -- Convergence of the subadditive quantities -- Regularity on large scales -- Quantitative description of first-order correctors -- Scaling limits of first-order correctors -- Quantitative two-scale expansions -- Calderon-Zygmund gradient L^p estimates -- Estimates for parabolic problems -- Decay of the parabolic semigroup -- Linear equations with nonsymmetric coefficients -- Nonlinear equations -- Appendices: A.The O_s notation -- B.Function spaces and elliptic equations on Lipschitz domains -- C.The Meyers L^{2+\delta} estimate -- D. Sobolev norms and heat flow -- Parabolic Green functions -- Bibliography -- Index.

The focus of this book is the large-scale statistical behavior of solutions of divergence-form elliptic equations with random coefficients, which is closely related to the long-time asymptotics of reversible diffusions in random media and other basic models of statistical physics. Of particular interest is the quantification of the rate at which solutions converge to those of the limiting, homogenized equation in the regime of large scale separation, and the description of their fluctuations around this limit. This self-contained presentation gives a complete account of the essential ideas and fundamental results of this new theory of quantitative stochastic homogenization, including the latest research on the topic, and is supplemented with many new results. The book serves as an introduction to the subject for advanced graduate students and researchers working in partial differential equations, statistical physics, probability and related fields, as well as a comprehensive reference for experts in homogenization. Being the first text concerned primarily with stochastic (as opposed to periodic) homogenization and which focuses on quantitative results, its perspective and approach are entirely different from other books in the literature.

ISBN: 9783030155452

Standard No.: 10.1007/978-3-030-15545-2doiSubjects--Topical Terms:

532041
Homogenization (Differential equations)

LC Class. No.: QA377 / .A767 2019

Dewey Class. No.: 515.353

Quantitative stochastic homogenization and large-scale regularity
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245 1 0 $a Quantitative stochastic homogenization and large-scale regularity $h [electronic resource] / $c by Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xxxviii, 518 p. : $b ill., digital ; $c 24 cm.
490 1 $a Grundlehren der mathematischen wissenschaften, a series of comprehensive studies in mathematics, $x 0072-7830 ; $v v.352
505 0 $a Preface -- Assumptions and examples -- Frequently asked questions -- Notation -- Introduction and qualitative theory -- Convergence of the subadditive quantities -- Regularity on large scales -- Quantitative description of first-order correctors -- Scaling limits of first-order correctors -- Quantitative two-scale expansions -- Calderon-Zygmund gradient L^p estimates -- Estimates for parabolic problems -- Decay of the parabolic semigroup -- Linear equations with nonsymmetric coefficients -- Nonlinear equations -- Appendices: A.The O_s notation -- B.Function spaces and elliptic equations on Lipschitz domains -- C.The Meyers L^{2+\delta} estimate -- D. Sobolev norms and heat flow -- Parabolic Green functions -- Bibliography -- Index.
520 $a The focus of this book is the large-scale statistical behavior of solutions of divergence-form elliptic equations with random coefficients, which is closely related to the long-time asymptotics of reversible diffusions in random media and other basic models of statistical physics. Of particular interest is the quantification of the rate at which solutions converge to those of the limiting, homogenized equation in the regime of large scale separation, and the description of their fluctuations around this limit. This self-contained presentation gives a complete account of the essential ideas and fundamental results of this new theory of quantitative stochastic homogenization, including the latest research on the topic, and is supplemented with many new results. The book serves as an introduction to the subject for advanced graduate students and researchers working in partial differential equations, statistical physics, probability and related fields, as well as a comprehensive reference for experts in homogenization. Being the first text concerned primarily with stochastic (as opposed to periodic) homogenization and which focuses on quantitative results, its perspective and approach are entirely different from other books in the literature.
650 0 $a Homogenization (Differential equations) $3 532041
650 1 4 $a Partial Differential Equations. $3 890899
650 2 4 $a Probability Theory and Stochastic Processes. $3 891080
650 2 4 $a Mathematical Physics. $3 1542352
650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 898674
700 1 $a Kuusi, Tuomo. $3 3411056
700 1 $a Mourrat, Jean-Christophe. $3 3411057
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Grundlehren der mathematischen wissenschaften, a series of comprehensive studies in mathematics ; $v v.352. $3 3411058
856 4 0 $u https://doi.org/10.1007/978-3-030-15545-2
950 $a Mathematics and Statistics (Springer-11649)