Quantitative Stochastic Homogenization and Large-Scale Regularity
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
First book focusing on stochastic (as opposed to periodic) homogenization, presenting the quantitative theory, and exposing the renormalization approach to stochastic homogenization
Collects the essential ideas and results of the theory of quantitative stochastic homogenization, including the optimal error estimates and scaling limit of the first-order correctors to a variant of the Gaussian free field
Proves for the first time important new results, including optimal estimates for the first-order correctors in negative Sobolev spaces, optimal error estimates for Dirichlet and Neumann problems and the optimal quantitative description of the parabolic and elliptic Green functions
Contains an original construction and interpretation of the Gaussian free field and the functional spaces to which it belongs, and an elementary new derivation of the heat kernel formulation of Sobolev space normsAutor*in
Scott Armstrong
Themen in »Quantitative Stochastic Homogenization and Large-Scale Regularity«
35B27, 60F17, 35B65 Gaussian free field Green function calculus of variations divergence-form elliptic equation invariance principle large-scale regularity theory optimal error estimates random conductance model random walk in random environment rates of convergence renormalization stochastic homogenization two-scale expansion