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Titlebook: Quantitative Stochastic Homogenization and Large-Scale Regularity; Scott Armstrong,Tuomo Kuusi,Jean-Christophe Mourra Book 2019 Springer N

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發(fā)表于 2025-3-21 17:42:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Quantitative Stochastic Homogenization and Large-Scale Regularity
編輯Scott Armstrong,Tuomo Kuusi,Jean-Christophe Mourra
視頻videohttp://file.papertrans.cn/781/780983/780983.mp4
概述First book focusing on stochastic (as opposed to periodic) homogenization, presenting the quantitative theory, and exposing the renormalization approach to stochastic homogenization.Collects the essen
叢書名稱Grundlehren der mathematischen Wissenschaften
圖書封面Titlebook: Quantitative Stochastic Homogenization and Large-Scale Regularity;  Scott Armstrong,Tuomo Kuusi,Jean-Christophe Mourra Book 2019 Springer N
描述.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
出版日期Book 2019
關(guān)鍵詞stochastic homogenization; large-scale regularity theory; optimal error estimates; Gaussian free field;
版次1
doihttps://doi.org/10.1007/978-3-030-15545-2
isbn_ebook978-3-030-15545-2Series ISSN 0072-7830 Series E-ISSN 2196-9701
issn_series 0072-7830
copyrightSpringer Nature Switzerland AG 2019
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發(fā)表于 2025-3-21 22:43:33 | 只看該作者
Quantitative Stochastic Homogenization and Large-Scale Regularity978-3-030-15545-2Series ISSN 0072-7830 Series E-ISSN 2196-9701
板凳
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,Calderón–Zygmund Gradient , Estimates,We present large-scale regularity estimates of Calderón-Zygmund gradient .-type and consequently derive optimal estimates of the homogenization errors in stronger norms.
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Linear Equations with Nonsymmetric Coefficients,We adapt the analysis of previous chapters, based on variational methods, to the case in which the elliptic operator is not necessarily self-adjoint.
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Scott Armstrong,Tuomo Kuusi,Jean-Christophe MourraFirst book focusing on stochastic (as opposed to periodic) homogenization, presenting the quantitative theory, and exposing the renormalization approach to stochastic homogenization.Collects the essen
10#
發(fā)表于 2025-3-23 08:06:38 | 只看該作者
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