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The Resource Quantitative Stochastic Homogenization and Large-Scale Regularity, by Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat, (electronic resource)
Quantitative Stochastic Homogenization and Large-Scale Regularity, by Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat, (electronic resource)
Resource Information
The item Quantitative Stochastic Homogenization and Large-Scale Regularity, by Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Quantitative Stochastic Homogenization and Large-Scale Regularity, by Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
- Summary
- 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.
- Language
- eng
- Edition
- 1st ed. 2019.
- Extent
- XXXVIII, 518 p. 430 illus., 4 illus. in color.
- Contents
-
- 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
- Isbn
- 9783030155452
- Label
- Quantitative Stochastic Homogenization and Large-Scale Regularity
- Title
- Quantitative Stochastic Homogenization and Large-Scale Regularity
- Statement of responsibility
- by Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat
- Language
- eng
- Summary
- 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.
- http://library.link/vocab/creatorName
- Armstrong, Scott
- http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
-
- Q7Q74SGXPO0
- keJE7yjSh7M
- bOVIAynwz18
- Image bit depth
- 0
- LC call number
- QA370-380
- Literary form
- non fiction
- http://library.link/vocab/relatedWorkOrContributorName
-
- Kuusi, Tuomo.
- Mourrat, Jean-Christophe.
- Series statement
- Grundlehren der mathematischen Wissenschaften, A Series of Comprehensive Studies in Mathematics,
- Series volume
- 352
- http://library.link/vocab/subjectName
-
- Differential equations, Partial
- Probabilities
- Mathematical physics
- Calculus of variations
- Partial Differential Equations
- Probability Theory and Stochastic Processes
- Mathematical Physics
- Calculus of Variations and Optimal Control; Optimization
- Label
- Quantitative Stochastic Homogenization and Large-Scale Regularity, by Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat, (electronic resource)
- Antecedent source
- mixed
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- not applicable
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 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
- Dimensions
- unknown
- Edition
- 1st ed. 2019.
- Extent
- XXXVIII, 518 p. 430 illus., 4 illus. in color.
- File format
- multiple file formats
- Form of item
- electronic
- Isbn
- 9783030155452
- Level of compression
- uncompressed
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-030-15545-2
- Other physical details
- online resource.
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- System control number
- (DE-He213)978-3-030-15545-2
- Label
- Quantitative Stochastic Homogenization and Large-Scale Regularity, by Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat, (electronic resource)
- Antecedent source
- mixed
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- not applicable
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 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
- Dimensions
- unknown
- Edition
- 1st ed. 2019.
- Extent
- XXXVIII, 518 p. 430 illus., 4 illus. in color.
- File format
- multiple file formats
- Form of item
- electronic
- Isbn
- 9783030155452
- Level of compression
- uncompressed
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-3-030-15545-2
- Other physical details
- online resource.
- Quality assurance targets
- absent
- Reformatting quality
- access
- Specific material designation
- remote
- System control number
- (DE-He213)978-3-030-15545-2
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.bu.edu/portal/Quantitative-Stochastic-Homogenization-and/iv_gH_Ge0XE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/portal/Quantitative-Stochastic-Homogenization-and/iv_gH_Ge0XE/">Quantitative Stochastic Homogenization and Large-Scale Regularity, by Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>