Quantitative Stochastic Homogenization and Large-Scale Regularity / Scott Armstrong, Tuomo Kuusi, Jean-Christophe Mourrat

• Autore: Armstrong, Scott
• Pubblicazione: Cham, : Springer, 2019
• Titolo uniforme: Quantitative Stochastic Homogenization and Large-Scale Regularity
• Descrizione fisica: xxxviii, 518 p. : ill. ; 24 cm
• Soggetto topico: 35J25 - Boundary value problems for second-order elliptic equations [MSC 2020]; 60H15 - Stochastic partial differential equations (aspects of stochastic analysis) [MSC 2020]; 35Bxx - Qualitative properties of solutions to partial differential equations [MSC 2020]; 35R60 - PDEs with randomness, stochastic partial differential equations [MSC 2020]; 60F17 - Functional limit theorems; invariance principles [MSC 2020]
• Soggetto non controllato: Calculus of variations; Divergence-form elliptic equation; Gaussian free field; Green's Function; Invariance principle; Large-scale regularity theory; Optimal error estimates; Partial differential equations; Random conductance model; Random walk in random environment; Rates of Convergence; Renormalization; Stochastic homogenization; Two-scale expansion
• Altri autori: Kuusi, Tuomo Mourrat, Jean-Christophe
• Titolo autorizzato: Quantitative Stochastic Homogenization and Large-Scale Regularity
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0127135
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-15545-2
• Serie: Grundlehren der mathematischen Wissenschaften : A series of comprehensive texts in mathematics Berlin [etc.] . -Springer ; 352