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Notes on Tug-of-War Games and the p-Laplace Equation / / by Mikko Parviainen



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Autore: Parviainen Mikko Visualizza persona
Titolo: Notes on Tug-of-War Games and the p-Laplace Equation / / by Mikko Parviainen Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (83 pages)
Disciplina: 519.22
Soggetto topico: Stochastic analysis
Game theory
Differential equations
Discrete mathematics
Stochastic Analysis
Game Theory
Differential Equations
Discrete Mathematics
Nota di contenuto: Chapter 1. Introduction -- Chapter 2. Viscosity Solutions -- Chapter 3. Stochastic Tug-of-War Game -- Chapter 4. Cancellation Method for Regularity of the Tug-of-War with Noise -- Chapter 5. Mean Value Characterizations -- Chapter 6. Further Regularity Methods -- Chapter 7. Open Problems and Comments.
Sommario/riassunto: This book addresses the interplay between stochastic processes and partial differential equations. More specifically, it focuses on the connection between the nonlinear p-Laplace equation and the stochastic game called tug-of-war with noise. The connection in this context was discovered approximately 15 years ago and has since provided new insights and approaches. These lecture notes provide a brief but detailed and accessible introduction to the subject and to the more research-oriented literature. The book also presents the parabolic case side by side with the elliptic case, highlighting the fact that elliptic and parabolic equations are close in spirit in certain aspects. Moreover, it covers some parts of the regularity theory for these problems. Graduate students and advanced undergraduate students with a basic understanding of probability and partial differential equations will find this book useful.
Titolo autorizzato: Notes on Tug-of-War Games and the p-Laplace Equation  Visualizza cluster
ISBN: 9789819978793
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910841865903321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs on PDEs and Data Science, . 2731-7609