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Hitting probabilities for nonlinear systems of stochastic waves /

The authors consider a d-dimensional random field u = \{u(t, x)\} that solves a non-linear system of stochastic wave equations in spatial dimensions k \in \{1,2,3\}, driven by a spatially homogeneous Gaussian noise that is white in time. They mainly consider the case where the spatial covariance is...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Dalang, Robert C., 1961- (Autor), Sanz Solé, Marta, 1952- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Providence, Rhode Island : American Mathematical Society, 2015.
Colección:Memoirs of the American Mathematical Society ; no. 1120.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Dalang, Robert C.,  |d 1961-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PBJycHrVg7jw8MQW98dwHmd 
245 1 0 |a Hitting probabilities for nonlinear systems of stochastic waves /  |c Robert C. Dalang, Marta Sanz-Solé. 
264 1 |a Providence, Rhode Island :  |b American Mathematical Society,  |c 2015. 
264 4 |c ©2015 
300 |a 1 online resource (v, 75 pages) 
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490 1 |a Memoirs of the American Mathematical Society,  |x 0065-9266 ;  |v volume 237, number 1120 
588 0 |a Online resource; title from PDF title page (viewed October 6, 2015). 
504 |a Includes bibliographical references (pages 73-75). 
500 |a "Volume 237, number 1120 (fourth of 6 numbers), September 2015." 
505 0 |a Introduction -- Upper bounds on hitting probabilities -- Conditions on Malliavin matrix eigenvalues for lower bounds -- Study of Malliavin matrix eigenvalues and lower bounds -- Technical estimates -- Bibliography. 
520 |a The authors consider a d-dimensional random field u = \{u(t, x)\} that solves a non-linear system of stochastic wave equations in spatial dimensions k \in \{1,2,3\}, driven by a spatially homogeneous Gaussian noise that is white in time. They mainly consider the case where the spatial covariance is given by a Riesz kernel with exponent \beta. Using Malliavin calculus, they establish upper and lower bounds on the probabilities that the random field visits a deterministic subset of \mathbb{R}^d, in terms, respectively, of Hausdorff measure and Newtonian capacity of this set. The dimension that ap. 
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650 0 |a Stochastic processes. 
650 0 |a Stochastic differential equations. 
650 0 |a Hausdorff measures. 
650 0 |a Probabilities. 
650 6 |a Processus stochastiques. 
650 6 |a Équations différentielles stochastiques. 
650 6 |a Mesures de Hausdorff. 
650 6 |a Probabilités. 
650 7 |a probability.  |2 aat 
650 7 |a Hausdorff measures  |2 fast 
650 7 |a Probabilities  |2 fast 
650 7 |a Stochastic differential equations  |2 fast 
650 7 |a Stochastic processes  |2 fast 
700 1 |a Sanz Solé, Marta,  |d 1952-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PBJf8x9kHXC6qBKMmhYHt8C 
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830 0 |a Memoirs of the American Mathematical Society ;  |v no. 1120. 
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