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research article

On the density of the supremum of the solution to the linear stochastic heat equation

Dalang, Robert C.  
•
Pu, Fei  
September 1, 2020
Stochastics And Partial Differential Equations-Analysis And Computations

We study the regularity of the probability density function of the supremum of the solution to the linear stochastic heat equation. Using a general criterion for the smoothness of densities for locally nondegenerate random variables, we establish the smoothness of the joint density of the random vector whose components are the solution and the supremum of an increment in time of the solution over an interval (at a fixed spatial position), and the smoothness of the density of the supremum of the solution over a space-time rectangle that touches thet=0 axis. Applying the properties of the divergence operator, we establish a Gaussian-type upper bound on these two densities respectively, which presents a close connection with the Holder-continuity properties of the solution.

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Type
research article
DOI
10.1007/s40072-019-00151-9
Web of Science ID

WOS:000567549800001

Author(s)
Dalang, Robert C.  
Pu, Fei  
Date Issued

2020-09-01

Publisher

SPRINGER

Published in
Stochastics And Partial Differential Equations-Analysis And Computations
Volume

8

Issue

3

Start page

461

End page

508

Subjects

Mathematics, Applied

•

Statistics & Probability

•

Mathematics

•

stochastic heat equation

•

supremum of a gaussian random field

•

probability density function

•

gaussian-type upper bound

•

malliavin calculus

•

smoothness

•

maximum

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
PROB  
Available on Infoscience
September 24, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/171859
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