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Full discretization of semilinear stochastic wave equations driven by multiplicative noise

Anton, Rikard (author)
Umeå universitet,Institutionen för matematik och matematisk statistik
Cohen, David (author)
Umeå universitet,Institutionen för matematik och matematisk statistik,Univ Innsbruck, Dept Math, Innsbruck, Austria
Larsson, Stig (author)
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Wang, Xiaojie (author)
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 (creator_code:org_t)
2016
2016
English.
In: SIAM Journal on Numerical Analysis. - 0036-1429 .- 1095-7170. ; 54:2, s. 1093-1119
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • A fully discrete approximation of the semilinear stochastic wave equation driven by multiplicative noise is presented. A standard linear finite element approximation is used in space, and a stochastic trigonometric method is used for the temporal approximation. This explicit time integrator allows for mean-square error bounds independent of the space discretization and thus does not suffer from a step size restriction as in the often used Stormer-Verlet leapfrog scheme. Furthermore, it satisfies an almost trace formula (i.e., a linear drift of the expected value of the energy of the problem). Numerical experiments are presented and confirm the theoretical results.

Subject headings

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Keyword

semilinear stochastic wave equation
multiplicative noise
strong convergence
trace formula
stochastic trigonometric methods
geometric numerical integration

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ref (subject category)
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Anton, Rikard
Cohen, David
Larsson, Stig
Wang, Xiaojie
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Umeå University

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