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Drift-preserving numerical integrators for stochastic Hamiltonian systems

Chen, C. C. (author)
Chinese Academy of Sciences
Cohen, David, 1977 (author)
Umeå universitet,Institutionen för matematik och matematisk statistik
D'Ambrosio, R. (author)
Universita degli Studi dell'Aquila,University of L'Aquila
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Lang, Annika, 1980 (author)
Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper,Department of Mathematical Sciences,Chalmers tekniska högskola,Chalmers University of Technology
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 (creator_code:org_t)
2020-03-16
2020
English.
In: Advances in Computational Mathematics. - : Springer Science and Business Media LLC. - 1019-7168 .- 1572-9044. ; 46:2
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The paper deals with numerical discretizations of separable nonlinear Hamiltonian systems with additive noise. For such problems, the expected value of the total energy, along the exact solution, drifts linearly with time. We present and analyze a time integrator having the same property for all times. Furthermore, strong and weak convergence of the numerical scheme along with efficient multilevel Monte Carlo estimators are studied. Finally, extensive numerical experiments illustrate the performance of the proposed numerical scheme.

Subject headings

NATURVETENSKAP  -- Matematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics (hsv//eng)
NATURVETENSKAP  -- Matematik -- Beräkningsmatematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Computational Mathematics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Keyword

Stochastic differential equations
Stochastic Hamiltonian systems
Energy
Trace formula
Numerical schemes
Strong convergence
Weak
convergence
Multilevel Monte Carlo
runge-kutta methods
differential-equations
wave-equations
energy
discretization
invariants
simulation
driven
stage
Mathematics
Trace formula

Publication and Content Type

ref (subject category)
art (subject category)

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