Weak backward error analysis for Langevin process

Verfasser / Beitragende:
[Marie Kopec]
Ort, Verlag, Jahr:
2015
Enthalten in:
BIT Numerical Mathematics, 55/4(2015-12-01), 1057-1103
Format:
Artikel (online)
ID: 605497087
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024 7 0 |a 10.1007/s10543-015-0546-0  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s10543-015-0546-0 
100 1 |a Kopec  |D Marie  |u ENS RENNES/INRIA RENNES, Campus de Ker Lann, Avenue Robert Schumann, 35170, Bruz, France  |4 aut 
245 1 0 |a Weak backward error analysis for Langevin process  |h [Elektronische Daten]  |c [Marie Kopec] 
520 3 |a We consider numerical approximations of stochastic Langevin equations by implicit methods. We show a weak backward error analysis result in the sense that the generator associated with the numerical solution coincides with the solution of a modified Kolmogorov equation up to high order terms with respect to the stepsize. This implies that every measure of the numerical scheme is close to a modified invariant measure obtained by asymptotic expansion. Moreover, we prove that, up to negligible terms, the dynamics associated with the considered implicit scheme is exponentially mixing: The law of the scheme converges exponentially fast to a constant up to an error that we can optimize. 
540 |a Springer Science+Business Media Dordrecht, 2015 
690 7 |a Backward error analysis  |2 nationallicence 
690 7 |a Langevin equation  |2 nationallicence 
690 7 |a Exponential mixing  |2 nationallicence 
690 7 |a Numerical scheme  |2 nationallicence 
690 7 |a Weak error  |2 nationallicence 
690 7 |a Kolmogorov equation  |2 nationallicence 
773 0 |t BIT Numerical Mathematics  |d Springer Netherlands  |g 55/4(2015-12-01), 1057-1103  |x 0006-3835  |q 55:4<1057  |1 2015  |2 55  |o 10543 
856 4 0 |u https://doi.org/10.1007/s10543-015-0546-0  |q text/html  |z Onlinezugriff via DOI 
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900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10543-015-0546-0  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 100  |E 1-  |a Kopec  |D Marie  |u ENS RENNES/INRIA RENNES, Campus de Ker Lann, Avenue Robert Schumann, 35170, Bruz, France  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t BIT Numerical Mathematics  |d Springer Netherlands  |g 55/4(2015-12-01), 1057-1103  |x 0006-3835  |q 55:4<1057  |1 2015  |2 55  |o 10543 
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