Perturbative analysis of stochastic Hamiltonian problems under time discretizations. (October 2021)
- Record Type:
- Journal Article
- Title:
- Perturbative analysis of stochastic Hamiltonian problems under time discretizations. (October 2021)
- Main Title:
- Perturbative analysis of stochastic Hamiltonian problems under time discretizations
- Authors:
- D'Ambrosio, R.
Giordano, G.
Paternoster, B.
Ventola, A. - Abstract:
- Abstract: In this work we focus on the study of stochastic Hamiltonian problem driven by additive Wiener noise. In particular, we aim to analyse the behaviour of discretizations to these problems, motivated by some results on stochastic Runge–Kutta methods (SRK) developed by Burrage and Burrage (2012). In fact, SRK methods present a remarkable error that increases with the parameter of the diffusive part of the problem. Through a perturbative analysis, we investigate the reason of this behaviour, leading to a negative answer: retaining the main features of stochastic Hamiltonian problems does not happen straightforwardly for any time discretization. This analysis is also numerically confirmed.
- Is Part Of:
- Applied mathematics letters. Volume 120(2021)
- Journal:
- Applied mathematics letters
- Issue:
- Volume 120(2021)
- Issue Display:
- Volume 120, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 120
- Issue:
- 2021
- Issue Sort Value:
- 2021-0120-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-10
- Subjects:
- Stochastic Hamiltonian problems -- Stochastic Runge–Kutta methods -- Perturbative theory
Applied mathematics -- Periodicals
519.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08939659 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.aml.2021.107223 ↗
- Languages:
- English
- ISSNs:
- 0893-9659
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1573.880000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16817.xml