Strong and weak orders in averaging for SPDEs

By Charles-Edouard Br'ehier. 2012

129 citations recorded by the source corpus.

Abstract We show an averaging result for a system of stochastic evolution equations of parabolic type with slow and fast time scales. We derive explicit bounds for the approximation error with respect to the small parameter defining the fast time scale. We prove that the slow component of the solution of the system converges towards the solution of the averaged equation with an order of convergence 1/2 in a strong sense–approximation of trajectories–and 1 in a weak sense–approximation of laws. These orders turn out to be the same as for the SDE case.

Subfields: Computational Theory and Mathematics, Finance, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/c26c6174f4815c91093097696525b78fbcd6b78d

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In Computational Theory and Mathematics

  1. Wei Liu
  2. Michael Röckner
  3. Yingchao Xie
  4. Xiaobin Sun
  5. Wei Hong
  6. Shihu Li
  7. Jiang-Lun Wu
  8. Charles-Edouard Br'ehier

In Finance

  1. Michael Röckner
  2. Wei Liu
  3. Yingchao Xie
  4. Xiaobin Sun
  5. Wei Hong
  6. Shihu Li
  7. Tusheng Zhang
  8. Yong Xu

In Modeling and Simulation

  1. Michael Röckner
  2. Wei Hong
  3. Shihu Li
  4. Wei Liu
  5. Yingchao Xie
  6. Xiaobin Sun
  7. Jiang-Lun Wu
  8. Charles-Edouard Br'ehier

Citations in the corpus