APPROXIMATION OF THE FILTER EQUATION FOR MULTIPLE TIMESCALE, CORRELATED, NONLINEAR SYSTEMS

Ryne Beeson, Navaratnam S. Namachchivaya, Nicolas Perkowski

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper considers the approximation of the continuous time filtering equation for the case of a multiple timescale signal (slow-intermediate and fast scales) that may have correlation between the slow-intermediate process and the observation process. The signal process is considered fully coupled, taking values in a multidimensional Euclidean space and without periodicity assumptions on coefficients. It is proved that in the weak topology, the solution of the filtering equation converges in probability to a solution of a lower dimensional averaged filtering equation in the limit of large timescale separation. The method of proof uses the perturbed test function approach (method of corrector) to handle the intermediate timescale in showing tightness and characterization of limits. The correctors are solutions of Poisson equations.

Original languageEnglish (US)
Pages (from-to)3054-3090
Number of pages37
JournalSIAM Journal on Mathematical Analysis
Volume54
Issue number3
DOIs
StatePublished - 2022

All Science Journal Classification (ASJC) codes

  • Analysis
  • Computational Mathematics
  • Applied Mathematics

Keywords

  • correlated noise
  • homogenization
  • multiple timescale
  • nonlinear filtering

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