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Perturbations Leading to Markov Processes

  • Mark I. Freidlin
  • Alexander D. Wentzell
Part of the Grundlehren der mathematischen Wissenschaften book series (GL, volume 260)

Summary.

In Chap. 5 the large-deviation results of Chap. 4 are generalized to include not only diffusion processes with small variable diffusion, but also to families of locally infinitely divisible Markov processes with small randomness. The action functional in these cases is expressed as the integral involving the test function and its first derivative, using the Legendre transformation of some characteristic of the Markov process in question. Some part of the proofs is based on a generalization of H. Cramér’s transformation the he applied to large deviations for sums of independent random variables.

Keywords

Markov Process Invariant Measure Independent Random Variable Lower Semicontinuous Diffusion Matrix 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of MathematicsUniversity of MarylandCollege ParkUSA
  2. 2.Department of MathematicsTulane UniversityNew OrleansUSA

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