2017
DOI: 10.1007/978-1-4939-7005-6_8
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An Application of a Functional Inequality to Quasi-Invariance in Infinite Dimensions

Abstract: One way to interpret smoothness of a measure in infinite dimensions is quasi-invariance of the measure under a class of transformations. Usually such settings lack a reference measure such as the Lebesgue or Haar measure, and therefore we can not use smoothness of a density with respect to such a measure. We describe how a functional inequality can be used to prove quasi-invariance results in several settings. In particular, this gives a different proof of the classical Cameron-Martin (Girsanov) theorem for an… Show more

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Cited by 4 publications
(9 citation statements)
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“…We now state the Cameron-Martin type quasi-invariance result for ν t = Law(X t ). We prove this as an application of the main theorem in [11]. However, to see how a direct proof would work, the reader may see the proof of Theorem 3.8 in the next subsection.…”
Section: Infinite-dimensional Resultsmentioning
confidence: 93%
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“…We now state the Cameron-Martin type quasi-invariance result for ν t = Law(X t ). We prove this as an application of the main theorem in [11]. However, to see how a direct proof would work, the reader may see the proof of Theorem 3.8 in the next subsection.…”
Section: Infinite-dimensional Resultsmentioning
confidence: 93%
“…Also, in the case of the generalized Kolmogorov diffusions we consider, there is no underlying group structure and so a shift in the initial state of the process does not correspond to any group action. Thus the results in the current paper can not be proven by directly applying the approach developed in [10,11].…”
Section: Introductionmentioning
confidence: 91%
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“…Whereas Theorem 1.1 allows for Bochner-Minlos and Lévy Continuity related results to come into play, the non-multiplicativity of D σ (corresponding to the non-infinite-divisibility of the measure) immediately rules out the usual approach to quasi-invariance via Fourier transforms [2,20,42,43]. Other approaches to this problem rely on finite-dimensional approximation techniques, variously concerned with approximating the space [34,35], the σ-algebra [20] or the acting group [11,45]. The common denominator here is for the approximation to be a filtration (cf.…”
mentioning
confidence: 99%