1996
DOI: 10.1214/aop/1039639363
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Wiener functionals associated with joint distributions of exit time and position from small geodesic balls

Abstract: Consider the first exit time and position from small geodesic balls for Brownian motion on Riemannian manifolds. We establish a smooth Besselization technique and calculate the asymptotic expansion for the joint distributions by a purely probabilistic approach.

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Cited by 4 publications
(3 citation statements)
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“…In Takahashi-Watanabe [6], this part (and only this part) was proved by appealing to an analytical method, i.e., the singular perturbation technique, using which Fujita-Kotani [1] gave another whole proof. After these two proofs, the authors gave a purely probabilistic method by "smooth Besselization technique" [4], which was introduced in [3] by the first author. However, it lost the concrete study of the ergodic effect in return for simplicity.…”
Section: Introduction and The Main Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In Takahashi-Watanabe [6], this part (and only this part) was proved by appealing to an analytical method, i.e., the singular perturbation technique, using which Fujita-Kotani [1] gave another whole proof. After these two proofs, the authors gave a purely probabilistic method by "smooth Besselization technique" [4], which was introduced in [3] by the first author. However, it lost the concrete study of the ergodic effect in return for simplicity.…”
Section: Introduction and The Main Resultsmentioning
confidence: 99%
“…The drift c(t, x) has the coordinate symmetry, but it has also the singularity at x = 0. On the other hand, in [4] (originated in [3]) we broke the symmetry to choose another Besselization drift, which is totally smooth without any singularity.…”
Section: Coriolis Drift and Besselization Driftmentioning
confidence: 99%
“…All the O q > 0, which will appear in the developments of the functions of the form h(t, z) will be uniform in t. in [0, 1]. We will use the following developments (see [5] , [6] , [7] , [15] l;(t, z) = f;(t, 0) -03A6i(t) + £ ( §(t, °) -jR;;(t, °)) z; + 0 3 B 4 i = fi(t,0) -…”
Section: Control Of the Different Conditional Exponential Momentsmentioning
confidence: 99%