“…This result unifies the framework of our generalized excursion measure in terms of θ with that of Knight [10], Kasahara-Watanabe [8] and Kotani [12] in terms of σ * .…”
Section: η(T) = ζ(E)n ((0 T] De) (18)supporting
confidence: 79%
“…Based on Krein's spectral theory (see, e.g., [3], [7] and [13]), Knight [10] and Kotani-Watanabe [13] have characterized the class of the Lévy measures of (η(t)) for one-dimensional generalized (or gap) diffusion processes. For a string m, the corresponding Lévy measure has a density ρ(u)…”
A generalization of the excursion measure away from an exit boundary is defined for a one-dimensional diffusion process. It is constructed through the disintegration formula with respect to the lifetime. The counterpart of the Williams description, the disintegration formula with respect to the maximum, is also established. This generalized excursion measure is applied to explain and generalize the convergence theorem of Kasahara and Watanabe [8] in terms of the Poisson point fields, where the inverse local time processes of regular diffusion processes converge in the sense of probability law to some Lévy process, which is closely related to a diffusion process with an exit boundary.
“…This result unifies the framework of our generalized excursion measure in terms of θ with that of Knight [10], Kasahara-Watanabe [8] and Kotani [12] in terms of σ * .…”
Section: η(T) = ζ(E)n ((0 T] De) (18)supporting
confidence: 79%
“…Based on Krein's spectral theory (see, e.g., [3], [7] and [13]), Knight [10] and Kotani-Watanabe [13] have characterized the class of the Lévy measures of (η(t)) for one-dimensional generalized (or gap) diffusion processes. For a string m, the corresponding Lévy measure has a density ρ(u)…”
A generalization of the excursion measure away from an exit boundary is defined for a one-dimensional diffusion process. It is constructed through the disintegration formula with respect to the lifetime. The counterpart of the Williams description, the disintegration formula with respect to the maximum, is also established. This generalized excursion measure is applied to explain and generalize the convergence theorem of Kasahara and Watanabe [8] in terms of the Poisson point fields, where the inverse local time processes of regular diffusion processes converge in the sense of probability law to some Lévy process, which is closely related to a diffusion process with an exit boundary.
“…The measure 1 2 ν in Proposition 9.6(i) is then known as the spectral measure of the string, and the measure 2 ν in (ii) coincides with the spectral measure of the so-called dual string d F (x), where F is the right continuous inverse of the distribution function F (x) = x 0 f (x)dx. Krein's theory yields the following remarkable formulas for the Laplace exponent Φ of σ and the tail of its Lévy measure Π, which seem to have been first observed by Knight [101] (see also Kotani and Watanabe [102] and Küchler [103]). e −xξ ν(dξ) dx .…”
Section: Laplace Exponent Via the Sturm-liouville Equationmentioning
confidence: 75%
“…See in particular Bertoin [7], Kasahara [92], Kent [94,95], Knight [101], Kotani and Watanabe [102], Küchler [103], Küchler and Salminen [104], Tomisaki [149], Watanabe [150,151] and references therein.…”
Section: The Zero Set Of a One-dimensional Diffusionmentioning
“…In this section we construct, following [6] (see also [11] and [12]), timehomogeneous generalised diffusion processes as time-changes of Brownian motion. The time-change is specified in terms of the so-called speed measure.…”
Section: Construction Of Generalised Diffusionsmentioning
Abstract. Given a centred distribution, can one find a time-homogeneous martingale diffusion starting at zero which has the given law at time 1? We answer the question affirmatively if generalized diffusions are allowed.
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