2009
DOI: 10.1090/s0002-9947-09-04678-9
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Brownian subordinators and fractional Cauchy problems

Abstract: Abstract. A Brownian time process is a Markov process subordinated to the absolute value of an independent one-dimensional Brownian motion. Its transition densities solve an initial value problem involving the square of the generator of the original Markov process. An apparently unrelated class of processes, emerging as the scaling limits of continuous time random walks, involves subordination to the inverse or hitting time process of a classical stable subordinator. The resulting densities solve fractional Ca… Show more

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Cited by 93 publications
(109 citation statements)
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References 62 publications
(95 reference statements)
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“…In this case, it is an important observation [45,46,[50][51][52][53] that the probability density (31) can also be obtained as a solution of an ordinary partial differential equation including higher-order spatial derivatives, once suitable source terms are included. In this section we generalize these ideas in order to obtain positive-definite solutions for the UV limit of HL gravity in three and four spacetime dimensions.…”
Section: Diffusion On Anisotropic Spacetimesmentioning
confidence: 99%
“…In this case, it is an important observation [45,46,[50][51][52][53] that the probability density (31) can also be obtained as a solution of an ordinary partial differential equation including higher-order spatial derivatives, once suitable source terms are included. In this section we generalize these ideas in order to obtain positive-definite solutions for the UV limit of HL gravity in three and four spacetime dimensions.…”
Section: Diffusion On Anisotropic Spacetimesmentioning
confidence: 99%
“…An example of particular importance for us is iterated Brownian motion (IBM) [86][87][88][89][90][91][92][93][94][95][96][97][98][99][100][101][102][103][104]. To illustrate iterated Brownian motion, we set α = 1 and consider the ordinary D-dimensional higher-order operator ∇ n , Eq.…”
Section: E Iterated Brownian Motion (β = 1 γ = 2 S = 0)mentioning
confidence: 99%
“…(70) is a solution of both (71) and (84). In general, there exists a triple connection between fractional diffusion equations with fractional time σ , higher-order diffusion equations with integer time, and iterated processes [95,97,98,100,102,104].…”
Section: E Iterated Brownian Motion (β = 1 γ = 2 S = 0)mentioning
confidence: 99%
“…A successful one is that based on evolution equations of fractional order and the name fractional diffusion follows. This approach has been maintained by analytical methods, e.g., [6,7,37], by random walks, e.g., [15,20,21,22], by the continuous time random walk (CTRW) through a well-scaled passage to the diffusion limit, e.g., [16,17,18,23], by the parametric subordination, e.g., [19], and by the inverse stable subordination, e.g., [1,42].…”
Section: Introductionmentioning
confidence: 99%