We present a perturbation theory extending a prescription due to Feynman for computing the probability density function in Brownian-motion. The method used, can be applied to a wide variety of otherwise difficult circumstances in Brownian-motion. The exact moments and kurtosis, if not the distribution itself, for many important cases can be summed for arbitrary times. As expected, the behavior at early time regime, for the sample processes considered, deviate significantly from the usual diffusion theory; a fact with important consequences in various applications such as financial physics. A new class of functions dubbed "Damped-exponential-integrals" are also identified
Values of mathematical expectations have been found in the explicit form. Asumptotical expressions f...
The theory of Brownian motion of a quantum oscillator is developed. The Brownian motion is described...
We derive, the joint probability density of the maximum), ( mtMP M and the time at which this maximu...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
As mentioned in previous notes, there exist derivations of the Schrodinger equation in the literatur...
In this thesis, we study the distributional properties of functionals of the Brownian motion. The th...
As mentioned in previous notes, there exist derivations of the Schrodinger equation in the literatur...
A short review of the classical theory of Brownian motion is presented. A new method is proposed for...
In this paper, I review the link between stochastic processes and partial dif-ferential equations. I...
AbstractIn this article the authors develop a new approach to studying when anticipating perturbatio...
18 pagesThe paper deals with exponential functionals of the linear Brownian motion which arise in di...
We provide a mathematical study of the modified Diffusion Monte Carlo (DMC) algorithm introduced in ...
In November 2004, M. Yor and R. Mansuy jointly gave six lectures at Columbia University, New York. T...
50 pages with 28 figures. For a supplemental Mathematica notebook (Ref[76]) see https://www.dropbox....
The indefinite integral of the homogenized Ornstein-Uhlenbeck process is a well-known model for phys...
Values of mathematical expectations have been found in the explicit form. Asumptotical expressions f...
The theory of Brownian motion of a quantum oscillator is developed. The Brownian motion is described...
We derive, the joint probability density of the maximum), ( mtMP M and the time at which this maximu...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
As mentioned in previous notes, there exist derivations of the Schrodinger equation in the literatur...
In this thesis, we study the distributional properties of functionals of the Brownian motion. The th...
As mentioned in previous notes, there exist derivations of the Schrodinger equation in the literatur...
A short review of the classical theory of Brownian motion is presented. A new method is proposed for...
In this paper, I review the link between stochastic processes and partial dif-ferential equations. I...
AbstractIn this article the authors develop a new approach to studying when anticipating perturbatio...
18 pagesThe paper deals with exponential functionals of the linear Brownian motion which arise in di...
We provide a mathematical study of the modified Diffusion Monte Carlo (DMC) algorithm introduced in ...
In November 2004, M. Yor and R. Mansuy jointly gave six lectures at Columbia University, New York. T...
50 pages with 28 figures. For a supplemental Mathematica notebook (Ref[76]) see https://www.dropbox....
The indefinite integral of the homogenized Ornstein-Uhlenbeck process is a well-known model for phys...
Values of mathematical expectations have been found in the explicit form. Asumptotical expressions f...
The theory of Brownian motion of a quantum oscillator is developed. The Brownian motion is described...
We derive, the joint probability density of the maximum), ( mtMP M and the time at which this maximu...