Results 21 to 30 of about 104,971 (280)

Functionals in stochastic thermodynamics: how to interpret stochastic integrals [PDF]

open access: yes, 2019
In stochastic thermodynamics standard concepts from macroscopic thermodynamics, such as heat, work, and entropy production, are generalized to small fluctuating systems by defining them on a trajectory-wise level.
Bo, S., Eichhorn, R., Lim, S.
core   +2 more sources

Explicit order 3/2 Runge-Kutta method for numerical solutions of stochastic differential equations by using Itô-Taylor expansion

open access: yesOpen Mathematics, 2019
This paper aims to present a new pathwise approximation method, which gives approximate solutions of order 32$\begin{array}{} \displaystyle \frac{3}{2} \end{array}$ for stochastic differential equations (SDEs) driven by multidimensional Brownian motions.
Alhojilan Yazid
doaj   +1 more source

Asymptotic stability of stochastic differential equations driven by Lévy noise [PDF]

open access: yes, 2009
Using key tools such as Ito's formula for general semimartingales, Kunita's moment estimates for Levy-type stochastic integrals, and the exponential martingale inequality, we find conditions under which the solutions to the stochastic differential ...
David Applebaum   +9 more
core   +1 more source

A note on Kurzweil-Henstock's anticipating non-stochastic integral [PDF]

open access: yesMathematica Bohemica
Motivated by the study of anticipating stochastic integrals using Kurzweil-Henstock approach, we use anticipating interval-point pairs (with the tag as the right-end point of the interval) in studying non-stochastic integral, which we call the Kurzweil ...
Yu Xin Ng, Tin Lam Toh
doaj   +1 more source

Optimal Portfolios for Different Anticipating Integrals under Insider Information

open access: yesMathematics, 2020
We consider the non-adapted version of a simple problem of portfolio optimization in a financial market that results from the presence of insider information. We analyze it via anticipating stochastic calculus and compare the results obtained by means of
Carlos Escudero, Sandra Ranilla-Cortina
doaj   +1 more source

A tree approach to $p$-variation and to integration [PDF]

open access: yes, 2008
We consider a real-valued path; it is possible to associate a tree to this path, and we explore the relations between the tree, the properties of $p$-variation of the path, and integration with respect to the path. In particular, the fractal dimension of
Picard, Jean
core   +8 more sources

Geometric analysis of noisy perturbations to nonholonomic constraints

open access: yes, 2017
We propose two types of stochastic extensions of nonholonomic constraints for mechanical systems. Our approach relies on a stochastic extension of the Lagrange-d'Alembert framework. We consider in details the case of invariant nonholonomic systems on the
AM Bloch   +16 more
core   +1 more source

Expansions of Iterated Stratonovich Stochastic Integrals of Multiplicities 1 to 4 Based on Generalized Multiple Fourier Series

open access: yes, 2020
The article is devoted to the expansions of iterated Stratonovich stochastic integrals of multiplicities 1 to 4 on the basis of the method of generalized multiple Fourier series that are converge in the sense of norm in Hilbert space $L_2([t, T]^k),$ $k ...
Kuznetsov, Dmitriy F.
core   +2 more sources

Mittag–Leffler Fractional Stochastic Integrals and Processes with Applications

open access: yesMathematics
We study Mittag–Leffler (ML) fractional integrals involved in the solution processes of a system of coupled fractional stochastic differential equations.
Enrica Pirozzi
doaj   +1 more source

Strong Law of Large Numbers for Solutions of Non-Autonomous Stochastic Differential Equations

open access: yesНаукові вісті Національного технічного університету України "Київський політехнічний інститут", 2017
Background. Asymptotic behavior at infinity of non-autonomous stochastic differential equation solutions is studied in the paper.  Objective. The aim of the work is to find sufficient conditions for the strong law of large numbers for a random process ...
Oleg I. Klesov   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy