In this manuscript we consider Intrinsic Stochastic Differential Equations on manifolds and constrain it to a level set of a smooth function. Such type of constraints are known as explicit algebraic constraints. The system of differential equation and the algebraic constraints is, in combination, called the Stochastic Differential Algebraic Equations (SDAEs). We consider these equations on manifolds and present methods for computing the solution of SDAEs.Comment: 13 pages, 2 Algorithm
AbstractThis paper develops the stochastic calculus of variations for Hilbert space-valued solutions...
AbstractWe derive an upper bound on the large-time exponential behavior of the solution to a stochas...
AbstractIn this article we prove that stochastic differential equation (SDE) with Sobolev drift on a...
We derive a new methodology for the construction of high order integrators for sampling the invarian...
We consider stochastic versions of Euler--Arnold equations using the infinite-dimensional geometric ...
In this paper, we study stochastic functional differential equations (sfde\u27s) whose solutions are...
In this paper, we study stochastic functional differential equations (sfde's) whose solutions a...
In [ABF19] the authors define three projections of Rd-valued stochastic differential equations (SDEs...
We propose a method for developing the flows of stochastic dynamical systems, posed as Ito's stochas...
29 pages, to appear in "Probability Theory and Related Fields"In a preceding article, we have studie...
A basic 1982 treatment of stochastic differential equations on manifolds and their solution flows an...
The technique of stochastic solutions, previously used for deterministic equations, is here proposed...
47 pages To be published in PTRFThe problem of finding a martingale on a manifold with a fixed rando...
This work uses techniques from convex analysis to study constrained solutions (u, ƞ) to stochastic ...
This work uses techniques from convex analysis to study constrained solutions (u, ƞ) to stochastic ...
AbstractThis paper develops the stochastic calculus of variations for Hilbert space-valued solutions...
AbstractWe derive an upper bound on the large-time exponential behavior of the solution to a stochas...
AbstractIn this article we prove that stochastic differential equation (SDE) with Sobolev drift on a...
We derive a new methodology for the construction of high order integrators for sampling the invarian...
We consider stochastic versions of Euler--Arnold equations using the infinite-dimensional geometric ...
In this paper, we study stochastic functional differential equations (sfde\u27s) whose solutions are...
In this paper, we study stochastic functional differential equations (sfde's) whose solutions a...
In [ABF19] the authors define three projections of Rd-valued stochastic differential equations (SDEs...
We propose a method for developing the flows of stochastic dynamical systems, posed as Ito's stochas...
29 pages, to appear in "Probability Theory and Related Fields"In a preceding article, we have studie...
A basic 1982 treatment of stochastic differential equations on manifolds and their solution flows an...
The technique of stochastic solutions, previously used for deterministic equations, is here proposed...
47 pages To be published in PTRFThe problem of finding a martingale on a manifold with a fixed rando...
This work uses techniques from convex analysis to study constrained solutions (u, ƞ) to stochastic ...
This work uses techniques from convex analysis to study constrained solutions (u, ƞ) to stochastic ...
AbstractThis paper develops the stochastic calculus of variations for Hilbert space-valued solutions...
AbstractWe derive an upper bound on the large-time exponential behavior of the solution to a stochas...
AbstractIn this article we prove that stochastic differential equation (SDE) with Sobolev drift on a...