The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

Currently displaying 1 – 20 of 24

Showing per page

Order by Relevance | Title | Year of publication

Properties of generalized set-valued stochastic integrals

Michał Kisielewicz — 2014

Discussiones Mathematicae, Differential Inclusions, Control and Optimization

The paper is devoted to properties of generalized set-valued stochastic integrals defined in [10]. These integrals generalize set-valued stochastic integrals defined by E.J. Jung and J.H. Kim in the paper [4]. Up to now we were not able to construct any example of set-valued stochastic processes, different on a singleton, having integrably bounded set-valued integrals defined in [4]. It was shown by M. Michta (see [11]) that in the general case set-valued stochastic integrals defined by E.J. Jung...

Continuous selection theorems

Michał Kisielewicz — 2005

Discussiones Mathematicae, Differential Inclusions, Control and Optimization

Continuous approximation selection theorems are given. Hence, in some special cases continuous versions of Fillipov's selection theorem follow.

Stochastic differential inclusions

Michał Kisielewicz — 1999

Discussiones Mathematicae, Differential Inclusions, Control and Optimization

The definition and some existence theorems for stochastic differential inclusion dZₜ ∈ F(Zₜ)dXₜ, where F and X are set valued stochastic processes, are given.

Viability theorems for stochastic inclusions

Michał Kisielewicz — 1995

Discussiones Mathematicae, Differential Inclusions, Control and Optimization

Sufficient conditions for the existence of solutions to stochastic inclusions x t - x s s t F τ ( x τ ) d τ + s t G τ ( x τ ) d w τ + s t I R H τ , z ( x τ ) ν ̃ ( d τ , d z ) beloning to a given set K of n-dimensional cádlág processes are given.

Tightness of Continuous Stochastic Processes

Michał Kisielewicz — 2006

Discussiones Mathematicae Probability and Statistics

Some sufficient conditins for tightness of continuous stochastic processes is given. It is verified that in the classical tightness sufficient conditions for continuous stochastic processes it is possible to take a continuous nondecreasing stochastic process instead of a deterministic function one.

Strong and weak solutions to stochastic inclusions

Michał Kisielewicz — 1995

Banach Center Publications

Existence of strong and weak solutions to stochastic inclusions x t - x s s t F τ ( x τ ) d τ + s t G τ ( x τ ) d w τ + s t n H τ , z ( x τ ) q ( d τ , d z ) and x t - x s s t F τ ( x τ ) d τ + s t G τ ( x τ ) d w τ + s t | z | 1 H τ , z ( x τ ) q ( d τ , d z ) + s t | z | > 1 H τ , z ( x τ ) p ( d τ , d z ) , where p and q are certain random measures, is considered.

Boundedness of set-valued stochastic integrals

Michał Kisielewicz — 2015

Discussiones Mathematicae, Differential Inclusions, Control and Optimization

The paper deals with integrably boundedness of Itô set-valued stochastic integrals defined by E.J. Jung and J.H. Kim in the paper [4], where has not been proved that this integral is integrably bounded. The problem of integrably boundedness of the above set-valued stochastic integrals has been considered in the paper [7] and the monograph [8], but the problem has not been solved there. The first positive results dealing with this problem due to M. Michta, who showed (see [11]) that there are bounded...

Approximation theorem for set-valued functions

Michal Kisielewicz — 1976

Atti della Accademia Nazionale dei Lincei. Classe di Scienze Fisiche, Matematiche e Naturali. Rendiconti

La presente Nota contiene la dimostrazione di un teorema di approssimazione per funzioni a valori insiemi compatti convessi. Si dimostra che ogni funzione F ( t , x ) soddisfacente condizioni di tipo Carathéodory può approssimarsi con una localmente lipschitziana.

Page 1 Next

Download Results (CSV)