Generalized Brownian functionals and stochastic integrals

1984 ◽  
Vol 12 (1) ◽  
pp. 115-123 ◽  
Author(s):  
T. Hida
Keyword(s):  
Stochastic Integrals

scholarly journals Weak convergence of stochastic integrals with respect to the state occupation measure of a Markov chain

2021 ◽  
Vol 58 (2) ◽  
pp. 372-393
Author(s):  
H. M. Jansen
Keyword(s):  
Markov Chain ◽  
Weak Convergence ◽  
Regime Switching ◽  
Sufficient Conditions ◽  
The State ◽  
Stochastic Integrals ◽  
Occupation Measure ◽  
Generator Matrix ◽  
Markov Modulated ◽  
Erlang Loss

AbstractOur aim is to find sufficient conditions for weak convergence of stochastic integrals with respect to the state occupation measure of a Markov chain. First, we study properties of the state indicator function and the state occupation measure of a Markov chain. In particular, we establish weak convergence of the state occupation measure under a scaling of the generator matrix. Then, relying on the connection between the state occupation measure and the Dynkin martingale, we provide sufficient conditions for weak convergence of stochastic integrals with respect to the state occupation measure. We apply our results to derive diffusion limits for the Markov-modulated Erlang loss model and the regime-switching Cox–Ingersoll–Ross process.

On Krylov’s estimates for optional semimartingales

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
M. Abdelghani ◽  
A. Melnikov ◽  
A. Pak
Keyword(s):  
Sobolev Space ◽  
Measurable Function ◽  
Diffusion Processes ◽  
Stochastic Integrals ◽  
Controlled Diffusion ◽  
Convergence Of Solutions ◽  
Change Of Variables ◽  
General Class Of Functions ◽  
Class Of Functions ◽  
Controlled Diffusion Processes

Abstract The estimates of N. V. Krylov for distributions of stochastic integrals by means of the L d {L_{d}} -norm of a measurable function are well-known and are widely used in the theory of stochastic differential equations and controlled diffusion processes. We generalize estimates of this type for optional semimartingales, then apply these estimates to prove the change of variables formula for a general class of functions from the Sobolev space W d 2 {W^{2}_{d}} . We also show how to use these estimates for the investigation of L 2 {L^{2}} -convergence of solutions of optional SDE’s.

On Moment Inequalities for Stochastic Integrals

1971 ◽  
Vol 16 (3) ◽  
pp. 538-541 ◽  
Author(s):  
A. A. Novikov
Keyword(s):  
Stochastic Integrals ◽  
Moment Inequalities

On the growth of stochastic integrals

1971 ◽  
Vol 18 (4) ◽  
pp. 340-344 ◽  
Author(s):  
Daniel W. Stroock
Keyword(s):  
Stochastic Integrals

The approximation of multiple stochastic integrals

1992 ◽  
Vol 10 (4) ◽  
pp. 431-441 ◽  
Author(s):  
P.E. Kloeden ◽  
E. Platen ◽  
I.W. Wright
Keyword(s):  
Stochastic Integrals ◽  
Multiple Stochastic Integrals
Sign in / Sign up

Export Citation Format

Share Document