Chaos Expansion Methods for Stochastic Differential Equations Involving the Malliavin Derivative–Part II
Tijana Levajković, Dora Seleši (2011)
Publications de l'Institut Mathématique
Ankirchner, Stefan, Imkeller, Peter, Dos Reis, Gonçalo J.N. (2007)
Electronic Journal of Probability [electronic only]
Peter Imkeller, Victor Nzengang (2015)
Banach Center Publications
We consider the problem of optimal investment for maximal expected utility in an incomplete market with trading strategies subject to closed constraints. Under the assumption that the underlying utility function has constant sign, we employ the comparison principle for BSDEs to construct a family of supermartingales leading to a necessary and sufficient condition for optimality. As a consequence, the value function is characterized as the initial value of a BSDE with Lipschitz growth.
Piera, Francisco J., Mazumdar, Ravi R. (2008)
Electronic Journal of Probability [electronic only]
John B. Bell, Alejandro L. Garcia, Sarah A. Williams (2010)
ESAIM: Mathematical Modelling and Numerical Analysis
This paper describes the extension of a recently developed numerical solver for the Landau-Lifshitz Navier-Stokes (LLNS) equations to binary mixtures in three dimensions. The LLNS equations incorporate thermal fluctuations into macroscopic hydrodynamics by using white-noise fluxes. These stochastic PDEs are more complicated in three dimensions due to the tensorial form of the correlations for the stochastic fluxes and in mixtures due to couplings of energy and concentration fluxes (e.g., Soret...
Aleksander Janicki (1995)
Applicationes Mathematicae
The aim of this paper is to apply the appropriate numerical, statistical and computer techniques to the construction of approximate solutions to nonlinear 2nd order stochastic differential equations modeling some engineering systems subject to large random external disturbances. This provides us with quantitative results on their asymptotic behavior.
Aleksander Weron (1995)
Applicationes Mathematicae
The aim of this paper is to demonstrate how the appropriate numerical, statistical and computer techniques can be successfully applied to the construction of approximate solutions of stochastic differential equations modeling some engineering systems subject to large disturbances. In particular, the evolution in time of densities of stochastic processes solving such problems is discussed.
Jean Mémin, Leszek Słominski (1991)
Séminaire de probabilités de Strasbourg
Kenneth David Elworthy, Marc Yor (1993)
Séminaire de probabilités de Strasbourg
F. Lambert (1976)
Annales scientifiques de l'Université de Clermont. Mathématiques
Ivo Vrkoč (1972)
Czechoslovak Mathematical Journal
Ivo Vrkoč (1978)
Czechoslovak Mathematical Journal
Stephen Montgomery-Smith (2005)
Applications of Mathematics
We obtain logarithmic improvements for conditions for regularity of the Navier-Stokes equation, similar to those of Prodi-Serrin or Beale-Kato-Majda. Some of the proofs make use of a stochastic approach involving Feynman-Kac-like inequalities. As part of our methods, we give a different approach to a priori estimates of Foiaş, Guillopé and Temam.
Shanmugasundaram Karthikeyan, Krishnan Balachandran (2011)
International Journal of Applied Mathematics and Computer Science
This paper is concerned with complete controllability of a class of nonlinear stochastic systems involving impulsive effects in a finite time interval by means of controls whose initial and final values can be assigned in advance. The result is achieved by using a fixed-point argument.
Paul-André Meyer (1989)
Séminaire de probabilités de Strasbourg
Laurent Schwartz (1985)
Séminaire de probabilités de Strasbourg
Heinz W. Engl, Anton Wakolbinger (1985)
Monatshefte für Mathematik
Mohamed Oumoun, Lahcen Maniar, Abdelghafour Atlas (2020)
Kybernetika
We investigate the state feedback stabilization, in the sense of weak solution, of nonlinear stochastic systems when the drift is quadratic in the control and the diffusion term is affine in the control. Based on the generalised stochastic Lyapunov theorem, we derive the necessary conditions and the sufficient conditions, respectively, for the global asymptotic stabilization in probability by a continuous feedback explicitly computed. The interest of this work is that the existing control methods...
Baker, Christopher T.H., Buckwar, Evelyn (2000)
ETNA. Electronic Transactions on Numerical Analysis [electronic only]
Hanqing Jin, Jia-An Yan, Xun Yu Zhou (2005)
Annales de l'I.H.P. Probabilités et statistiques