Constantin Tudor
University of Bucharest
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Featured researches published by Constantin Tudor.
Stochastics An International Journal of Probability and Stochastic Processes | 2007
Constantin Tudor
We study several properties of the sub-fractional Brownian motion (fBm) introduced by Bojdecki et al. related to those of the fBm. This process is a self-similar Gaussian process depending on a parameter H ∈ (0, 2) with non stationary increments and is a generalization of the Brownian motion (Bm). The strong variation of the indefinite stochastic integral with respect to sub-fBm is also discussed.
Stochastic Analysis and Applications | 1995
G. Da Prato; Constantin Tudor
We discuss the problem of the existence of periodic and almost periodic solutions in distribution of semilinear stochastic equations on a separable Hilbert space. Under a dissipativity condition we prove that the translation of the mean square bounded solution is periodic or almost periodic. Similar results hold in the affine case under mean square stability of the linear part of the equation.
Stochastics and Stochastics Reports | 1992
Constantin Tudor
In this paper the problem of the existence of almost periodic in distribution solutions of almost periodic affine Ito equations of evolution type is studied. Under the hypotheses that the linear part of the equation is exponentially stable in mean square and the relative compactness of the one-dimensional distributions of the unique bounded solution of the equation, it is proved the almost periodicity of the one-dimensional distributions of the solution
Stochastics and Stochastics Reports | 1998
Ludwig Arnold; Constantin Tudor
We associate in a canonical way to an almost periodic affine SDE a stochastic equation driven by a dynamical system. We prove the existence of a unique stationary solution provided the corresponding linear SDE is hyperbolic. If the linear SDE is stable, the stationary solution is used to obtain a solution which is almost periodic in distribution.
Applied Mathematics and Optimization | 1989
Constantin Tudor
Existence, uniqueness, continuous dependence with respect to controls and convergence in the probability of finite differences for controlled semilinear stochastic evolution equations, driven by continuous semimartingales, are considered under Lipschitz and monotone coefficients. The existence of discreteε-optimal feedback controls for an associated optimization problem is proved.
Stochastic Analysis and Applications | 1989
T. Morozan; Constantin Tudor
We discuss the problem of the existence of almost periodic in distribution solutions of affine stochastic differential equations with almost periodic coefficients. We prove that if the linear part of the affine equation is exponentially stable in mean square then the unique continuous L2 -bounded solution of the affine system has the onedimensional distributions almost periodic. An analogous result is shown for the asymptotic almost periodic case
Stochastics and Stochastics Reports | 1998
Jorge A. León; Constantin Tudor
In this paper we use the Poisson-Ito chaos decomposition approach to define a variational derivative operator and its adjoint, which is an anticipating integral (i.e., it agrees with the martingale Poisson-Ito integral with respect to the compensated Poisson process for predictable integrands). Also an integration by parts formula and characterizations of these operators are given.Finally, we prove that, in the case where the basic probability space is the canonical Poisson space, our derivative operator is equal to the Carlen and Pardoux gradient operator that is defined by means of variation of the jump times
Journal of Theoretical Probability | 1994
Victor Pérez-Abreu; Constantin Tudor
The purpose of this paper is to present a general extended contraction principle for large deviations and apply it to obtain large deviations for random variables having chaos developments of exponential type.
Applicable Analysis | 2008
Constantin Tudor
We study multiple fractional integrals with respect to the even fractional Brownian motion (also called sub-fractional Brownian motion). The multiple integrals are introduced by using a representation formula for the even fractional Brownian motion as a Wiener integral with respect to a Brownian motion defined on the same probability space and a transfer principle. Then, Riemann–Stieltjes integral approximations to multiple Stratonovich fractional integrals are also considered. For two standard approximations (Wong–Zakai and mollifier approximations) and continuous integrands, the mean square convergence in the uniform norm of these approximations to the multiple Stratonovich sub-fractional integral is shown.
Stochastics An International Journal of Probability and Stochastic Processes | 1988
Constantin Tudor
Existence and pathwise uniqueness of mild solutions for stochastic evolution equations driven by continuous semimartingales is proved under monotone coefficients. The convergence of finite differen...