22 research outputs found
Processos estocĂ stics: un curs bĂ sic
Text docent per l'assignatura Processos EstocĂ stics del Grau de MatemĂ tiques. Es presenten algunes de les famĂlies de processos mĂ©s utilitzades: els processos de ramificaciĂł, el procĂ©s de Poisson, el moviment browniĂ , els processos de Markov a temps continu i els processos de naixement i mort
Weak convergence to a class of two-parameter Gaussian processes from a LĂ©vy sheet
In this paper, we show an approximation in law, in the space of the continuous functions on , of two-parameter Gaussian processes that can be represented as a Wiener type integral by processes constructed from processes that converge to the Brownian sheet. As an application, we obtain a sequence of processes constructed from a LĂ©vy sheet that converges in law towards the fractional Brownian sheet
On the strong convergence of multiple ordinary integrals to multiple Stratonovich integrals
Given , a sequence of approximations to a standard Brownian motion in such that converges almost surely to , we show that, under regular conditions on the approximations, the multiple ordinary integrals with respect to converge to the multiple Stratonovich integral. We are integrating functions of the type where for each has continuous derivatives in . We apply this result to approximations obtained from uniform transport processes
Convergence of delay equations driven by a Hölder continuous function of order 1/3<ÎČ<1/2.
In this article we show that, when the delay approaches zero, the solution of multidimensional delay differential equations driven by a Hölder continuous function of order 1/3 < \beta < 1/2 converges with the supremum norm to the solution for the equation without delay. Finally we discuss the applications to stochastic differential equations
Weak convergence to a class of two-parameter Gaussian processes from a LĂ©vy sheet
In this paper, we show an approximation in law, in the space of the continuous functions on , of two-parameter Gaussian processes that can be represented as a Wiener type integral by processes constructed from processes that converge to the Brownian sheet. As an application, we obtain a sequence of processes constructed from a LĂ©vy sheet that converges in law towards the fractional Brownian sheet
Strong approximations of Brownian sheet by uniform transport processes.
Many years ago, Griego, Heath and Ruiz-Moncayo proved that it is possible to define realizations of a sequence of uniform transport processes that converges almost surely to the standard Brownian motion, uniformly on the unit time interval. In this paper we extend their results to the multi parameter case. We begin constructing a family of processes, starting from a set of independent standard Poisson processes, that has realizations that converge almost surely to the Brownian sheet, uniformly on the unit square. At the end the extension to the d-parameter Wiener processes is presented
Coinfection in a stochastic model for bacteriophage systems
A system modeling bacteriophage treatments with coinfections in a noisy context is analysed. We prove that in a small noise regime, the system converges in the long term to a bacteria-free equilibrium. Moreover, we compare the treatment with coinfection with the treatment without coinfection, showing how coinfection affects the convergence to the bacteria-free equilibrium
Cristalls de spin
L'estudi dels cristalls de spin iniciat a partir dels anys setanta ha tingut darrerament grans avenços en termes matemà tics. En aquest article presentem, de manera divulgativa, els conceptes bà sics d'aquesta à rea, detallem el seu marc matemà tic, descrivim els models clà ssics que considerem més importants i expliquem algunes de les tÚcniques que s'utilitzen per a estudiar-los
A model of continuous time polymer on the lattice
In this article, we try to give a rather complete picture of the behavior of the free energy for a model of directed polymer in a random environment, in which the polymer is a simple symmetric random walk on the lattice Z d, and the environment is a collection {W(t, x);t â„ 0, x â Z d} of i.i.d. Brownian motions
Stochastic delay differential equations driven by fractional Brownian motion with Hurst parameter H 1/2
We consider the Cauchy problem for a stochastic delay differential equation driven by a fractional Brownian motion with Hurst parameter H>Âż. We prove an existence and uniqueness result for this problem, when the coefficients are sufficiently regular. Furthermore, if the diffusion coefficient is bounded away from zero and the coefficients are smooth functions with bounded derivatives of all orders, we prove that the law of the solution admits a smooth density with respect to Lebesgue measure on R