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.

Page 1

Displaying 1 – 17 of 17

Showing per page

Random fractals generated by a local Gaussian process indexed by a class of functions

Claire Coiffard (2012)

ESAIM: Probability and Statistics

In this paper, we extend the results of Orey and Taylor [S. Orey and S.J. Taylor, How often on a Brownian path does the law of the iterated logarithm fail? Proc. London Math. Soc.28 (1974) 174–192] relative to random fractals generated by oscillations of Wiener processes to a multivariate framework. We consider a setup where Gaussian processes are indexed by classes of functions.

Random fractals generated by a local gaussian process indexed by a class of functions

Claire Coiffard (2011)

ESAIM: Probability and Statistics

In this paper, we extend the results of Orey and Taylor [S. Orey and S.J. Taylor, How often on a Brownian path does the law of the iterated logarithm fail? Proc. London Math. Soc. 28 (1974) 174–192] relative to random fractals generated by oscillations of Wiener processes to a multivariate framework. We consider a setup where Gaussian processes are indexed by classes of functions.

Random hysteresis loops

Gioia Carinci (2013)

Annales de l'I.H.P. Probabilités et statistiques

Dynamical hysteresis is a phenomenon which arises in ferromagnetic systems below the critical temperature as a response to adiabatic variations of the external magnetic field. We study the problem in the context of the mean-field Ising model with Glauber dynamics, proving that for frequencies of the magnetic field oscillations of order N - 2 / 3 , N the size of the system, the “critical” hysteresis loop becomes random.

Regularity of Gaussian white noise on the d-dimensional torus

Mark C. Veraar (2011)

Banach Center Publications

In this paper we prove that a Gaussian white noise on the d-dimensional torus has paths in the Besov spaces B p , - d / 2 ( d ) with p ∈ [1,∞). This result is shown to be optimal in several ways. We also show that Gaussian white noise on the d-dimensional torus has paths in the Fourier-Besov space b ̂ p , - d / p ( d ) . This is shown to be optimal as well.

Relationships between generalized Wiener integrals and conditional analytic Feynman integrals over continuous paths

Byoung Soo Kim, Dong Hyun Cho (2017)

Czechoslovak Mathematical Journal

Let C [ 0 , t ] denote a generalized Wiener space, the space of real-valued continuous functions on the interval [ 0 , t ] , and define a random vector Z n : C [ 0 , t ] n + 1 by Z n ( x ) = x ( 0 ) + a ( 0 ) , 0 t 1 h ( s ) d x ( s ) + x ( 0 ) + a ( t 1 ) , , 0 t n h ( s ) d x ( s ) + x ( 0 ) + a ( t n ) , where a C [ 0 , t ] , h L 2 [ 0 , t ] , and 0 < t 1 < < t n t is a partition of [ 0 , t ] . Using simple formulas for generalized conditional Wiener integrals, given Z n we will evaluate the generalized analytic conditional Wiener and Feynman integrals of the functions F in a Banach algebra which corresponds to Cameron-Storvick’s Banach algebra 𝒮 . Finally, we express the generalized analytic conditional Feynman...

Rough paths via sewing Lemma

Laure Coutin (2012)

ESAIM: Probability and Statistics

We present the rough path theory introduced by Lyons, using the swewing lemma of Feyel and de Lapradelle.

Currently displaying 1 – 17 of 17

Page 1