scholarly journals A note on the stability of the local time of a wiener process

1987 ◽  
Vol 25 ◽  
pp. 203-213 ◽  
Author(s):  
Endre Csáki ◽  
Antónia Földes
2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Gregorio Díaz ◽  
Jesús Ildefonso Díaz

<p style='text-indent:20px;'>We consider a class of one-dimensional nonlinear stochastic parabolic problems associated to Sellers and Budyko diffusive energy balance climate models with a Legendre weighted diffusion and an additive cylindrical Wiener processes forcing. Our results use in an important way that, under suitable assumptions on the Wiener processes, a suitable change of variables leads the problem to a pathwise random PDE, hence an essentially "deterministic" formulation depending on a random parameter. Two applications are also given: the stability of solutions when the Wiener process converges to zero and the asymptotic behaviour of solutions for large time.</p>


1989 ◽  
Vol 82 (4) ◽  
pp. 545-563 ◽  
Author(s):  
Ant�nia F�ldes
Keyword(s):  

1986 ◽  
Vol 14 (2) ◽  
pp. 533-546 ◽  
Author(s):  
E. Csaki ◽  
A. Foldes
Keyword(s):  

1994 ◽  
Vol 19 (4) ◽  
pp. 285-290
Author(s):  
Miklós Csörgő ◽  
Qi-Man Shao
Keyword(s):  

1983 ◽  
Vol 11 (3) ◽  
pp. 593-608 ◽  
Author(s):  
E. Csaki ◽  
M. Csorgo ◽  
A. Foldes ◽  
P. Revesz
Keyword(s):  

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Weiwei Zhang ◽  
Linshan Wang

The robust stochastic stability for a class of uncertain neutral-type delayed neural networks driven by Wiener process is investigated. By utilizing the Lyapunov-Krasovskii functional and inequality technique, some sufficient criteria are presented in terms of linear matrix inequality (LMI) to ensure the stability of the system. A numerical example is given to illustrate the applicability of the result.


2021 ◽  
pp. 233-242
Author(s):  
I. A. Ibragimov ◽  
N. V. Smorodina ◽  
M. M. Faddeev
Keyword(s):  

Author(s):  
Betania Sánchez-Santamaría ◽  
Boris Mederos ◽  
Delfino Cornejo-Monroy ◽  
Rey David Molina-Arredondo ◽  
Víctor Castaño

Accelerated degradation tests (ADT) are widely used in the manufacturing industry to obtain information on the reliability of components and materials, through degrading the lifespan of the product by applying an acceleration factor which causes damage to the material. The main objective is to obtain fast information which is modeled to estimate the characteristics of the material life under normal conditions of use and to save time and expenses. The purpose of this work is to estimate the lifespan distribution of gold nanoparticles stabilized with lipoic acid (GNPs@LA) through accelerated degradation tests applying sodium chloride (NaCl) as an acceleration factor. For this, the synthesis of GNPs@LA was carried out, a constant stress ADT (CSADT) was applied, and the non-linear Wiener process was proposed with random effects, error measures and different covariability for the adjustment of the degradation signals. The information obtained with the test and analysis allows us to obtain the life distribution in GNPs@LA, the results make possible to determine the guaranteed time for a possible commercialization and successful application based on the stability of the material. In addition, for the evaluation and selection of the model, the Akaike and Bootstraping criteria were used.


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