The Law of the Iterated Logarithm for Finitely Inhomogeneous Random Walks

2009 ◽  
Vol 23 (2) ◽  
pp. 417-427 ◽  
Author(s):  
Aurel Spătaru
Keyword(s):  
Random Walks ◽  
Iterated Logarithm ◽  
The Law ◽  
Inhomogeneous Random Walks

scholarly journals Using random walks to establish wavelike behavior in a linear FPUT system with random coefficients

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Joshua A. McGinnis ◽  
J. Douglas Wright
Keyword(s):  
Wave Equation ◽  
Initial Data ◽  
Random Walks ◽  
Random Coefficients ◽  
Energy Estimates ◽  
Stochastic Homogenization ◽  
Iterated Logarithm ◽  
Long Wave ◽  
The Law ◽  
Spatially Varying

<p style='text-indent:20px;'>We consider a linear Fermi-Pasta-Ulam-Tsingou lattice with random spatially varying material coefficients. Using the methods of stochastic homogenization we show that solutions with long wave initial data converge in an appropriate sense to solutions of a wave equation. The convergence is strong and both almost sure and in expectation, but the rate is quite slow. The technique combines energy estimates with powerful classical results about random walks, specifically the law of the iterated logarithm.</p>

scholarly journals The Law of the Iterated Logarithm for a Markov Process

1970 ◽  
Vol 41 (3) ◽  
pp. 945-955 ◽  
Author(s):  
R. P. Pakshirajan ◽  
M. Sreehari
Keyword(s):  
Markov Process ◽  
Iterated Logarithm ◽  
The Law

Extreme values and the law of the iterated logarithm

1987 ◽  
Vol 74 (3) ◽  
pp. 319-340 ◽  
Author(s):  
J. Kuelbs ◽  
M. Ledoux
Keyword(s):  
Extreme Values ◽  
Iterated Logarithm ◽  
The Law

scholarly journals Laws of the iterated logarithm on covering graphs with groups of polynomial volume growth

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ryuya Namba
Keyword(s):  
Random Walks ◽  
Quadratic Forms ◽  
Volume Growth ◽  
Moderate Deviation ◽  
Point Of View ◽  
Iterated Logarithm ◽  
Large Numbers ◽  
Geometric Point ◽  
Rate Functions ◽  
The Given

AbstractModerate deviation principles (MDPs) for random walks on covering graphs with groups of polynomial volume growth are discussed in a geometric point of view. They deal with any intermediate spatial scalings between those of laws of large numbers and those of central limit theorems. The corresponding rate functions are given by quadratic forms determined by the Albanese metric associated with the given random walks. We apply MDPs to establish laws of the iterated logarithm on the covering graphs by characterizing the set of all limit points of the normalized random walks.

The law of the Iterated Logarithm for random interval homeomorphisms

2021 ◽  
Author(s):  
Klaudiusz Czudek ◽  
Tomasz Szarek ◽  
Hanna Wojewódka-Ściążko
Keyword(s):  
Random Interval ◽  
Iterated Logarithm ◽  
The Law

On the Limit Set in the Law of the Iterated Logarithm for U-statistics of Order Two

2004 ◽  
pp. 111-126
Author(s):  
Stanislaw Kwapień ◽  
Rafał Latała ◽  
Krzysztof Oleszkiewicz ◽  
Joel Zinn
Keyword(s):  
Limit Set ◽  
U Statistics ◽  
Iterated Logarithm ◽  
The Law
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