Master equations for subordinated processes

1990 ◽  
Vol 60 (3-4) ◽  
pp. 413-444 ◽  
Author(s):  
F. Monti ◽  
H. R. Jauslin
Author(s):  
Gianpiero Colonna ◽  
mario Capitelli ◽  
Lucia Daniela Pietanza ◽  
Annarita Casavola

2021 ◽  
Vol 103 (21) ◽  
Author(s):  
Vasilii Vadimov ◽  
Jani Tuorila ◽  
Tuure Orell ◽  
Jürgen Stockburger ◽  
Tapio Ala-Nissila ◽  
...  
Keyword(s):  

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Adam Hewgill ◽  
Gabriele De Chiara ◽  
Alberto Imparato
Keyword(s):  

2019 ◽  
Vol 2019 (12) ◽  
Author(s):  
Aron Jansen ◽  
Andrzej Rostworowski ◽  
Mieszko Rutkowski
Keyword(s):  

2019 ◽  
Vol 100 (10) ◽  
Author(s):  
Chun-Hung Chen ◽  
Hing-Tong Cho ◽  
Alan S. Cornell ◽  
Gerhard E. Harmsen

2012 ◽  
Vol 14 (12) ◽  
pp. 123016 ◽  
Author(s):  
Tameem Albash ◽  
Sergio Boixo ◽  
Daniel A Lidar ◽  
Paolo Zanardi
Keyword(s):  

2004 ◽  
Vol 18 (06) ◽  
pp. 827-840
Author(s):  
CHIH-CHUN CHIEN ◽  
NING-NING PANG ◽  
WEN-JER TZENG

We study the restricted solid-on-solid (RSOS) model by grouping consecutive sites into local configurations and obtain the master equations of the probability distribution of these local configurations in closed forms. The obtained solutions to these equations fit very well with those from direct computer simulation of the RSOS model. To demonstrate the effectiveness of this new approach for studying interfacial phenomena, we then calculate the correlation functions and even scaling exponents based on this obtained probability distribution of local configurations. The results are also consistent very well with those obtained from the KPZ equation or direct simulation of the RSOS model.


1996 ◽  
Vol 16 (5) ◽  
pp. 1087-1100
Author(s):  
Eric Slud ◽  
Daniel Chambers

abstractNecessary and sufficient analytical conditions are given for homogeneous multiple Wiener-Itô integral processes (MWIs) to be mixing, and sufficient conditions are given for mixing of general square-integrable Gaussian-subordinated processes. It is shown that every finite or infinite sum Y of MWIs (i.e. every real square-integrable stationary polynomial form in the variables of an underlying weakly mixing Gaussian process) is mixing if the process defined separately by each homogeneous-order term is mixing, and that this condition is necessary for a large class of Gaussian-subordinated processes. Moreover, for homogeneous MWIs Y1, for sums of MWIs of order ≤ 3, and for a large class of square-integrable infinite sums Y1, of MWIs, mixing holds if and only if Y2 has correlation-function decaying to zero for large lags. Several examples of the criteria for mixing are given, including a second-order homogeneous MWI, i.e. a degree two polynomial form, orthogonal to all linear forms, which has auto-correlations tending to zero for large lags but is not mixing.


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