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<h5>introduction</h5>
 
<h5>introduction</h5>
  
The simple exclusion process is a model of a lattice gas with an exclusion principle: a particle can move to a neighboring site, with rate p  for each side, only if this is empty.
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* Bethe Ansatz and Exclusion Processes [http://events.berkeley.edu/index.php/calendar/sn/math.html?event_ID=39328&date=2011-02-01 ]http://events.berkeley.edu/index.php/calendar/sn/math.html?event_ID=39328&date=2011-02-01
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* exclusion rule forbids to have more than one particle per site
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* The simple exclusion process is a model of a lattice gas with an exclusion principle
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* a particle can move to a neighboring site, with probability p to right and probability q to left, only if this is empty.
  
exclusion rule which forbids to have more than one particle per site
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Bethe Ansatz and Exclusion Processes http://events.berkeley.edu/index.php/calendar/sn/math.html?event_ID=39328&date=2011-02-01
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symmetric exclusion process p=q=1/2
 
 
symmetric exclusion process
 
  
 
particles jumping from left ro right or from right ro left with given probabilityes p and q (p+q=1)
 
particles jumping from left ro right or from right ro left with given probabilityes p and q (p+q=1)
  
G(x,t) = probability (x(t)=x | x(0) is distrbuted according to g(x) )
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G(x,t) = probability (x(t)=x | x(0) is distributed according to g(x) )
 
 
 
 
  
 
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x(t)=(x_1,\cdots,x_N)
  
 
 
 
 
 
<h5>KPZ equation</h5>
 
 
* [[KPZ equation]]
 
 
Stochastic growth models in the plane
 
 
For simple case, consider a graph of a random height function h.
 
 
Consider the rescaling
 
 
h^{\epsion}(x,t)=\epsilon h(\frac{x}{\epsilon},\frac{t}{\epsilon})
 
 
Then we expect to have
 
 
 
 
 
 
 
 
After some scaling argument, one may use KPZ equation to justify \epsilon^{2/3} as the order og the fluctuations of the above problem. But what is the law of the random \eta ?
 
 
Perhaps we can locate an example for which we can find exact formula for h as a result a formula for \eta. So for we have two examples that are "exactly solvable"
 
 
These examples are
 
 
Hammersley-Aldous-Diaconis (HAD) process and simple exclusion processes.
 
 
For the latter a trick known on Bethe ansatz is used to find very explicit formulas for various quantities of interest.
 
  
 
 
 
 

2011년 2월 9일 (수) 09:25 판

introduction

 

symmetric exclusion process p=q=1/2

particles jumping from left ro right or from right ro left with given probabilityes p and q (p+q=1)

G(x,t) = probability (x(t)=x | x(0) is distributed according to g(x) )

x(t)=(x_1,\cdots,x_N)

 

 

 

Bethe ansatz

 

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expositions
  • Golinelli, Olivier, and Kirone Mallick. 2006. The asymmetric simple exclusion process: an integrable model for non-equilibrium statistical mechanics. Journal of Physics A: Mathematical and General 39, no. 41 (10): 12679-12705. doi:10.1088/0305-4470/39/41/S03

 

 

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