"Brownian motion"의 두 판 사이의 차이

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==articles==
 
==articles==
 
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* Camia, Federico, Alberto Gandolfi, and Matthew Kleban. “Conformal Correlation Functions in the Brownian Loop Soup.” arXiv:1501.05945 [cond-Mat, Physics:hep-Th, Physics:math-Ph], January 23, 2015. http://arxiv.org/abs/1501.05945.
 
* [http://arxiv.org/abs/math/0506337 On the scaling limit of simple random walk excursion measure in the plane] Michael J. Kozdron, 2005
 
* [http://arxiv.org/abs/math/0506337 On the scaling limit of simple random walk excursion measure in the plane] Michael J. Kozdron, 2005
 
* The dimension of the planar Brownian frontier is 4/3 G. F. Lawler, O. Schramm, and W. Werner, Math. Res. Lett., 8:401–411, 2001.
 
* The dimension of the planar Brownian frontier is 4/3 G. F. Lawler, O. Schramm, and W. Werner, Math. Res. Lett., 8:401–411, 2001.
* [http://arxiv.org/abs/math/0007042 Critical exponents, conformal invariance and planar Brownian motion][[Wendelin Werner]], 2000<br>
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* [http://arxiv.org/abs/math/0007042 Critical exponents, conformal invariance and planar Brownian motion][[Wendelin Werner]], 2000
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* [http://math.berkeley.edu/%7Ereb/papers/index.html http://math.berkeley.edu/~reb/papers/index.html]
 
* http://dx.doi.org/
 
 
 
 
 
 
 
 
 
  
 
==question and answers(Math Overflow)==
 
==question and answers(Math Overflow)==

2015년 1월 26일 (월) 21:23 판

introduction

  • scaling limit of a random walk on a two dimensional grid
    • the limit of random walk as the time and space increments go to zero.
  • Mandelbrot conjecture

 

 

heat equation and Brownian motion

 

 

Wiener process

  • synonym with Brown motion
  • example of a Levy process

 

 

 

Mandelbrot conjecture

  • the Hausdorff dimension of the outer boundary of a planar Brownian motion equals 4=3
  • fractal dimension of the frontier of a two dimensional Browninan path is 4/3
  • Schramm–Loewner evolution (SLE)

 

 

 

history

 

 

related items

 

 

 

encyclopedia


 

 

books

 

 

expositions and lecture notes

 

 

articles

question and answers(Math Overflow)