"Transfer matrix in statistical mechanics"의 두 판 사이의 차이

수학노트
둘러보기로 가기 검색하러 가기
imported>Pythagoras0
 
(사용자 2명의 중간 판 12개는 보이지 않습니다)
1번째 줄: 1번째 줄:
 
==introduction==
 
==introduction==
* transfer matrix is builtup from matrices of  Boltzmann weights
+
* transfer matrix is builtup from matrices of Boltzmann weights
* trace of monodromy matrix is the transfer matrix
+
* trace of [[Monodromy matrix]] is the transfer matrix
 
* finding eigenvalues and eigenvectors of transfer matrix is crucial
 
* finding eigenvalues and eigenvectors of transfer matrix is crucial
* [[Bethe ansatz]] equation is used to find the eigenvectors and eigenvalues of the transfer matrix
+
* partition function = trace of power of transfer matrices
* partition function = trace of power of transfer matrices
+
* so the partition function is calculated in terms of the eigenvalues of the transfer matrix
* so the partition function  is calculated in terms of the eigenvalues of the transfer matrix
 
 
* then the problem of solving the model is reduced to the computation of this trace
 
* then the problem of solving the model is reduced to the computation of this trace
  
  
==정의==
+
==Bethe ansatz==
* 스핀 $s_i\, i=1,\cdots, N$과 주기조건 $s_{N+1}=s_1$을 가정
+
* [[Bethe ansatz]] equation is used to find the eigenvectors and eigenvalues of the transfer matrix
* 스핀 $s_i$과 $s_{i+1}$의 상호작용 $E(s_i,s_{i+1})$
 
* 해밀토니안이 $H=\sum_{i=1}^{N} E(s_i,s_{i+1})$ 꼴로 쓰여지는 경우
 
* 전달행렬을 $T_{s_i,s_{i+1}}=\exp(-\beta E(s_i,s_{i+1})$ 꼴로 쓸 수 있으며, 분배함수는 다음과 같이 주어진다
 
$$
 
Z_N=\sum_{s_1,\cdots,s_N}T_{s_1,s_2}\cdots,T_{s_N,s_1}=\operatorname{Tr} T^n
 
$$
 
* 자유에너지는 다음과 같다
 
$$
 
f=-\frac{1}{\beta}\lim_{N\to \infty}\frac{\ln \Lambda_0^N}{N}=-\frac{1}{\beta}\ln \Lambda_0
 
$$
 
 
 
 
 
==transfer matrix of the 1D Ising model==
 
 * [[1d Ising model]]
 
 
 
 
 
==transfer matrix of the 2D Ising model==
 
* [[Ising model on rectangular lattice]]
 
 
 
  
  
35번째 줄: 15번째 줄:
 
* [[Six-vertex model and Quantum XXZ Hamiltonian]]
 
* [[Six-vertex model and Quantum XXZ Hamiltonian]]
  
 
+
 
 
 
 
==history==
 
 
 
* http://www.google.com/search?hl=en&tbs=tl:1&q=
 
 
 
 
 
 
 
 
 
  
 
==related items==
 
==related items==
 
* [[S-matrix or scattering matrix]]
 
* [[S-matrix or scattering matrix]]
 
+
* [[1d Ising model]]
 
+
* [[Ising model on rectangular lattice]]
 
 
==encyclopedia==
 
 
 
* http://en.wikipedia.org/wiki/
 
* http://www.scholarpedia.org/
 
* http://www.proofwiki.org/wiki/
 
 
 
 
 
 
 
 
 
 
 
 
 
==books==
 
 
 
 
 
 
 
* [[2010년 books and articles]]<br>
 
* http://gigapedia.info/1/
 
* http://gigapedia.info/1/
 
* http://www.amazon.com/s/ref=nb_ss_gw?url=search-alias%3Dstripbooks&field-keywords=
 
 
 
  
  
 
 
 
 
 
  
 
==expositions==
 
==expositions==
 
+
* “The Kramers-Wannier Transfer Matrix.1980. In The Ruelle-Araki Transfer Operator in Classical Statistical Mechanics, 13–39. Lecture Notes in Physics 123. Springer Berlin Heidelberg. http://link.springer.com/chapter/10.1007/BFb0017921.
* Anon.1980. The Ruelle-Araki Transfer Operator in Classical Statistical Mechanics. Vol. 123. Berlin/Heidelberg: Springer-Verlag.[http://www.springerlink.com/content/f12j034740601kjx/. ]http://www.springerlink.com/content/f12j034740601kjx/.<br>  <br> 
 
 
 
 
 
 
 
==articles==
 
 
 
 
 
 
 
* http://www.ams.org/mathscinet
 
* [http://www.zentralblatt-math.org/zmath/en/ ]http://www.zentralblatt-math.org/zmath/en/
 
* http://arxiv.org/
 
* http://www.pdf-search.org/
 
* http://pythagoras0.springnote.com/
 
* [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)==
 
 
 
* http://mathoverflow.net/search?q=
 
* http://mathoverflow.net/search?q=
 
 
 
 
 
 
 
 
 
 
 
==blogs==
 
 
 
*  구글 블로그 검색<br>
 
**  http://blogsearch.google.com/blogsearch?q=<br>
 
** http://blogsearch.google.com/blogsearch?q=
 
* http://ncatlab.org/nlab/show/HomePage
 
 
 
 
 
 
 
 
 
 
 
==experts on the field==
 
 
 
* http://arxiv.org/
 
 
 
 
 
 
 
 
 
 
 
==links==
 
 
 
* [http://detexify.kirelabs.org/classify.html Detexify2 - LaTeX symbol classifier]
 
* [http://pythagoras0.springnote.com/pages/1947378 수식표현 안내]
 
* [http://www.research.att.com/%7Enjas/sequences/index.html The On-Line Encyclopedia of Integer Sequences]
 
* http://functions.wolfram.com/
 
 
[[분류:개인노트]]
 
[[분류:개인노트]]
 
[[분류:integrable systems]]
 
[[분류:integrable systems]]
 
[[분류:math and physics]]
 
[[분류:math and physics]]
 +
[[분류:migrate]]

2020년 12월 28일 (월) 05:07 기준 최신판

introduction

  • transfer matrix is builtup from matrices of Boltzmann weights
  • trace of Monodromy matrix is the transfer matrix
  • finding eigenvalues and eigenvectors of transfer matrix is crucial
  • partition function = trace of power of transfer matrices
  • so the partition function is calculated in terms of the eigenvalues of the transfer matrix
  • then the problem of solving the model is reduced to the computation of this trace


Bethe ansatz

  • Bethe ansatz equation is used to find the eigenvectors and eigenvalues of the transfer matrix


transfer matrix of the six-vertex model


related items


expositions