"Monodromy matrix"의 두 판 사이의 차이

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<h5>introduction</h5>
+
==introduction==
 +
* monodromy matrix
 +
:<math>
 +
T(\lambda)=
 +
\left(
 +
\begin{array}{cc}
 +
A(\lambda ) & B(\lambda ) \\
 +
C(\lambda ) & D(\lambda )
 +
\end{array}
 +
\right)
 +
</math>
 +
* describes the transport of the spin around the circular chain
 +
* YBE implies the following [[RTT=TTR relation in spin chains]]
 +
:<math>
 +
RTT=TTR
 +
</math>
 +
* transfer matrix
 +
:<math>
 +
t=\operatorname{tr} T=A+D
 +
</math>  
  
 
 
  
 
+
==definition==
 +
* <math>\lambda</math> : spectral parameter
 +
* <math>R(\lambda)</math> : [[R-matrix]]
 +
* define the Lax matrix
 +
:<math>
 +
\begin{eqnarray}
 +
L_{0 n}(\lambda) &=& R_{0 n}(\lambda - {i\over 2}) \\
 +
&=& \left( \begin{array}{cc}
 +
\alpha_{n}        & \beta_{n}  \\
 +
\gamma_{n}        & \delta_{n}
 +
\end{array} \right)
 +
\,, \qquad n = 1 \,, 2 \,, \ldots \,, N \,,
 +
\end{eqnarray}
 +
</math>
 +
where
 +
<math>\alpha_{n}</math>, <math>\beta_{n}</math>, <math>\gamma_{n}</math>, <math>\delta_{n}</math> are
 +
operators on
 +
:<math>
 +
\begin{eqnarray}
 +
\stackrel{\stackrel{1}{\downarrow}}{V} \otimes \cdots \otimes
 +
\stackrel{\stackrel{n}{\downarrow}}{V} \otimes \cdots \otimes
 +
\stackrel{\stackrel{N}{\downarrow}}{V}
 +
\end{eqnarray}
 +
</math>
 +
* monodromy matrix
 +
:<math>
 +
\begin{eqnarray}
 +
T_{0}(\lambda) &=& L_{0 N}(\lambda) \cdots L_{0 1}(\lambda) \\
 +
&=&
 +
\left(\begin{array}{cc}
 +
\alpha_{N} & \beta_{N} \\
 +
\gamma_{N} & \delta_{N}
 +
\end{array} \right)
 +
\cdots
 +
\left(\begin{array}{cc}
 +
\alpha_{1} & \beta_{1} \\
 +
\gamma_{1} & \delta_{1}
 +
\end{array} \right) \\
 +
&=&
 +
\left(
 +
\begin{array}{cc}
 +
A(\lambda ) & B(\lambda ) \\
 +
C(\lambda ) & D(\lambda )
 +
\end{array}
 +
\right)
 +
\label{monodromy}
 +
\end{eqnarray}
 +
</math>
 +
where
 +
<math>A(\lambda ) ,B(\lambda ) , C(\lambda ) , D(\lambda )</math> are operators acting on <math>V^{\otimes N}</math>
  
<h5>history</h5>
 
  
* http://www.google.com/search?hl=en&tbs=tl:1&q=
 
  
 
+
==related items==
 +
* [[RTT=TTR relation in spin chains]]
 +
* [[A Spin Chain Primer]]
 +
* [[Transfer matrix in statistical mechanics]]
  
 
 
  
<h5>related items</h5>
+
==computational resource==
 +
* https://docs.google.com/file/d/0B8XXo8Tve1cxNWJ5NWNIXzRieGc/edit
 +
  
 
+
[[분류:integrable systems]]
 
+
[[분류:math and physics]]
 
+
[[분류:migrate]]
 
 
<h5 style="line-height: 3.428em; margin: 0px; color: rgb(34, 61, 103); font-family: 'malgun gothic',dotum,gulim,sans-serif; font-size: 1.166em; background-position: 0px 100%;">encyclopedia</h5>
 
 
 
* http://en.wikipedia.org/wiki/
 
* http://www.scholarpedia.org/
 
* [http://eom.springer.de/ http://eom.springer.de]
 
* http://www.proofwiki.org/wiki/
 
* Princeton companion to mathematics([[2910610/attachments/2250873|Companion_to_Mathematics.pdf]])
 
 
 
 
 
 
 
 
 
 
 
<h5>books</h5>
 
 
 
 
 
 
 
* [[2011년 books and articles]]
 
* http://library.nu/search?q=
 
* http://library.nu/search?q=
 
 
 
 
 
 
 
 
 
 
 
<h5>expositions</h5>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
<h5 style="line-height: 3.428em; margin: 0px; color: rgb(34, 61, 103); font-family: 'malgun gothic',dotum,gulim,sans-serif; font-size: 1.166em; background-position: 0px 100%;">articles</h5>
 
 
 
 
 
 
 
* http://www.ams.org/mathscinet
 
* 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/
 
 
 
 
 
 
 
 
 
 
 
<h5>question and answers(Math Overflow)</h5>
 
 
 
* http://mathoverflow.net/search?q=
 
* http://mathoverflow.net/search?q=
 
 
 
 
 
 
 
 
 
 
 
<h5>blogs</h5>
 
 
 
*  구글 블로그 검색<br>
 
**  http://blogsearch.google.com/blogsearch?q=<br>
 
** http://blogsearch.google.com/blogsearch?q=
 
* http://ncatlab.org/nlab/show/HomePage
 
 
 
 
 
 
 
 
 
 
 
<h5>experts on the field</h5>
 
 
 
* http://arxiv.org/
 
 
 
 
 
 
 
 
 
 
 
<h5>links</h5>
 
 
 
* [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/
 

2020년 12월 28일 (월) 05:19 기준 최신판

introduction

  • monodromy matrix

\[ T(\lambda)= \left( \begin{array}{cc} A(\lambda ) & B(\lambda ) \\ C(\lambda ) & D(\lambda ) \end{array} \right) \]

\[ RTT=TTR \]

  • transfer matrix

\[ t=\operatorname{tr} T=A+D \]


definition

  • \(\lambda\) : spectral parameter
  • \(R(\lambda)\) : R-matrix
  • define the Lax matrix

\[ \begin{eqnarray} L_{0 n}(\lambda) &=& R_{0 n}(\lambda - {i\over 2}) \\ &=& \left( \begin{array}{cc} \alpha_{n} & \beta_{n} \\ \gamma_{n} & \delta_{n} \end{array} \right) \,, \qquad n = 1 \,, 2 \,, \ldots \,, N \,, \end{eqnarray} \] where \(\alpha_{n}\), \(\beta_{n}\), \(\gamma_{n}\), \(\delta_{n}\) are operators on \[ \begin{eqnarray} \stackrel{\stackrel{1}{\downarrow}}{V} \otimes \cdots \otimes \stackrel{\stackrel{n}{\downarrow}}{V} \otimes \cdots \otimes \stackrel{\stackrel{N}{\downarrow}}{V} \end{eqnarray} \]

  • monodromy matrix

\[ \begin{eqnarray} T_{0}(\lambda) &=& L_{0 N}(\lambda) \cdots L_{0 1}(\lambda) \\ &=& \left(\begin{array}{cc} \alpha_{N} & \beta_{N} \\ \gamma_{N} & \delta_{N} \end{array} \right) \cdots \left(\begin{array}{cc} \alpha_{1} & \beta_{1} \\ \gamma_{1} & \delta_{1} \end{array} \right) \\ &=& \left( \begin{array}{cc} A(\lambda ) & B(\lambda ) \\ C(\lambda ) & D(\lambda ) \end{array} \right) \label{monodromy} \end{eqnarray} \] where \(A(\lambda ) ,B(\lambda ) , C(\lambda ) , D(\lambda )\) are operators acting on \(V^{\otimes N}\)


related items


computational resource