Hidden Symmetries in the 6-Vertex Model of Statistical Physics
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arXiv
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| Format: | Preprint |
| Publié: |
1994
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| _version_ | 1866908416974258176 |
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| author | Korepanov, Igor G. |
| author_facet | Korepanov, Igor G. |
| contents | The transfer matrix of the 6-vertex model of two-dimensional statistical physics commutes with many (more complicated) transfer matrices, but these latter, generally, do not commute between each other. The studying of their action in the eigenspaces of the 6-vertex model transfer matrix becomes possible due to a ``multiplicative property'' of the {\em vacuum curves} of $\cal L$-operators from which transfer matrices are built. This approach allowed, in particular, to discover for the first time the fact that the dimensions of abovementioned eigenspaces must be multiples of (big enough) degrees of the number 2. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_hep_th_9410066 |
| institution | arXiv |
| publishDate | 1994 |
| record_format | arxiv |
| spellingShingle | Hidden Symmetries in the 6-Vertex Model of Statistical Physics Korepanov, Igor G. High Energy Physics - Theory The transfer matrix of the 6-vertex model of two-dimensional statistical physics commutes with many (more complicated) transfer matrices, but these latter, generally, do not commute between each other. The studying of their action in the eigenspaces of the 6-vertex model transfer matrix becomes possible due to a ``multiplicative property'' of the {\em vacuum curves} of $\cal L$-operators from which transfer matrices are built. This approach allowed, in particular, to discover for the first time the fact that the dimensions of abovementioned eigenspaces must be multiples of (big enough) degrees of the number 2. |
| title | Hidden Symmetries in the 6-Vertex Model of Statistical Physics |
| topic | High Energy Physics - Theory |
| url | https://arxiv.org/abs/hep-th/9410066 |