2019
DOI: 10.1007/jhep09(2019)052
|View full text |Cite
|
Sign up to set email alerts
|

Separation of variables and scalar products at any rank

Abstract: Separation of variables (SoV) is a special property of integrable models which ensures that the wavefunction has a very simple factorised form in a specially designed basis. Even though the factorisation of the wavefunction was recently established for higher rank models by two of the authors and G. Sizov, the measure for the scalar product was not known beyond the case of rank one symmetry. In this paper we show how this measure can be found, bypassing an explicit SoV construction. A key new observation is th… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

4
109
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8

Relationship

4
4

Authors

Journals

citations
Cited by 49 publications
(114 citation statements)
references
References 78 publications
(136 reference statements)
4
109
0
Order By: Relevance
“…We found the quantum Baxter TQrelations, which together with the quantization condition [7,8], give us direct access to the quantum spectrum of the model in complete generality. 15 This also opens ways to the separation of variables (SoV) construction, along the lines of the recent works [24][25][26][27].…”
Section: Resultsmentioning
confidence: 92%
“…We found the quantum Baxter TQrelations, which together with the quantization condition [7,8], give us direct access to the quantum spectrum of the model in complete generality. 15 This also opens ways to the separation of variables (SoV) construction, along the lines of the recent works [24][25][26][27].…”
Section: Resultsmentioning
confidence: 92%
“…Another reason why Q-functions with more than one index are important is that they appear to play a key role in the separation of variables for higher rank models, as observed recently in[41].…”
mentioning
confidence: 85%
“…Recently similar techniques were developed for non-compact spin chains in [41], extending the Sklyanin scalar product in SoV beyond simplest gl(2)-type models.…”
Section: From the Qsc To Correlators: Examplementioning
confidence: 99%
“…However one can alternatively arrive at the same expression by following our argument as we show in appendix C; namely by rewriting the SoV integral for the norm [71] and factorizing it into two pieces. Such a trick would be useful for guessing the integral representation for the overlaps in higher-rank spin chains, for which the SoV integrals for the norms were discussed in [72,73].…”
Section: Jhep09(2020)180mentioning
confidence: 99%