2020
DOI: 10.1007/jhep06(2020)090
|View full text |Cite
|
Sign up to set email alerts
|

Bootstraps to strings: solving random matrix models with positivity

Abstract: A new approach to solving random matrix models directly in the large N limit is developed. First, a set of numerical values for some low-pt correlation functions is guessed. The large N loop equations are then used to generate values of higher-pt correlation functions based on this guess. Then one tests whether these higher-pt functions are consistent with positivity requirements, e.g., tr M 2k ≥ 0. If not, the guessed values are systematically ruled out. In this way, one can constrain the correlation function… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
101
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 59 publications
(106 citation statements)
references
References 20 publications
0
101
1
Order By: Relevance
“…Our work is directly inspired by a recent beautiful paper by Lin [18], with a similar approach also being employed in Ref. [19].…”
mentioning
confidence: 99%
“…Our work is directly inspired by a recent beautiful paper by Lin [18], with a similar approach also being employed in Ref. [19].…”
mentioning
confidence: 99%
“…This gives general constraints on the possible values that the observables can take. Examples of interesting physical systems that have been recently studied using such methods include strongly coupled conformal field theories (CFTs) [1], scattering amplitudes [2,3], and random matrix models [4]. These studies JHEP10(2020)069…”
Section: Jhep10(2020)069mentioning
confidence: 99%
“…Triple overlap integrals such as these are natural objects associated to any closed manifold. 4 We can also expand products involving derivatives of eigenfunctions,…”
Section: Eigenmode Expansionsmentioning
confidence: 99%
See 2 more Smart Citations