A ribbon graph derivation of the algebra of functional renormalization for random multi-matrices with multi-trace interactions.
Lett Math Phys
; 112(3): 58, 2022.
Article
em En
| MEDLINE
| ID: mdl-35706900
ABSTRACT
We focus on functional renormalization for ensembles of several (say n ≥ 1 ) random matrices, whose potentials include multi-traces, to wit, the probability measure contains factors of the form exp [ - Tr ( V 1 ) × â¯ × Tr ( V k ) ] for certain noncommutative polynomials V 1 ,
, V k ∈ C ⟨ n ⟩ in the n matrices. This article shows how the "algebra of functional renormalization"-that is, the structure that makes the renormalization flow equation computable-is derived from ribbon graphs, only by requiring the one-loop structure that such equation (due to Wetterich) is expected to have. Whenever it is possible to compute the renormalization flow in terms of U ( N ) -invariants, the structure gained is the matrix algebra M n ( A n , N , â ) with entries in A n , N = ( C ⟨ n ⟩ â C ⟨ n ⟩ ) â ( C ⟨ n ⟩ â C ⟨ n ⟩ ) , being C ⟨ n ⟩ the free algebra generated by the n Hermitian matrices of size N (the flowing random variables) with multiplication of homogeneous elements in A n , N given, for each P , Q , U , W ∈ C ⟨ n ⟩ , by ( U â W ) â ( P â Q ) = P U â W Q , ( U â W ) â ( P â Q ) = U â P W Q , ( U â W ) â ( P â Q ) = W P U â Q , ( U â W ) â ( P â Q ) = Tr ( W P ) U â Q , which, together with the condition ( λ U ) â W = U â ( λ W ) for each complex λ , fully define the symbol â .
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Base de dados:
MEDLINE
Tipo de estudo:
Clinical_trials
/
Prognostic_studies
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article