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Adaptive asymptotic solutions of infationary models in the Hamilton-Jacobi formalism: application to T-models

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URI: http://hdl.handle.net/10498/33513

DOI: 10.1007/JHEP10(2024)028

ISSN: 1029-8479

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JHEP10(2024)028.pdf (1.146Mb)
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Author/s
Medina Reus, Elena BlancaAuthority UCA; Álvarez Galindo, Gabriel
Date
2024-10-02
Department
Matemáticas
Source
Journal of High Energy Physics 10 (2024) 028
Abstract
We develop a method to compute the slow-roll expansion for the Hubble parameter in infationary models in a fat Friedmann-Lemaître-Robertson-Walker spacetime that is applicable to a wide class of potentials including monomial, polynomial, or rational functions of the infaton, as well as polynomial or rational functions of the exponential of the infaton. The method, formulated within the Hamilton-Jacobi formalism, adapts the form of the slow roll expansion to the analytic form of the infationary potential, thus allowing a consistent order-by-order computation amenable to Padé summation. Using T-models as an example, we show that Padé summation extends the domain of validity of this adapted slow-roll expansion to the end of infation. Likewise, Padé summation extends the domain of validity of kinetic dominance asymptotic expansions of the Hubble parameter into the fast-roll regime, where they can be matched to the aforesaid Padé-summed slow-roll expansions. This matching in turn determines the relation between the expansions for the number N of e-folds and allows us to compute the total amount of infation as a function of the initial data or, conversely, to select initial data that correspond to a fxed total amount of infation. Using the slow-roll stage expansions, we also derive expansions for the corresponding spectral index ns accurate to order 1/N^2, and tensor-to-scalar ratio r accurate to order 1/N^3 for these T-models.
Subjects
Cosmology of Theories BSM; Cosmological models; Supergravity Models
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  • Articulos Científicos Matemáticas [506]
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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