Logarithmic divergences in the $k$-inflationary power spectra computed through the uniform approximation
Allan L. Alinea, Takahiro Kubota, and Wade Naylor

TL;DR
This paper examines the uniform approximation method for calculating power spectra in $k$-inflation, revealing logarithmic divergences at higher orders that limit the method's applicability and cautioning against over-reliance on existing results.
Contribution
It identifies the order limitations of the uniform approximation in $k$-inflation power spectra calculations and highlights the divergence issues affecting higher-order predictions.
Findings
Power spectra are reliable up to second order.
Tensor-to-scalar ratio is reliable up to third order.
Spectral indices and running converge to all orders.
Abstract
We investigate a calculation method for solving the Mukhanov-Sasaki equation in slow-roll -inflation based on the uniform approximation (UA) in conjunction with an expansion scheme for slow-roll parameters with respect to the number of -folds about the so-called \textit{turning point}. Earlier works on this method has so far gained some promising results derived from the approximating expressions for the power spectra among others, up to second order with respect to the Hubble and sound flow parameters, when compared to other semi-analytical approaches (e.g., Green's function and WKB methods). However, a closer inspection is suggestive that there is a problem when higher-order parts of the power spectra are considered; residual logarithmic divergences may come out that can render the prediction physically inconsistent. Looking at this possibility, we map out up to what order with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
