Warm Inflation Beyond the Markovian Limit
Mayukh R. Gangopadhyay, Nilanjana Kumar

TL;DR
This paper explores how finite correlation times in thermal noise affect warm inflation, showing that memory effects suppress the scalar power spectrum and alter key inflationary parameters, providing diagnostics for model validity.
Contribution
It extends warm inflation theory beyond the Markovian approximation by quantifying the impact of colored noise on primordial spectra and related inflationary observables.
Findings
Memory effects suppress the scalar spectrum.
Finite correlation time modifies the tensor-to-scalar ratio.
Derived simple expressions linking thermal dynamics to non-Markovian effects.
Abstract
Warm inflation is commonly studied under the assumption that the stochastic force sourcing inflaton fluctuations is Markovian. Realistic thermal systems, however, possess finite relaxation times and can therefore generate colored noise with non-zero correlation time. In this work, we investigate warm inflation beyond the Markovian limit and determine how finite correlation time modifies the primordial scalar power spectrum. We show that memory effects suppress the scalar spectrum relative to the standard white-noise result and derive a simple expression for this correction in terms of the background thermal dynamics. In particular, we relate the size of the non-Markovian effect directly to the thermal ratio between the bath temperature and the Hubble scale, thereby establishing a transparent link between warm-inflation background quantities and the validity of the Markovian…
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Taxonomy
TopicsCosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research
