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| Report/Journal Article | PUBDB-2017-01557 |
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2017
Springer
Berlin
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Please use a persistent id in citations: doi:10.1007/JHEP03(2017)163 doi:10.3204/PUBDB-2017-01557
Report No.: IFT-UAM-CSIC-16-128 DESY-16-224; arXiv:1611.07059
Abstract: We develop a stochastic description of small-field inationary histories witha graceful exit in a random potential whose Hessian is a Gaussian random matrix as amodel of the unstructured part of the string landscape. The dynamical evolution in sucha random potential from a small-field ination region towards a viable late-time de Sitter(dS) minimum maps to the dynamics of Dyson Brownian motion describing the relaxationof non-equilibrium eigenvalue spectra in random matrix theory. We analytically computethe relaxation probability in a saddle point approximation of the partition function ofthe eigenvalue distribution of the Wigner ensemble describing the mass matrices of thecritical points. When applied to small-field ination in the landscape, this leads to anexponentially strong bias against small-field ranges and an upper bound $N\ll$ 10 on thenumber of light fields $N$ participating during ination from the non-observation of negativespatial curvature.
Keyword(s): matrix model: random ; potential: random ; inflation ; landscape ; saddle-point approximation ; critical phenomena ; partition function ; Brownian motion ; stochastic ; curvature ; de Sitter ; history ; string
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Inflation with a graceful exit in a random landscape
Red Report 29 pp. (2016) [10.3204/PUBDB-2016-06064]
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