English

Threshold and infrared singularities: time evolution, asymptotic state and entanglement entropy

High Energy Physics - Phenomenology 2022-03-16 v2 High Energy Physics - Theory Quantum Physics

Abstract

Threshold and infrared divergences are studied as possible mechanisms of particle production and compared to the usual decay process in a model quantum field theory from which generalizations are obtained. A spectral representation of the propagator of the decaying particle suggests that decay, threshold and infrared singularities while seemingly different phenomena are qualitatively related. We implement a non-perturbative dynamical resummation method to study the time evolution of an initial state. It is manifestly unitary and yields the asymptotic state and the distribution function of produced particles. Whereas the survival probability in a decay process falls off as eΓte^{-\Gamma t}, for threshold and infrared divergent cases falls off instead as et/te^{-\sqrt{t/t^*}} and tΔt^{-\Delta} respectively, with Γ,Δ(coupling)2\Gamma, \Delta \propto (coupling)^2 whereas 1/t(coupling)41/t^* \propto (coupling)^4. Despite the different decay dynamics, the asymptotic state is qualitatively similar: a kinematically entangled state of the daughter particles with a distribution function which fulfills the unitarity condition and is strongly peaked at energy conserving transitions but broadened by the "lifetime" 1/Γ ; t1/\Gamma~;~ t^* for usual decay and threshold singularity, whereas it scales with the anomalous dimension Δ\Delta for the infrared singular case. Threshold and infrared instabilities are production mechanisms just as efficient as particle decay. If one of the particles is in a dark sector and not observed, the loss of information yields an entanglement entropy determined by the distribution functions and increases upon unitary time evolution.

Keywords

Cite

@article{arxiv.2201.04701,
  title  = {Threshold and infrared singularities: time evolution, asymptotic state and entanglement entropy},
  author = {Daniel Boyanovsky},
  journal= {arXiv preprint arXiv:2201.04701},
  year   = {2022}
}

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published version

R2 v1 2026-06-24T08:48:16.862Z