Probability Distributions for Quantum Stress Tensors Measured in a Finite Time Interval

TL;DR

This paper investigates the probability distributions of quantum stress tensor measurements averaged over finite time intervals, revealing that such averaging leads to distributions with heavy tails, implying significant vacuum fluctuation effects.

Contribution

It provides the first detailed analysis of how finite-time averaging affects the asymptotic behavior of quantum stress tensor probability distributions.

Findings

Distributions decay more slowly than Lorentzian averages.

Vacuum fluctuations can dominate thermal fluctuations under certain conditions.

Heavy tails in the distribution indicate large vacuum fluctuation probabilities.

Abstract

A meaningful probability distribution for measurements of a quantum stress tensor operator can only be obtained if the operator is averaged in time or in spacetime. This averaging can be regarded as a description of the measurement process. Realistic measurements can be expected to begin and end at finite times, which means that they are described by functions with compact support, which we will also take to be smooth. Here we study the probability distributions for stress tensor operators averaged with such functions of time, in the vacuum state of a massless free field. Our primary aim is to understand the asymptotic form of the distribution which describes the probability of large vacuum fluctuations. Our approach involves asymptotic estimates for the high moments of the distribution. These estimates in turn may be used to obtain estimates for the asymptotic form of the probability distribution. Our results show that averaging over a finite interval results in a probability distribution which falls more slowly than for the case of Lorentzian averaging, and both fall more slowly than exponentially. This indicates that vacuum fluctuations effects can dominate over thermal fluctuations in some circumstances.