论文标题
部分可观测时空混沌系统的无模型预测
Resetting photons
论文作者
论文摘要
从标记的光子的频率扩散过程开始，该光子模拟了Planck定律，我们引入了一个重置，其中光子在随机时间降低其频率。我们考虑两个版本，一个版本，一个版本的重置低频独立于现有频率，而第二种情况下，以原始频率降低了频率尺度的第二种情况。结果是一个非线性马尔可夫过程，在该过程中，固定分布通过丰富的低频职业来修改普朗克法律。这种光子重置过程的物理相关性可以在探索非平衡效应的探索中找到，例如，通过限制的血浆或光子气体的随机扩展或通过物质强烈无弹性散射。
Starting from a frequency diffusion process for a tagged photon which simulates relaxation to the Planck law, we introduce a resetting where photons lower their frequency at random times. We consider two versions, one where the resetting to low frequency is independent of the existing frequency and a second case where the reduction in frequency scales with the original frequency. The result is a nonlinear Markov process where the stationary distribution modifies the Planck law by abundance of low-frequency occupation. The physical relevance of such photon resetting processes can be found in explorations of nonequilibrium effects, e.g., via random expansions of a confined plasma or photon gas or via strongly inelastic scattering with matter.
