论文标题
记忆和熵
Memory and entropy
论文作者
论文摘要
我研究迹线（或记忆）的物理性质。令人惊讶的是，（i）系统分离（ii）温度差异和（iii）长的热量时间，是产生宏观痕迹的足够条件。过去的痕迹无处不在，因为这些条件在我们的宇宙中很大程度上得到了满足。我量化了这些热力学条件的记忆，并得出这些记忆中存储的最大信息的表达，这是相关热力学参数的函数。这种机制将低熵转化为可用信息。
I study the physical nature of traces (or memories). Surprisingly, (i) systems separation with (ii) temperature differences and (iii) long thermalization times, are sufficient conditions to produce macroscopic traces. Traces of the past are ubiquitous because these conditions are largely satisfied in our universe. I quantify these thermodynamical conditions for memory and derive an expression for the maximum amount of information stored in such memories, as a function of the relevant thermodynamical parameters. This mechanism transforms low entropy into available information.
