Superstatistics describes nonequilibrium steady states as superpositions of canonical ensembles with a probability distribution of temperatures. Rather than assume a certain distribution of temperature, recently [2020 J. Phys. A: Math. Theor. 53 045004] we have discussed general conditions under which a system in contact with a finite environment can be described by superstatistics together with a physically interpretable, microscopic definition of temperature. In this work, we present a new interpretation of this result in terms of the standard maximum entropy principle using conditional expectation constraints, and provide an example model where this framework can be tested.

中文翻译：

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条件最大熵和超统计

超统计将非平衡稳态描述为具有温度概率分布的规范合奏的叠加。最近，[2020 J. Phys。答：数学。理论。53 045004]我们讨论了一般条件，在该条件下，可以通过超统计以及温度的可物理解释的微观定义来描述与有限环境接触的系统。在这项工作中，我们使用条件期望约束根据标准最大熵原理对这个结果进行了新的解释，并提供了可以测试此框架的示例模型。