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by oh_my_goodness
1520 days ago
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We seem to be stuck in a loop of explaining basic first-year statistical mechanics back and forth to each other repeatedly. I'm not sure why. I'm making a pedagogical point. The OP addresses how difficult entropy is to understand. I'm responding to that. We don't need to talk about "knowledge" when you define entropy, or in an initial explanation of entropy. We could, but we could decide not to. The log(x) example is a good one. First-time students who are learning about logarithms don't need to be told that a logarithm depends on 'knowledge' or on 'information.' It's ok to just tell them how logarithm is defined. Sure, there is information. I'm saying it's confusing and unnecessary to introduce more big ideas like information, when the topic is "entropy is difficult to understand" or "logarithms are difficult to understand." |
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And I totally agree, entropy is a property of a macrostate. The information step comes inseparably in when you go from a system description to a macrostate. And you might just shuffle the confusion from not knowing what entropy is to not knowing what a macrostate is.
If you think it's clearer to teach students by explaining that the entropy of a macrostate is an objective property of that macrostate, that's fine. Just don't leave them believing that the entropy of a brick is an objective property of that brick.