Entropy: Unraveling the Universe's Arrow of Time

This article provides an accessible explanation of entropy. Entropy isn't simply 'disorder,' but rather a measure of uncertainty within a system. From an information theory perspective, entropy represents the number of bits needed to communicate a system's state; from statistical mechanics, it's related to the number of microstates corresponding to a given macrostate. Using the example of balls in a box, the article illustrates the impact of macrostates, microstates, and coarse-graining on entropy and explains why time has a direction: the universe began in a low-entropy state, and systems evolve toward higher entropy states, not because physical laws are irreversible, but because high-entropy states are far more probable. The article also addresses seemingly entropy-violating phenomena, such as oil and water separation, showing that entropy actually increases when all system attributes are considered.
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