<ul data-eligibleForWebStory="true"><li>Entropy in a system is maximized when all possible states are equally likely.</li><li>Conversely, entropy is minimized when one outcome is certain to occur.</li><li>Moving towards uniformity increases entropy, while moving away from uniformity decreases entropy.</li><li>Entropy of a system with probabilities pi is defined by a specific formula.</li><li>If one probability is 1 and the rest are 0, entropy is 0.</li><li>When all probabilities are equal (pi = 1/n), entropy is log2(n), which is the maximum entropy.</li><li>The entropy function is concave, leading to entropy decreasing as movements away from uniformity occur.</li><li>Approaching the global maximum entropy of equal state probabilities results in monotonic entropy increase.</li></ul>

Uniformity increases entropy

Discover more