Definition of «entropy»

Entropy is a measure of disorder or randomness in a system. In thermodynamics, it refers to the degree of energy dispersal within a closed system and how it affects the probability of a system's future state. It can also be applied to other fields such as information theory, where entropy represents the uncertainty or randomness of data.

Usage examples

  1. The concept of entropy is used in thermodynamics to describe the measure of disorder or randomness in a system.
  2. In information theory, entropy quantifies the average amount of information contained in a message, where higher entropy indicates more uncertainty or unpredictability in the message.
  3. Entropy is also used in data science and machine learning to measure the impurity or disorder of a set of data, commonly in decision tree algorithms.
  4. The second law of thermodynamics states that entropy in a closed system will always increase over time, leading to the concept of increased disorder or chaos.
  5. In statistical mechanics, entropy plays a crucial role in determining the equilibrium state of a system and the direction of spontaneous processes.

Sentences with «entropy»

  • This revealed a remarkable increase in entropy in the more primitive network, indicating there was an increased number of patterns of activity that were possible under the influence of psilocybin. (sciencedaily.com)
  • yes Could God have ordered the extraordinatry initial low entropy state of the universe such that these events would occur? (religion.blogs.cnn.com)
  • Second, the inferences that are made to the outcomes of events by the mechanistic model may serve as a constraint on entropy maximization. (knowledgetothemax.com)
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