gibbs entropy造句
例句與造句
- According to the second law of thermodynamics, a system assumes a configuration of Gibbs entropy
- The von Neumann entropy formula is an extension of the Gibbs entropy formula to the quantum mechanical case.
- In any case, however it occurs, the Gibbs entropy increase is irreversible provided the blurring cannot be reversed.
- Moreover, the ensemble evolution equations are fully reversible and do not destroy information ( the ensemble's Gibbs entropy is preserved ).
- Constantino Tsallis has proposed a "'nonextensive entropy "'( Tsallis entropy ), which is a generalization of the traditional Boltzmann Gibbs entropy.
- It's difficult to find gibbs entropy in a sentence. 用gibbs entropy造句挺難的
- When these probabilities are substituted into the above expression for the Gibbs entropy ( or equivalently " k B " times the Shannon entropy ), Boltzmann's equation results.
- Because the number of possible networks in the set vastly outnumbers the number of parameters which can constrain the model, the ideal probability distribution is the one which maximizes the Gibbs entropy.
- Calculating entropy and related quantities from formulas like the Gibbs entropy and the von Neumann entropy is an absolutely everyday occurrence, fundamental for understanding phase transitions, and a whole host of physical properties.
- Liouville's equation is guaranteed to conserve Gibbs entropy since there is no random process acting on the system; in principle, the original ensemble can be recovered at any time by reversing the motion.
- After some time, the ensemble appears to be spread out over phase space, although it is actually a finely striped pattern, with the total volume of the ensemble ( and its Gibbs entropy ) conserved.
- The probability distribution of the system as a whole then factorises into the product of " N " separate identical terms, one term for each particle; and the Gibbs entropy simplifies to the Boltzmann entropy
- It can be shown that the Gibbs entropy formula, with the natural logarithm, reproduces all of the properties of the macroscopic classical thermodynamics of Rudolf Clausius . ( See article : Entropy ( statistical views ) ).
- The setting of Gibbs'entropy production theorem is in ensemble statistical mechanics, and the entropy quantity is the Gibbs entropy ( information entropy ) defined in terms of the probability distribution for the entire state of the system.
- Gibbs considered the motion of an ensemble which initially starts out confined to a small region of phase space, meaning that the state of the system is known with fair precision though not quite exactly ( low Gibbs entropy ).
- The critical point of the theorem is thus : If the fine structure in the stirred-up ensemble is very slightly blurred, for any reason, then the Gibbs entropy increases, and the ensemble becomes an equilibrium ensemble.
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