Version 1
: Received: 3 January 2021 / Approved: 5 January 2021 / Online: 5 January 2021 (14:04:57 CET)
How to cite:
Xie, M. The Approximation of Entropy for Smoluchowski Coagulation Equation With TEMOM. Preprints2021, 2021010096. https://doi.org/10.20944/preprints202101.0096.v1
Xie, M. The Approximation of Entropy for Smoluchowski Coagulation Equation With TEMOM. Preprints 2021, 2021010096. https://doi.org/10.20944/preprints202101.0096.v1
Xie, M. The Approximation of Entropy for Smoluchowski Coagulation Equation With TEMOM. Preprints2021, 2021010096. https://doi.org/10.20944/preprints202101.0096.v1
APA Style
Xie, M. (2021). The Approximation of Entropy for Smoluchowski Coagulation Equation With TEMOM. Preprints. https://doi.org/10.20944/preprints202101.0096.v1
Chicago/Turabian Style
Xie, M. 2021 "The Approximation of Entropy for Smoluchowski Coagulation Equation With TEMOM" Preprints. https://doi.org/10.20944/preprints202101.0096.v1
Abstract
In this paper, the definition of information entropy of Smoluchowski coagulation equation for Brownian motion is introduced based on coagulation probability. The expression of entropy is the function of geometric average particle volume and standard deviation with lognormal distribution assumption. The asymptotic solution with moment method shows that the entropy is a monotone increasing function of time, which is equivalence to the entropy based on particle size distribution. the result reveals that the present definition of entropy of Smoluchowski coagulation equation are inadequate because the particle average volume at equilibrium cannot be determined from the principle of maximum entropy. This provides a basis for further exploring the global properties of Smoluchowski coagulation equation.
Keywords
information entropy; Brownian coagulation; moment method; coagulation probability; particle size distribution
Subject
Chemistry and Materials Science, Analytical Chemistry
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
