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- W4287598554 abstract "Boltzmann's entropy is an important feature of any dynamic system. Calculating Boltzmann's entropy directly as the logarithm of the total number of microstates for a current macrostate is difficult for large systems. In the case of studying the diffusion of $k$-mers (linear segments of $k$ adjacent cells) on a lattice, the complexity of counting the possible microstates grows exponentially with the number of $k$-mers in the system. The obvious solution to this problem is to obtain only an estimate for the entropy, as this is faster to calculate. The 2D sliding window technique can be used to divide a system of $k$-mers on a lattice into subsystems. We use Ma's coincidence method to estimate the total number of possible states for such subsystems. In this study, the accuracy of Ma's method is studied in a simple combinatory model, both experimentally and theoretically. We determine which definition of coincidence for this scheme leads to greater accuracy. Where complex interactions between $k$-mers are ignored, Ma's estimate of the number of possible states for a system of $k$-mers correlates well with the estimate obtained using a naive method." @default.
- W4287598554 created "2022-07-25" @default.
- W4287598554 creator A5008730023 @default.
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- W4287598554 date "2020-11-13" @default.
- W4287598554 modified "2023-09-24" @default.
- W4287598554 title "Calculating entropy by Ma's method for a system of $k$-mers on a square lattice" @default.
- W4287598554 doi "https://doi.org/10.48550/arxiv.2011.06976" @default.
- W4287598554 hasPublicationYear "2020" @default.
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