dorsal/arxiv
View SchemaMultiresolution analysis in statistical mechanics. I. Using wavelets to calculate thermodynamic properties
| Authors | Ahmed E. Ismail, Gregory C. Rutledge, George Stephanopoulos |
|---|---|
| Categories | |
| ArXiv ID | physics/0212079 |
| URL | https://arxiv.org/abs/physics/0212079 |
| DOI | 10.1063/1.1543581 |
| Journal | J. Chem. Phys., 118 (2003) 4414 |
Abstract
The wavelet transform, a family of orthonormal bases, is introduced as a technique for performing multiresolution analysis in statistical mechanics. The wavelet transform is a hierarchical technique designed to separate data sets into sets representing local averages and local differences. Although one-to-one transformations of data sets are possible, the advantage of the wavelet transform is as an approximation scheme for the efficient calculation of thermodynamic and ensemble properties. Even under the most drastic of approximations, the resulting errors in the values obtained for average absolute magnetization, free energy, and heat capacity are on the order of 10%, with a corresponding computational efficiency gain of two orders of magnitude for a system such as a $4\times 4$ Ising lattice. In addition, the errors in the results tend toward zero in the neighborhood of fixed points, as determined by renormalization group theory.
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"abstract": "The wavelet transform, a family of orthonormal bases, is introduced as a\ntechnique for performing multiresolution analysis in statistical mechanics. The\nwavelet transform is a hierarchical technique designed to separate data sets\ninto sets representing local averages and local differences. Although\none-to-one transformations of data sets are possible, the advantage of the\nwavelet transform is as an approximation scheme for the efficient calculation\nof thermodynamic and ensemble properties. Even under the most drastic of\napproximations, the resulting errors in the values obtained for average\nabsolute magnetization, free energy, and heat capacity are on the order of 10%,\nwith a corresponding computational efficiency gain of two orders of magnitude\nfor a system such as a $4\\times 4$ Ising lattice. In addition, the errors in\nthe results tend toward zero in the neighborhood of fixed points, as determined\nby renormalization group theory.",
"arxiv_id": "physics/0212079",
"authors": [
"Ahmed E. Ismail",
"Gregory C. Rutledge",
"George Stephanopoulos"
],
"categories": [
"physics.chem-ph",
"physics.comp-ph"
],
"doi": "10.1063/1.1543581",
"journal_ref": "J. Chem. Phys., 118 (2003) 4414",
"title": "Multiresolution analysis in statistical mechanics. I. Using wavelets to calculate thermodynamic properties",
"url": "https://arxiv.org/abs/physics/0212079"
},
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