Basic information theory, thermo-limits for network structures
Language: English
Published by LAP LAMBERT Academic Publishing Nov 2012, 2012
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 60.06
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This item is printed on demand - it takes 3-4 days longer - Neuware -For suitably defined empirical measures of a class of models of sparse coloured random graphs, we prove large deviation principles,with rate functions explicitly expressed in terms of relative entropies, in the weak topology. Also, under fairly general assumption we prove a joint large deviation principle (LDP), for the empirical pair measure and empirical offspring measure of multitype Galton-Watson tree conditioned to have exactly n vertices in the weak topology. Using these large deviation principles, we find asymptotic equipartition properties for hierarchical structures (modelled as multitype Galton-Watson trees) and networked structures (modelled as coloured random graphs). From our LDP results, we compute Thermodynamic limit of physical quantities such as the magnetization, specific heat, internal energy, susceptibility for the ferromagnetic Ising model on a finite random network. 184 pp. Englisch.
Seller Inventory # 9783659260346
- Title
- Basic information theory, thermo-limits for network structures
- Author
- Kwabena Doku-Amponsah
- Publisher
- LAP LAMBERT Academic Publishing Nov 2012
- Publication year
- 2012
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3659260347
- ISBN 13
- 9783659260346
- Item weight
- 292 grams
- Dimensions
- 220x150x12 mm
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About the Author
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BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
Shipping rates from Germany to U.S.A.
| Item | 5 to 15 business days | 5 to 15 business days |
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BuchWeltWeit Ludwig Meier e.K.
Germany
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