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1. |
Record Nr. |
UNINA9910478893003321 |
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Autore |
Tsujishita Tōru <1950-> |
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Titolo |
Continuous cohomology of the Lie algebra of vector fields / / Toru Tsujishita |
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Pubbl/distr/stampa |
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Providence, Rhode Island : , : American Mathematical Society, , [1981] |
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©1981 |
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ISBN |
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Descrizione fisica |
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1 online resource (160 p.) |
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Collana |
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Memoirs of the American Mathematical Society, , 0065-9266 ; ; number 253 |
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Disciplina |
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Soggetti |
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Vector fields |
Lie algebras |
Homology theory |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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""Section 3. Lie algebra cohomology""""3.1. Definitions""; ""3.2. Differential graded modules with Lie algebra actions""; ""3.3. Cohomology of L[sub(0)]""; ""3.4. Weil algebras""; ""Section 4. Frame bundles of manifolds""; ""4.1. Group of formal diffeomorphisms""; ""4.2. Frame bundles""; ""Section 5. Statements of the main results""; ""5.1. The fundamental theorem""; ""5.2. Topological interpretation of H(L[sub(M)], F[sub(M)])""; ""5.3. Compact support coefficients""; ""5.4. Distribution coefficients""; ""5.5. The case of L[sup(c)][sub(M)]""; ""Section 6. Diagonal cohomologies"" |
""6.1. Guillemin-Losik Theorem""""6.2. A strong form of Guillemin-Losik Theorem""; ""6.3. Losik Theorem""; ""6.4. Distribution coefficients""; ""Section 7. Haefliger Theorem""; ""Section 8. Proof of Theorem I""; ""Section 9. Proof of Theorem II""; ""Section 10. Proof of Theorem(1.3.1)""; ""References"" |
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2. |
Record Nr. |
UNINA9910139808503321 |
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Titolo |
Biological Evolution and Statistical Physics / / edited by M. Lässig, A. Valleriani |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
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ISBN |
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Edizione |
[1st ed. 2002.] |
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Descrizione fisica |
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1 online resource (XII, 342 p.) |
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Collana |
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Lecture Notes in Physics, , 0075-8450 ; ; 585 |
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Disciplina |
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Soggetti |
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Evolution (Biology) |
Statistical physics |
Dynamics |
Biophysics |
Bioinformatics |
Biomathematics |
Evolutionary Biology |
Complex Systems |
Biological and Medical Physics, Biophysics |
Mathematical and Computational Biology |
Statistical Physics and Dynamical Systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Based on papers from a workshop held in Dresden, Germany in 2000. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Molecular information and evolution -- Statistical significance and extremal ensemble of gapped local hybrid alignment -- On the design of optimization criteria for multiple sequence alignment -- Red queen dynamics and the evolution of translational redundancy and degeneracy -- A testable genotype-phenotype map: modeling evolution of RNA molecules -- Evolutionary perspectives on protein structure, stability, and functionality -- Phylogeny -- The statistical approach to molecular phylogeny: Evidence for a nonhyperthermophilic common ancestor -- Principles of cophylogenetic maps -- Accounting for phylogenetic uncertainty in comparative studies of evolution and adaptation -- The‘ shape’ of phylogenies under simple random speciation models -- The evolution of populations and species -- Fitness landscapes -- Tempo |
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and mode in quasispecies evolution -- Multilevel processes in evolution and development: Computational models and biological insights -- Evolutionary strategies for solving optimization problems -- Review of biological ageing on the computer -- Spatio-temporal modes of speciation -- Large-scale evolution -- Food web structure and the evolution of ecological communities -- Dynamics and topology of species networks -- Modelling macroevolutionary patterns: An ecological perspective. |
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Sommario/riassunto |
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This set of lecture notes gives a first coherent account of a novel aspect of the living world that can be called biological information. The book presents both a pedagogical and state-of-the art roadmap of this rapidly evolving area and covers the whole field, from information which is encoded in the molecular genetic code to the description of large-scale evolution of complex species networks. The book will prove useful for all those who work at the interface of biology, physics and information science. |
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