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Lyapunov-Meyer functions and distance measure from generalized Fisher's equations
- Source :
- IFAC-PapersOnLine. 48:115-119
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- The main goal of this report is to do the next step in the investigation of generalized Fisher's (replicator) equations. Recently Lyapunov-Meyer function was constructed by the author for above equation as relative entropy. In this paper we prove that negative relative entropy is a convex function for a probability space and receive new distance measure between two probability distributions. Also we use Legendre-Donkin-Fenchel transformation for dual coordinates. In particular it follows from these cross-disciplinary issue that nonlinear pairwise interactions is the origin of all known entropy functions.
- Subjects :
- Differential entropy
Generalized relative entropy
Kullback–Leibler divergence
Control and Systems Engineering
Principle of maximum entropy
Maximum entropy probability distribution
Mathematical analysis
Maximum entropy thermodynamics
Applied mathematics
Quantum relative entropy
Joint quantum entropy
Mathematics
Subjects
Details
- ISSN :
- 24058963
- Volume :
- 48
- Database :
- OpenAIRE
- Journal :
- IFAC-PapersOnLine
- Accession number :
- edsair.doi...........31064716ea3a235325e32b1917246e5d
- Full Text :
- https://doi.org/10.1016/j.ifacol.2015.09.169