Through Monte Carlo Simulation, the well-known majority-vote model has been studied with noise on directed random graphs. In order to characterize completely the observed order-disorder phase transition, the critical noise parameter q c , as well as the critical exponents β/ν, γ /ν and 1/ν have been
Randomness, evenness, and Rényi’s index
✍ Scribed by Iddo Eliazar
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 235 KB
- Volume
- 390
- Category
- Article
- ISSN
- 0378-4371
No coin nor oath required. For personal study only.
✦ Synopsis
This paper links together the notion of entropy and the notion of inequality indices-the former is applied in Statistical Physics to measure randomness, and the latter is applied in Economics to measure evenness. We explore the profound similarities between these diametric notions, construct a mathematical transformation between them, and show how randomness can be used to measure evenness -and vice versa. In particular, we devise and study Rényi's index-a randomness-based measure of evenness with special properties. Rényi's index is established as an effectual gauge of statistical heterogeneity in the context of general probability laws defined on the positive half-line.
📜 SIMILAR VOLUMES
Affirming a conjecture of Erdo s and Re nyi we prove that for any (real number) c 1 >0 for some c 2 >0, if a graph G has no c 1 (log n) nodes on which the graph is complete or edgeless (i.e., G exemplifies |G | Ä % (c 1 log n) 2 2 ), then G has at least 2 c 2 n non-isomorphic (induced) subgraphs. 1