2003
DOI: 10.1007/0-387-21713-4
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Statistical Physics and Economics: Concepts, Tools and Applications

Abstract: Statistical physics and economics : concepts, tools, and applications I Michael Schulz. p. ern. -(Springer tracts in modern physics ; 184) Includes bibliographical references and index.

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Cited by 25 publications
(21 citation statements)
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“…For simplicity, we assume the price splashes (bursts) are periodic with period T>0 and we will describe them by the Dirac delta-function, which is a generalized function [23,24]. The Dirac delta-function has an important role in modern economics and finance [25,26,27]. In general, it is possible to consider different values of the intervals between the bursts of the price.…”
Section: Equation Of Logistic Growth With Memory and Crisesmentioning
confidence: 99%
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“…For simplicity, we assume the price splashes (bursts) are periodic with period T>0 and we will describe them by the Dirac delta-function, which is a generalized function [23,24]. The Dirac delta-function has an important role in modern economics and finance [25,26,27]. In general, it is possible to consider different values of the intervals between the bursts of the price.…”
Section: Equation Of Logistic Growth With Memory and Crisesmentioning
confidence: 99%
“…This map is used to describe different economic processes [32,33,34,35]. As a result, we can state that the standard logistic map (27) can be derived from the logistic differential equation (3)…”
Section: Economic Maps With Memory and Logistic Maps With Memorymentioning
confidence: 99%
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“…On the other hand, statistical physics is a wellestablished field with many interdisciplinary applications in recent decades, in particular with regards to criticality and phase transitions [13][14][15]. Accordingly, connections between quantum information theory and classical statistical mechanics has attracted much attention recently [16][17][18][19][20][21], which has led to cross-fertilization.…”
Section: Introductionmentioning
confidence: 99%
“…Complex networks have been shown to characterize the behavior and topological organization of many natural and engineered systems, such as those found in the disciplines of sociology [3], biology [4], finance [5], communication networks [6], sensor networks etc. A common feature across all these multi-agent systems is that their global behavior emerges from local dynamics of the participating agents.…”
Section: Introductionmentioning
confidence: 99%