Logistic map with memory from economic model
By Valentina V. Tarasova, Vasily E. Tarasov. 2017
119 citations recorded by the source corpus.
Abstract A generalization of the economic model of logistic growth, which takes into account the effects of memory and crises, is suggested. Memory effect means that the economic factors and parameters at any given time depend not only on their values at that time, but also on their values at previous times. For the mathematical description of the memory effects, we use the theory of derivatives of non-integer order. Crises are considered as sharp splashes (bursts) of the price, which are mathematically described by the delta-functions. Using the equivalence of fractional differential equations and the Volterra integral equations, we obtain discrete maps with memory that are exact discrete analogs of fractional differential equations of economic processes. We derive logistic map with memory, its generalizations, and “economic” discrete maps with memory from the fractional differential equations, which describe the economic natural growth with competition, power-law memory and crises.
Subfields: Economics and Econometrics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/9d45521eeaf881e2804819ba16ff972c343dd86c
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In Economics and Econometrics
In Statistical and Nonlinear Physics
Citations in the corpus
- On History of Mathematical Economics: Application of Fractional Calculus (2019, background): “• The natural growth model [168,169]; • The growth model with constant pace [170,171]; • The Harrod–Domar model [172,173] and [112,174–176]; • The Keynes model [177–179]; • The dynamic Leontief (intersectoral) model [86,180–182]; • The dynamics of fixed assets (or capital stock) [170,171]; • The log”