Generalized Memory: Fractional Calculus Approach

By Vasily E. Tarasov. Fractal and Fractional, 2018

79 citations recorded by the source corpus.

The memory means an existence of output (response, endogenous variable) at the present time that depends on the history of the change of the input (impact, exogenous variable) on a finite (or infinite) time interval. The memory can be described by the function that is called the memory function, which is a kernel of the integro-differential operator. The main purpose of the paper is to answer the question of the possibility of using the fractional calculus, when the memory function does not have a power-law form. Using the generalized Taylor series in the Trujillo-Rivero-Bonilla (TRB) form for the memory function, we represent the integro-differential equations with memory functions by fractional integral and differential equations with derivatives and integrals of non-integer orders. This allows us to describe general economic dynamics with memory by the methods of fractional calculus. We prove that equation of the generalized accelerator with the TRB memory function can be represented by as a composition of actions of the accelerator with simplest power-law memory and the multi-parametric power-law multiplier. As an example of application of the suggested approach, we consider a generalization of the Harrod-Domar growth model with continuous time.

Subfields: Economics and Econometrics, Finance, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/e8af2eef28970a65c7600c82bb31befb9307dccb

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In Economics and Econometrics

  1. Vasily E. Tarasov

In Finance

  1. Vasily E. Tarasov

In Modeling and Simulation

  1. Vasily E. Tarasov
  2. Om Prakash Agrawal
  3. Valentina V. Tarasova
  4. Martin Ostoja-Starzewski
  5. Jun Li
  6. Dumitru Băleanu

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