Abstract
In this Comment, we correct misprints in equations of the paper “Fractional Nonlinear Dynamics of Learning with Memory” Nonlinear Dynamics. 2020. Vol.100. P.1231–1242. We also give conditions of the existence of solutions for nonlinear fractional differential equation, which correct the conditions given in Propositions 3.8 and 3.9 of the book (Theory and applications of fractional differential equations, Elsevier, Amsterdam, 2006). These conditions impose restrictions on the existence of solutions of nonlinear equations that describe the dynamics of learning with memory. Using these conditions, we give the correct formulations of the principle of inevitability of growth for process with memory and the principle of changing growth rates by memory, which are proposed in the commented article.
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Tarasov, V.E.: Fractional nonlinear dynamics of learning with memory. Nonlinear Dyn. 100(2), 1231–1242 (2020). https://doi.org/10.1007/s11071-020-05602-w
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Tarasov, V.E., Tarasova, V.V.: Economic Dynamics with Memory: Fractional Calculus Approach. De Gruyter, Berlin, Boston (2020)
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Appendix
Appendix
In this Appendix, we give the proof of the form of the explicit solution of a nonlinear fractional differential equation, and then we obtain conditions for the existence of this solution.
Let us consider the nonlinear fractional differential equation
where \(n_0 > 0\), \(t>t_0\), \(\delta \in \mathbb {R}\) and \(\alpha >0\) is non-integer positive parameter \(\alpha \in (n-1,n)\), \(n \in \mathbb {N}\).
We will seek a solution in the power-law form
where the coefficients \(C >0\), and b are real constants, \(t>t_0\). Substituting equation (18) into fractional differential equation (17), we obtain the equality
We should consider the following three cases: (1) the real values \(b>n-1\); (2) the non-negative integer values \(b \le n-1\); (3) the other real values \(b \le n-1\).
For \(b>n-1\), we should use the equation of the Caputo fractional derivative of the power-law function in the form
for non-integer values of \(\alpha \in (n-1,n)\), \(n \in \mathbb {N}\). Using (20), equation (19) takes the form
Using \(C \ne 0\) and \(t>t_0\), we get that equation (21) holds if the conditions
are satisfied. Equalities (22) give
We proved that function (18) in the form
can be considered as a solution of fractional differential equation (17) under some conditions (these conditions will be described below).
To simplify expressions, we will use the notation
Therefore,
For integer values \(b\le n-1\), i.e., \(b=0,1,2,...,n-1\), we should use the equality
for non-integer values of \(\alpha \in (n-1,n)\), \(n \in \mathbb {N}\). Substituting equation (27) into fractional differential equation (17), we obtain the equality
Therefore, there are no solutions to equation (28) for non-zero values of the parameters C, \(n_0\), \(t>t_0\).
For \(b\le n-1\) such that \(b \ne 0,1, ... , n-1\), the integral in the expression of the Caputo fractional derivative is improper and divergent.
As a result, solution (24) can be written in the form
where \(a>0\), \(a \ne 1\), \(n_0>0\), \(b>n-1\), \(\alpha \in (n-1,n)\), \(n \in \mathbb {N}\), and we use using \(1/(a-1)=-1/(1-a)\).
By definition of the Caputo fractional derivative, solution (29) must be continuous and hence bounded in a right neighborhood of \(t_0\), i.e., \([t_0,t_0+\epsilon ]\) with \(\epsilon >0\), which yields the condition \(\alpha -\gamma (\alpha ) \ge 0\) and hence \(Z(t) \in C[t_0,t_1]\).
Using expression (29), the right-hand side of equation (17) has the form
Using equality (25), we get
Therefore, expression (30) takes the form
The right-hand side of equation (17), which is given by expression (32), belongs to \(C_{\gamma }[t_0,t_1]\) in the case \(\gamma (\alpha ) \in (0,1)\) and function (32) belongs to \(C[t_0,t_1]\) in the case \(\gamma (\alpha ) \le 0\). Therefore, we have condition \(\gamma (\alpha )<1\). Here \(C_{\gamma }[t_0,t_1]\) is the weighted space of functions \(Z(\tau )\) given on \((t_0,t_1]\), such that the function \((\tau -t_0)^{\gamma } A(\tau ) \in C[t_0,t_1]\), and
As a result, we have the conditions of the existence of solution (29) in the form
The conditions \(b>n-1\) of system (34) have the form \(\alpha -\gamma (\alpha ) > n-1\). Then we have \(\gamma (\alpha ) < \alpha -(n-1)\) that can be written as \(\gamma (\alpha ) < \{\alpha \}\), where \(\{\alpha \} \in (0,1)\) is the fractional part of \(\alpha \), i.e., \(\alpha = [\alpha ]+\{\alpha \}\), \([\alpha ]=n-1\). Therefore, if the condition \(b= \alpha - \gamma (\alpha ) >n-1\) holds, then inequality \(\gamma (\alpha ) <1\) is satisfied. This fact allows us to represent system (34) in the form
We can consider the following two cases
These systems give conditions (12) that are used in the Statement. The solution of nonlinear fractional differential Eq.(17) with \(\alpha \in (n-1,n)\), \(n \in \mathbb {N}\) is described by equations (29) if conditions (36) are satisfied. This completes the proof.
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Tarasov, V.E. Corrigendum to “Fractional nonlinear dynamics of learning with memory” nonlinear dynamics. 2020. Vol.100. P.1231–1242.. Nonlinear Dyn 103, 2163–2167 (2021). https://doi.org/10.1007/s11071-020-06133-0
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DOI: https://doi.org/10.1007/s11071-020-06133-0
Keywords
- Nonlinear dynamics
- Fractional differential equation
- Growth model
- Learning-by-doing
- Fractional derivative
- Learning model