NUMERICAL METHODS AND THE BASIS FOR THEIR APPLICATION
Numerical solution of integro-differential equations of fractional moisture transfer with the Bessel operator
M. KH. Beshtokov Institute of applied mathematics and automation, Kabardino-Balkarian scientific center of RAS,
89a Shortanova st., Nalchik, 360000, Russia
Abstract:
The paper considers integro-differential equations of fractional order moisture transfer with the Bessel operator. The studied equations contain the Bessel operator, two Gerasimov – Caputo fractional differentiation operators with different orders
$\alpha$ and
$\beta$. Two types of integro-differential equations are considered: in the first case, the equation contains a non-local source, i.e. the integral of the unknown function over the integration variable
$x$, and in the second case, the integral over the time variable
$\tau$, denoting the memory effect. Similar problems arise in the study of processes with prehistory. To solve differential problems for different ratios of
$\alpha$ and
$\beta$, a priori estimates in differential form are obtained, from which the uniqueness and stability of the solution with respect to the right-hand side and initial data follow. For the approximate solution of the problems posed, difference schemes are constructed with the order of approximation
$O(h^2+\tau^2)$ for
$\alpha=\beta$ and
$O(h^2+\tau^{2-max\{\alpha,\beta\}})$ for
$\alpha\neq\beta$. The study of the uniqueness, stability and convergence of the solution is carried out using the method of energy inequalities. A priori estimates for solutions of difference problems are obtained for different ratios of
$\alpha$ and
$\beta$, from which the uniqueness and stability follow, as well as the convergence of the solution of the difference scheme to the solution of the original differential problem at a rate equal to the order of approximation of the difference scheme.
Keywords:
moisture transfer equation, integro-differential equation, difference schemes, Bessel operator, a priori estimate, stability, convergence
UDC:
519.642 Received: 21.08.2022
Revised: 26.06.2023
Accepted: 18.01.2024
DOI:
10.20537/2076-7633-2024-16-2-353-373