An adaptive numerical approach for the solutions of fractional advection–diffusion and dispersion equations in singular case under Riesz’s derivative operator
Omar Abu Arqub and
Mohammed Al-Smadi
Physica A: Statistical Mechanics and its Applications, 2020, vol. 540, issue C
Abstract:
The fractional diffusion and dispersion equations are reinterpreted in determining the effect of fluid flow and displacement processes through certain compressible phenomena and then reconstructed by considering the flow conductivity, energy balance, flow chambers with the interconnected pores, and diffusion flow system. The adaptive reproducing kernel approach is formulated and analyzed to investigate numerical solutions of fractional advection-diffusion and dispersion equations in singular case on a finite domain with Riesz’s fractional derivative. In such alternative representation, the reproducing kernel functions are obtained to provide analytic and approximate solutions in desired Hilbert spaces. To enable the utilized approach more, convergent analysis and error estimates are also given. To assure our results, some features with numerical experiments are presented to confirm the theoretical analysis and to illustrate the performance and effectiveness of the proposed scheme. Graphical and comparisons indicate the significant improvement of the algorithm in solving many singular fractional problems arising in physical issues.
Keywords: Singular fractional problem; Partial differential equation; Symbolic computations; Reproducing kernel method (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843711931828X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:540:y:2020:i:c:s037843711931828x
DOI: 10.1016/j.physa.2019.123257
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().