Fuzzy fractional estimates of Swift-Hohenberg model obtained using the Atangana-Baleanu fractional derivative operator

AIMS Mathematics

article

Saima Rashid¹  Sobia Sultana²  Bushra Kanwal³  Fahd Jarad⁴  Aasma Khalid⁷ 

[1] Department of Mathematics, Government College University, Faisalabad;Department of Mathematics, Imam Mohammad Ibn Saud Islamic University;Department of Mathematical Sciences, Fatimah Jinnah Women's University;Department of Mathematics, Çankaya University;Department of Medical Research, China Medical University Hospital, China Medical University;Department of Mathematics, King Abdulaziz University;Department of Mathematics, Government College Women's University, Faisalabad

关键词: Elzaki transform;    Atangana-Baleanu fractional derivative;    Swift-Hohenberg equation;    statistical inference;   

DOI  :  10.3934/math.2022880

学科分类：地球科学(综合)

来源: AIMS Press

【 摘 要 】

Swift-Hohenberg equations are frequently used to model the biological, physical and chemical processes that lead to pattern generation, and they can realistically represent the findings. This study evaluates the Elzaki Adomian decomposition method (EADM), which integrates a semi-analytical approach using a novel hybridized fuzzy integral transform and the Adomian decomposition method. Moreover, we employ this strategy to address the fractional-order Swift-Hohenberg model (SHM) assuming g$ {\bf H} $-differentiability by utilizing different initial requirements. The Elzaki transform is used to illustrate certain characteristics of the fuzzy Atangana-Baleanu operator in the Caputo framework. Furthermore, we determined the generic framework and analytical solutions by successfully testing cases in the series form of the systems under consideration. Using the synthesized strategy, we construct the approximate outcomes of the SHM with visualizations of the initial value issues by incorporating the fuzzy factor $ \varpi\in[0, 1] $ which encompasses the varying fractional values. Finally, the EADM is predicted to be effective and precise in generating the analytical results for dynamical fuzzy fractional partial differential equations that emerge in scientific disciplines.

【 授权许可】

CC BY