2023
DOI: 10.3390/sym15020280
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Mild Solutions for the Time-Fractional Navier-Stokes Equations with MHD Effects

Abstract: Recently, various techniques and methods have been employed by mathematicians to solve specific types of fractional differential equations (FDEs) with symmetric properties. The study focuses on Navier-Stokes equations (NSEs) that involve MHD effects with time-fractional derivatives (FDs). The (NSEs) with time-FDs of order β∈(0,1) are investigated. To facilitate anomalous diffusion in fractal media, mild solutions and Mittag-Leffler functions are used. In Hδ,r, the existence, and uniqueness of local and global … Show more

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“…Galerkin method [21], implicit fnite diference scheme [22], Adomian decomposition method [23], Crank-Nicolson scheme [24], homotopy perturbation method [25], backward Euler method [26], diferential transform method [27], and stabilized meshless technique [28] are some of them. Many of these approaches have been utilized for the numerical solution of fractional diferential equations including the Navier-Stokes equation [29,30], Schrödinger equation [31], COVID-19 model [32], Kundu-Mukherjee-Naskar equation [33], and Black-Scholes model [34]. Chen et al [35] employed a Laguerre neural network for generalized Black-Scholes models.…”
Section: Introductionmentioning
confidence: 99%
“…Galerkin method [21], implicit fnite diference scheme [22], Adomian decomposition method [23], Crank-Nicolson scheme [24], homotopy perturbation method [25], backward Euler method [26], diferential transform method [27], and stabilized meshless technique [28] are some of them. Many of these approaches have been utilized for the numerical solution of fractional diferential equations including the Navier-Stokes equation [29,30], Schrödinger equation [31], COVID-19 model [32], Kundu-Mukherjee-Naskar equation [33], and Black-Scholes model [34]. Chen et al [35] employed a Laguerre neural network for generalized Black-Scholes models.…”
Section: Introductionmentioning
confidence: 99%