2020
DOI: 10.1002/mma.6162
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Existence and regularity of inverse problem for the nonlinear fractional Rayleigh‐Stokes equations

Abstract: This paper investigates an inverse problem for fractional Rayleigh‐Stokes equations with nonlinear source. The fractional derivative in time is taken in the sense of Riemann‐Liouville. The proposed problem has many applications in some non‐Newtonian fluids. We obtain some results on the existence and regularity of mild solutions.

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Cited by 19 publications
(15 citation statements)
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“…Regarding analytic representation for solution of this problem in linear form, we refer to [7,8,13,15,17,18]. Recently, the final value problem involving (1) has been addressed in [9,10,14], as an interesting supplement to qualitative investigation for this equation.…”
mentioning
confidence: 99%
“…Regarding analytic representation for solution of this problem in linear form, we refer to [7,8,13,15,17,18]. Recently, the final value problem involving (1) has been addressed in [9,10,14], as an interesting supplement to qualitative investigation for this equation.…”
mentioning
confidence: 99%
“…For the sake of simplicity in writing, we take κ ϕ = W 2 + 1. Then (19) becomes v(t)u(t) ≤ κ ϕ εϕ(t).…”
Section: Definition 42 ([49])mentioning
confidence: 99%
“…(for example, refer to [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]). Many researchers play an important role in different desirable developments on the existence criteria, and some results about the uniqueness for numerous fractional differential equations have been obtained (see for instance [7,[16][17][18][19][20][21][22][23][24]). On the other hand, the subject of stability is a very important notion in physics since most phenomena in the real world include this concept.…”
Section: Introductionmentioning
confidence: 99%
“…The backward problems have currently been studied by many mathematicians. Ngoc et al [24], for instance, pondered the inverse problem for the nonlinear fractional Rayleigh-Stokes equations. Equation (1.1) associated with Gaussian random noise was examined by Triet et al [25], and so forth.…”
Section: Introductionmentioning
confidence: 99%