2021
DOI: 10.1186/s13662-021-03468-9
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Existence of a unique weak solution to a non-autonomous time-fractional diffusion equation with space-dependent variable order

Abstract: In this contribution, we investigate an initial-boundary value problem for a fractional diffusion equation with Caputo fractional derivative of space-dependent variable order where the coefficients are dependent on spatial and time variables. We consider a bounded Lipschitz domain and a homogeneous Dirichlet boundary condition. Variable-order fractional differential operators originate in anomalous diffusion modelling. Using the strongly positive definiteness of the governing kernel, we establish the existence… Show more

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Cited by 15 publications
(13 citation statements)
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“…In this section, we studied ISPs (2), ( 3) and ( 2), (4) using a variational approach. We used the following lemmas (see [2] (Lemma 2.1), [2] (Corollary 3.1), and [2] (Theorem 6.1)) to study the uniqueness of the solution to the ISPs.…”
Section: Inverse Source Problem For N =mentioning
confidence: 99%
See 3 more Smart Citations
“…In this section, we studied ISPs (2), ( 3) and ( 2), (4) using a variational approach. We used the following lemmas (see [2] (Lemma 2.1), [2] (Corollary 3.1), and [2] (Theorem 6.1)) to study the uniqueness of the solution to the ISPs.…”
Section: Inverse Source Problem For N =mentioning
confidence: 99%
“…If we assumed that solution u satisfied additionally 2 (Ω) , then we could show the uniqueness of a solution to ISP (2) and (3), with time-dependent coefficients in operator L.…”
Section: Lemma 1 (Strongly Positive Definitenessmentioning
confidence: 99%
See 2 more Smart Citations
“…In case of direct problems of time-fractional diffusion equation (initial value problems and initial boundary value problems), the literature is fruitful with many studies about them. For some theoretical results concerned with uniqueness and existence, we refer to [26,29,18,35,36]. Numerical implementations for that direct problems are tackled in the literature also by using different numerical methods.…”
Section: Introductionmentioning
confidence: 99%