Abstract:We consider initial value/boundary value problems for fractional diffusion-wave equation:where L is a symmetric uniformly elliptic operator with t-independent smooth coefficients. First we establish the unique existence of the weak solution and the asymptotic behavior as the time t goes to ∞ and the proofs are based on the eigenfunction expansions. Second for α ∈ (0, 1), we apply the eigenfunction expansions and prove (i) stability in the backward problem in time, (ii) the uniqueness in determining an initial … Show more
“…However, for some practical situations, the part of the diffusion coefficient, or initial data, or boundary data, or source term may not be known, we need to find them using some additional measurement data, which will lead to the inverse problem of the fractional diffusion equation, such as [11][12][13]. Recently, many researchers have presented results of the initial value problem and boundary value problem on fractional differential equations, such as [14][15][16].…”
In this paper, we study an inverse initial value problem for the fractional diffusion equation with discrete noise. This problem is ill-posed in the sense of Hadamard. We apply the trigonometric method in a nonparametric regression associated with the quasi-boundary value regularization method to deal with this ill-posed problem. The corresponding convergence estimate for this method is obtained. The numerical results show that this regularization method is flexible and stable.
MSC: 35R25; 47A52; 35R30
“…However, for some practical situations, the part of the diffusion coefficient, or initial data, or boundary data, or source term may not be known, we need to find them using some additional measurement data, which will lead to the inverse problem of the fractional diffusion equation, such as [11][12][13]. Recently, many researchers have presented results of the initial value problem and boundary value problem on fractional differential equations, such as [14][15][16].…”
In this paper, we study an inverse initial value problem for the fractional diffusion equation with discrete noise. This problem is ill-posed in the sense of Hadamard. We apply the trigonometric method in a nonparametric regression associated with the quasi-boundary value regularization method to deal with this ill-posed problem. The corresponding convergence estimate for this method is obtained. The numerical results show that this regularization method is flexible and stable.
MSC: 35R25; 47A52; 35R30
“…[18,6,24,19,21,17,2,30,25,29,22,27,28,31,8]. In contrast to the classical diffusion equations, the fractional diffusion equations can be used to describe the anomalous diffusion phenomena such as super-diffusion or sub-diffusion.…”
Section: Introductionmentioning
confidence: 99%
“…Obviously for α = 1, D α t u = u t . The existence of a unique weak solution for the direct problem (1.1) has been studied in [22] and the only uniqueness theorem for the inverse source problem mentioned above is the following.…”
This paper is devoted to determining a space-dependent source term in an inverse problem of the time-fractional diffusion equation. We use a method based on a finite difference scheme in time and a local discontinuous Galerkin method (LDG) in space and investigate the numerical stability and convergence of the proposed method. Finally, various numerical examples are used illustrate the effectiveness and accuracy of the method.
“…The regularity of the solution of (1.1) is restrictive. For example, for the homogeneous equation with initial data u 0 ∈ L 2 (Ω), we have the following stability estimate [44] …”
mentioning
confidence: 99%
“…However the solutions of (1.1) has low regularity [44]. We only obtain firstorder accuracy when solving (1.1) by using the approximation scheme (1.6) with p ≥ 2.…”
In this paper, we shall review an approach by which we can seek higher order time discretisation schemes for solving time fractional partial differential equations with nonsmooth data. The low regularity of the solutions of time fractional partial differential equations implies standard time discretisation schemes only yield first order accuracy. To obtain higher order time discretisation schemes when the solutions of time fractional partial differential equations have low regularities, one may correct the starting steps of the standard time discretisation schemes to capture the singularities of the solutions. We will consider these corrections of some higher order time discretisation schemes obtained by using Lubich's fractional multistep methods, L1 scheme and its modification, discontinuous Galerkin methods, etc. Numerical examples are given to show that the theoretical results are consistent with the numerical results.
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