Abstract:Abstract. We prove the convergence at a large scale of a non-local first order equation to an anisotropic mean curvature motion. The equation is an eikonal-type equation with a velocity depending in a non-local way on the solution itself, which arises in the theory of dislocation dynamics. We show that if an anisotropic mean curvature motion is approximated by equations of this type then it is always of variational type, whereas the converse is true only in dimension two.
“…The main idea is that there is a comparison principle for the non-linear non-local right hand side of (3.1), essentially because the instability created by the discontinuity of the integer part E is somehow compensated by the vanishing of the gradient at the same points (see the proofs of the comparison principle in [15], [7], [11]). …”
We study an implicit and discontinuous scheme for a non-local Hamilton-Jacobi equation modelling dislocation dynamics. For the evolution problem, we prove an a posteriori estimate of Crandall-Lions type for the error between continuous and discrete solutions. We deduce an a posteriori error estimate for the effective Hamiltonian associated to a stationary cell problem. In dimension one and under suitable assumptions, we also give improved a posteriori estimates. Numerical simulations are provided.
“…The main idea is that there is a comparison principle for the non-linear non-local right hand side of (3.1), essentially because the instability created by the discontinuity of the integer part E is somehow compensated by the vanishing of the gradient at the same points (see the proofs of the comparison principle in [15], [7], [11]). …”
We study an implicit and discontinuous scheme for a non-local Hamilton-Jacobi equation modelling dislocation dynamics. For the evolution problem, we prove an a posteriori estimate of Crandall-Lions type for the error between continuous and discrete solutions. We deduce an a posteriori error estimate for the effective Hamiltonian associated to a stationary cell problem. In dimension one and under suitable assumptions, we also give improved a posteriori estimates. Numerical simulations are provided.
“…Then, we have Claim 1. Φ is a (viscosity) supersolution of problem (14). As a matter of fact, since Φ is smooth, Φ is a classical supersolution of problem (14).…”
Section: Then W(x Y T) = U(x T) − U(y T) Is a Continuous Viscosimentioning
confidence: 99%
“…In the special case where the kernel c 0 is assumed nonnegative, some existence and uniqueness results for all time in any dimension are available in a "Slepčev formulation" (see [8,14]). …”
Section: Existence and Uniqueness Of A Continuous Solutionmentioning
Abstract. We consider a situation where dislocations are parallel lines moving in a single plane. For this simple geometry, dislocations dynamics is modeled by a one-dimensional non-local transport equation. We prove a result of existence and uniqueness for all time of the continuous viscosity solution for this equation. A finite difference scheme is proposed to approximate the continuous viscosity solution. We also prove an error estimate result between the continuous solution and the discrete solution, and we provide some simulations.
“…In order to propose a numerical scheme for anisotropic mean curvature motion, we will use the work of Da Lio et al [13] that we briefly recall here. Given a function g defined on the unit sphere…”
Section: Error Estimate For Mean Curvature Motionmentioning
confidence: 99%
“…The idea is to use a recent work of Da Lio, Monneau and the author [13] concerning the convergence of dislocations dynamics to mean curvature motion. Dislocations are linear defects which move in crystals.…”
In this work, we propose a new numerical scheme for the anisotropic mean curvature equation. The solution of the scheme is not unique, but for all numerical solutions, we provide an error estimate between the continuous solution and the numerical approximation. Our scheme is also applicable to compute the solution to dislocations dynamics equation. We also provide some numerical simulations.
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