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An eikonal kink and its monotone HJB grid updates
Statement
On , take , , , so . Let and This is the viscosity solution of with initial data . On a grid with an even number of nodes, , and a node, one step with gives both the positive-interpolation and upwind schemes value at , whereas the exact solution there is . On the horizon , choosing gives ; along this even-grid family the one-step error is exactly and the positive-interpolation mesh condition is satisfied.
Facts & Assumptions
Given: The torus, the eikonal Hamiltonian, the profile, and the two updates in Positive-interpolation semi-Lagrangian update for first-order HJB equations and CFL-monotone upwind update for first-order HJB equations.
For , , , the model Hamiltonian is (Periodic first-order controlled Hamilton–Jacobi Cauchy problem).
The interpolation weights are nonnegative and reproduce linear functions on each grid cell; the upwind rows use the one-sided derivative in the velocity direction (Positive-interpolation semi-Lagrangian update for first-order HJB equations, CFL-monotone upwind update for first-order HJB equations).
Under , the semi-Lagrangian scheme covered by the main convergence theorem converges to its viscosity solution (Convergence of the positive-interpolation and upwind first-order HJB schemes).
Proof
Away from and the moving fronts , the function is either constant zero or has and ; it satisfies the PDE classically. Near a moving front on the increasing-distance side, put in a local lift; on the other side put . In either case . There is no upper test at this convex kink: its directional slopes would have to be at least in the positive direction and at most in the negative direction. Any lower test has -slope . Use a second coordinate tangent to the moving front: the profile is constant in that direction, so the test's tangential derivative is zero. Thus and on the increasing-distance side, or on the decreasing-distance side; in both cases its residual is . At the antipode for , the local profile is . Its upper tests have spatial slope and time derivative , giving residual ; no lower test exists at that concave cusp. Thus the sub- and supersolution tests hold everywhere for . The initial trace is .
At , the sampled data have and because . For either semi-Lagrangian action the footpoint is ; linear interpolation between and returns when , so the action minimum is . For the upwind update the forward difference is and the backward difference is ; multiplying by and , respectively, gives drift contribution for both actions. The CFL condition is , so its minimum update is also . Since , both one-step errors equal . Taking gives , and [F3] supplies convergence for the refined semi-Lagrangian family under its full hypotheses.
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Sources
- Hung Vinh Tran, Hamilton–Jacobi Equations: Theory and Applications, 2020 author manuscript (standard reference, not scraped)
- Kristian Debrabant and Espen R. Jakobsen, Semi-Lagrangian schemes for linear and fully non-linear Hamilton-Jacobi-Bellman equations (standard reference, not scraped)