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Nodal feasibility can miss a nonconvex obstacle between vertices
Statement
Let , , , and . Use the grid , and split each rectangular cell by a diagonal. This is a matching triangular mesh on which both segments are single boundary edges. Parameterize by normalized arclength , set , and let . The obstacle is continuous, nonpositive and concave, and satisfies both endpoint nodal inequalities, but because its contact gap is negative at the midpoint.
Facts & Assumptions
Given: The nodal scheme Conforming nodal P1 Signorini contact discretization except that its convexity hypothesis on is removed for this counterexample.
The nodal constraints require at each contact vertex; the continuum feasible set requires almost everywhere on the whole contact segment. (Conforming nodal P1 Signorini contact discretization, The vector Signorini contact set and variational inequality)
A real function is concave on an interval when its negative is convex there, with convexity defined by the chord inequality. (Convex, strictly convex, concave, strictly concave, and midpoint-convex real functions on an interval)
Proof
The polynomial has endpoint values and midpoint value , and shows its maximum is . For and , direct expansion gives , with strict inequality when and . Thus [F2] says is strictly concave, not convex, and the convex-obstacle premise is absent.
The vector field is affine on each triangle and is zero on , hence belongs to . On the two contact vertices its normal value is , equal to the endpoint obstacle values, so both nodal inequalities hold. Along all of , , while at the obstacle equals ; continuity gives an interval around that midpoint on which . Therefore the continuum contact inequality fails on a set of positive arclength and .
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
9 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Richard S. Falk, Error Estimates for the Approximation of a Class of Variational Inequalities, complete 10-page paper (standard reference, not scraped)