A Lipschitz Estimate Between the Maximisers of Two Linear Perturbations of a Semiconvex Function
lemmaAnalysisMultivariable Calculuslem:semiconvex-perturbed-maximiser-lipschitz-2026aIf a linear perturbation of a semiconvex function with constant attains its maximum over a closed ball at a point of the concentric half ball, and a second, nearby perturbation attains its maximum somewhere in the ball, then the two perturbing vectors differ by at most times the distance between the maximisers; in particular the maximiser determines the perturbation.
Let be a natural number with and let be the real numbers with the order of their ordered field structure; denotes , which satisfies and so has a multiplicative inverse by claim 8 of Elementary Order Arithmetic in an Ordered Field, and denotes the product of with that inverse. Regard Euclidean space as a real vector space, with the sum of points, the scalar multiple, and the difference and dot product of points; write for the Euclidean norm and for the Euclidean distance, a metric on with by claim 2 of Elementary Properties of the Euclidean Norm on . Closed balls are those of Closed Ball in a Metric Space.
Let be convex, let satisfy , and let be semiconvex on with constant . Let and satisfy and , and write .
Let , let and let satisfy
and suppose in addition that
Then the following hold.
1. (Monotonicity estimate) ¶
2. (Lipschitz estimate) ¶
In particular, if then .
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