For a semiconvex function with a strict maximum at the centre of a closed ball, the set of points at which some linear perturbation of norm at most attains its maximum is compact of positive Lebesgue measure for all small , so it is contained in no null set, and it concentrates at the maximum point as tends to zero.
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 Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square. Open balls are those of Open Ball in a Metric Space and closed balls those of Closed Ball in a Metric Space; is the origin. Compactness refers to the topology of the open sets of , a topology by The Open Subsets of a Metric Space Form a Topology. Let be the Borel -algebra and Lebesgue measure on it. Powers with natural exponent are those of Natural Number Power of an Element of a Field, and is the positive real number with introduced in Uniform Grids on a Half-Open Box and Grid Hulls of a Compact Set in .
Let be convex, let satisfy , and let be semiconvex on with constant . Let and satisfy and ; write , and suppose that is a strict maximum point of on , in the sense that
Suppose further that is open in . For with put
which is the contact set of Maximisers of Linearly Perturbed Continuous Functions on a Closed Ball: Existence, Localisation, and Compactness of the Contact Set formed from the restriction of to .
Then there is with such that the following hold.
1. (Compact contact set in the half ball) For every real with , the set is nonempty, is compact in , belongs to , and satisfies .
2. (Positive measure) For every real with ,
and consequently .
3. (The contact set lies in no null set) For every real with and every with , there is with .
4. (Concentration at the maximum point) For every with there is with such that
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