Davydov, Moldavskaya, and Zitikis introduced local indices for quantifying the lack of convexity of a function by measuring the nuclear-norm distance of its Hessian from the cone of positive semidefinite matrices. This paper develops a local analogue for functions of class . At a point , the classical Hessian is replaced by the Clarke-type generalized Hessian set , defined as the closed convex hull of limiting Hessians at nearby twice differentiability points. Evaluating the same spectral functional over gives an interval-valued local nonconvexity index whose lower and upper endpoints represent, respectively, the least and greatest visible second-order nonconvexity at . The construction reduces to the original smooth index when , vanishes for convex functions, is invariant under orthogonal changes of variables, satisfies a subadditivity inequality for the upper endpoint under sums, and is upper semicontinuous in its upper endpoint. We also relate the upper endpoint to a pointwise weak-convexity curvature modulus and give explicit examples. The paper is deliberately local in scope: it proposes a scalar diagnostic extracted from generalized Hessian sets, not a replacement for the richer second-order variational theory of nonsmooth convexity.

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