Set-valued analysis studies relations whose output at one input is a set. Solution maps, subdifferentials and generalized normal mappings are important examples. Graph geometry provides definitions of continuity, local stability and differentiation.
A mapping assigns a subset to each . Empty and multiple values are allowed. The graph of a set-valued mapping records the relation as a subset of .
A set-valued mapping is upper hemicontinuous at when every open set containing also contains for all in some neighborhood of . Empty values are permitted. For a single-valued map this is the usual neighborhood definition of continuity.
If is compact and the graph of a set-valued mapping is closed, upper hemicontinuity follows without a sequential-countability assumption. For each , the point is outside the closed graph, so there is a product neighborhood disjoint from it. Finitely many cover the compact set . Intersect their : every nearby value is then contained in .
Compact control is essential for this implication. The graph of for , , is closed in , but the corresponding singleton-valued map is not upper hemicontinuous at zero. Its nearby outputs escape every bounded neighborhood of zero.
Near in a graph, this property requires neighborhoods and a finite such that for all . Nearby solutions can be matched under nearby perturbations with linear displacement control. Single-valued maps reduce to local Lipschitz continuity.
In finite dimensions, if the graph is locally closed at , the Aubin property holds exactly when . Thus no nonzero horizontal vector in the limiting normal cone may occur. The exact local Lipschitz modulus is the outer norm of this coderivative.
The graph is . Local graph normals encode the Mordukhovich coderivative and hence the Aubin property. Graph closedness is a local hypothesis in the sensitivity criterion.
The limiting coderivative is . The negative sign on the output dual is essential. For a smooth single-valued function it gives the transpose Jacobian acting on .

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