Abstract
In this paper, we show that for a polyhedral multifunctionF:R n →R m with convex range, the inverse functionF −1 is locally lower Lipschitzian at every point of the range ofF (equivalently Lipschitzian on the range ofF) if and only if the functionF is open. As a consequence, we show that for a piecewise affine functionf:R n →R n,f is surjective andf −1 is Lipschitzian if and only iff is coherently oriented. An application, via Robinson's normal map formulation, leads to the following result in the context of affine variational inequalities: the solution mapping (as a function of the data vector) is nonempty-valued and Lipschitzian on the entire space if and only if the solution mapping is single-valued. This extends a recent result of Murthy, Parthasarathy and Sabatini, proved in the setting of linear complementarity problems.
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Research supported by the National Science Foundation Grant CCR-9307685.
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Seetharama Gowda, M., Sznajder, R. On the Lipschitzian properties of polyhedral multifunctions. Mathematical Programming 74, 267–278 (1996). https://doi.org/10.1007/BF02592199
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DOI: https://doi.org/10.1007/BF02592199