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arxiv: 1812.10949 · v1 · pith:EDIC3XVOnew · submitted 2018-12-28 · 🧮 math.FA · cs.NA· math.NA· math.SG

Approximation of quasi-states on manifolds

classification 🧮 math.FA cs.NAmath.NAmath.SG
keywords quasi-statesalgorithmspaceaccuracyappropriateapproximationattemptaxioms
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Quasi-states are certain not necessarily linear functionals on the space of continuous functions on a compact Hausdorff space. They were discovered as a part of an attempt to understand the axioms of quantum mechanics due to von Neumann. A very interesting and fundamental example is given by the so-called median quasi-state on the 2-sphere. In this paper we present an algorithm which numerically computes it to any specified accuracy. The error estimate of the algorithm crucially relies on metric continuity properties of a map, which constructs quasi-states from probability measures, with respect to appropriate Wasserstein metrics. We close with non-approximation results, particularly for symplectic quasi-states.

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