TY - JOUR
T1 - Approximation of quasi-states on manifolds
AU - Dickstein, Adi
AU - Zapolsky, Frol
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019/9/9
Y1 - 2019/9/9
N2 - 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 S2. 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.
AB - 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 S2. 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.
KW - Computation
KW - Quasi-states
KW - Reeb graph
KW - Symplectic quasi-states
KW - Topological measures
KW - Wasserstein metrics
UR - http://www.scopus.com/inward/record.url?scp=85105132206&partnerID=8YFLogxK
U2 - 10.1007/s41468-019-00030-1
DO - 10.1007/s41468-019-00030-1
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AN - SCOPUS:85105132206
SN - 2367-1726
VL - 3
SP - 221
EP - 248
JO - Journal of Applied and Computational Topology
JF - Journal of Applied and Computational Topology
IS - 3
ER -