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arxiv: 1406.6782 · v1 · pith:O2ZGF4SQnew · submitted 2014-06-26 · 🧮 math-ph · hep-th· math.MP· quant-ph

Connes distance function on fuzzy sphere and the connection between geometry and statistics

classification 🧮 math-ph hep-thmath.MPquant-ph
keywords distanceconnectionconnesfuzzygeometryspectralspherestatistics
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An algorithm to compute Connes spectral distance, adaptable to the Hilbert-Schmidt operatorial formulation of non-commutative quantum mechanics, was developed earlier by introducing the appropriate spectral triple and used to compute infinitesimal distances in the Moyal plane, revealing a deep connection between geometry and statistics. In this paper, using the same algorithm, the Connes spectral distance has been calculated in the Hilbert-Schmidt operatorial formulation for the fuzzy sphere whose spatial coordinates satisfy the $su(2)$ algebra. This has been computed for both the discrete, as well as for the Perelemov's $SU(2)$ coherent state. Here also, we get a connection between geometry and statistics which is shown by computing the infinitesimal distance between mixed states on the quantum Hilbert space of a particular fuzzy sphere, indexed by $n\in\mathbb{Z}/2$.

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