Abstract
Information geometry of the space \({\mathcal {P}}(M)\) of probability measures defined on a compact smooth Riemannian manifold M and equipped with Fisher metric G, is investigated from the viewpoint of Riemannian geometry. The function \(\ell \,:\, {\mathcal {P}}(M)\times {\mathcal {P}}(M)\rightarrow [0,\pi )\) associated to the geometric mean of two probability measures is introduced. From the formulae of Levi-Civita geodesics the Riemannian distance \(d(\cdot ,\cdot )\) of \(({\mathcal {P}}(M),G)\) is exactly given by \(\ell (\cdot ,\cdot )\). By applying the parametrix \(H(x,x_0;t)\) of the heat kernel of M it is shown that the diameter D satisfies \(D= \pi \).
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Itoh, M., Satoh, H. (2019). Riemannian Distance and Diameter of the Space of Probability Measures and the Parametrix. In: Nielsen, F., Barbaresco, F. (eds) Geometric Science of Information. GSI 2019. Lecture Notes in Computer Science(), vol 11712. Springer, Cham. https://doi.org/10.1007/978-3-030-26980-7_48
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