2018
DOI: 10.4171/rlm/811
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Second order differentiation formula on RCD$(K,N)$ spaces

Abstract: We prove the second order differentiation formula along geodesics in finite-dimensional RCD(K, N ) spaces. Our approach strongly relies on the approximation of W2-geodesics by entropic interpolations and, in order to implement this approximation procedure, on the proof of new (even in the smooth setting) estimates for such interpolations.

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Cited by 13 publications
(30 citation statements)
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References 48 publications
(112 reference statements)
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“…Let us now derive a criterion, in terms of the endpoint marginals µ 0 and µ 1 , for the existence of regular functions f ε , g ε with well-defined Fisher information solving the Schrödinger system (2.6). As noticed in [12], [13] the regularity (smoothness and integrability) of µ 0 (resp. µ 1 ) is inherited by f ε (resp.…”
Section: Entropic Interpolationsmentioning
confidence: 75%
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“…Let us now derive a criterion, in terms of the endpoint marginals µ 0 and µ 1 , for the existence of regular functions f ε , g ε with well-defined Fisher information solving the Schrödinger system (2.6). As noticed in [12], [13] the regularity (smoothness and integrability) of µ 0 (resp. µ 1 ) is inherited by f ε (resp.…”
Section: Entropic Interpolationsmentioning
confidence: 75%
“…and, as it is not difficult to see (e.g. following the computations carried out in [13] which fit to Setting 1), these PDEs are satisfied along (ρ ε t , ϑ ε t ). Finally, as in the Hamiltonian p represents a momentum density, it is natural to set p t := ν t v t .…”
Section: Final Remarks and Commentsmentioning
confidence: 92%
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“…Second-order Calculus on RCD spaces: N. Gigli and L. Tamanini [16] studied the entropictransport problem on a class of metric spaces with (Riemannian) Ricci curvature bounded from below (2-marginals case, c(x 1 , x 2 ) = d(x 1 , x 2 ) 2 ). The entropic regularization procedure was crucial for establishing a second-order differential structure in that setting.…”
Section: Introductionmentioning
confidence: 99%