2004
DOI: 10.1007/bf02922078
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Addenda to “The entropy formula for linear heat equation”

Abstract: ABSTRACT. We add two sections to [8] The relation with Li-Yau's gradient estimatesIn this section we provide another derivation of Theorem 1.1 of [8] and discuss its relation with Li-Yau's gradient estimates on positive solutions of heat equation. The formulation gives a sharp upper and lower bound estimates on Nash's 'entropy quantity' − M H log H dv in the case M has nonnegative Ricci curvature, where H is the fundamental solution (heat kernel) of the heat equation. This section is following the ideas in th… Show more

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Cited by 41 publications
(46 citation statements)
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“…Our results may be set against recently discovered entropy formulae and pointwise differential inequalities in other settings: For the standard heat equation on a manifold of non negative Ricci curvature [22], and for the forward conjugate heat equation u t = u + Ru on a two-dimensional Ricci flow [23] and (matrix Harnack!) on a Kähler-Ricci flow [24].…”
mentioning
confidence: 86%
“…Our results may be set against recently discovered entropy formulae and pointwise differential inequalities in other settings: For the standard heat equation on a manifold of non negative Ricci curvature [22], and for the forward conjugate heat equation u t = u + Ru on a two-dimensional Ricci flow [23] and (matrix Harnack!) on a Kähler-Ricci flow [24].…”
mentioning
confidence: 86%
“…1, the entropy formula of type (11) was first obtained by Perelman [33] for the Ricci flow and the conjugate heat equation (2), and was established latter by Ni [29,30] for the linear heat equation ∂ τ u = u on closed Riemannian manifolds. See (3) and (6) respectively.…”
Section: Moreover If There Exists a Constant M ≥ N Such Thatmentioning
confidence: 99%
“…See (3) and (6) respectively. In particular, Ni [29,30] proved that W( f, τ ) is monotone decreasing in τ on closed Riemannian manifolds with non-negative Ricci curvature. Using the Li-Yau gradient estimates for the heat kernel of the heat equation ∂ τ u = u, Ni [29,30] …”
Section: Moreover If There Exists a Constant M ≥ N Such Thatmentioning
confidence: 99%
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