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math.FA2019

Strong law of large numbers for the -Karcher mean

Yongdo Lim, Miklós Pálfia

Sturm's strong law of large numbers in spaces has been an influential tool to study the geometric mean or also called Karcher barycenter of positive definite matr…

math.FA2019

Operator means of probability measures

Fumio Hiai, Yongdo Lim

Let be the complete metric space consisting of positive invertible operators on an infinite-dimensional Hilbert space with the Thompson metric. We introduce the notion…

math.FA2018

Strong Convexity of Sandwiched Entropies and Related Optimization Problems

Rajendra Bhatia, Tanvi Jain, Yongdo Lim

We present several theorems on strict and strong convexity, and higher order differential formulae for sandwiched quasi-relative entropy (a parametrised version of the classical fi…

math.FA2018

Inequalities for the Wasserstein mean of positive definite matrices

Rajendra Bhatia, Tanvi Jain, Yongdo Lim

We prove majorization inequalities for different means of positive definite matrices. These include the Cartan mean (the Karcher mean), the log Euclidean mean, the Wasserstein mean…

math.FA2017

On the Bures-Wasserstein distance between positive definite matrices

Rajendra Bhatia, Tanvi Jain, Yongdo Lim

The metric $d(A,B)=\left[ \tr\, A+\tr\, B-2\tr(A^{1/2}BA^{1/2})^{1/2}\right]^{1/2}$ on the manifold of positive definite matrices arises in various optimisation problem…

math.FA2017

Log-majorizations for the (symplectic) eigenvalues of the Cartan barycenter

Fumio Hiai, Yongdo Lim

In this paper we show that the eigenvalue map and the symplectic eigenvalue map of positive definite matrices are Lipschitz for the Cartan-Hadamard Riemannian metric, and establish…