Matrix power means and the Karcher mean
By Yongdo Lim, Miklós Pálfia. 2012
183 citations recorded by the source corpus.
We define a new family of matrix means {Pt(ω;A)}t∈[−1,1], where ω and A vary over all positive probability vectors in Rn and n-tuples of positive definite matrices resp. Each of these means except t≠0 arises as a unique positive definite solution of a non-linear matrix equation, satisfies all desirable properties of power means of positive real numbers and interpolates between the weighted harmonic and arithmetic means. The main result is that the Karcher mean coincides with the limit of power means as t→0. This provides not only a sequence of matrix means converging to the Karcher mean, but also a simple proof of the monotonicity of the Karcher mean, conjectured by Bhatia and Holbrook, and other new properties, which have recently been established by Lawson and Lim and also Bhatia and Karandikar using probabilistic methods on the metric structure of positive definite matrices equipped with the trace metric.
Subfields: Applied Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/6f9558cb6c13d2dd7b5d9c671a6172aa723597c6
Citations in the corpus
- On the Bures–Wasserstein distance between positive definite matrices (2017, unknown): “See [7] [8] [9] [10] [19] [23] [24] [25] [26].”