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Proceedings of the American Mathematical Society

Published by the American Mathematical Society since 1950, Proceedings of the American Mathematical Society is devoted to shorter research articles in all areas of pure and applied mathematics.

ISSN 1088-6826 (online) ISSN 0002-9939 (print)

The 2020 MCQ for Proceedings of the American Mathematical Society is 0.85.

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Riemannian $L^{p}$ center of mass: Existence, uniqueness, and convexity
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by Bijan Afsari PDF
Proc. Amer. Math. Soc. 139 (2011), 655-673 Request permission

Abstract:

Let $M$ be a complete Riemannian manifold and $\nu$ a probability measure on $M$. Assume $1\leq p\leq \infty$. We derive a new bound (in terms of $p$, the injectivity radius of $M$ and an upper bound on the sectional curvatures of $M$) on the radius of a ball containing the support of $\nu$ which ensures existence and uniqueness of the global Riemannian $L^{p}$ center of mass with respect to $\nu$. A significant consequence of our result is that under the best available existence and uniqueness conditions for the so-called “local” $L^{p}$ center of mass, the global and local centers coincide. In our derivation we also give an alternative proof for a uniqueness result by W. S. Kendall. As another contribution, we show that for a discrete probability measure on $M$, under the existence and uniqueness conditions, the (global) $L^{p}$ center of mass belongs to the closure of the convex hull of the masses. We also give a refined result when $M$ is of constant curvature.
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Additional Information
  • Bijan Afsari
  • Affiliation: Department of Applied Mathematics, University of Maryland, College Park, Maryland 20742
  • Address at time of publication: Institute for Systems Research, University of Maryland, College Park, Maryland 20742
  • Email: bijan@umd.edu
  • Received by editor(s): July 14, 2009
  • Received by editor(s) in revised form: July 15, 2009, February 25, 2010, March 1, 2010, and April 12, 2010
  • Published electronically: August 27, 2010
  • Additional Notes: This research was supported in part by the Army Research Office under the ODDR&E MURI01 Program Grant No. DAAD19-01-1-0465 to the Center for Communicating Networked Control Systems (through Boston University), by NSF-NIH Collaborative Research in Computational Neuroscience Program (CRCNS2004), NIH-NIBIB grant 1 R01 EB004750-1, and by NSF grants DMS-0204671 and DMS-0706791.
  • Communicated by: Jon G. Wolfson
  • © Copyright 2010 American Mathematical Society
    The copyright for this article reverts to public domain 28 years after publication.
  • Journal: Proc. Amer. Math. Soc. 139 (2011), 655-673
  • MSC (2010): Primary 53C20; Secondary 62H11, 92C55
  • DOI: https://doi.org/10.1090/S0002-9939-2010-10541-5
  • MathSciNet review: 2736346