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The Ricci Flow of Asymptotically Hyperbolic Mass

  • Author / Creator
    Balehowsky, Tracey J
  • In this thesis, we generalize the notion of asymptotically hyperbolic mass (first introduced by Wang in 2001) to manifolds with toroidal ends. Using this generalized definition, we show that under a normalized Ricci flow with asymptotically hyperbolic, conformally compact initial data with a well-defined mass, the mass will decay exponentially in time to zero, in contradistinction to the constant behaviour of asymptotically flat mass under Ricci flow. We then use this result for the evolution of asymptotically hyperbolic mass to prove that there does not exist a breather solution to the normalized Ricci flow with non-zero mass. Further, we provide a proof of the rigidity case of the Positive Mass Theorem in the asymptotically hyperbolic setting, using Ricci flow. We note that this result for the exponential behaviour of asymptotically hyperbolic mass provides support for a conjecture in general relativity stated by Horowitz and Myers.

  • Subjects / Keywords
  • Graduation date
    2012-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3J94F
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Mathematical and Statistical Sciences
  • Specialization
    • Mathematics
  • Supervisor / co-supervisor and their department(s)
    • Woolgar, Eric (Mathematical and Statistical Sciences)
  • Examining committee members and their departments
    • Morsink, Sharon (Physics)
    • van Roessel, Henry (Mathematical and Statistical Sciences)
    • Kuttler, Jochen (Mathematical and Statistical Sciences)