Convergence of the distance squared Gibbs measure on algebraic sets, targets, and fractals

Research output: Contribution to journalMeeting abstract

Abstract

The distance squared Gibbs measure is a certain probability measure on Euclidean space studied in [S] and [PS]. In this paper, we document what is known about the convergence of a sequence of such measures over certain mathematical spaces, including algebraic sets, fractals, and "targets." Specifically, we find that the converging measure will distribute evenly over subanalytic sets and fractals, but may not distribute evenly over other types of spaces, such as "targets," that is, circles of decreasing radii where the total length is infinite.
Original languageAmerican English
Number of pages6
JournalReal Analysis Exchange
Volume33
Issue number1
StatePublished - 2008
EventThe 32nd Summer Symposium in Real Analysis - Chicago State University, Chicago, United States
Duration: Jun 10 2008Jun 14 2008

Cite this