Abstract
We investigate searching for closed balls \(B\) in the \(n\)-dimensional torus \({\mathbb {T}}^n\), where the ball’s center is located uniformly at random in \({\mathbb {T}}^n\) and its volume is uniformly distributed in \((\delta , V], 0<\delta \ll V \ll 1\). For exponentially mixing maps and multi-valued maps, it is shown that hitting time of a small ball and the expected hitting time are of \({\fancyscript{O}}(1/\hbox {vol}(B))\) and \({\fancyscript{O}}(-\ln \delta )\), respectively, for every ball center and almost every initial condition. Along the way, an ergodic theory framework is developed for \({\mathfrak {B}}\)-regular, multi-valued maps. Finally, discrete-time maps are used to generate continuous-time dynamics on \({\mathbb {T}}^n\), and it is shown that the asymptotic behavior for the continuous case is the same as the discrete case.
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Notes
While an unrealistic example, consider Manhattan for the search domain and let the searcher be some specific pedestrian that will walk (or run) around according to the directions these algorithms specify. From a viewpoint a few miles above the city, the dynamics of our pedestrian will look first order.
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Communicated by Oliver Junge.
The authors gratefully acknowledge funding from The Office of Naval Research through Grant N00014-07-1-0587N00014-07-1-0587 and the Air Force Office of Scientific Research through Grant FA9550-09-1-0141.
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Mohr, R., Mezić, I. Searching for Targets of Nonuniform Size Using Mixing Transformations: Constructive Upper Bounds and Limit Laws. J Nonlinear Sci 25, 741–777 (2015). https://doi.org/10.1007/s00332-015-9240-2
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DOI: https://doi.org/10.1007/s00332-015-9240-2