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Overlap Problems on the Circle

Published online by Cambridge University Press:  04 January 2016

S. Juneja*
Affiliation:
Tata Institute for Fundamental Research
M. Mandjes*
Affiliation:
University of Amsterdam, EURANDOM and Eindhoven University of Technology
*
Postal address: Tata Institute for Fundamental Research, Homi Bhabha Road, Colaba Mumbai, India. Email address: juneja@tifr.res.in
∗∗ Postal address: Korteweg-de Vries Institute for Mathematics, University of Amsterdam, Science Park 904, Amsterdam 1098 XH, The Netherlands. Email address: m.r.h.mandjes@uva.nl
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Abstract

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Consider a circle with perimeter N > 1 on which k < N segments of length 1 are sampled in an independent and identically distributed manner. In this paper we study the probability π (k,N) that these k segments do not overlap; the density φ(·) of the position of the disks on the circle is arbitrary (that is, it is not necessarily assumed uniform). Two scaling regimes are considered. In the first we set kaN, and it turns out that the probability of interest converges (N→ ∞) to an explicitly given positive constant that reflects the impact of the density φ(·). In the other regime k scales as aN, and the nonoverlap probability decays essentially exponentially; we give the associated decay rate as the solution to a variational problem. Several additional ramifications are presented.

Type
General Applied Probability
Copyright
© Applied Probability Trust 

References

Abramson, M. and Moser, W. O. J. (1970). More birthday surprises. Amer. Math. Monthly 77, 856858.CrossRefGoogle Scholar
Barbour, A. D., Holst, L. and Janson, S. (1992). Poisson Approximation. Oxford University Press, New York.CrossRefGoogle Scholar
Bartelt, M. C. and Privman, V. (1991). Kinetics of irreversible monolayer and multilayer adsorption. Internat. J. Modern Phys. B 5, 28832907.Google Scholar
Cadilhe, A., Araujo, N. A. M. and Privman, V. (2007). Random sequential adsorption: from continuum to lattice and pre-patterned substrates. J. Phys. Condensed Matter 19, 065124, 12 pp.Google Scholar
Camarri, M. and Pitman, J. (2000). Limit distributions and random trees derived from the birthday problem with unequal probabilities. Electron. J. Prob. 5, 18 pp.Google Scholar
Diaconis, P. and Mosteller, F. (1989). Methods for studying coincidences. J. Amer. Statist. Assoc. 84, 853861.Google Scholar
Evans, J. W. (1993). Random and cooperative sequential adsorption. Rev. Modern Phys. 65, 12811329.Google Scholar
Gail, M. H., Weiss, G. H., Mantel, N. and O'Brien, S. J. (1979). A solution to the generalized birthday problem with application to allozyme screening for cell culture contamination. J. Appl. Prob. 16, 242251.Google Scholar
Gürsey, F. (1950). Classical statistical mechanics of a rectilinear assembly. Proc. Camb. Phil. Soc. 46, 182194.CrossRefGoogle Scholar
Joag-Dev, K. and Proschan, F. (1992). Birthday problem with unlike probabilities. Amer. Math. Monthly 99, 1012.CrossRefGoogle Scholar
Klotz, J. (1979). The birthday problem with unequal probabilities. Tech. Rep. 59, Department of Statistics, University of Wisconsin.Google Scholar
Lieb, E. H. and Mattis, D. C. (eds) (1966). Mathematical Physics in One Dimension: Exactly Soluble Models of Interacting Particles. Academic Press.Google Scholar
Mandjes, M. (2011). Generalized birthday problems in the large-deviations regime. Preprint.Google Scholar
Nunnikhoven, T. S. (1992). A birthday problem solution for nonuniform birth frequencies. Amer. Statistician 46, 270274.Google Scholar
Rényi, A. (1958). On a one-dimensional problem concerning random space-filling. Publ. Math. Inst. Hung. Acad. Sci. 3, 109127.Google Scholar
Salsburg, Z. W., Zwanzig, R. W. and Kirkwood, J. G. (1953). Molecular distribution functions in a one-dimensional fluid. J. Chem. Phys. 21, 10981107.CrossRefGoogle Scholar
Takahashi, H. (1942). Eine einfache Methode zur Behandlung der statistischen Mechanik eindimensionaler Substanzen. Proc. Phys. Math. Soc. Japan 24, 60. Reprinted in Mathematical Physics in One Dimension, eds Lieb, E. and Mattis, D., Academic Press, New York, 1966, pp. 2527.Google Scholar
Tonks, L. (1936). The complete equation of state of one, two and three-dimensional gases of hard elastic spheres. Phys. Rev. 50, 955963.Google Scholar
Von Mises, R. (1938). Über Aufteilungs- und Besetzungswahrscheinlichkeiten. Rev. Fac. Sci. Univ. Istanbul 4, 145163.Google Scholar