Journal article
A local limit theorem in the theory of overpartitions
Drexel University. College of Arts and Sciences. Department of Mathematics. Faculty Research and Publications.
09 Jul 2007
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Abstract
An overpartition of an integer n is a partition where the last occurrence of a part can be overlined. We study the weight of the overlined parts of an overpartition counted with or without their multiplicities. This is a continuation of a work by Corteel and Hitczenko where it was shown that the expected weight of the overlined parts is asymptotic to n/3 as n ! 1 and that the expected weight of the of the overlined parts counted with multiplicity is n/2. Here we refine these results. We first compute the asymptotics of the variance of the weight of the overlined parts counted with multiplicity. We then asymptotically evaluate the probability that the weight of the overlined parts is n/3 ± k for k = o(n) and the probability that the weight of the overlined parts counted with multiplicity is n/2 ± k for k = o(n). The first computation is straightforward and uses known asymptotics of partitions. The second one is more involved and requires a sieve argument and the application of the saddle point method. From that we can directly evaluate the probability that two random partitions of n do not share a part.
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Details
- Title
- A local limit theorem in the theory of overpartitions
- Creators
- Sylvie Corteel (Author) - Drexel University (1970-)William M. Y. Goh (Author) - Drexel University (1970-)Pawel Hitczenko (Author) - Drexel University (1970-)
- Publication Details
- Drexel University. College of Arts and Sciences. Department of Mathematics. Faculty Research and Publications.
- Publisher
- Springer Nature
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- College of Arts and Sciences; Drexel University (1970-); Mathematics
- Web of Science ID
- WOS:000243383500005
- Scopus ID
- 2-s2.0-33846862238
- Other Identifier
- 991014632201604721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Software Engineering
- Mathematics, Applied