2009
DOI: 10.3390/sym1010064
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Nuclei, Primes and the Random Matrix Connection

Abstract: In this article, we discuss the remarkable connection between two very different fields, number theory and nuclear physics. We describe the essential aspects of these fields, the quantities studied, and how insights in one have been fruitfully applied in the other. The exciting branch of modern mathematics -random matrix theory -provides the connection between the two fields. We assume no detailed knowledge of number theory, nuclear physics, or random matrix theory; all that is required is some familiarity wit… Show more

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Cited by 41 publications
(31 citation statements)
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References 115 publications
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“…For a sample of the literature, see [BMSW,Bru,BM,CPRW,DFK,Gao,Go,GM,Kow1,Kow2,Mi,Mil2,RSi,RuSi,Sil3,Yo2,ZK] (especially the surveys [BMSW,Kow1,RuSi]). …”
Section: Explicit Formulamentioning
confidence: 99%
“…For a sample of the literature, see [BMSW,Bru,BM,CPRW,DFK,Gao,Go,GM,Kow1,Kow2,Mi,Mil2,RSi,RuSi,Sil3,Yo2,ZK] (especially the surveys [BMSW,Kow1,RuSi]). …”
Section: Explicit Formulamentioning
confidence: 99%
“…Now that the main terms have been shown to agree, it is natural to look at the lower order terms (see [FI,HKS,Mil2,Mil4,MilPe,Yo1] for some examples). We give two applications of these terms.…”
Section: Introductionmentioning
confidence: 99%
“…There are now many examples where the main term in 1-level density calculations in number theory agrees with the Katz-Sarnak conjectures (at least for suitably restricted test functions), such as all Dirichlet characters, quadratic Dirichlet characters, L(s, ψ) with ψ a character of the ideal class group of the imaginary quadratic field Q( √ −D ) (as well as other number fields), families of elliptic curves, weight k level N cuspidal newforms, symmetric powers of GL(2) L-functions, and certain families of GL(4) and GL(6) L-functions (see [DM1,DM2,FI,Gao,Gü,HR,HuMil,ILS,KaSa2,Mil1,MilPe,OS1,OS2,RR,Ro,Rub,Yo2]). Now that the main terms have been shown to agree, it is natural to look at the lower order terms (see [FI,HKS,Mil2,Mil4,MilPe,Yo1] for some examples).…”
Section: Introductionmentioning
confidence: 99%
“…Since its inception, Random Matrix Theory has been a powerful tool in modeling highly complicated systems, with applications in statistics [24], nuclear physics [19][20][21][22][23], and number theory [12][13][14]; see [8] for a history of the development of some of these connections. An interesting problem in Random Matrix Theory is to study subensembles of real symmetric matrices by introducing additional structure.…”
Section: Introductionmentioning
confidence: 99%