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Orthogonal and Symplectic $n$-level Densities
 
A. M. Mason University of Oxford, Oxford, United Kingdom
N. C. Snaith University of Bristol, Bristol, United Kingdom
Orthogonal and Symplectic $n$-level Densities
eBook ISBN:  978-1-4704-4262-0
Product Code:  MEMO/251/1194.E
List Price: $78.00
MAA Member Price: $70.20
AMS Member Price: $47.00
Orthogonal and Symplectic $n$-level Densities
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Orthogonal and Symplectic $n$-level Densities
A. M. Mason University of Oxford, Oxford, United Kingdom
N. C. Snaith University of Bristol, Bristol, United Kingdom
eBook ISBN:  978-1-4704-4262-0
Product Code:  MEMO/251/1194.E
List Price: $78.00
MAA Member Price: $70.20
AMS Member Price: $47.00
  • Book Details
     
     
    Memoirs of the American Mathematical Society
    Volume: 2512018; 93 pp
    MSC: Primary 11; Secondary 15

    In this paper the authors apply to the zeros of families of \(L\)-functions with orthogonal or symplectic symmetry the method that Conrey and Snaith (Correlations of eigenvalues and Riemann zeros, 2008) used to calculate the \(n\)-correlation of the zeros of the Riemann zeta function. This method uses the Ratios Conjectures (Conrey, Farmer, and Zimbauer, 2008) for averages of ratios of zeta or \(L\)-functions. Katz and Sarnak (Zeroes of zeta functions and symmetry, 1999) conjecture that the zero statistics of families of \(L\)-functions have an underlying symmetry relating to one of the classical compact groups \(U(N)\), \(O(N)\) and \(USp(2N)\).

    Here the authors complete the work already done with \(U(N)\) (Conrey and Snaith, Correlations of eigenvalues and Riemann zeros, 2008) to show how new methods for calculating the \(n\)-level densities of eigenangles of random orthogonal or symplectic matrices can be used to create explicit conjectures for the \(n\)-level densities of zeros of \(L\)-functions with orthogonal or symplectic symmetry, including all the lower order terms. They show how the method used here results in formulae that are easily modified when the test function used has a restricted range of support, and this will facilitate comparison with rigorous number theoretic \(n\)-level density results.

  • Table of Contents
     
     
    • Chapters
    • 1. Introduction
    • 2. Eigenvalue Statistics of Orthogonal Matrices
    • 3. Eigenvalue Statistics of Symplectic Matrices
    • 4. $L$-functions
    • 5. Zero Statistics of Elliptic Curve $L$-functions
    • 6. Zero Statistics of Quadratic Dirichlet $L$-functions
    • 7. $n$-level Densities with Restricted Support
    • 8. Example Calculations
  • Additional Material
     
     
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Permission – for use of book, eBook, or Journal content
    Accessibility – to request an alternate format of an AMS title
Volume: 2512018; 93 pp
MSC: Primary 11; Secondary 15

In this paper the authors apply to the zeros of families of \(L\)-functions with orthogonal or symplectic symmetry the method that Conrey and Snaith (Correlations of eigenvalues and Riemann zeros, 2008) used to calculate the \(n\)-correlation of the zeros of the Riemann zeta function. This method uses the Ratios Conjectures (Conrey, Farmer, and Zimbauer, 2008) for averages of ratios of zeta or \(L\)-functions. Katz and Sarnak (Zeroes of zeta functions and symmetry, 1999) conjecture that the zero statistics of families of \(L\)-functions have an underlying symmetry relating to one of the classical compact groups \(U(N)\), \(O(N)\) and \(USp(2N)\).

Here the authors complete the work already done with \(U(N)\) (Conrey and Snaith, Correlations of eigenvalues and Riemann zeros, 2008) to show how new methods for calculating the \(n\)-level densities of eigenangles of random orthogonal or symplectic matrices can be used to create explicit conjectures for the \(n\)-level densities of zeros of \(L\)-functions with orthogonal or symplectic symmetry, including all the lower order terms. They show how the method used here results in formulae that are easily modified when the test function used has a restricted range of support, and this will facilitate comparison with rigorous number theoretic \(n\)-level density results.

  • Chapters
  • 1. Introduction
  • 2. Eigenvalue Statistics of Orthogonal Matrices
  • 3. Eigenvalue Statistics of Symplectic Matrices
  • 4. $L$-functions
  • 5. Zero Statistics of Elliptic Curve $L$-functions
  • 6. Zero Statistics of Quadratic Dirichlet $L$-functions
  • 7. $n$-level Densities with Restricted Support
  • 8. Example Calculations
Review Copy – for publishers of book reviews
Permission – for use of book, eBook, or Journal content
Accessibility – to request an alternate format of an AMS title
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