# Computational Aspects of Modular Forms and Galois Representations : How One Can Compute in Polynomial Time the Value of Ramanujan's Tau at a Prime (AM-176).

Series: Annals of Mathematics StudiesPublisher: Princeton : Princeton University Press, 2011Copyright date: ©2011Description: 1 online resource (438 pages)Content type:- text

- computer

- online resource

- 9781400839001

- 512.32

- QA247 -- .C638 2011eb

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Cover -- Title -- Copyright -- Contents -- Preface -- Acknowledgments -- Author information -- Dependencies between the chapters -- Chapter 1. Introduction, main results, context -- 1.1 Statement of the main results -- 1.2 Historical context: Schoof's algorithm -- 1.3 Schoof's algorithm described in terms of étale cohomology -- 1.4 Some natural new directions -- 1.5 More historical context: congruences for Ramanujan's τ-function -- 1.6 Comparison with p-adic methods -- Chapter 2. Modular curves, modular forms, lattices, Galois representations -- 2.1 Modular curves -- 2.2 Modular forms -- 2.3 Lattices and modular forms -- 2.4 Galois representations attached to eigenforms -- 2.5 Galois representations over finite fields, and reduction to torsion in Jacobians -- Chapter 3. First description of the algorithms -- Chapter 4. Short introduction to heights and Arakelov theory -- 4.1 Heights on Q and Q -- 4.2 Heights on projective spaces and on varieties -- 4.3 The Arakelov perspective on height functions -- 4.4 Arithmetic surfaces, intersection theory, and arithmetic Riemann-Roch -- Chapter 5. Computing complex zeros of polynomials and power series -- 5.1 Polynomial time complexity classes -- 5.2 Computing the square root of a positive real number -- 5.3 Computing the complex roots of a polynomial -- 5.4 Computing the zeros of a power series -- Chapter 6. Computations with modular forms and Galois representations -- 6.1 Modular symbols -- 6.2 Intermezzo: Atkin-Lehner operators -- 6.3 Basic numerical evaluations -- 6.4 Numerical calculations and Galois representations -- Chapter 7. Polynomials for projective representations of level one forms -- 7.1 Introduction -- 7.2 Galois representations -- 7.3 Proof of the theorem -- 7.4 Proof of the corollary -- 7.5 The table of polynomials -- Chapter 8. Description of X[sub(1)](5l).

8.1 Construction of a suitable cuspidal divisor on x[sub(1)].5l -- 8.2 The exact setup for the level one case -- Chapter 9. Applying Arakelov theory -- 9.1 Relating heights to intersection numbers -- 9.2 Controlling D[sub(x)]-D[sub(0)] -- Chapter 10. An upper bound for Green functions on Riemann surfaces -- Chapter 11. Bounds for Arakelov invariants of modular curves -- 11.1 Bounding the height of X[sub(1)](pl) -- 11.2 Bounding the theta function on Pic[sup(g-1)](X[sub(1)](pl)) -- 11.3 Upper bounds for Arakelov Green functions on the curves X[sub(1)](pl) -- 11.4 Bounds for intersection numbers on X[sub(1)](pl) -- 11.5 A bound for h(x[sup(′)][sub(l)](Q)) in terms of h(b([sub(l)](Q)) -- 11.6 An integral over X[sub(1)](5l) -- 11.7 Final estimates of the Arakelov contribution -- Chapter 12. Approximating V[sub(f)] over the complex numbers -- 12.1 Points, divisors, and coordinates on X -- 12.2 The lattice of periods -- 12.3 Modular functions -- 12.4 Power series -- 12.5 Jacobian and Wronskian determinants of series -- 12.6 A simple quantitative study of the Jacobi map -- 12.7 Equivalence of various norms -- 12.8 An elementary operation in the Jacobian variety -- 12.9 Arithmetic operations in the Jacobian variety -- 12.10 The inverse Jacobi problem -- 12.11 The algebraic conditioning -- 12.12 Heights -- 12.13 Bounding the error in X[sub(g)] -- 12.14 Final result of this chapter -- Chapter 13. Computing V[sub(f)] modulo p -- 13.1 Basic algorithms for plane curves -- 13.2 A first approach to picking random divisors -- 13.3 Pairings -- 13.4 Divisible groups -- 13.5 The Kummer map -- 13.6 Linearization of torsion classes -- 13.7 Computing V[sub(f)] modulo p -- Chapter 14. Computing the residual Galois representations -- 14.1 Main result -- 14.2 Reduction to irreducible representations -- 14.3 Reduction to torsion in Jacobians -- 14.4 Computing the Q(ζl.

l)-algebra corresponding to V -- 14.5 Computing the vector space structure -- 14.6 Descent to Q -- 14.7 Extracting the Galois representation -- 14.8 A probabilistic variant -- Chapter 15. Computing coefficients of modular forms -- 15.1 Computing τ(p) in time polynomial in log p -- 15.2 Computing Tn for large n and large weight -- 15.3 An application to quadratic forms -- Epilogue -- Bibliography -- Index -- Non-alphabetic symbols -- Greek symbols -- Roman symbols -- Words -- A -- C -- D -- E -- F -- G -- H -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- W.

Modular forms are tremendously important in various areas of mathematics, from number theory and algebraic geometry to combinatorics and lattices. Their Fourier coefficients, with Ramanujan's tau-function as a typical example, have deep arithmetic significance. Prior to this book, the fastest known algorithms for computing these Fourier coefficients took exponential time, except in some special cases. The case of elliptic curves (Schoof's algorithm) was at the birth of elliptic curve cryptography around 1985. This book gives an algorithm for computing coefficients of modular forms of level one in polynomial time. For example, Ramanujan's tau of a prime number p can be computed in time bounded by a fixed power of the logarithm of p. Such fast computation of Fourier coefficients is itself based on the main result of the book: the computation, in polynomial time, of Galois representations over finite fields attached to modular forms by the Langlands program. Because these Galois representations typically have a nonsolvable image, this result is a major step forward from explicit class field theory, and it could be described as the start of the explicit Langlands program. The computation of the Galois representations uses their realization, following Shimura and Deligne, in the torsion subgroup of Jacobian varieties of modular curves. The main challenge is then to perform the necessary computations in time polynomial in the dimension of these highly nonlinear algebraic varieties. Exact computations involving systems of polynomial equations in many variables take exponential time. This is avoided by numerical approximations with a precision that suffices to derive exact results from them. Bounds for the required precision--in other words, bounds for the height of the rational numbers that describe the Galois representation to be computed--are obtained

from Arakelov theory. Two types of approximations are treated: one using complex uniformization and another one using geometry over finite fields. The book begins with a concise and concrete introduction that makes its accessible to readers without an extensive background in arithmetic geometry. And the book includes a chapter that describes actual computations.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2019. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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