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The Riemann Hypothesis and computers Andrew Odlyzko School of Mathematics University of Minnesota odlyzko@umn.edu http://www.dtc.umn.edu/ odlyzko November 1, 2018 The Riemann Hypothesis a Andrew Odlyzko / 19 Riemann, 1850s: 1


  1. The Riemann Hypothesis and computers Andrew Odlyzko School of Mathematics University of Minnesota odlyzko@umn.edu http://www.dtc.umn.edu/ ∼ odlyzko November 1, 2018 The Riemann Hypothesis a Andrew Odlyzko / 19

  2. Riemann, 1850s: ∞ 1 � ζ ( s ) = n s , s ∈ C , Re( s ) > 1 . n =1 Showed ζ ( s ) can be continued analytically to C \ { 1 } and has a first order pole at s = 1 with residue 1. If ξ ( s ) = π − s / 2 Γ( s / 2) ζ ( s ) , then (functional equation) ξ ( s ) = ξ (1 − s ) . The Riemann Hypothesis a Andrew Odlyzko / 19

  3. Critical strip: complex s−plane critical strip critical line 0 1/2 1 The Riemann Hypothesis a Andrew Odlyzko / 19

  4. Riemann, 1859: almost all nontrivial zeros of the zeta function are on the critical line (positive assertion, no hint of proof) it is likely that all such zeros are on the critical line (now called the Riemann Hypothesis, RH) (ambiguous: cites computations of Gauss and others, not clear how strongly he believed in it) π ( x ) < Li ( x ) The Riemann Hypothesis a Andrew Odlyzko / 19

  5. Rigorous zero determination: ξ ( s ) real on critical line sign changes of ξ ( s ) come from zeros on the line principle of the argument gives total number of zeros, so if zeros simple and on the line, can establish that rigorously (subject to correctness of algorithms, software, and hardware) The Riemann Hypothesis a Andrew Odlyzko / 19

  6. Numerical verifications of RH for first n zeros: Riemann 1859 ? Gram 1903 15 ... Hutchinson 1925 138 Titchmarsh et al. 1935/6 1,041 Turing 1950 (published 1953) 1,054 ... te Riele et al. 1986 1,500,000,000 ... Gourdon 2004 10,000,000,000,000 The Riemann Hypothesis a Andrew Odlyzko / 19

  7. Large blocks of zeros at large heights: 10 23 O. 10 24 Gourdon 10 28 Hiary Bober & Hiary: small blocks at 10 36 10 23 denotes zero number 10 23 , not height The Riemann Hypothesis a Andrew Odlyzko / 19

  8. Algorithms for verifying RH for first n zeros: n 2+ o (1) Euler–Maclaurin 3 2 + o (1) Riemann–Siegel n n 1+ o (1) O.–Sch¨ onhage The Riemann Hypothesis a Andrew Odlyzko / 19

  9. Algorithms for single values of zeta at height t : t 1+ o (1) Euler–Maclaurin t 1 / 2+ o (1) Riemann–Siegel t 3 / 8+ o (1) Sch¨ onhage t 1 / 3+ o (1) Heath-Brown t 4 / 13+ o (1) Hiary The Riemann Hypothesis a Andrew Odlyzko / 19

  10. Interest in zeros of zeta function: numerical verification of RH π ( x ) − Li ( x ) and related functions (more recently) distribution questions related to hypothetical random matrix connections The Riemann Hypothesis a Andrew Odlyzko / 19

  11. Riemann and Ingham: Riemann: Li ( x ρ ) + O ( x 1 / 2 log x ) � π ( x ) = Li ( x ) − ρ Ingham: certain averages of ( π ( x ) − Li ( x )) = nice sums over ρ The Riemann Hypothesis a Andrew Odlyzko / 19

  12. Riemann and Ingham: Littlewood (1914): Riemann “conjecture” that π ( x ) < Li ( x ) false Skewes (1933, assuming RH): first counterexample < 10 10 1034 Ingham approach (with extensive computations but without producing explicit counterexample): < 10 317 The Riemann Hypothesis a Andrew Odlyzko / 19

  13. Beware the law of small numbers (especially in number theory): N ( t ) = 1 + 1 π θ ( t ) + S ( t ) where θ ( t ) is a smooth function, and S ( t ) is small: | S ( t ) | = O (log t ) � t 1 S ( u ) 2 du ∼ c log log t t 10 | S ( t ) | < 1 for t < 280 | S ( t ) | < 2 for t < 6 . 8 × 10 6 The Riemann Hypothesis a largest observed value of | S ( t ) | just 3.3455 Andrew Odlyzko / 19

  14. extreme among 10 6 zeros near zero 10 23 : extreme S(t) around zero number 10^23 1.0 0.5 0.0 −0.5 S(t) −1.0 −1.5 −2.0 5 10 15 20 25 The Riemann Hypothesis a Andrew Odlyzko Gram point scale / 19

  15. Typical behavior of S(t): S(t) around zero number 10^23 1.0 0.5 S(t) 0.0 −0.5 −1.0 1 2 3 4 The Riemann Hypothesis a Andrew Odlyzko Gram point scale / 19

  16. Where should one look for counterexamples to RH? could argue that need to reach regions where S ( t ) is routinely over 100 requires t ∼ 10 10 10 , 000 cannot even specify such heights with available or conceivable technology and counterexamples are likely rare! The Riemann Hypothesis a Andrew Odlyzko / 19

  17. Zeta zeros and random matrices: Nearest neighbor spacings, N = 10^23, 10^9 zeros 1.0 0.8 0.6 density 0.4 0.2 0.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 The Riemann Hypothesis a Andrew Odlyzko normalized spacing / 19

  18. Zeta zeros and random matrices: Nearest neighbor spacings: Empirical minus expected 0.010 0.005 density difference 0.0 -0.005 -0.010 0.0 0.5 1.0 1.5 2.0 2.5 3.0 The Riemann Hypothesis a normalized spacing Andrew Odlyzko / 19

  19. Conclusion (from a sign in a computing support office): We are sorry that we have not been able to solve all of your problems, and we realize that you are about as confused now as when you came to us for help. However, we hope that you are now confused on a higher level of understanding than before. The Riemann Hypothesis a Andrew Odlyzko / 19

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