paint-brush
Discrete Mean Estimates and the Landau-Siegel Zero: Evaluation of Ξ11by@eigenvalue

Discrete Mean Estimates and the Landau-Siegel Zero: Evaluation of Ξ11

tldt arrow

Too Long; Didn't Read

This section dives into the calculation of Ξ11, employing Lemma 8.2 and Lemma 8.3 to evaluate integrals and apply the large sieve inequality for a comprehensive understanding.
featured image - Discrete Mean Estimates and the Landau-Siegel Zero: Evaluation of Ξ11
Eigen Value Equation Population  HackerNoon profile picture

Author:

(1) Yitang Zhang.

  1. Abstract & Introduction
  2. Notation and outline of the proof
  3. The set Ψ1
  4. Zeros of L(s, ψ)L(s, χψ) in Ω
  5. Some analytic lemmas
  6. Approximate formula for L(s, ψ)
  7. Mean value formula I
  8. Evaluation of Ξ11
  9. Evaluation of Ξ12
  10. Proof of Proposition 2.4
  11. Proof of Proposition 2.6
  12. Evaluation of Ξ15
  13. Approximation to Ξ14
  14. Mean value formula II
  15. Evaluation of Φ1
  16. Evaluation of Φ2
  17. Evaluation of Φ3
  18. Proof of Proposition 2.5

Appendix A. Some Euler products

Appendix B. Some arithmetic sums

References

8. Evaluation of Ξ11

We first prove a general result as follows.





By Proposition 7.1, our goal is reduced to evaluating the sum



Write



so that



Lemma 8.2. Suppose T < x < P. Then for µ = 6, 7



where



Proof. The sum is equal to



We move the contour of integration to the vertical segments



and to the two connecting horizontal segments



It follows by Lemma 5.6 that



The result now follows by direct calculation.



Combining these results with Lemma 8.3, we find that the integral (8.9) is equal to



The result now follows by direct calculation.






This paper is available on arxiv under CC 4.0 license.