BddAboveOnRect to I5Bound
LemmaBddAboveOnRect#
Let \(g : \mathbb{C} \to \mathbb{C}\) be a holomorphic function on a rectangle, then \(g\) is bounded above on the rectangle.
Proof
Use the compactness of the rectangle and the fact that holomorphic functions are continuous.
Lean
Formalized as BddAboveOnRect.
Sources
TheoremSmoothedChebyshevPull1#
We have that
Proof
Pull rectangle contours and evaluate the pole at \(s=1\).
Lean
Formalized as SmoothedChebyshevPull1.
Sources
Uses 19 · Used by 1
Next pull contours to another box.
LemmaSmoothedChebyshevPull2#
We have that
Proof
Mimic the proof of Lemma SmoothedChebyshevPull1.
Lean
Formalized as SmoothedChebyshevPull2.
Sources
Uses 13 · Used by 1
We insert this information in \(\psi_{\epsilon}\). We add and subtract the integral over the box \([1-\delta,2] \times_{ℂ} [-T,T]\), which we evaluate as follows
TheoremZetaBoxEval#
For all \(\epsilon > 0\) sufficiently close to \(0\), the rectangle integral over \([1-\delta,2] \times_{ℂ} [-T,T]\) of the integrand in \(\psi_{\epsilon}\) is
where the implicit constant is independent of \(X\).
Proof
Unfold the definitions and apply Lemma MellinOfSmooth1c.
Lean
Formalized as ZetaBoxEval.
Sources
Uses 2
It remains to estimate all of the integrals.
This auxiliary lemma is useful for what follows.
LemmaIBound-aux1#
Given a natural number \(k\) and a real number \(X_0 > 0\), there exists \(C \geq 1\) so that for all \(X \geq X_0\),
Proof
We use the fact that \(\log^k X / X\) goes to \(0\) as \(X \to \infty\). Then we use the extreme value theorem to find a constant \(C\) that works for all \(X \geq X_0\).
Lean
Formalized as IBound_aux1.
Sources
Used by 1
LemmaI1Bound#
We have that
Proof
Unfold the definitions and apply the triangle inequality.
By Theorem dlog-riemannZeta-bdd-on-vertical-lines, \(\zeta'/\zeta (\sigma_0 + t i)\) is bounded by \(\zeta'/\zeta(\sigma_0)\), and Theorem riemannZetaLogDerivResidue gives \(\ll 1/(\sigma_0-1)\) for the latter. This gives:
where we used Theorem MellinOfSmooth1b. Continuing the calculation, we have
where we used that \(\sigma_0=1+1/\log X\), and \(X^{\sigma_0} = X\cdot X^{1/\log X}=e \cdot X\).
Lean
Formalized as I1Bound.
Sources
Uses 5 · Used by 2
LemmaI9Bound#
We have that
Proof
We deduce this from the corresponding bound for \(I_1\), using the symmetry between \(I_1\) and \(I_9\).
Lean
Formalized as I9Bound.
Sources
Uses 5 · Used by 1
LemmaI2GenBound#
Assuming a bound of the form of Definition LogDerivZetaHasBound we have that
Proof
Unfold the definitions and apply the triangle inequality.
where we used Theorems MellinOfSmooth1b, the hypothesised bound on zeta and the fact that \(X^\sigma \le X^{\sigma_0} = X\cdot X^{1/\log X}=e \cdot X\). Since \(T>3\), we have \(\log T^{n_2} \leq C''' T\).
Lean
Formalized as I2GenBound.
Sources
Uses 5 · Used by 2
LemmaI8I2#
Symmetry between \(I_2\) and \(I_8\):
Proof
This is a direct consequence of the definitions of \(I_2\) and \(I_8\).
Lean
Formalized as I8I2.
Sources
Uses 5 · Used by 1
LemmaI8GenBound#
Assuming a bound of the form of Definition LogDerivZetaHasBound, we have that
Proof
We deduce this from the corresponding bound for \(I_2\), using the symmetry between \(I_2\) and \(I_8\).
Lean
Formalized as I8GenBound.
Sources
Uses 5 · Used by 1
LemmaReal.log-le-const-mul-rpow#
For all \(0\lt c\) and \(0\lt x\) we have that
Proof
By Real.log_le_sub_one_of_pos we know that \(\log y\leq y-1\). If we set \(y=x^{1/c}\) this becomes
Multiplying through by \(c\) we have
as desired.
Lean
Formalized as Real.log_le_const_mul_rpow.
Sources
Used by 1
Lemmalog-pow-over-xsq-integral-bounded#
For every \(0\lt n\) there exists a constant \(C>0\) (depending on \(n\)) such that
Proof
Using the previous lemma, we know for all \(0\lt c\) and \(0\lt x\) that
Now if we choose \(c=2n\) then
This function is dominates the integrand and is integrable in \(x\) by the \(p\)-test.
Lean
Formalized as log_pow_over_xsq_integral_bounded.
Sources
Uses 1 · Used by 1
LemmaI3GenBound#
Assuming a bound of the form of Definition LogDerivZetaHasBound, we have that
Proof
Unfold the definitions and apply the triangle inequality.
where we used Theorems MellinOfSmooth1b and the hypothesised bound on zeta. Now we estimate \(X^{\sigma_1} = X \cdot X^{-A/ \log T^{n_1}}\), and the integral is absolutely bounded.
Lean
Formalized as I3GenBound.
Sources
Uses 5 · Used by 2
LemmaI7GenBound#
Assuming a bound of the form of Definition LogDerivZetaHasBound, we have that
Proof
We deduce this from the corresponding bound for \(I_3\), using the symmetry between \(I_3\) and \(I_7\).
Lean
Formalized as I7GenBound.
Sources
Uses 7 · Used by 1
LemmaI4GenBound#
Assuming a bound of the form of Definition LogDerivZetaHasBound, we have that
Proof
The analysis of \(I_4\) is similar to that of \(I_2\), (in Lemma I2Bound) but even easier. Let \(C\) be the sup of \(-\zeta'/\zeta\) on the curve \(\sigma_2 + 3 i\) to \(1+ 3i\) (this curve is compact, and away from the pole at \(s=1\)). Apply Theorem MellinOfSmooth1b to get the bound \(1/(\epsilon |s|^2)\), which is bounded by \(C'/\epsilon\). And \(X^s\) is bounded by \(X^{\sigma_1}=X \cdot X^{-A/ \log T^{n_1}}\). Putting these together gives the result.
Lean
Formalized as I4GenBound.
Sources
Uses 3 · Used by 2
LemmaI6GenBound#
Assuming a bound of the form of Definition LogDerivZetaHasBound, we have that
Proof
We deduce this from the corresponding bound for \(I_4\), using the symmetry between \(I_4\) and \(I_6\).
Lean
Formalized as I6GenBound.
Sources
Uses 6 · Used by 1
LemmaI5Bound#
We have that
Proof
Here \(\zeta'/\zeta\) is absolutely bounded on the compact interval \(\sigma_2 + i [-3,3]\), and \(X^s\) is bounded by \(X^{\sigma_2}\). Using Theorem MellinOfSmooth1b gives the bound \(1/(\epsilon |s|^2)\), which is bounded by \(C'/\epsilon\). Putting these together gives the result.
Lean
Formalized as I5Bound.
Sources
Uses 3 · Used by 1
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