zeroTendstoDiff to residueAtZero
LemmazeroTendstoDiff#
If the limit of \(0\) is \(L_1 - L_2\), then \(L_1 = L_2\).
Used by 2
LemmaRectangleIntegral-tendsTo-VerticalIntegral#
Let \(\sigma,\sigma' \in \mathbb{R}\), and \(f : \mathbb{C} \to \mathbb{C}\) such that the vertical integrals \(\int_{(\sigma)}f(s)ds\) and \(\int_{(\sigma')}f(s)ds\) exist and the horizontal integral \(\int_{(\sigma)}^{\sigma'}f(x + yi)dx\) vanishes as \(y \to \pm \infty\). Then the limit of rectangle integrals
Proof
Almost by definition.
Lean
Formalized as RectangleIntegral_tendsTo_VerticalIntegral.
Sources
Uses 2 · Used by 4
LemmaRectangleIntegral-tendsTo-UpperU#
Let \(\sigma,\sigma' \in \mathbb{R}\), and \(f : \mathbb{C} \to \mathbb{C}\) such that the vertical integrals \(\int_{(\sigma)}f(s)ds\) and \(\int_{(\sigma')}f(s)ds\) exist and the horizontal integral \(\int_{(\sigma)}^{\sigma'}f(x + yi)dx\) vanishes as \(y \to \pm \infty\). Then the limit of rectangle integrals
as \(U\to\infty\) is the “UpperUIntegral” of \(f\).
Proof
Almost by definition.
Lean
Formalized as RectangleIntegral_tendsTo_UpperU.
Sources
Uses 2
LemmaRectangleIntegral-tendsTo-LowerU#
Let \(\sigma,\sigma' \in \mathbb{R}\), and \(f : \mathbb{C} \to \mathbb{C}\) such that the vertical integrals \(\int_{(\sigma)}f(s)ds\) and \(\int_{(\sigma')}f(s)ds\) exist and the horizontal integral \(\int_{(\sigma)}^{\sigma'}f(x + yi)dx\) vanishes as \(y \to -\infty\). Then the limit of rectangle integrals
as \(U\to\infty\) is the “LowerUIntegral” of \(f\).
Proof
Almost by definition.
Lean
Formalized as RectangleIntegral_tendsTo_LowerU.
Sources
Uses 2
TODO : Move to general section
LemmalimitOfConstant#
Let \(a:\mathbb{R}\to\mathbb{C}\) be a function, and let \(\sigma>0\) be a real number. Suppose that, for all \(\sigma, \sigma'>0\), we have \(a(\sigma')=a(\sigma)\), and that \(\lim_{\sigma\to\infty}a(\sigma)=0\). Then \(a(\sigma)=0\).
Proof
Lean
Formalized as limitOfConstant.
Sources
Used by 1
LemmalimitOfConstantLeft#
Let \(a:\mathbb{R}\to\mathbb{C}\) be a function, and let \(\sigma<-3/2\) be a real number. Suppose that, for all \(\sigma, \sigma'>0\), we have \(a(\sigma')=a(\sigma)\), and that \(\lim_{\sigma\to-\infty}a(\sigma)=0\). Then \(a(\sigma)=0\).
Proof
Lean
Formalized as limitOfConstantLeft.
Sources
Used by 1
Lemmatendsto-rpow-atTop-nhds-zero-of-norm-lt-one#
Let \(x>0\) and \(x<1\). Then
Proof
Standard.
Lean
Formalized as tendsto_rpow_atTop_nhds_zero_of_norm_lt_one.
Sources
Used by 2
Lemmatendsto-rpow-atTop-nhds-zero-of-norm-gt-one#
Let \(x>1\). Then
Proof
Standard.
Lean
Formalized as tendsto_rpow_atTop_nhds_zero_of_norm_gt_one.
Sources
Uses 1 · Used by 1
LemmaisHolomorphicOn#
Let \(x>0\). Then the function \(f(s) = x^s/(s(s+1))\) is holomorphic on the half-plane \(\{s\in\mathbb{C}:\Re(s)>0\}\).
Proof
Composition of differentiabilities.
Lean
Formalized as Perron.isHolomorphicOn.
Sources
Used by 7
LemmaintegralPosAux#
The integral
is positive (and hence convergent - since a divergent integral is zero in Lean, by definition).
Proof
This integral is between \(\frac{1}{2}\) and \(1\) of the integral of \(\frac{1}{1+t^2}\), which is \(\pi\).
Lean
Formalized as Perron.integralPosAux.
Sources
Used by 2
LemmavertIntBound#
Let \(x>0\) and \(\sigma>1\). Then
Proof
Triangle inequality and pointwise estimate.
Lean
Formalized as Perron.vertIntBound.
Sources
Uses 2 · Used by 1
LemmavertIntBoundLeft#
Let \(x>1\) and \(\sigma<-3/2\). Then
Proof
Triangle inequality and pointwise estimate.
Lean
Formalized as Perron.vertIntBoundLeft.
Sources
Uses 1 · Used by 1
LemmaisIntegrable#
Let \(x>0\) and \(\sigma\in\mathbb{R}\). Then
is integrable.
Proof
By isHolomorphicOn, \(f\) is continuous, so it is integrable on any interval.
Also, \(|f(x)| = \Theta(x^{-2})\) as \(x\to\infty\),
and \(|f(-x)| = \Theta(x^{-2})\) as \(x\to\infty\).
Since \(g(x) = x^{-2}\) is integrable on \([a,\infty)\) for any \(a>0\), we conclude.
Lean
Formalized as Perron.isIntegrable.
Sources
Uses 1 · Used by 4
Lemmatendsto-zero-Lower#
Let \(x>0\) and \(\sigma',\sigma''\in\mathbb{R}\). Then
goes to \(0\) as \(t\to-\infty\).
Proof
The numerator is bounded and the denominator tends to infinity.
Lean
Formalized as Perron.tendsto_zero_Lower.
Sources
Used by 4
Lemmatendsto-zero-Upper#
Let \(x>0\) and \(\sigma',\sigma''\in\mathbb{R}\). Then
goes to \(0\) as \(t\to\infty\).
Proof
The numerator is bounded and the denominator tends to infinity.
Lean
Formalized as Perron.tendsto_zero_Upper.
Sources
Used by 4
We are ready for the first case of the Perron formula, namely when \(x<1\):
LemmaformulaLtOne#
For \(x>0\), \(\sigma>0\), and \(x<1\), we have
Proof
Let \(f(s) = x^s/(s(s+1))\). Then \(f\) is holomorphic on the half-plane \(\{s\in\mathbb{C}:\Re(s)>0\}\). The rectangle integral of \(f\) with corners \(\sigma-iT\) and \(\sigma+iT\) is zero. The limit of this rectangle integral as \(T\to\infty\) is \(\int_{(\sigma')}-\int_{(\sigma)}\). Therefore, \(\int_{(\sigma')}=\int_{(\sigma)}\).
But we also have the bound \(\int_{(\sigma')} \leq x^{\sigma'} * C\), where \(C=\int_\mathbb{R}\frac{1}{|(1+t)(1+t+1)|}dt\).
Therefore \(\int_{(\sigma')}\to 0\) as \(\sigma'\to\infty\).
So pulling contours gives \(\int_{(\sigma)}=0\).
Lean
Formalized as Perron.formulaLtOne.
Sources
Uses 12
The second case is when \(x>1\). Here are some auxiliary lemmata for the second case. TODO: Move to more general section
LemmakeyIdentity#
Let \(x\in \mathbb{R}\) and \(s \ne 0, -1\). Then
Used by 2
LemmadiffBddAtZero#
Let \(x>0\). Then for \(0 < c < 1 /2\), we have that the function
is bounded above on the rectangle with corners at \(-c-i*c\) and \(c+i*c\) (except at \(s=0\)).
Proof
Applying Lemma keyIdentity, the function \(s ↦ x^s/s(s+1) - 1/s = x^s/s - x^0/s - x^s/(1+s)\). The last term is bounded for \(s\) away from \(-1\). The first two terms are the difference quotient of the function \(s ↦ x^s\) at \(0\); since it's differentiable, the difference remains bounded as \(s\to 0\).
Lean
Formalized as Perron.diffBddAtZero.
Sources
Uses 1 · Used by 1
LemmadiffBddAtNegOne#
Let \(x>0\). Then for \(0 < c < 1 /2\), we have that the function
is bounded above on the rectangle with corners at \(-1-c-i*c\) and \(-1+c+i*c\) (except at \(s=-1\)).
Proof
Applying Lemma keyIdentity, the function \(s ↦ x^s/s(s+1) - x^{-1}/(s+1) = x^s/s - x^s/(s+1) - (-x^{-1})/(s+1)\). The first term is bounded for \(s\) away from \(0\). The last two terms are the difference quotient of the function \(s ↦ x^s\) at \(-1\); since it's differentiable, the difference remains bounded as \(s\to -1\).
Lean
Formalized as Perron.diffBddAtNegOne.
Sources
Uses 1 · Used by 1
LemmaresidueAtZero#
Let \(x>0\). Then for all sufficiently small \(c>0\), we have that
Proof
For \(c>0\) sufficiently small,
\(x^s/(s(s+1))\) is equal to \(1/s\) plus a function, \(g\), say, holomorphic in the whole rectangle (by Lemma diffBddAtZero).
Now apply Lemma ResidueTheoremOnRectangleWithSimplePole.
Lean
Formalized as Perron.residueAtZero.
Sources
Uses 5 · Used by 1
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