advanced32 min studyLesson 588 in Mathematics

Perron formula and contour shifting

Invert a Dirichlet series with endpoint weights and keep every contour error under control.

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What you’ll understand

  • Interpret the Perron kernel including its half value at one.
  • Bound a finite-height inverse integral before shifting it.
  • Account for residues and all remaining sides of a finite contour.

A Dirichlet series compresses arithmetic coefficients into a function of a complex variable. Perron’s formula reverses that compression by integrating against a kernel that becomes a step function. The reversal is delicate at integer endpoints and at finite integration height. Contour shifting then exposes main terms through residues, but those residues describe the answer only after the integrals on the other sides of the contour have been bounded.

The inverse kernel has a half jump

For a positive real parameter yy and fixed c>0c>0, integrate ys/sy^s/s along the vertical segment from c−iTc-iT to c+iTc+iT, oriented upward. Here ysy^s uses the real logarithm. As the height tends to infinity symmetrically, the normalized integral tends to one when y>1y>1, zero when y<1y<1, and one half when y=1y=1. Closing a finite rectangle to the left or right explains the first two values; the symmetric endpoint value can also be calculated directly.

At y=1y=1, direct integration gives KT(1)=π−1arctan⁡(T/c)K_T(1)=\pi^{-1}\arctan(T/c). This is not exactly one half at a finite height. For a Dirichlet series absolutely convergent to the right of its abscissa, choose cc greater than both that abscissa and zero. At finite height, absolute convergence justifies exchanging the coefficient sum and integral. The limiting kernel then selects coefficients with indices below the endpoint and half of the endpoint coefficient when the endpoint is an integer.

∑n≤x′an=lim⁡T→∞12πi∫c−iTc+iTF(s)xss ds,c>max⁡(σa,0),x>0.\sum_{n\leq x}'a_n=\lim_{T\to\infty}\frac1{2\pi i}\int_{c-iT}^{c+iT}F(s)\frac{x^s}{s}\,ds,\qquad c>\max(\sigma_a,0),\quad x>0.
The prime on the sum means half weight for n=x when x is an integer; the vertical limit is symmetric.↔ Scroll wide equations horizontally.

Finite-height inversion needs an error term

A truncated kernel is not an exact indicator. Away from y=1y=1, its error is bounded, up to an absolute constant, by ycmin⁡(1,(T∣log⁡y∣)−1)y^c\min(1,(T|\log y|)^{-1}); at one its error is at most a constant times c/Tc/T. Summing these coefficientwise yields the displayed bound for a fixed positive line parameter. The sum is finite as an absolute quantity because its minimum factor is at most one and the Dirichlet series converges absolutely on the chosen line.

The troublesome indices are those close to the endpoint, where the logarithmic denominator is small. A noninteger endpoint bounded away from integers is easier to estimate than an endpoint approaching a large coefficient. At an integer, the half-weight convention isolates that coefficient and its separate error explicitly. To prove convergence at a fixed endpoint, dominated convergence applies to the coefficient error sum with its absolutely summable majorant. To prove a uniform estimate as the endpoint grows requires additional arithmetic bounds; fixed-endpoint convergence alone is insufficient.

∣IT(x)−∑n≤x′an∣≪∑n≠x∣an∣(xn)cmin⁡ ⁣(1,1T∣log⁡(x/n)∣)+cT∣ax∣1x∈N,\left|I_T(x)-\sum_{n\leq x}'a_n\right|\ll\sum_{n\ne x}|a_n|\left(\frac xn\right)^c\min\!\left(1,\frac1{T|\log(x/n)|}\right)+\frac cT|a_x|\mathbf1_{x\in\mathbb N},
Here I_T is the normalized finite vertical integral and the final term is present only for integer x. The coefficient sum avoids the logarithmic singularity at n=x.↔ Scroll wide equations horizontally.

Residues do not replace the other integrals

Suppose the integrand continues meromorphically across a finite rectangle and has no poles on its boundary. Apply the residue theorem with the right side oriented upward. The right vertical integral equals the left vertical integral, also written upward, plus the enclosed residues and the appropriately oriented horizontal contributions. A pole of FF can produce a main term, and the extra factor 1/s1/s can create a pole at zero even if the original function is regular there. Enumerate both kinds before estimating the remaining sides.

For F=ζF=\zeta, crossing one contributes xx, and crossing zero contributes ζ(0)=−1/2\zeta(0)=-1/2. For F=−ζ′/ζF=-\zeta'/\zeta, crossing zeta zeros instead contributes the negative zero terms of the explicit formula. Heights must avoid poles, and bounds for the logarithmic derivative near zeros require care. A complete argument keeps finite rectangles until it has controlled horizontal pieces, the new vertical line, and the original truncation error. Meromorphic continuation alone supplies no growth estimate strong enough to dismiss all of them.

Count constant coefficients at and between integers

Apply Perron inversion to the zeta series at endpoints three and three point two, then inspect the finite kernel exactly at its jump.

  1. The coefficients of ζ(s)\zeta(s) are all one. At endpoint three, the primed sum is 1+1+1/2=5/21+1+1/2=5/2, because the third coefficient is at the jump. The ordinary full count is three, a different endpoint convention.

  2. At endpoint 3.23.2, exactly the indices one, two, and three lie below the endpoint, so the limit is three with no half-weighted term. This agrees with the floor function away from integers.

  3. For the individual kernel at y=1y=1, choose c=2c=2 and T=2T=2. Then KT(1)=arctan⁡(1)/π=1/4K_T(1)=\arctan(1)/\pi=1/4, rather than its limiting value one half. This finite-height calculation concerns one kernel, not the full zeta integral by itself.

The result

Perron inversion returns two and a half at the integer three and three at endpoint three point two; finite-height kernels still have truncation error.

Explore the model

Interactive lab

Interactive lab · spectral

A finite cutoff is not an exact inverse

Pause/Reset and set mode count 1 and decay 1. At time zero inspect the value 1 at pi/2. For a fresh comparison Pause/Reset and set both mode count 3 and decay 1; predict 1 minus 1/3, or 2/3, at that position. The added even mode vanishes there.

A finite cutoff is not an exact inverseA finite sum of sin(nx − t)/nᵖ. Playback changes t; increasing the cutoff includes finer spatial scales. This is not a proof about a continuum limit or renormalization. Current readings: Sum at x = π/2: 0.867; Smallest wavelength: 2π / 5; Highest-mode coefficient: 0.2. All parameters are adjustable with the labeled controls below.01.573.144.716.28−2.56−1.2801.282.56x · radiansFinite sine sum
Finite sumHighest included mode
Sum at x = π/2
0.867
Smallest wavelength
2π / 5
Highest-mode coefficient
0.2
t = 0 s

A finite sum of sin(nx − t)/nᵖ. Playback changes t; increasing the cutoff includes finer spatial scales. This is not a proof about a continuum limit or renormalization. Parameter changes pause playback and recompute the model at the current elapsed time. Reset restores both parameters and returns time to zero. Playback starts paused. Adjust either parameter, then choose Play or Step.

Look forFinite oscillatory inversions change when their cutoff changes, even with fixed coefficients. This sine sum is an analogy for truncation; it is not the Perron kernel or a numerical contour integral.

Check your understanding

For constant coefficients equal to one, what does the symmetric Perron limit return at endpoint four?

Try it yourself

Take F(s)=1F(s)=1, so only the coefficient at index one is nonzero. Evaluate the symmetric Perron limit at endpoints 22, 11, and 1/21/2, and explain why a residue argument must change its closing direction.

Take a moment to make a prediction or work it out on paper. Open a hint when you need one.

Give me a hint

There is only one kernel, with y equal to the endpoint. Its behavior depends on the sign of the logarithm of y.

Compare with the solution

The three limits are respectively 11, 1/21/2, and 00. For endpoint above one, xsx^s decays as the real part moves left, and a contour closed left encloses the pole at zero. Below one, it decays to the right, where there is no pole. At endpoint one neither direction supplies exponential decay, and symmetric integration yields the half value directly. Closing in a direction without decay would fail to justify discarding the added contour pieces.

Take it with you

  • Symmetric Perron inversion assigns half weight at an integer endpoint.
  • Finite-height errors are largest near the threshold and must be bounded coefficientwise or arithmetically.
  • Contour shifting requires pole avoidance and estimates on all remaining sides.

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