ArticleslgStudy

mathematics

Riemann–Siegel formula

Riemann–Siegel formula is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Riemann–Siegel formula rather than just read about it. In short: In mathematics, the Riemann–Siegel formula is an asymptotic formula for the error of the approximate functional equation of the Riemann zeta function, an approximation of the zeta function by a sum of two finite Dirichlet series. It was found by Siegel (1932) in unpublished manuscripts of Bernhard Riemann dating from the 1850s.

Key takeaways

  • Riemann–Siegel formula belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Riemann–Siegel formula to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Riemann–Siegel formula from memory before moving on to harder problems.

Reference excerpt

In mathematics, the Riemann–Siegel formula is an asymptotic formula for the error of the approximate functional equation of the Riemann zeta function, an approximation of the zeta function by a sum of two finite Dirichlet series. It was found by Siegel (1932) in unpublished manuscripts of Bernhard Riemann dating from the 1850s. Siegel derived it from the Riemann–Siegel integral formula, an expression for the zeta function involving contour integrals. It is often used to compute values of the Riemann–Siegel formula, sometimes in combination with the Odlyzko–Schönhage algorithm which speeds it up considerably. When used along the critical line, it is often useful to use it in a form where it becomes a formula for the Z function. If M and N are non-negative integers, then the zeta function is equal to

ζ ( s ) = ∑ n = 1 N n − s + γ ( 1 − s ) ∑ n = 1 M n s − 1 + R ( s ) {\displaystyle \zeta (s)=\sum _{n=1}^{N}n^{-s}+\gamma (1-s)\sum _{n=1}^{M}n^{s-1}+R(s)}

where

γ ( s ) = π 1 2 − s Γ ( s 2 ) Γ ( 1 − s 2 ) {\displaystyle \gamma (s)=\pi ^{{\tfrac {1}{2}}-s}{\frac {\Gamma \left({\tfrac {s}{2}}\right)}{\Gamma \left({\tfrac {1-s}{2}}\right)}}}

is the factor appearing in the functional equation ζ(s) = γ(1 − s) ζ(1 − s), and

R ( s ) = − Γ ( 1 − s ) 2 π i ∫ ( − x ) s − 1 e − N x e x − 1 d x {\displaystyle R(s)=-{\frac {\Gamma (1-s)}{2\pi i}}\int {\frac {(-x)^{s-1}e^{-Nx}}{e^{x}-1}}dx}

is a contour integral whose contour starts and ends at +∞ and circles the singularities of absolute value at most 2πM. The approximate functional equation gives an estimate for the size of the error term. Siegel (1932) and Edwards (1974) derive the Riemann–Siegel formula from this by applying the method of steepest descent to this integral to give an asymptotic expansion for the error term R(s) as a series of negative powers of Im(s). In applications s is usually on the critical line, and the positive integers M and N are chosen to be about (2πIm(s))1/2. Gabcke (1979) found good bounds for the error of the Riemann–Siegel formula.

Riemann's integral formula Riemann showed that

∫ 0 ↘ 1 e − i π u 2 + 2 π i p u e π i u − e − π i u d u = e i π p 2 − e i π p e i π p − e − i π p {\displaystyle \int _{0\,\searrow \,1}{\frac {e^{-i\pi u^{2}+2\pi ipu}}{e^{\pi iu}-e^{-\pi iu}}}\,du={\frac {e^{i\pi p^{2}}-e^{i\pi p}}{e^{i\pi p}-e^{-i\pi p}}}}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Riemann–Siegel formula

Start with the simplest possible case. Write down what Riemann–Siegel formula claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Riemann–Siegel formula before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Riemann–Siegel formula ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Riemann–Siegel formula

In research
Riemann–Siegel formula appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Riemann–Siegel formula in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Riemann–Siegel formula is common in secondary-school and first-year university syllabi. It links to neighbouring topics Bernhard Riemann, Theorems in analytic number theory, Zeta and L-functions, so understanding it makes those chapters shorter.
In everyday life
Look for Riemann–Siegel formula outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Riemann–Siegel formula” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Riemann–Siegel formula in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Riemann–Siegel formula means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Riemann–Siegel formula out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Riemann–Siegel formula in simple terms?

In mathematics, the Riemann–Siegel formula is an asymptotic formula for the error of the approximate functional equation of the Riemann zeta function, an approximation of the zeta function by a sum of two finite Dirichlet series. It was found by Siegel (1932) in unpublished manuscripts of Bernhard…

Why does Riemann–Siegel formula matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Riemann–Siegel formula?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Riemann–Siegel formula.

Tags

  • Bernhard Riemann
  • Theorems in analytic number theory
  • Zeta and L-functions

Keep exploring