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Voronoi formula

Voronoi 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 Voronoi formula rather than just read about it. In short: In mathematics, a Voronoi formula is an equality involving Fourier coefficients of automorphic forms, with the coefficients twisted by additive characters on either side. It can be regarded as a Poisson summation formula for non-abelian groups.

Key takeaways

  • Voronoi 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 Voronoi formula to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Voronoi formula from memory before moving on to harder problems.

Reference excerpt

In mathematics, a Voronoi formula is an equality involving Fourier coefficients of automorphic forms, with the coefficients twisted by additive characters on either side. It can be regarded as a Poisson summation formula for non-abelian groups. The Voronoi (summation) formula for GL(2) has long been a standard tool for studying analytic properties of automorphic forms and their L-functions. There have been numerous results coming out the Voronoi formula on GL(2). The concept is named after Georgy Voronoy.

Classical application To Voronoy and his contemporaries, the formula appeared tailor-made to evaluate certain finite sums. That seemed significant because several important questions in number theory involve finite sums of arithmetic quantities. In this connection, let us mention two classical examples, Dirichlet's divisor problem and the Gauss circle problem. The former estimates the size of d(n), the number of positive divisors of an integer n. Dirichlet proved

D ( X ) = ∑ n = 1 X d ( n ) − X log ⁡ X − ( 2 γ − 1 ) X = O ( X 1 / 2 ) {\displaystyle D(X)=\sum _{n=1}^{X}d(n)-X\log X-(2\gamma -1)X=O(X^{1/2})}

where γ {\displaystyle \gamma } is Euler's constant ≈ 0.57721566. Gauss’ circle problem concerns the average size of

r 2 ( n ) = # { ( x , y ) ∈ Z 2 ∣ x 2 + y 2 = n } , {\displaystyle r_{2}(n)=\#\{(x,y)\in \mathbb {Z} ^{2}\mid x^{2}+y^{2}=n\},}

for which Gauss gave the estimate

Δ ( X ) = ∑ n = 1 X r 2 ( n ) − π X = O ( X 1 / 2 ) . {\displaystyle \Delta (X)=\sum _{n=1}^{X}r_{2}(n)-\pi X=O(X^{1/2}).}

Each problem has a geometric interpretation, with D(X) counting lattice points in the region { x , y > 0 , x y ≤ X } {\displaystyle \{x,y>0,xy\leq X\}} , and Δ ( X ) {\displaystyle \Delta (X)} lattice points in the disc { x 2 + y 2 ≤ X } {\displaystyle \{x^{2}+y^{2}\leq X\}} . These two bounds are related, as we shall see, and come from fairly elementary considerations. In the series of papers Voronoy developed geometric and analytic methods to improve both Dirichlet’s and Gauss’ bound. Most importantly in retrospect, he generalized the formula by allowing weighted sums, at the expense of introducing more general integral operations on f than the Fourier transform.

Modern formulation Let ƒ be a Maass cusp form for the modular group PSL(2,Z) and a(n) its Fourier coefficients. Let a,c be integers with (a,c) = 1. Let ω be a well-behaved test function. The Voronoi formula for ƒ states

∑ n a ( n ) e ( a n / c ) ω ( n ) = ∑ n a ( n ) e ( − a ¯ n / c ) Ω ( n ) , {\displaystyle \sum _{n}a(n)e(an/c)\omega (n)=\sum _{n}a(n)e(-{\bar {a}}n/c)\Omega (n),}

where a ¯ {\displaystyle {\bar {a}}} is a multiplicative inverse of a modulo c and Ω is a certain integral Hankel transform of ω. (see Good (1984))

References Good, Anton (1984), "Cusp forms and eigenfunctions of the Laplacian", Mathematische Annalen, 255 (4): 523–548, doi:10.1007/bf01451932 Miller, S. D., & Schmid, W. (2006). Automorphic distributions, L-functions, and Voronoi summation for GL(3). Annals of mathematics, 423–488. Voronoï, G. (1904). Sur une fonction transcendente et ses applications à la sommation de quelques séries. In Annales Scientifiques de l'École Normale Supérieure (Vol. 21, pp. 207–267).

Worked examples

Example 1 — a first encounter with Voronoi formula

Start with the simplest possible case. Write down what Voronoi 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 Voronoi 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 Voronoi 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 Voronoi formula

In research
Voronoi 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 Voronoi 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
Voronoi formula is common in secondary-school and first-year university syllabi. It links to neighbouring topics Analytic number theory, Automorphic forms, so understanding it makes those chapters shorter.
In everyday life
Look for Voronoi 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.
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How to study Voronoi formula in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Voronoi 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 Voronoi formula out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Voronoi formula in simple terms?

In mathematics, a Voronoi formula is an equality involving Fourier coefficients of automorphic forms, with the coefficients twisted by additive characters on either side. It can be regarded as a Poisson summation formula for non-abelian groups.

Why does Voronoi 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 Voronoi 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 Voronoi formula.

Tags

  • Analytic number theory
  • Automorphic forms

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