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Selberg sieve

Selberg sieve is a science 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 Selberg sieve rather than just read about it. In short: In number theory, the Selberg sieve is a technique for estimating the size of "sifted sets" of positive integers which satisfy a set of conditions which are expressed by congruences. It was developed by Atle Selberg in the 1940s.

Selberg sieve — main illustration
Selberg sieve — illustration

Key takeaways

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

Reference excerpt

In number theory, the Selberg sieve is a technique for estimating the size of "sifted sets" of positive integers which satisfy a set of conditions which are expressed by congruences. It was developed by Atle Selberg in the 1940s.

Description In terms of sieve theory the Selberg sieve is of combinatorial type: that is, derives from a careful use of the inclusion–exclusion principle. Selberg replaced the values of the Möbius function which arise in this by a system of weights which are then optimised to fit the given problem. The result gives an upper bound for the size of the sifted set. Let A {\displaystyle A} be a set of positive integers ≤ x {\displaystyle \leq x} and let P {\displaystyle P} be a set of primes. Let A d {\displaystyle A_{d}} denote the set of elements of A {\displaystyle A} divisible by d {\displaystyle d} when d {\displaystyle d} is a product of distinct primes from P {\displaystyle P} . Further let A 1 {\displaystyle A_{1}} denote A {\displaystyle A} itself. Let z {\displaystyle z} be a positive real number and P ( z ) {\displaystyle P(z)} denote the product of the primes in P {\displaystyle P} which are ≤ z {\displaystyle \leq z} . The object of the sieve is to estimate

S ( A , P , z ) = | A ∖ ⋃ p ∣ P ( z ) A p | . {\displaystyle S(A,P,z)=\left\vert A\setminus \bigcup _{p\mid P(z)}A_{p}\right\vert .}

We assume that |Ad| may be estimated by

| A d | = 1 f ( d ) X + R d . {\displaystyle \left\vert A_{d}\right\vert ={\frac {1}{f(d)}}X+R_{d}.}

where f is a multiplicative function and X = |A|. Let the function g be obtained from f by Möbius inversion, that is

g ( n ) = ∑ d ∣ n μ ( d ) f ( n / d ) {\displaystyle g(n)=\sum _{d\mid n}\mu (d)f(n/d)}

f ( n ) = ∑ d ∣ n g ( d ) {\displaystyle f(n)=\sum _{d\mid n}g(d)}

where μ is the Möbius function. Put

V ( z ) = ∑ d < z d ∣ P ( z ) 1 g ( d ) . {\displaystyle V(z)=\sum _{\begin{smallmatrix}d<z\\d\mid P(z)\end{smallmatrix}}{\frac {1}{g(d)}}.}

Then

… excerpt ends here. Continue reading the full article.

Illustrations

Selberg sieve: Atle Selberg
Atle Selberg

Worked examples

Example 1 — a first encounter with Selberg sieve

Start with the simplest possible case. Write down what Selberg sieve claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Selberg sieve 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 Selberg sieve 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 Selberg sieve

In research
Selberg sieve appears in science 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 Selberg sieve 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
Selberg sieve is common in secondary-school and first-year university syllabi. It links to neighbouring topics Sieve theory, so understanding it makes those chapters shorter.
In everyday life
Look for Selberg sieve 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 Selberg sieve in 20 minutes

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

Frequently asked questions

What is Selberg sieve in simple terms?

In number theory, the Selberg sieve is a technique for estimating the size of "sifted sets" of positive integers which satisfy a set of conditions which are expressed by congruences. It was developed by Atle Selberg in the 1940s.

Why does Selberg sieve matter?

Because it connects several science 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 Selberg sieve?

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 Selberg sieve.

Tags

  • Sieve theory

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