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Thin set (Serre)

Thin set (Serre) 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 Thin set (Serre) rather than just read about it. In short: In mathematics, a thin set in the sense of Serre, named after Jean-Pierre Serre, is a certain kind of subset constructed in algebraic geometry over a given field K, by allowed operations that are in a definite sense 'unlikely'. The two fundamental ones are: solving a polynomial equation that may or may not be the case; solving within K a polynomial that does not always factorise.

Key takeaways

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

Reference excerpt

In mathematics, a thin set in the sense of Serre, named after Jean-Pierre Serre, is a certain kind of subset constructed in algebraic geometry over a given field K, by allowed operations that are in a definite sense 'unlikely'. The two fundamental ones are: solving a polynomial equation that may or may not be the case; solving within K a polynomial that does not always factorise. One is also allowed to take finite unions.

Formulation More precisely, let V be an algebraic variety over K (assumptions here are: V is an irreducible set, a quasi-projective variety, and K has characteristic zero). A type I thin set is a subset of V(K) that is not Zariski-dense. That means it lies in an algebraic set that is a finite union of algebraic varieties of dimension lower than d, the dimension of V. A type II thin set is an image of an algebraic morphism (essentially a polynomial mapping) φ, applied to the K-points of some other d-dimensional algebraic variety V′, that maps essentially onto V as a ramified covering with degree e > 1. Saying this more technically, a thin set of type II is any subset of

φ(V′(K)) where V′ satisfies the same assumptions as V and φ is generically surjective from the geometer's point of view. At the level of function fields we therefore have

[K(V): K(V′)] = e > 1. While a typical point v of V is φ(u) with u in V′, from v lying in V(K) we can conclude typically only that the coordinates of u come from solving a degree e equation over K. The whole object of the theory of thin sets is then to understand that the solubility in question is a rare event. This reformulates in more geometric terms the classical Hilbert irreducibility theorem. A thin set, in general, is a subset of a finite union of thin sets of types I and II . The terminology thin may be justified by the fact that if A is a thin subset of the line over Q then the number of points of A of height at most H is ≪ H: the number of integral points of height at most H is O ( H 1 / 2 ) {\displaystyle O\left({H^{1/2}}\right)} , and this result is best possible. A result of S. D. Cohen, based on the large sieve method, extends this result, counting points by height function and showing, in a strong sense, that a thin set contains a low proportion of them (this is discussed at length in Serre's Lectures on the Mordell-Weil theorem). Let A be a thin set in affine n-space over Q and let N(H) denote the number of integral points of naive height at most H. Then

N ( H ) = O ( H n − 1 / 2 log ⁡ H ) . {\displaystyle N(H)=O\left({H^{n-1/2}\log H}\right).}

Hilbertian fields A Hilbertian variety V over K is one for which V(K) is not thin: this is a birational invariant of V. A Hilbertian field K is one for which there exists a Hilbertian variety of positive dimension over K: the term was introduced by Lang in 1962. If K is Hilbertian then the projective line over K is Hilbertian, so this may be taken as the definition. The rational number field Q is Hilbertian, because Hilbert's irreducibility theorem has as a corollary that the projective line over Q is Hilbertian: indeed, any algebraic number field is Hilbertian, again by the Hilbert irreducibility theorem. More generally a finite degree extension of a Hilbertian field is Hilbertian and any finitely generated infinite field is Hilbertian. There are several results on the permanence criteria of Hilbertian fields. Notably Hilbertianity is preserved under finite separable extensions and abelian extensions. If N is a Galois extension of a Hilbertian field, then although N need not be Hilbertian itself, Weissauer's results asserts that any proper finite extension of N is Hilbertian. The most general result in this direction is Haran's diamond theorem. A discussion on these results and more appears in Fried-Jarden's Field Arithmetic. Being Hilbertian is at the other end of the scale from being algebraically closed: the complex numbers have all sets thin, for example. They, with the other local fields (real numbers, p-adic numbers) are not Hilbertian.

WWA property The WWA property (weak 'weak approximation', sic) for a variety V over a number field is weak approximation (cf. approximation in algebraic groups), for finite sets of places of K avoiding some given finite set. For example take K = Q: it is required that V(Q) be dense in

Π V(Qp) for all products over finite sets of prime numbers p, not including any of some set {p1, ..., pM} given once and for all. Ekedahl has proved that WWA for V implies V is Hilbertian. In fact Colliot-Thélène conjectures WWA holds for any unirational variety, which is therefore a stronger statement. This conjecture would imply a positive answer to the inverse Galois problem.

References

Fried, Michael D.; Jarden, Moshe (2008). Field arithmetic. Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge. Vol. 11 (3rd revised ed.). Springer-Verlag. ISBN 978-3-540-77269-9. Zbl 1145.12001. Lang, Serge (1997). Survey of Diophantine Geometry. Springer-Verlag. ISBN 3-540-61223-8. Zbl 0869.11051. Serre, Jean-Pierre (1989). Lectures on the Mordell-Weil Theorem. Aspects of Mathematics. Vol. E15. Translated and edited by Martin Brown from notes by Michel Waldschmidt. Braunschweig etc.: Friedr. Vieweg & Sohn. Zbl 0676.14005. Serre, Jean-Pierre (1992). Topics in Galois Theory. Research Notes in Mathematics. Vol. 1. Jones and Bartlett. ISBN 0-86720-210-6. Zbl 0746.12001. Schinzel, Andrzej (2000). Polynomials with special regard to reducibility. Encyclopedia of Mathematics and Its Applications. Vol. 77. Cambridge: Cambridge University Press. ISBN 0-521-66225-7. Zbl 0956.12001.

Worked examples

Example 1 — a first encounter with Thin set (Serre)

Start with the simplest possible case. Write down what Thin set (Serre) 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 Thin set (Serre) 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 Thin set (Serre) 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 Thin set (Serre)

In research
Thin set (Serre) 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 Thin set (Serre) 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
Thin set (Serre) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Diophantine geometry, Field theory, so understanding it makes those chapters shorter.
In everyday life
Look for Thin set (Serre) 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 Thin set (Serre) in 20 minutes

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

Frequently asked questions

What is Thin set (Serre) in simple terms?

In mathematics, a thin set in the sense of Serre, named after Jean-Pierre Serre, is a certain kind of subset constructed in algebraic geometry over a given field K, by allowed operations that are in a definite sense 'unlikely'. The two fundamental ones are: solving a polynomial equation that may or…

Why does Thin set (Serre) 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 Thin set (Serre)?

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 Thin set (Serre).

Tags

  • Diophantine geometry
  • Field theory

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