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Rigid analytic space

Rigid analytic space 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 Rigid analytic space rather than just read about it. In short: In mathematics, a rigid analytic space is an analogue of a complex analytic space over a nonarchimedean field. Such spaces were introduced by John Tate in 1962, as an outgrowth of his work on uniformizing p-adic elliptic curves with bad reduction using the multiplicative group.

Key takeaways

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

Reference excerpt

In mathematics, a rigid analytic space is an analogue of a complex analytic space over a nonarchimedean field. Such spaces were introduced by John Tate in 1962, as an outgrowth of his work on uniformizing p-adic elliptic curves with bad reduction using the multiplicative group. In contrast to the classical theory of p-adic analytic manifolds, rigid analytic spaces admit meaningful notions of analytic continuation and connectedness.

Definitions The basic rigid analytic object is the n-dimensional unit polydisc, whose ring of functions is the Tate algebra T n {\displaystyle T_{n}} , made of power series in n variables whose coefficients approach zero in some complete nonarchimedean field k. The Tate algebra is the completion of the polynomial ring in n variables under the Gauss norm (taking the supremum of coefficients), and the polydisc plays a role analogous to that of affine n-space in algebraic geometry. Points on the polydisc are defined to be maximal ideals in the Tate algebra, and if k is algebraically closed, these correspond to points in k n {\displaystyle k^{n}} whose coordinates have norm at most one. An affinoid algebra is a k-Banach algebra that is isomorphic to a quotient of the Tate algebra by an ideal. An affinoid is then the subset of the unit polydisc on which the elements of this ideal vanish, i.e., it is the set of maximal ideals containing the ideal in question. The topology on affinoids is subtle, using notions of affinoid subdomains (which satisfy a universality property with respect to maps of affinoid algebras) and admissible open sets (which satisfy a finiteness condition for covers by affinoid subdomains). In fact, the admissible opens in an affinoid do not in general endow it with the structure of a topological space, but they do form a Grothendieck topology (called the G-topology), and this allows one to define good notions of sheaves and gluing of spaces. A rigid analytic space over k is a pair ( X , O X ) {\displaystyle (X,{\mathcal {O}}_{X})} describing a locally ringed G-topologized space with a sheaf of k-algebras, such that there is a covering by open subspaces isomorphic to affinoids. This is analogous to the notion of manifolds being coverable by open subsets isomorphic to euclidean space, or schemes being coverable by affines. Schemes over k can be analytified functorially, much like varieties over the complex numbers can be viewed as complex analytic spaces, and there is an analogous formal GAGA theorem. The analytification functor respects finite limits.

Other formulations

Around 1970, Michel Raynaud provided an interpretation of certain rigid analytic spaces as formal models, i.e., as generic fibers of formal schemes over the valuation ring R of k. In particular, he showed that the category of quasi-compact quasi-separated rigid spaces over k is equivalent to the localization of the category of quasi-compact admissible formal schemes over R with respect to admissible formal blow-ups. Here, a formal scheme is admissible if it is coverable by formal spectra of topologically finitely presented R-algebras whose local rings are R-flat. Formal models suffer from a problem of uniqueness, since blow-ups allow more than one formal scheme to describe the same rigid space. Huber worked out a theory of adic spaces to resolve this, by taking a limit over all blow-ups. These spaces are quasi-compact, quasi-separated, and functorial in the rigid space, but lack a lot of nice topological properties. Vladimir Berkovich reformulated much of the theory of rigid analytic spaces in the late 1980s, using a generalization of the notion of Gelfand spectrum for commutative unital C*-algebras. The Berkovich spectrum of a Banach k-algebra A is the set of multiplicative semi-norms on A that are bounded with respect to the given norm on k, and it has a topology induced by evaluating these semi-norms on elements of A. Since the topology is pulled back from the real line, Berkovich spectra have many nice properties, such as compactness, path-connectedness, and metrizability. Many ring-theoretic properties are reflected in the topology of spectra, e.g., if A is Dedekind, then its spectrum is contractible. However, even very basic spaces tend to be unwieldy – the projective line over Cp is a compactification of the inductive limit of affine Bruhat–Tits buildings for PGL2(F), as F varies over finite extensions of Qp, when the buildings are given a suitably coarse topology.

See also Rigid cohomology

References Non-Archimedean analysis by S. Bosch, U. Güntzer, R. Remmert ISBN 3-540-12546-9 Brian Conrad Several approaches to non-archimedean geometry lecture notes from the Arizona Winter School Rigid Analytic Geometry and Its Applications (Progress in Mathematics) by Jean Fresnel, Marius van der Put ISBN 0-8176-4206-4 Houzel, Christian (1995) [1966], Espaces analytiques rigides (d'après R. Kiehl), Séminaire Bourbaki, Exp. No. 327, vol. 10, Paris: Société Mathématique de France, pp. 215–235, MR 1610409 Tate, John (1971) [1962], "Rigid analytic spaces", Inventiones Mathematicae, 12 (4): 257–289, Bibcode:1971InMat..12..257T, doi:10.1007/BF01403307, ISSN 0020-9910, MR 0306196, S2CID 121364708 Éléments de Géométrie Rigide. Volume I. Construction et étude géométrique des espaces rigides (Progress in Mathematics 286) by Ahmed Abbes, ISBN 978-3-0348-0011-2 Michel Raynaud, Géométrie analytique rigide d’après Tate, Kiehl,. . . Table ronde d’analyse non archimidienne, Bull. Soc. Math. Fr. Mém. 39/40 (1974), 319-327.

External links "Rigid analytic space", Encyclopedia of Mathematics, EMS Press, 2001 [1994]

Worked examples

Example 1 — a first encounter with Rigid analytic space

Start with the simplest possible case. Write down what Rigid analytic space 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 Rigid analytic space 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 Rigid analytic space 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 Rigid analytic space

In research
Rigid analytic space 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 Rigid analytic space 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
Rigid analytic space is common in secondary-school and first-year university syllabi. It links to neighbouring topics Algebraic number theory, so understanding it makes those chapters shorter.
In everyday life
Look for Rigid analytic space 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 Rigid analytic space in 20 minutes

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

Frequently asked questions

What is Rigid analytic space in simple terms?

In mathematics, a rigid analytic space is an analogue of a complex analytic space over a nonarchimedean field. Such spaces were introduced by John Tate in 1962, as an outgrowth of his work on uniformizing p-adic elliptic curves with bad reduction using the multiplicative group.

Why does Rigid analytic space 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 Rigid analytic space?

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 Rigid analytic space.

Tags

  • Algebraic number theory

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