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Zariski topology

Zariski topology 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 Zariski topology rather than just read about it. In short: In algebraic geometry and commutative algebra, the Zariski topology is a topology defined on geometric objects called varieties. It is very different from topologies that are commonly used in real or complex analysis; in particular, it is not Hausdorff.

Zariski topology — main illustration
Zariski topology — illustration

Key takeaways

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

Reference excerpt

In algebraic geometry and commutative algebra, the Zariski topology is a topology defined on geometric objects called varieties. It is very different from topologies that are commonly used in real or complex analysis; in particular, it is not Hausdorff. This topology was introduced primarily by Oscar Zariski and later generalized for making the set of prime ideals of a commutative ring (called the spectrum of the ring) a topological space. The Zariski topology allows tools from topology to be used to study algebraic varieties, even when the underlying field is not a topological field. This is one of the basic ideas of scheme theory, which allows one to build general algebraic varieties by gluing together affine varieties in a way similar to that in manifold theory, where manifolds are built by gluing together charts, which are open subsets of real affine spaces. The Zariski topology of an algebraic variety is the topology whose closed sets are the algebraic subsets of the variety. In the case of an algebraic variety over the complex numbers, the Zariski topology is thus coarser than the usual topology, as every algebraic set is closed for the usual topology. The generalization of the Zariski topology to the set of prime ideals of a commutative ring follows from Hilbert's Nullstellensatz, that establishes a bijective correspondence between the points of an affine variety defined over an algebraically closed field and the maximal ideals of the ring of its regular functions. This suggests defining the Zariski topology on the set of the maximal ideals of a commutative ring as the topology such that a set of maximal ideals is closed if and only if it is the set of all maximal ideals that contain a given ideal. Another basic idea of Grothendieck's scheme theory is to consider as points, not only the usual points corresponding to maximal ideals, but also all (irreducible) algebraic varieties, which correspond to prime ideals. Thus the Zariski topology on the set of prime ideals (spectrum) of a commutative ring is the topology such that a set of prime ideals is closed if and only if it is the set of all prime ideals that contain a fixed ideal.

Zariski topology of varieties In classical algebraic geometry (that is, the part of algebraic geometry in which one does not use schemes, which were introduced by Grothendieck around 1960), the Zariski topology is defined on algebraic varieties. The Zariski topology, defined on the points of the variety, is the topology such that the closed sets are the algebraic subsets of the variety. As the most elementary algebraic varieties are affine and projective varieties, it is useful to make this definition more explicit in both cases. We assume that we are working over a fixed, algebraically closed field k (in classical algebraic geometry, k is usually the field of complex numbers).

Affine varieties First, we define the topology on the affine space A n {\displaystyle \mathbb {A} ^{n}} , formed by the n {\displaystyle n} -tuples of elements of k {\displaystyle k} . The topology is defined by specifying its closed sets, rather than its open sets, and these are taken simply to be all the algebraic sets in A n {\displaystyle \mathbb {A} ^{n}} . That is, the closed sets are those of the form

V ( S ) = { x ∈ A n ∣ f ( x ) = 0 , ∀ f ∈ S } {\displaystyle V(S)=\{x\in \mathbb {A} ^{n}\mid f(x)=0,\quad \forall f\in S\}}

where S {\displaystyle S} is any set of polynomials in n {\displaystyle n} variables over k {\displaystyle k} . It is a straightforward verification to show that:

V ( S ) = V ( ( S ) ) {\displaystyle V(S)=V((S))} , where ( S ) {\displaystyle (S)} is the ideal generated by the elements of S {\displaystyle S} ; For any two ideals of polynomials I , J {\displaystyle I,J} , we have

V ( I ) ∪ V ( J ) = V ( I J ) ; {\displaystyle V(I)\cup V(J)=V(IJ);}

V ( I ) ∩ V ( J ) = V ( I + J ) . {\displaystyle V(I)\cap V(J)=V(I+J).}

… excerpt ends here. Continue reading the full article.

Illustrations

Zariski topology: In the Zariski topology on the affine plane, this graph of a polynomial is closed.
In the Zariski topology on the affine plane, this graph of a polynomial is closed.
Zariski topology: The spectrum of integers
The spectrum of integers

Worked examples

Example 1 — a first encounter with Zariski topology

Start with the simplest possible case. Write down what Zariski topology 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 Zariski topology 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 Zariski topology 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 Zariski topology

In research
Zariski topology 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 Zariski topology 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
Zariski topology is common in secondary-school and first-year university syllabi. It links to neighbouring topics Algebraic varieties, General topology, Scheme theory, so understanding it makes those chapters shorter.
In everyday life
Look for Zariski topology 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 Zariski topology in 20 minutes

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

Frequently asked questions

What is Zariski topology in simple terms?

In algebraic geometry and commutative algebra, the Zariski topology is a topology defined on geometric objects called varieties. It is very different from topologies that are commonly used in real or complex analysis; in particular, it is not Hausdorff.

Why does Zariski topology 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 Zariski topology?

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 Zariski topology.

Tags

  • Algebraic varieties
  • General topology
  • Scheme theory

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