Affine Algebraic Sets - General Question

In summary, the conversation discussed the basics of elementary algebraic geometry, particularly affine algebraic sets. It was mentioned that an arbitrary subset of affine space can be defined by algebraic equations, making it an algebraic variety. It was also noted that a proper algebraic subset of affine n space has a finite number of irreducible components, and each component has a dimension less than n. The conversation also touched on the classification of algebraic varieties and how they can be studied by means of the Jacobian variety of line bundles.
  • #1
Math Amateur
Gold Member
MHB
3,998
48
I am trying to gain an understanding of the basics of elementary algebraic geometry and am reading Dummit and Foote Chapter 15: Commutative Rings and Algebraic Geometry ...

At present I am focused on Section 15.1 Noetherian Rings and Affine Algebraic Sets ... ...

I am trying to gain a full understanding of the nature of affine algebraic sets ...

If we take an arbitrary subset A of affine space ##\mathbb{A}^n## ... how can we determine whether A is an affine algebraic set ... ?

Are they any methodical approaches ... ?

Do we just have to creatively come up with a polynomial or set of polynomials whose set of zeros equals A?

Any clarifying comments are welcome ...

Peter
 
Physics news on Phys.org
  • #2
An arbitrary subset of ##\mathbb{A}^n## isn't much of information. This could be literally everything. So to start with you have to have some definition of it. In general it is the other way round: Given such a set, i.e. defined by any algebraic equations, it's an algebraic variety, an affine or projective algebraic set. This leaves really many examples: all curves, hyperspaces and so on. Even such things like for instance linear algorithms are algebraic varieties because they are defined by algebraic equations.

The ring of polynomials which don't vanish on such a set is also called coordinate ring, i.e. the quotient ##k[V] = k[X_1, \dots ,X_n] / \mathfrak{I}(V)##. It helps to do calculations on it.
For an overview of the matter you might read these Wiki articles:

https://en.wikipedia.org/wiki/Algebraic_variety
https://en.wikipedia.org/wiki/Sheaf_(mathematics)

So to answer your question one has to ask: How do you describe an arbitrary subset of an affine space?
(This is absolutely necessary in order to decide which properties it has or has not.)

By the way: if you have inequalities, e.g. ##xy \neq 0##, you get dense open subsets (which are not affine algebraic sets of course).
 
Last edited:
  • Like
Likes Math Amateur
  • #3
algebraic subsets are very special, so almost any "arbitrary" subset is not algebraic. for one thing, a proper algebraic subset of affine n space has a finite number of irreducible components, and each of them has dimension less than n. so an open ball is not algebraic, nor is any proper subset that contains a non empty open ball. also they have finiteness properties, so an infinite sequence of distinct points is not algebraic, and neither is an infinite sequence of distinct lines. assuming we are over say the complex numbers. Moreover each individual component of an algebraic set has a fixed dimension that is visible at every point of it. thus in affine 3 space, an algebraic set consists of a finite number of points, a finite number of irreducible curves, and a finite number of irreducible surfaces. oh yes, and over the complex numbers say, a positive dimensional affine algebraic set is unbounded, it cannot be say a finite line segment. this boundedness of course is not true over the reals, since the unit circle and the unit sphere are algebraic over R.

Over any field k, the coefficient ring R of an irreducible affine algebraic set V is a finite extension of a polynomial ring, i.e. R is a module finite extension of a ring of form k{X1,...,Xr], where r is the dimension of the algebraic set, (see noether normalization, DF, p.699). When k is algebraically closed, this implies that the algebraic set V is a finite cover of affine r space via projection. So every irreducible curve in this setting is a finite cover of the affine line, every irreducible surface is a finite cover of the affine plane, etc... In particular this shows the unboundedness in that case.

In simple cases one can also try to list all algebraic sets. In the plane, over an algebraically closed field k say, to list curves we can proceed by degree. all degree one sets are lines. all degree two sets are classified up to isomorphism by rank, either a double line (rank 1), two distinct lines (rank 2), or a smooth conic (rank 3). In degree three we can prove, up to isomorphism, they are either three lines, or a line and a conic, or if irreducible they have the very special form y^2 = x(x-1)(x-c), in some choice of coordinates. after that it gets harder.

edit: oops, those last special ones are only the "non singular" cubics, (and some "nodal" cubics when c= 0 or 1). there are also "cuspidal" cubics such as y^2 = x^3. that may be all.

it is traditional , after riemann, to try rather to classify algebraic varieties up to abstract isomorphism, and then for each abstract variety to try to classify all ways it can be embedded in (not affine but) projective space. for irreducible curves the basic classification is by the genus, and for each curve of a given genus, one studies its projective models by means of the "Jacobian" variety of line bundles, which correspond to projective mappings of the curve to projective space. riemann knew the space of all irreducible non singular curves of fixed genus g > 1, can itself be given the structure of a variety of dimension 3g-3. In genus one, all curves have the special form of the irreducible plane cubics given above, so they form a one dimensional family, with the constant c as (almost) a parameter.
 
Last edited:
  • Like
Likes Math Amateur
  • #4
Hi fresh_42, mathwonk,

Firstly ... so sorry for late reply ... had a bad case of the flu ... indeed still not fully recovered ...

However, I managed to read both of your posts at least twice ... and as a result have a better understanding and appreciation of the nature and character of affine algebraic sets ...

Thanks for your help in this ... really appreciate your help in my getting an understanding of the basics of elementary algebraic geometry ... from skimming some books, it looks like a fascinating subject ...

Thanks again,

Peter
 

FAQ: Affine Algebraic Sets - General Question

What is an affine algebraic set?

An affine algebraic set is a set of points in n-dimensional space that satisfies a set of polynomial equations. It can also be defined as the common zero set of a collection of polynomials in n variables.

How are affine algebraic sets related to linear algebra?

Affine algebraic sets are closely related to linear algebra as they involve the study of systems of polynomial equations. In fact, affine algebraic sets can be thought of as the solution sets to systems of linear equations in n variables.

What is the difference between affine algebraic sets and projective algebraic sets?

The main difference between affine algebraic sets and projective algebraic sets is the dimension of the space in which they are defined. Affine algebraic sets are defined in n-dimensional space, while projective algebraic sets are defined in n+1-dimensional projective space. Additionally, projective algebraic sets include points at infinity, while affine algebraic sets do not.

How are affine algebraic sets used in real-world applications?

Affine algebraic sets have various applications in fields such as geometry, computer science, and physics. They are used in computer graphics to create 3D models, in robotics to determine the position of objects, and in economics to study market equilibria, among other things.

Can affine algebraic sets be solved analytically?

In general, affine algebraic sets cannot be solved analytically. This is because they involve systems of polynomial equations, which do not have a general formula for their solutions. However, for certain special cases, such as when the number of variables is small, analytical solutions may be possible.

Back
Top