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Lecture notes on affine varieties with examples and Zariski topology by Luis David Garcia Puente.
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Outline:
The richness of algebraic geometry as a mathematical discipline comes from the interplay of algebra and geometry, as its basic objects are both geometrical and algebraic. The vivid intuition of geometry is expressed with precision via the language of algebra. Symbolic and numeric manipulation of algebraic objects give practical tools for applications. Let F be a field, which for us will be either the complex numbers C, the real numbers R, or the rational numbers Q. These different fields have their individual strengths and weaknesses. The complex numbers are algebraically closed; every univariate polnomial
has a complex root. Algebraic geometry works best when using an algebraically closed field, and most introductory texts restrict themselves to the complex numbers. However, quite often real number answers are needed, particularly in applications. Because of this, we will often consider real varieties and work over R. Symbolic computation provides many useful tools for algebraic geometry, but it requires a field such as Q, which can be represented on a computer. The set of all n-tuples (a 1 ,... , an) of numbers in F is called affine n-space and written An^ or An F when we want to indicate our field. We write An^ rather than Fn^ to emphasize that we are not doing linear algebra. Let x 1 ,... , xn be variables, which we regard as coordinate functions on An^ and write F[x 1 ,... , xn] for the ring of polynomials in the variables x 1 ,... , xn with coefficients in the field F. We may evaluate a polynomial f ∈ F[x 1 ,... , xn] at a point a ∈ An^ to get a number f (a) ∈ F, and so polynomials are also functions on An. We make the main definition of this book.
Definition. An affine variety is the set of common zeroes of a collection of polynomials. Given a set S ⊂ F[x 1 ,... , xn] of polynomials, the affine variety defined by S is the set
V(S) := {a ∈ An^ | f (a) = 0 for f ∈ S}.
This is a (affine) subvariety of An^ or simple a variety.
If X and Y are varieties with Y ⊂ X, then Y is a subvariety of X. The empty set ∅ = V(1) and affine space itself An^ = V(0) are varieties. Any linear or affine subspace L of An^ is a variety. Indeed, L has an equation Ax = b, where A is a matrix and b is a vector, and so L = V(Ax − b) is defined by the linear polynomials which form the rows of Ax − b. An important special case of this is when L = {a} is a point of An. Writing a = (a 1 ,... , an), then L is defined by the equations xi − ai = 0 for i = 1,... , n. Any finite subset Z ⊂ A^1 is a variety as Z = V(f ), where
f :=
z∈Z
(x − z)
is the monic polynomial with simple zeroes in Z. A non-constant polynomial p(x, y) in the variables x and y defines a plane curve V(p) ⊂ A^2. Here are the plane cubic curves V(p + 201 ), V(p), and V(p − 201 ), where p(x, y) := y^2 − x^3 − x^2.
x
y
z
x
y
z
Figure 1.2: Intersection of two quadrics.
right below.
The product V × W of two varieties V and W is again a variety. Suppose that V ⊂ An is defined by the polynomials f 1 ,... , fs ∈ F[x 1 ,... , xn] and the variety W ⊂ Am^ is defined by the polynomials g 1 ,... , gt ∈ F[y 1 ,... , ym]. Then X × Y ⊂ An^ × Am^ = An+m^ is defined by the polynomials f 1 ,... , fs, g 1 ,... , gt ∈ F[x 1 ,... , xn, y 1 ,... , ym].
The set Matn×n or Matn×n(F) of n × n matrices with entries in F is identified with the affine space An 2
. The special linear group is the set of matrices with determinant 1,
SLn := {M ∈ Matn×n | det M = 1} = V(det −1).
We will show that SLn is smooth, irreducible, and has dimension n^2 − 1. (We must first, of course, define these notions.)
We also point out some subsets of An^ which are not varieties. The set Z of integers is not a variety. The only polynomial vanishing at every integer is the zero polynomial, whose variety is all of A^1. The same is true for any other infinite subset of A^1 , for example, the infinite sequence { (^1) n | n = 1, 2 ,... } is not a subvariety of A^1.
Other subsets which are not varieties (for the same reasons) include the unit disc in
R^2 , {(x, y) ∈ R^2 | x^2 + y^2 ≤ 1 } or the complex numbers with positive real part.
x
y
unit disc