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Algebraic Geometery, Lecture Notes- Maths - 4, Study notes of Mathematics

Introduction Dimension Hypersurfaces Principal Divisors

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ALGEBRAIC GEOMETRY - DIMENSION AND DIVISORS
DANIEL LOUGHRAN
1. introduction
A fundamental theme in mathematics is defining objects then classifying
them up to some kind of equivalence.
In algebraic geometry we are interested in when two algebraic sets are
isomorphic (i.e. there exists an isomorphism between them) or the strictly
weaker notion of birational equivalence (i.e. there exists a birational map
between them). Birational equivalence is useful, because we get effectively
get to ignore “bad points”.
Trying to prove two algebraic sets are birationally equivalent is theo-
retically easy, just find a birational map between them. However proving
that two varieties are not birationally equivalent is hard from first princi-
pals, since you have to show an explicit map doesn’t exist. However we get
around this by defining birational invariant properties, that is properties
which are preserved by birational maps.
We have already seen a birational invariant:
Theorem 1.1. Let 𝑘be an algebraically closed field (we make this assump-
tion throughout the lecture). Then two varieties 𝑉and 𝑊are birationally
equivalent if and only if the function fields 𝑘(𝑉)and 𝑘(𝑊)are isomorphic.
Today I will show you another one, namely the dimension of a variety.
This will also be useful in enabling us to begin to classify and define certain
types of algebraic sets.
I shall also define the Divisor class group of a variety which reflects the
geometry of the variety, but this is not a birational invariant.
2. Dimension
The process of defining the dimension of objects in mathematics is gen-
erally a difficult one. Even though dimension is in general an intuitive idea,
you often have to define it in very abstract terms. We want dimension to be
a birational invariant, so the previous theorem shows that it is ok to define
dimension in terms of the function field.
Definition 2.1. Let 𝐿be a field extension of a field 𝐾, i.e. 𝐾𝐿. Then 𝐿
is said to be algebraic over 𝐾if every element of 𝐿is the zero of a polynomial
with coefficients in 𝐾.
Otherwise it is called transcendental.
Example 2.2. [2] over . Note it suffices to only check for the genera-
tors of 𝐿. In this case, we have 2 is a root of 𝑥22.
Definition 2.3. Let 𝑉be a variety with function field 𝑘(𝑉). The dimension
of 𝑉is the largest 𝑚such that 𝑘(𝑉) is algebraic over 𝑘(𝑦1,. . . , 𝑦𝑚).
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ALGEBRAIC GEOMETRY - DIMENSION AND DIVISORS

DANIEL LOUGHRAN

  1. introduction A fundamental theme in mathematics is defining objects then classifying them up to some kind of equivalence. In algebraic geometry we are interested in when two algebraic sets are isomorphic (i.e. there exists an isomorphism between them) or the strictly weaker notion of birational equivalence (i.e. there exists a birational map between them). Birational equivalence is useful, because we get effectively get to ignore “bad points”. Trying to prove two algebraic sets are birationally equivalent is theo- retically easy, just find a birational map between them. However proving that two varieties are not birationally equivalent is hard from first princi- pals, since you have to show an explicit map doesn’t exist. However we get around this by defining birational invariant properties, that is properties which are preserved by birational maps. We have already seen a birational invariant:

Theorem 1.1. Let 푘 be an algebraically closed field (we make this assump- tion throughout the lecture). Then two varieties 푉 and 푊 are birationally equivalent if and only if the function fields 푘(푉 ) and 푘(푊 ) are isomorphic.

Today I will show you another one, namely the dimension of a variety. This will also be useful in enabling us to begin to classify and define certain types of algebraic sets. I shall also define the Divisor class group of a variety which reflects the geometry of the variety, but this is not a birational invariant.

  1. Dimension The process of defining the dimension of objects in mathematics is gen- erally a difficult one. Even though dimension is in general an intuitive idea, you often have to define it in very abstract terms. We want dimension to be a birational invariant, so the previous theorem shows that it is ok to define dimension in terms of the function field.

Definition 2.1. Let 퐿 be a field extension of a field 퐾, i.e. 퐾 ⊂ 퐿. Then 퐿 is said to be algebraic over 퐾 if every element of 퐿 is the zero of a polynomial with coefficients in 퐾. Otherwise it is called transcendental.

Example 2.2. ℚ[

2] over ℚ. Note it suffices to only check for the genera- tors of 퐿. In this case, we have

2 is a root of 푥^2 − 2.

Definition 2.3. Let 푉 be a variety with function field 푘(푉 ). The dimension of 푉 is the largest 푚 such that 푘(푉 ) is algebraic over 푘(푦 1 ,... , 푦푚). 1

More technically, the dimension of 푉 to be the transcendence degree of 푘(푉 ) over k.

Example 2.4. (1) dim 픸푛^ = 푛 since the function field is just 푘(푥 1 ,... , 푥푛). (2) The map 휑 : ℙ푛^ → 픸푛^ given by

휑 : [푥 0 , 푥 1 ,... , 푥푛] 7 →

is a birational map defined on the subset of ℙ푛^ with 푥푛 ∕= 0. Hence ℙ푛^ is birational to 픸푛, so their function fields are isomorphic and so dim ℙ푛^ = 푛. (3) Let 푉 = 푉 (푧^2 −푥^3 −푦^3 ) be an affine variety. Then 푘(푉 ) = 푘(푥, 푦, 푧)/(푧^2 − 푥^3 − 푦^3 ). This is basically just the field 푘(푥, 푦, 푧) in which we declare 푧^2 = 푥^3 + 푦^3. So any function in 푘(푉 ) is of the form 푓 (푥, 푦) + 푧푔(푥, 푦) 푝(푥, 푦) + 푧푞(푥, 푦) where 푓, 푔, 푝, 푞 ∈ 푘[푥, 푦]. So you can think of 푘(푉 ) as 푘(푥, 푦) adjoin- ing an element 푧 whose square is inside 푘(푉 ). So 푘(푉 ) is algebraic over 푘(푥, 푦), hence 푉 has dimension 2. (4) An algebraic set of dimension 1 is called a curve and an algebraic set of dimension 2 is called a surface.

This definition of dimension is part of a theme in algebraic geometry, whereby you want to phrase everything in purely algebraic terms. The reasoning behind this is that you want to try to remove coordinate systems. For example any variety 푉 ⊂ ℙ푛^ can be embedded in ℙ푚^ for any 푚 ≥ 푛. But we want to consider each embedded variety as “the same”, so you can see that it makes more sense to define the properties of algebraic sets independently of their particular embedding.

  1. Hypersurfaces

We shall now briefly outline a very special type of algebraic set that often crops up.

Definition 3.1. An algebraic set in 픸푛^ (resp. ℙ푛) of dimension 푛 − 1 is called a hypersurface.

Theorem 3.2. An algebraic set 푉 is a hypersurface in 픸푛^ (resp. ℙ푛) if and only if it can be given as the zero set of a single polynomial 푓 ∈ 푘[푥 1 ,... , 푥푛] (resp. 푓 ∈ 푘[푥 0 ,... , 푥푛] homogeneous). Moreover, 푉 is a variety if and only if 푓 is irreducible.

Proof. (Of the second part). The ideal generated by a single polynomial 푓 is prime if and only if 푓 is irreducible. □

  1. Weil Divisors From now on we will work with varieties. The divisors we will be working with are normally called Weil Divisors, since there is another (more abstract) notion called Cartier Divisors. However in the cases where both are defined they generally coincide.

Proof. In 픸푛^ the prime divisors are exactly the hypersurfaces. So let

X^ 푑

푖=

be a divisor of 픸푛^ where the 퐻푖 have defining equations 푓푖 ∈ 푘[푥 1 ,... , 푥푛]. Define a function 푓 =

Y

푖=

푓푖푛푖^ ∈ 푘(푥 1 ,... , 푥푛).

Then 푓 has a zero at 퐻푖 with multiplicity 푛푖, so clearly Div(푓 ) = 퐷. □

Lemma 5.5. Let PDiv(푉 ) denote the set of principal divisors of 푉. Then PDiv(푉 ) is a normal subgroup of Div(푉 ).

Proof. Let 푃 be a prime divisor of 푉 and 푓, 푔 ∈ 푘(푉 ). Then order function has the following properties:

(1) ord푃 (푓 ) + ord푃 (푔) = ord푃 (푓 푔). (2) −ord푃 (푓 ) = ord푃 (1/푓 ). From which it follows that (1) Div(푓 ) + Div(푔) = Div(푓 푔). (2) −Div(푓 ) = Div(1/푓 ). Hence PDiv(푉 ) is a subgroup of Div(푉 ). It is also normal since the subgroup of any abelian group is normal. □

  1. Divisor Class Group

Since we have an interesting normal subgroup, the next obvious thing to do is...

Definition 6.1. The Divisor Class Group of a variety 푉 is defined as

Cl(푉 ) = Div(푉 )/PDiv(푉 ). Note: The equivalent definition for Cartier divisors is called the Picard group. However again in most cases where both are defined they coincide.

Example 6.2. Cl(픸푛) = { 0 }, since we have already shown every divisor on 픸푛^ is principal!

Theorem 6.3. Cl(ℙ푛) ≃ ℤ.

Proof. Since we are working in ℙ푛, the prime divisors are exactly the hyper- surfaces. Let 퐻 be a hypersurface in ℙ푛, then define deg 퐻 to be simply the degree of the polynomial defining 퐻. We can extend the map deg to all of Div(ℙ푛) by linearity. i.e.

deg

X

hypersurfaces 퐻 of ℙ푛

X

hypersurfaces 퐻 of ℙ푛

푛퐻 deg 퐻.

It is then clear that deg : Div(ℙ푛) → ℤ

is a homomorphism of groups. It is surjective since the degree of the hyper- surface defined by 푋 = 0 is 1. Next we must show that the kernel of this map is PDiv(ℙ푛), then by the first isomorphism theorem we are done. That is we must show that deg 퐷 = 0 if and only if 퐷 is principal. Let 퐹 = 푃/푄 ∈ 푘(ℙ푛) for some homogeneous polynomials 푃, 푄 ∈ 푘[푋 0 ,... , 푋푛] of the same degree. Then since 푘[푋 0 ,... , 푋푛] is a UFD, we can write

푃 = 푃 1 푛 1 푃 2 푛 2... 푃 (^) 푠푛 푠, 푄 = 푄푚 1 1 푄푚 2 2... 푄푚 푡푡

where each 푃푖, 푄푖 are irreducible. Now let 푌푖 = 푉 (푃푖), 푍푖 = 푉 (푄푖) be the corresponding hypersurfaces in ℙ푛. We find that

deg Div(퐹 ) =

X^ 푠

푖=

푛푖 deg 푌푖 −

X^ 푡

푖=

푚푖 deg 푍푖 = deg 푃 − deg 푄 = 0

since 푃 and 푄 have the same degree. We now basically play the same game, but in reverse. Let 퐷 be a divisor such that deg 퐷 = 0. We can write

X^ 푠

푖=

X^ 푡

푖=

for some hypersurfaces 푌푖, 푍푖 and where

X^ 푠

푖=

푛푖 deg 푌푖 =

X^ 푡

푖=

푚푖 deg 푍푖.

Let 푃푖 = 푉 (푌푖), 푄푖 = 푉 (푍푖) be the corresponding irreducible polynomials and 푃 = 푃 1 푛 1 푃 2 푛 2... 푃 (^) 푠푛 푠, 푄 = 푄푚 1 1 푄푚 2 2... 푄푚 푡 푡.

Then deg 푃 = deg 푄 by definition, so 퐹 = 푃/푄 is a well-defined function in 푘(ℙ푛) with Div(퐹 ) = 퐷. Hence 퐷 is principal. So ker deg = PDiv and we are done. □