Affine Algebraic Sets in A^2 - Dummit and Foote, page 660, Example 3

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In summary: In this case, (x + 2) is a factor of the polynomial and the remaining factor is (x + 2). This is the same idea with (x^3 - y^2) and g(x,y).In summary, we can write any polynomial f(x,y) in k[x,y] as a linear combination of smaller polynomials with coefficients in k by factoring out common terms. In Example (3), we see this in action as f(x,y) is broken down into f_0(x), f_1(x)y, and (x^3 - y^2) g(x,y). This may seem complicated at first, but it is a key concept in understanding algebraic geometry. I hope this explanation
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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 need someone to help me to fully understand the reasoning/analysis behind one of the statements in Example (3) on Page 660 of D&F ...

On page 660 (in Section 15.1) of D&F we find the following text and examples (I am specifically focused on Example (3)):View attachment 4749In the above text, in Example (3), we find the following:

"... ... For any polynomial \(\displaystyle f(x,y) \in k[x,y]\) we can write

\(\displaystyle f(x,y) = f_0(x) + f_1(x)y + (x^3 - y^2) g(x,y)\) ... ... "Can someone explain (slowly and carefully) exactly why this is true ... ...

Peter
 
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, thank you for your question. Let's take a closer look at the statement in Example (3) and break it down step by step.

First, let's define some terms. In this context, k is a field and k[x,y] represents the ring of polynomials in two variables x and y with coefficients in k. This means that any polynomial in k[x,y] can be written as a linear combination of monomials (terms with a single variable or a constant) with coefficients in k.

Next, we have the polynomial f(x,y) which is a member of k[x,y]. This means that we can write f(x,y) as a linear combination of monomials with coefficients in k. For example, f(x,y) could be written as f(x,y) = ax^2 + by^3 + cx + d, where a, b, c, and d are elements of k.

Now, let's focus on the specific term (x^3 - y^2). This is a polynomial in two variables, but it is not a member of k[x,y]. However, we can still use it as a factor in a polynomial in k[x,y], which is what we see in the statement f(x,y) = f_0(x) + f_1(x)y + (x^3 - y^2) g(x,y). This means that we are taking the polynomial f(x,y) and breaking it down into smaller parts, specifically f_0(x), f_1(x)y, and (x^3 - y^2) g(x,y).

The reason we can do this is because of the properties of polynomials and the distributive property. We know that if we have a polynomial in k[x,y], we can break it down into smaller parts by factoring out common terms. In this case, we are factoring out (x^3 - y^2) from f(x,y). This leaves us with f_0(x) + f_1(x)y, which are both polynomials in x with coefficients in k.

Lastly, we have the term g(x,y) which is also a polynomial in two variables. This term is multiplied by (x^3 - y^2), which means that it is a factor of f(x,y). This is similar to how we can write a polynomial like x^2 + 4x + 4 as (x + 2)^2.
 

FAQ: Affine Algebraic Sets in A^2 - Dummit and Foote, page 660, Example 3

What are Affine Algebraic Sets?

Affine Algebraic Sets are subsets of a coordinate space that satisfy a system of polynomial equations. They are defined as the common solution set of a finite number of polynomials in the coordinate variables.

What is A^2 in this context?

In this context, A^2 refers to the affine plane, which is a two-dimensional coordinate space with the coordinates being elements of a field. For example, A^2 over the real numbers would be the Cartesian plane.

What is Example 3 on page 660 of Dummit and Foote?

Example 3 on page 660 of Dummit and Foote is a specific example of an affine algebraic set in A^2. It shows how to find the defining equations of the set {(x,y) ∈ A^2 | x^2 + y^2 = 1} over the field of complex numbers.

What is the significance of this example?

This example is significant because it illustrates the concept of affine algebraic sets and how to find their defining equations. It also shows how to work with these sets over different fields, in this case the field of complex numbers.

What are some real-world applications of affine algebraic sets?

Affine algebraic sets have many real-world applications, including in computer graphics, cryptography, and coding theory. They are also heavily used in algebraic geometry, a branch of mathematics that studies the properties of solutions to polynomial equations.

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