Residue Class Rings (Factor Rings) of Polynomials _ R Y Sharp

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Discussion Overview

The discussion revolves around Exercise 3.24 from R Y Sharp's "Steps in Commutative Algebra," which asks participants to demonstrate that the residue class ring \( S \) of the ring of polynomials \( \mathbb{R}[x_1, x_2, x_3] \) over the real field \( \mathbb{R} \) given by \( S = \mathbb{R}[x_1, x_2, x_3]/(x_1^2 + x_2^2 + x_3^2) \) is an integral domain. The scope includes theoretical aspects of polynomial rings, irreducibility, and the division algorithm in multiple variables.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant seeks assistance in understanding the nature of the ideal generated by \( (x_1^2 + x_2^2 + x_3^2) \) and how to apply the division algorithm to polynomials in several variables.
  • Another participant argues that the division algorithm does not generalize well to multivariate polynomials, citing the example of \( \text{gcd}(x_1,x_2) = 1 \) and the inability to express it as a linear combination of \( x_1 \) and \( x_2 \).
  • This participant suggests that showing \( x_1^2 + x_2^2 + x_3^2 \) is irreducible over \( \mathbb{R} \) will demonstrate that the ideal is prime, thus confirming that the quotient is an integral domain.
  • Another participant clarifies that if \( x_1^2 + x_2^2 + x_3^2 = f(x_1,x_2,x_3)g(x_1,x_2,x_3) \) holds for non-units \( f \) and \( g \), then both must have degree at most 1, leading to a contradiction.
  • Further, a participant explains how to define the degree of a polynomial in multiple variables and how it relates to the product of polynomials.

Areas of Agreement / Disagreement

Participants express differing views on the applicability of the division algorithm to multivariate polynomials, with some asserting it does not generalize well while others discuss the implications of polynomial degrees. The discussion remains unresolved regarding the best approach to demonstrate that \( S \) is an integral domain.

Contextual Notes

Participants note the limitations of the division algorithm in multivariate contexts and the assumptions regarding polynomial degrees. The discussion also highlights the need for clarity on the irreducibility of \( x_1^2 + x_2^2 + x_3^2 \) and its implications for the ideal's properties.

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I am reading R Y Sharp: Steps in Commutative Algebra.

In Chapter 3 (Prime Ideals and Maximal Ideals) on page 44 we find Exercise 3.24 which reads as follows:

-----------------------------------------------------------------------------
Show that the residue class ring $$ S $$ of the ring of polynomials $$ \mathbb{R}[x_1, x_2, x_3] $$ over the real field $$ \mathbb{R} $$ in indeterminates $$ x_1, x_2, x_3 $$ given by

$$ S = \mathbb{R}[x_1, x_2, x_3]/(x_1^2 + x_2^2 + x_3^2) $$ is an integral domain.

----------------------------------------------------------------------------

Can someone please help me make a significant start n this problem.

Some thoughts that I think are relevant to the problem follow:

First I tried to get an idea of the nature of $$ (x_1^2 + x_2^2 + x_3^2) $$ and $$ S = \mathbb{R}[x_1, x_2, x_3]/(x_1^2 + x_2^2 + x_3^2) $$ and their elements.

Thus ...

$$ (x_1^2 + x_2^2 + x_3^2) = \{ f(x_1, x_2, x_3)(x_1^2 + x_2^2 + x_3^2) \ | \ f(x_1, x_2, x_3) \in \mathbb{R}[x_1, x_2, x_3] \} $$

$$ \mathbb{R}[x_1, x_2, x_3]/(x_1^2 + x_2^2 + x_3^2) = \{ g(x_1, x_2, x_3) + (x_1^2 + x_2^2 + x_3^2) \ | \ g(x_1, x_2, x_3) \in \mathbb{R}[x_1, x_2, x_3] \} $$

Now I suspect that one now uses the division algorithm to determine a remainder which will be of lower degree than $$ x_1^2 + x_2^2 + x_3^2 $$ - that is lower than deg 2 (? is that right ?? )

BUT, what exactly would be the nature of the remainder - ie how does the division algorithm work for polynomials of several variables?

And then ... where to go from there ...

Can someone assist me in this ...

Further does anyone know of a text that gives an example of the division algorithm, applied to polynomials in several variables ...

An elementary or undergraduate text dealing in all aspects of the theory of polynomials in several variables would be helpful in getting a sense of what is happening in the abstract theorems ...

Peter
 
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I don't think the division algorithm generalizes well to multivariate polynomials.

For example, we have:

$\text{gcd}(x_1,x_2) = 1$

but I daresay we cannot find $f(x_1,x_2),g(x_1,x_2) \in \Bbb R[x_1,x_2]$ such that:

$x_1f(x_1,x_2) + x_2g(x_1,x_2) = 1$

for, if we could, we would have, at $(x_1,x_2) = (0,0)$:

$0 = 1$.

But all is not lost:

What we need to show is that $x_1^2 + x_2^2 + x_3^2$ is irreducible (= prime, since we have a UFD) over $\Bbb R$ (we will use an important property of the real numbers in the process). This will show that our ideal is a prime ideal, which will mean the quotient is an integral domain.

First of all, it should be clear that if:

$x_1^2 + x_2^2 + x_3^2 = f(x_1,x_2,x_3)g(x_1,x_2,x_3)$ where these are non-units, then neither $f$ nor $g$ can contain terms of degree higher than 1, so we have:

$x_1^2 + x_2^2 + x_3^2 = (a + bx_1 + cx_2 + dx_3)(a' + b'x_1 + c'x_2 + d'x_3)$.

Now, what do we ALWAYS DO FIRST, when we consider polynomials? If you answered: "look at the constant term", you win today's prize.

We thus get: $aa' = 0$, so without loss of generality, we can take: $a' = 0$.

Looking at the $x_i^2$ terms, we get:

$bb' = 1$
$cc' = 1$
$dd' = 1$, so none of these can be 0.

Since the $x_i$ terms must all be 0, we get:

$ab' = 0$
$ac' = 0$
$ad' = 0$, anyone of which implies $a = 0$.

Now let's consider the $x_1x_2$ term, which is:

$bc' + cb' = \dfrac{b}{c} + \dfrac{c}{b} = 0$.

This gives:

$\dfrac{b^2 + c^2}{bc} = 0$

and since $bc \neq 0$, we must have $b^2 + c^2 = 0$.

This in turn implies $b = c = 0$ (this is where we use the properties of real numbers), a contradiction, so no such $b,c$ can exist, and we are done.
 
Deveno said:
I don't think the division algorithm generalizes well to multivariate polynomials.

For example, we have:

$\text{gcd}(x_1,x_2) = 1$

but I daresay we cannot find $f(x_1,x_2),g(x_1,x_2) \in \Bbb R[x_1,x_2]$ such that:

$x_1f(x_1,x_2) + x_2g(x_1,x_2) = 1$

for, if we could, we would have, at $(x_1,x_2) = (0,0)$:

$0 = 1$.

But all is not lost:

What we need to show is that $x_1^2 + x_2^2 + x_3^2$ is irreducible (= prime, since we have a UFD) over $\Bbb R$ (we will use an important property of the real numbers in the process). This will show that our ideal is a prime ideal, which will mean the quotient is an integral domain.

First of all, it should be clear that if:

$x_1^2 + x_2^2 + x_3^2 = f(x_1,x_2,x_3)g(x_1,x_2,x_3)$ where these are non-units, then neither $f$ nor $g$ can contain terms of degree higher than 1, so we have:

$x_1^2 + x_2^2 + x_3^2 = (a + bx_1 + cx_2 + dx_3)(a' + b'x_1 + c'x_2 + d'x_3)$.

Now, what do we ALWAYS DO FIRST, when we consider polynomials? If you answered: "look at the constant term", you win today's prize.

We thus get: $aa' = 0$, so without loss of generality, we can take: $a' = 0$.

Looking at the $x_i^2$ terms, we get:

$bb' = 1$
$cc' = 1$
$dd' = 1$, so none of these can be 0.

Since the $x_i$ terms must all be 0, we get:

$ab' = 0$
$ac' = 0$
$ad' = 0$, anyone of which implies $a = 0$.

Now let's consider the $x_1x_2$ term, which is:

$bc' + cb' = \dfrac{b}{c} + \dfrac{c}{b} = 0$.

This gives:

$\dfrac{b^2 + c^2}{bc} = 0$

and since $bc \neq 0$, we must have $b^2 + c^2 = 0$.

This in turn implies $b = c = 0$ (this is where we use the properties of real numbers), a contradiction, so no such $b,c$ can exist, and we are done.

Thank you for the help, Deveno ... just starting to work through this now.

Just a preliminary question ...

You write:

"I don't think the division algorithm generalizes well to multivariate polynomials."

and then

"$x_1^2 + x_2^2 + x_3^2 = f(x_1,x_2,x_3)g(x_1,x_2,x_3)$ where these are non-units, then neither $f$ nor $g$ can contain terms of degree higher than 1"

but how does this second statement follow ... since I thought this type of statement was dependent for its validity on the division algorithm working and giving a remainder of lower degree than the dividend ...

How are you justifying this statement ...

Peter
 
Well we can still talk about the degree of a polynomial in more than one variable:

First we define the degree of the monomial:

$ax_1^{r_1}x_2^{r_2}\cdots x_n^{r_n}$ to be:

$\displaystyle \sum_{i = 1}^n r_i$

and then define the degree of the polynomial to be the maximum of the set of all the degrees of the monomials (we have a finite number of monomials, so we have a maximum, which may be shared by several monomials).

So we can still say that:

$\text{deg}(f(x_1,\dots,x_n)g(x_1,\dots,x_n)) = \text{deg}(f(x_1,\dots,x_n)) + \text{deg}(g(x_1,\dots,x_n))$ if $f,g \neq 0$, and that:

$f(x_1,\dots,x_n)$ is a constant polynomial if and only if $\text{deg}(f(x_1,\dots,x_n)) = 0$.

In particular, if $\text{deg}(fg) = 2$ and neither polynomial is constant (a unit) we must have: $\text{deg}(f) = \text{deg}(g) = 1$.
 
Deveno said:
Well we can still talk about the degree of a polynomial in more than one variable:

First we define the degree of the monomial:

$ax_1^{r_1}x_2^{r_2}\cdots x_n^{r_n}$ to be:

$\displaystyle \sum_{i = 1}^n r_i$

and then define the degree of the polynomial to be the maximum of the set of all the degrees of the monomials (we have a finite number of monomials, so we have a maximum, which may be shared by several monomials).

So we can still say that:

$\text{deg}(f(x_1,\dots,x_n)g(x_1,\dots,x_n)) = \text{deg}(f(x_1,\dots,x_n)) + \text{deg}(g(x_1,\dots,x_n))$ if $f,g \neq 0$, and that:

$f(x_1,\dots,x_n)$ is a constant polynomial if and only if $\text{deg}(f(x_1,\dots,x_n)) = 0$.

In particular, if $\text{deg}(fg) = 2$ and neither polynomial is constant (a unit) we must have: $\text{deg}(f) = \text{deg}(g) = 1$.

Thanks Deveno ...

Yes of course ... That cleared up that issue ...

Peter
 

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