Symmetric Polynomials s1,s2,s3

In summary, symmetric polynomials are algebraic expressions that remain unchanged when the variables are permuted. The basic symmetric polynomials are s1, s2, and s3, which are used in various areas of mathematics such as algebra, combinatorics, and geometry. They play a crucial role in simplifying calculations and have connections to other areas of mathematics. They can also be generalized to any number of variables and have applications in higher-dimensional spaces.
  • #1
mathjam0990
29
0
Express r12+r22+...+rn2 as a polynomial in the elementary symmetric polynomials s1, s2, . . . ,sn.

I'm sure the equation we are dealing with is (r1+r2+...+rn)2 which is very large to factor out but should yield r12+r22+...+rn2+(other terms)

I believe s1=r1+r2+...+rn

s2=Σri1ri2 for 1≤i1≤i2≤n

s3=r1r2⋅⋅⋅⋅⋅⋅rn

So the answer should be r12+r22+...+rn2 = s12 - (something with s2,...sn) Sorry I am not sure what to employ here to break this all the way down.

If there is anyone who could provide an explanation, that would be amazing. Thank you!
 
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  • #2
mathjam0990 said:
Express r12+r22+...+rn2 as a polynomial in the elementary symmetric polynomials s1, s2, . . . ,sn.

I'm sure the equation we are dealing with is (r1+r2+...+rn)2 which is very large to factor out but should yield r12+r22+...+rn2+(other terms)

I believe s1=r1+r2+...+rn

s2=Σri1ri2 for 1≤i1≤i2≤n

s3=r1r2⋅⋅⋅⋅⋅⋅rn

So the answer should be r12+r22+...+rn2 = s12 - (something with s2,...sn) Sorry I am not sure what to employ here to break this all the way down.

If there is anyone who could provide an explanation, that would be amazing. Thank you!
.

now $s_1 = r_1 + r_2 + r_3 + r_ 4 ...\cdots r_n$
because we need to evaluate $r_1^2 + r_2^2 + ..\cdots + r_n^2$ I am tempted to sqaure $S_1$ which shall give
square terms and additional ones

As we get $s_1^2 = r_1^2 + r_2^2 + r_3^2 + r_ 4 ...\cdots r_n^2 + r_1 r_2 + r_1 r_3 + ...$
$= r_1^2 + r_2^2 + r_3^2 + r_ 4 ...\cdots r_n^2 + 2 \sum_{p=1}^{m-1} \sum_{m=1}^{n} r_p r_m$ (one comes from $r_p r_m$ and another from $r_m r_p$ for $p \ne m$
$= r_1^2 + r_2^2 + r_3^2 + r_ 4 ...\cdots r_n^2 + 2 s_2$

hence given sum = $s_1^2 - 2s_2$
 
  • #3
mathjam0990 said:
Express r12+r22+...+rn2 as a polynomial in the elementary symmetric polynomials s1, s2, . . . ,sn.

I'm sure the equation we are dealing with is (r1+r2+...+rn)2 which is very large to factor out but should yield r12+r22+...+rn2+(other terms)

I believe s1=r1+r2+...+rn

s2=Σri1ri2 for 1≤i1≤i2≤n

s3=r1r2⋅⋅⋅⋅⋅⋅rn

So the answer should be r12+r22+...+rn2 = s12 - (something with s2,...sn) Sorry I am not sure what to employ here to break this all the way down.

If there is anyone who could provide an explanation, that would be amazing. Thank you!

It's easier to illustrate what the $s_i$ are with a particular $n$. Let's use $n = 4$. Suppose our variables are $r_1,r_2,r_3,r_4$. Then our polynomials are in the polynomial ring:

$F[r_1,r_2,r_3,r_4]$ (where $F$ is our underlying field).

Given $f \in F[r_1,r_2,r_3,r_4]$, we can have $\sigma \in S_4$ operate on $F[r_1,r_2,r_3,r_4]$ by:

$\sigma(f(r_1,r_2,r_3,r_4)) = f(r_{\sigma(1)},r_{\sigma(2)},r_{\sigma(3)},r_{\sigma(4)})$.

We say a polynomial $f \in F[r_1,r_2,r_3,r_4]$ is *symmetric* if $\sigma(f) = f$.

The ELEMENTARY symmetric polynomials are the "basic" symmetric polynomials of any given degree > 0. Let's see how they are constructed, for $n = 4$, by seeing what they ought to be (note we don't care about constant terms, since $\sigma$ never affects them, so for simplicity's sake, we'll always assume all constant terms are 0).

For degree $1$, our polynomials are just linear combinations of the $r_i$. So the "simplest" symmetric combination would be:

$s_1 = r_1 + r_2 + r_3 + r_4$.

This can't be improved on, eliminating any term would break the symmetry.

for degree $2$, our polynomials would be linear combinations of $r_ir_j$ ($i = j$ might happen) + terms of lower degree. since we can capture symmetric terms of lower degree by the polynomial above, we will only look at symmetric combinations of $r_ir_j$.

At first, it might seem the best candidate would be:

$f = r_1^2 + r_1r_2 + r_1r_3 + r_1r_4 + r_2^2 + r_2r_3 + r_2r_4 + r_3^2 + r_3r_4 + r_4^2$ (all possible degree 2 terms summed).

However, note that:

$s_1^2 = (r_1 + r_2 + r_3 + r_4)^2 =$

$ r_1^2 + r_1r_2 + r_1r_3 + r_1r_4 + r_2r_1 + r_2^2 + r_2r_3 + r_2r_4 + r_3r_1 + r_3r_2r_3^2 + r_4r_1 + r_4r_2 + r_4r_3 + r_4^2$

$= r_1^2 + r_2^2 + r_3^2 + r_4^2 + 2(r_1r_2 + r_1r_3 + r_1r_4 + r_2r_3 + r_2r_4 + r_3r_4)$

If we call the "cross-terms" $2g$, we have:

$f = s_1^2 - 2g + g$ where the $s_1^2 - 2g$ gives us just the degree 2 terms in $f$ that are squares.

Thus all we need to get $f$ is $s_1$ and $g$ (both of these are still symmetric) and $g$ is "more minimal" than $f$ (fewer terms). So we should pick $g$ as $s_2$:

$s_2 = r_1r_2 + r_1r_3 + r_1r_4 + r_2r_3 + r_2r_4 + r_3r_4$

The same sort of logic applies to the higher terms (but the algebra is horrendous), so:

$s_3 = r_1r_2r_3 + r_1r_2r_4 + r_1r_3r_4 + r_2r_3r_4$

(Do you see the pattern? We pick $s_k = \sum\limits_{i_1 < i_2 < \cdots < i_k} r_{i_1}r_{i_2}\cdots r_{i_k}$)

and finally $s_4 = r_1r_2r_3r_4$.
 

FAQ: Symmetric Polynomials s1,s2,s3

What are symmetric polynomials?

Symmetric polynomials are algebraic expressions that remain unchanged when the variables are permuted. This means that if the variables are swapped, the resulting polynomial will still be the same.

What are the basic symmetric polynomials?

The basic symmetric polynomials are s1, s2, and s3. These are defined as follows:
s1 = x + y + z
s2 = xy + xz + yz
s3 = xyz

How are symmetric polynomials used in mathematics?

Symmetric polynomials are used in various areas of mathematics, such as algebra, combinatorics, and geometry. They have applications in solving polynomial equations, studying symmetric functions, and understanding the roots of a polynomial, among others.

What is the importance of symmetric polynomials?

Symmetric polynomials play a crucial role in many mathematical concepts and applications. They help in simplifying complex calculations and solving problems involving symmetric structures. Additionally, they have connections to other areas of mathematics, making them a fundamental tool for many mathematicians.

Can symmetric polynomials be generalized to more than three variables?

Yes, symmetric polynomials can be generalized to any number of variables. For instance, the fourth basic symmetric polynomial is defined as:
s4 = x^3y + x^3z + y^3x + y^3z + z^3x + z^3y + 2x^2y^2 + 2x^2z^2 + 2y^2z^2
These generalized symmetric polynomials have various applications in mathematics, especially in higher-dimensional spaces.

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