What is the minimum value of $n$ for a nonnegative polynomial with degree $d$?

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In summary, the conversation discusses a method for proving that if a polynomial with real coefficients only takes nonnegative values, there exists a positive integer and a set of polynomials such that the polynomial can be expressed as a sum of squares. The conversation also mentions a related question about the smallest possible value of the integer, which is addressed using linear algebra and vector spaces. This method is also related to Hilbert's seventeenth problem.
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melese
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(HUN,1979) Prove the following statement: If a polynomial $f(x)$ with real coefficients takes only nonnegative values, then there exists a positive integer $n$ and polynomials $g_1(x),g_2(x),...,g_n(x)$ such that $f(x)=g_1(x)^2+g_2(x)^2+\cdots+g_n(x)^2$.

A related question of my own, but I don't have/know the answer:
If $\deg({f})=d$, then what is the smallest possible value of $n$.
For example: I know that it's $2$, when $d=2$ and $1$ when $d=0$.

መለሰ
 
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  • #2
melese said:
(HUN,1979) Prove the following statement: If a polynomial $f(x)$ with real coefficients takes only nonnegative values, then there exists a positive integer $n$ and polynomials $g_1(x),g_2(x),...,g_n(x)$ such that $f(x)=g_1(x)^2+g_2(x)^2+\cdots+g_n(x)^2$.

A related question of my own, but I don't have/know the answer:
If $\deg({f})=d$, then what is the smallest possible value of $n$.
For example: I know that it's $2$, when $d=2$ and $1$ when $d=0$.

መለሰ

I thought of this in terms of linear algebra and vector spaces. Consider the set

\begin{matrix}
g_0(x)=\sqrt{c_0} & g_0^2(x)=c_0 \\
g_1(x)=(1+c_1x) & g_1^2(x)=1+2c_1x+c_1^2x^2\\
g_2(x)=\sqrt{c_2}x & g_2(x)=c_1x^2\\
g_3(x)=(x+\sqrt{c_3}x^2) & g_3(x)=x^2+c_3x^3+c_3^2x^4\\
g_4(x)=\sqrt{c_4}x^2) & g_4(x)=c_4x^4 \\
g_5(x)=(x^2+\sqrt{c_5}x^3 & g_5(x)=x^4+c_5x^5+c_5^2x^6 \\
\vdots & \vdots \\
\end{matrix}

This gives a matrix that looks like this

\begin{bmatrix}
c_0 & 0 & 0 & 0 & 0 & \dots \\
1 & 2c_1 & c_1^2 &0 & 0 & \dots \\
0 & 0 & c_2 & 0 & 0 & \dots \\
0 & 0& 1 & 2c_3 & c_3^2 & \dots \\
\vdots &\vdots &\vdots &\vdots &\vdots & \ddots \\
\end{bmatrix}

As long as the number of rows \(\displaystyle k\) is odd the set will be linearly independant and thus span polynomial space of degree \(\displaystyle k-1\)

Just to be clear now we can pick \(\displaystyle c_0,c_1,c_2,...\) so that we can get any polynomail

For example if \(\displaystyle f(x)=3x^2-8x+10\), then

We solve
\begin{matrix}

c_0+1=10 \\
2c_1=-8 \\
c_1^2+c_2=3
\end{matrix}

This gives
\(\displaystyle c_0=9, \quad c_1=-4, \quad c_2=-13\)

and \(\displaystyle 9g_0^2-4g_1^2-13g_2=9+1+2(-4)x+(-4)^2x-13x^2=3x^2-8x+10\)

I think this will help settle your other question as well.
 
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FAQ: What is the minimum value of $n$ for a nonnegative polynomial with degree $d$?

What are nonnegative polynomials?

Nonnegative polynomials are mathematical expressions that only contain variables raised to nonnegative powers (i.e. 0 or positive integers) and coefficients that are also nonnegative. They are often used in optimization problems and have important applications in fields such as economics, physics, and computer science.

What is the difference between nonnegative polynomials and positive polynomials?

The main difference between nonnegative polynomials and positive polynomials is that nonnegative polynomials can have terms with zero coefficients, while positive polynomials do not. This means that nonnegative polynomials can evaluate to zero, while positive polynomials will always have a positive value for any input.

How are nonnegative polynomials used in optimization problems?

Nonnegative polynomials are used in optimization problems to represent constraints or objective functions. By restricting the variables and coefficients to be nonnegative, the resulting optimization problem can often be solved more efficiently and can provide a more meaningful solution.

What are some examples of nonnegative polynomials?

Some examples of nonnegative polynomials include x^2 + 2x + 1, 3xy + 5x^2y^3 + 2, and 6x^4 + 10x^2 + 4. These polynomials only contain nonnegative powers of variables and coefficients, and can evaluate to zero for certain inputs (e.g. x = -1 for the first example).

Can nonnegative polynomials have negative coefficients?

No, by definition, nonnegative polynomials can only have nonnegative coefficients. This means that all the coefficients in the polynomial must be either zero or positive. If a polynomial has even one negative coefficient, it cannot be considered a nonnegative polynomial.

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