Explicit expression for ideal membership

In summary, the conversation discusses the explicit expression for all polynomials in the Ideal generated by a given polynomial in the field of rational numbers. The definition of the Ideal is provided, along with an example. The conversation also mentions the possibility of a known formula for the general case, and mentions a neat trick for checking if a polynomial is in the correct form.
  • #1
aheight
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TL;DR Summary
Construct an explicit expression for all elements in an ideal of Q[x]?
Derive an explicit expression for all ##f\in\langle q\rangle\subseteq \mathbb{Q}[x]##. I think it's doable and was wondering if there is a published formula?
 
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  • #2
What is the definition of ##\left<q\right>##?
 
  • #3
Office_Shredder said:
What is the definition of ##\left<q\right>##?
##\langle q \rangle## is the Ideal generated by the polynomial ##q(x)\in \mathbb{Q}[x]##.

$$
\langle q\rangle=\{q(x)h(x): h(x)\in \mathbb{Q}[x]\}.
$$

For example ##x^6-1\in \langle x-1\rangle##. And in this case, it's easy to derive an explicit expression for all ##a_0+a_1x+\cdots+a_n x^n\in\langle x-1\rangle## right? It's ##\{a_0+a_1 x+\cdots+a_nx^2\in \mathbb{Q}[x]:\sum a_i=0\}##. So I was wondering if there is a known formula for the general case:
$$
a_0+a_1x+\cdots+a_n x^n\in\langle b_0+b_1x+\cdots+ b_n x^k\rangle
$$
say for ##k<n## or maybe any ##k,n##. Not sure though.
 
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  • #4
That formula about the sum of coefficients is a slightly neat trick but unnecessary.

The polynomials in ##<b_kx^k+...+b_0>## are the ones of the form ##b_k a_n x^{k+n}+ (b_{k-1} a_n + b_k a_{n-1}) x^{k+n-1}+...##

If you're wondering given a polynomial how you can check if it's in the right form, that's also easy. Polynomial division is a straightforward algorithm that you can perform to see if your polynomial is dividing.
 

1. What is an explicit expression for ideal membership?

An explicit expression for ideal membership is a mathematical formula or equation that represents the ideal membership function, which is used to determine the degree of membership of an element in a given set. It is a way to mathematically express the concept of membership in a set.

2. How is an explicit expression for ideal membership different from other membership functions?

An explicit expression for ideal membership differs from other membership functions in that it is a precise mathematical formula, rather than a general rule or heuristic. It provides a more specific and quantitative measure of membership, rather than a qualitative one.

3. What are the advantages of using an explicit expression for ideal membership?

One advantage of using an explicit expression for ideal membership is that it allows for more precise calculations and comparisons between different elements in a set. It also provides a clearer understanding of the degree of membership for each element, rather than a vague or subjective measure.

4. How is an explicit expression for ideal membership used in real-world applications?

An explicit expression for ideal membership is commonly used in fields such as artificial intelligence, fuzzy logic, and pattern recognition. It can be applied to various real-world problems, such as classification, decision-making, and data analysis.

5. Can an explicit expression for ideal membership be applied to non-numeric data?

Yes, an explicit expression for ideal membership can be applied to non-numeric data by converting the data into numerical values or by using fuzzy logic techniques. This allows for the use of explicit expressions in a wide range of applications, even those involving qualitative or linguistic data.

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