Solvable polynomial definition problem

In summary, the conversation discusses the definition of an algebraically solvable polynomial f in a field K[X], where the root field N is contained in a field extension E of K. The conversation also brings up the confusion about all polynomials over the field of rational numbers being algebraically solvable, and clarifies that this is not the case for polynomials over the field of complex numbers. The conversation also discusses the importance of choosing the smallest field K possible for f to be in, and the necessity of specifying the field in which the polynomial is algebraically solvable.
  • #1
jostpuur
2,116
19
I've now read a definition like this. A polynomial [tex]f\in K[X][/tex] is algebraically solvable if the root field [tex]N=K(x_1,\ldots, x_n)[/tex] (here [itex]x_1,\ldots, x_n[/itex] are the roots of the polynomial) is contained in some field extension [tex]E[/tex] of [tex]K[/tex], for which there exists a sequence of field extension [tex]K=E_0\subset E_1\subset\cdots\subset E_n=E[/tex] so that [tex]E_{k+1} = E_k(a)[/tex] with [tex]a^n\in E_k[/tex] with some [itex]n[/itex].

I must have understood something wrong, because now it seems that for example all polynomials [tex]f\in\mathbb{Q}[X][/tex] are algebraically solvable. The reason is this. The polynomial is also [tex]f\in\mathbb{C}[X][/tex], the root field is [tex]\mathbb{C}(x_1,\ldots, x_n)=\mathbb{C}[/tex], and it is contained in the trivial field extension where nothing is added.

Anything that reduced my confusion would be appreciated.
 
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  • #2
You've completely forgotten the Q. You can't do that.

Of course, all polys over C[x] are solvable - they are all reducible to linear factors over C, so the Galois theory there is completely vacuous.
 
  • #3
With given polynomial [tex]f=a_n X^n+ \cdots a_1 X + a_0[/tex], we are supposed to choose as small field K as possible, so that [tex]f\in K[X][/tex], before using the definition of polynomial being algebraically solvable?
 
  • #4
You don't "choose" K. K is given to you.
 
  • #5
So instead of speaking about some "polynomial being algebraically solvable", be should more precisely speak about "polynomial being algebraically solvable in some field"?
 
  • #6
Yes, but that was implicit in saying f(x) in K[x].
 

1. What is a "solvable polynomial definition problem"?

A solvable polynomial definition problem is a mathematical problem that involves finding a solution to an equation where the unknown variable is a polynomial function. This means that the equation includes one or more terms with variables raised to a power, such as x^2 or 2x^3. The goal is to find a value or set of values for the variable that makes the equation true.

2. How do you solve a solvable polynomial definition problem?

To solve a solvable polynomial definition problem, you first need to identify the type of equation you are working with. This could be a linear equation, quadratic equation, or higher-order polynomial equation. Then, you can use different methods such as factoring, the quadratic formula, or the rational root theorem to solve for the variable(s) in the equation.

3. Are all polynomial equations solvable?

No, not all polynomial equations are solvable. There are some equations, called "unsolvable" or "irreducible" equations, that cannot be solved using traditional algebraic methods. These equations often involve higher-order polynomials with no real solutions or complex solutions.

4. What is the difference between a solvable and unsolvable polynomial equation?

The main difference between a solvable and unsolvable polynomial equation is that a solvable equation has one or more real solutions, meaning that there are values for the variable that make the equation true. On the other hand, an unsolvable equation has no real solutions, meaning that there are no values for the variable that make the equation true.

5. Why are solvable polynomial definition problems important?

Solvable polynomial definition problems are important because they allow us to model and solve real-world problems using mathematical equations. These types of problems can be found in various fields such as science, engineering, economics, and finance. Additionally, understanding how to solve polynomial equations is fundamental in higher-level mathematics and is necessary for solving more complex problems.

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