## Roots of Polynomials II

This one might have to suffice for two days. The movers are almost done loading the truck here in New Orleans, and I’ll be taking today and tomorrow to drive to Maryland.

We can actually tease out more information from the factorization we constructed yesterday. Bur first we need a little definition.

Remember that when we set up the algebra of polynomials we noted that the coefficients have to be all zero after some finite number of them. Thus there must be a greatest nonzero coefficient . The index corresponding to this coefficient we call the “degree” of the polynomial. If all the coefficients are zero — giving the zero polynomial — then a common convention is to assign it degree . This actually isn’t completely arbitrary, but the details won’t concern us until later.

So, armed with this information, look at how we constructed the factorization . We replaced each term in with the term . Then we factored out from this term, giving . So the highest power of that shows up in this term (with a nonzero coefficient) is . And the highest power coming from all the terms of will be . The power shows up only once in the expression for , so there’s no way for two such terms to add together and make its coefficient turn out to be zero, and no higher power of ever shows up at all. Thus the degree of is one less than that of .

So what does this gain us? Well, each time we find a root we can factor out a term like , which reduces the degree by . So if has degree there can only be at most roots!

A nonzero constant polynomial has degree , but it also has no roots! Perfect.

A linear polynomial has degree , and it has exactly one root: .

Now let’s assume that our statement is true for all polynomials of degree : they have or fewer roots. Then given a polynomial of degree either has a root or it doesn’t. If it doesn’t, then we’re already done. If it does, then we can factor , where has degree . But then can have at most roots, and thus can have at most roots!

A nice little corollary of this is that if our base field is infinite (like it is for the most familiar examples) then only the zero polynomial can give us the zero function when we evaluate it at various field elements. That is, if for all , then . This must be true because has an infinite number of roots, and so no finite degree polynomial can possibly have that many roots. The only possibility left is the zero polynomial.

Just to be clear, though, let’s look at this one counterexample. Think about the field we used when we talked about Set. The polynomial is not the zero polynomial, but is the zero function. Indeed , , and , which is divisible by , and so is the same as in this field.

[…] now. Instead of using the absolute value of an integer to measure its size, we’ll use the degree of a polynomial to measure its […]

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[…] Okay, we saw that roots of polynomials exactly correspond to linear factors, and that a polynomial can have at most as many roots as its degree. In fact, there’s an expectation that a polynomial of degree will have exactly roots. Today […]

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Highest degree of polynomial awesomeness!

Comment by marellasunny | July 21, 2012 |