Polynomial

From Citizendium
Revision as of 09:47, 1 April 2007 by imported>Sébastien Moulin (New article : writing the basics (not finished))
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

In algebra, a polynomial is, roughly speaking, an formal expression obtained from constant numbers and one or several unspecified numbers called "variables", denoted by letters like , , etc., by making a finite number of additions, subtractions and multiplications. For instance, and are polynomials of one variable, whereas is a polynomial of two variables. Expressions like or are not polynomials ; the first one is a rational fraction, and the second one is an irrational expression, due to the square root symbol. Let us remark however that any operation may be allowed between constant numbers (including fractions or taking square root), as the example suggests.

It may be convenient to think of a polynomial as a function of its variables, that is, or . Such a function is called a polynomial function. But in reality, both concepts are different, the unspecified variables being purely formal entities when one thinks of an abstract polynomial, whereas they are meant to be replaced by any number when one thinks of a function. The distinction is important in abstract algebra, because what we have called "constant numbers" is more generally replaced by any ring, and for some rings the two concepts cannot be identified. There is not such a problem with polynomials over rings of usual numbers like integers, rational, real or complex numbers. Still it is important to understand that calculations with polynomials can be conceived in an only formal way, without giving any special ontological status to the variables. To make the distinction clear, it is common in algebra to denote the abstract variables with capital letters (, , etc.), while variables of functions are still denoted with lowercase letters. We will use this convention in what follows.

Polynomials of one variable

In this section we deal with the simplest case, that is, polynomials of only one variable, denoted . The "constant numbers" are the element of any commutative ring . The reader who is not accustomed to abstract algebra may replace by a familiar set of numbers, like the set of the real numbers, as it is the case in the example above, and still can grasp most of what follows.

Definition

Let us consider some expressions like , , or . We can write all of them as follows:

This suggests that a polynomial can be entirely defined by giving a sequence of numbers, which are called its coefficients, all of them being zero from some rank. For instance the three polynomials above can be written respectively , , and , the dots meaning the sequence continues with an infinity of zeros. This leads to the definition below.

Definition. A polynomial , over the ring is a sequence of elements of , called the coefficients of , this sequence containing only a finite number of nonzero terms. The rank of the last nonzero term is called the degree of the polynomial.

Hence, the degrees of the three polynomials given above are respectively 2, 3 and 5. By convention, the degree of is set to .

This definition may surprise the reader, because in reality, one thinks of a polynomial as an expression of the form rather than . We will progressively show how to return to this usual way of writing a polynomial. First, we identify any element of the ring to the polynomial . For instance, we write only instead of the cumbersome , (or in the familiar fashion ).

Secondly, we merely denote by the polynomial

.

This is natural, as in the familiar fashion this sequence corresponds to It remains to give a sense to , , etc. This will be made in the next two subsections.

Calculation rules

We now define addition and multiplication of polynomials, beginning with addition, which is easy.

Addition

With the traditional notation, if we have and , we want to have , that is, one wants to add coefficients separately for each degree. This leads to the formal definition below.

Definition. Given two polynomials and , the sum is defined by .

Multiplication

Multiplication is harder to define. Let us begin with an example using traditional notation. For and , we want to have

;
;
.

One can observe that the coefficient of say, , is obtained by adding , and , that is, by adding all the so that , where the denote the coefficients of and the those of . Those mechanics lead to give the definition below.

Definition. Given two polynomials and , the product is defined by , where for every index , the coefficient is given by .

The reader which is upset by those cumbersome notations should just retain that this definition allows to multiply polynomials (considered as mere sequences of coefficients) as one is used to do in elementary algebra (using the traditional notation, as in the example). The only striking fact is that in our construction, does not represent a number, but a pure abstract entity for which we have defined some rules of calculation.

The algebra

With the definition above, one can verify that the product of the polynomial par itself, that is , is the sequence . More generally, for each natural number , one can verify that the -th power of is given by , where the is the coefficient of index and all other coefficients are zeros. In particular, we have the usual convention , which we identified to the constant .

Now, any polynomial is exactly equal to , where the addition and the powers (which are mere repetitions of multiplications) are defined as in the preceding subsection. Our whole construction legitimates the traditional notation, and from now on, we will only use the later, with which calculations use natural rules of elementary algebra. It is however important to remember that the "variable" did not denote some number in our construction, but a particular sequence of coefficients. We have succeeded in defining polynomials in a purely formal manner.

Operations and degree: the algebra

Polynomial function

Arithmetics

Polynomials of several variables

Applications of polynomials