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polynomial
polynomial
polynomial A formal power series, i.e. a sum of multiples of powers of an independent variable known as the
indeterminate (often written as
x,
s, or
t), e.g. 3
x4 + 7
x2 + 2
x + 5
or, in general,
The coefficients (
ai) are elements of some algebraic system,
S, having appropriate addition and multiplication operations; the expression is then described as a polynomial over
S. For example, if the coefficients are all integers, the polynomial is said to be over the integers. If
ar ≠ 0 but
ai = 0 for all
i >
r, then
r is called the
degree of the polynomial, usually written
r = deg (
p)
If
ar = 1, the polynomial is
monic.
Arithmetic on polynomials consists primarily of addition, subtraction, and multiplication of polynomials; in some cases division, factoring, and taking the greatest common divisor are also important operations.
Addition and subtraction are done by adding or subtracting the coefficients of like powers of
x.
Multiplication is done by the rule (
arxr + …
a1x +
a0)(
bsxs + …
b1x +
b0) = (
cr+sxr+s + …
c1x +
c0)
where
ck =
a0bk +
a1bk–1 + …
ak–1b1 +
akb0 ai,
bj = 0 for
i >
r,
j >
sIn coding theory, much use is made of polynomials over the
ring of integers modulo
q, for some integer
q > 1. Such polynomials themselves form a commutative
ring with an identity. More particularly, coding theory employs polynomials over the
field of integers modulo
p, for some suitable prime number
p. (For binary systems,
p = 2.) These polynomials can be multiplied and divided; in general, they may be factorized. A polynomial (over a field) that can be factorized is said to be
reducible; otherwise it is
irreducible. When divided by another, a polynomial over a field gives a unique quotient and remainder. Every such polynomial can be uniquely factorized into irreducible factors.
The set of polynomials (over a field), modulo a given monic irreducible polynomial (over the same field), itself forms a field; this is called an
extension field of the original
base field of coefficients (which were integers modulo
p). Extension fields of this kind are fundamental to much of coding theory.
The extension field of polynomials modulo
G, over the integers modulo
p, contains
pg elements, where
g is the degree of
G.
G is called the
generating polynomial of the extension field. A polynomial that is an element of this field is said to be
primitive if and only if it does not exactly divide the polynomial
xc – 1 (over the field of integers modulo
p) for any
c less than
pg – 1.
A practical problem of some importance is to find all the values of
x that satisfy the equation
pn(
x) = 0
where
pn(
x) is a
polynomial equation of degree
n. Such equations have
n solutions, called
roots, which in general are complex. If the given coefficients
ai are real the complex roots occur in conjugate pairs. It is quite common for some of the roots to be very sensitive to small changes in the coefficients, i.e. to have a large
condition number.
A single root α may be found by an iteration such as
Newton's method or the
secant method. The polynomial
pn–1(
x) =
pn(
x)/(
x – α)
has the same roots as
pn except for α; it may be used to determine the other roots. The process of calculating
pn–1 is known as
deflation, and is used after each root is found; thus the polynomials used are of progressively lower degree. Deflation depends on the roots being accurate. If an approximate root is used, the deflated polynomial will have inaccurate coefficients, and possibly very inaccurate roots. To minimize deterioration of the successive polynomials used, it is important to determine each root to the greatest possible precision and, where feasible, to determine the roots in increasing order of magnitude.
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polynomial space
Book article from: A Dictionary of Computing
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polynomial time
Book article from: A Dictionary of Computing
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cycle index polynomial
Book article from: A Dictionary of Computing
cycle index polynomial A formal polynomial associated with a group of permutations on a set, indicating the decomposition of the permutations into cycles . Such polynomials occur for example in switching theory .
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