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Polynomial - Elementary properties of polynomials |  | Polynomial - Elementary properties of polynomials: Encyclopedia II - Polynomial - Elementary properties of polynomials |  | All polynomials have an expanded form, in which the distributive law has been used to remove all parentheses. (Some polynomials also have a factored form, in which parentheses appear.) In expanded form, a term of a polynomial is a part of the polynomial that includes only the operation of multiplication (where whole number powers are viewed as repeated multiplication). Every polynomial in expanded form is a sum of terms ...
See also:Polynomial, Polynomial - Elementary properties of polynomials, Polynomial - More advanced examples of polynomials, Polynomial - History, Polynomial - Polynomial functions, Polynomial - Graphs, Polynomial - End behavior, Polynomial - Number of x-intercepts, Polynomial - Number of turning points, Polynomial - Examples, Polynomial - Notes, Polynomial - Roots, Polynomial - Numerical analysis, Polynomial - Polynomials and calculus, Polynomial - Evaluation of polynomials, Polynomial - Finding roots, Polynomial - Several variables, Polynomial - Abstract algebra, Polynomial - Divisibility, Polynomial - More variables |  | | Polynomial, Polynomial - Abstract algebra, Polynomial - Divisibility, Polynomial - Elementary properties of polynomials, Polynomial - End behavior, Polynomial - Evaluation of polynomials, Polynomial - Examples, Polynomial - Finding roots, Polynomial - Graphs, Polynomial - History, Polynomial - More advanced examples of polynomials, Polynomial - More variables, Polynomial - Notes, Polynomial - Number of x-intercepts, Polynomial - Number of turning points, Polynomial - Numerical analysis, Polynomial - Polynomial functions, Polynomial - Polynomials and calculus, Polynomial - Roots, Polynomial - Several variables, Polynomial sequences, Ehrhart polynomials, Hurwitz polynomials, Polynomial interpolation, Binomial type, Sheffer sequence, Spline, Characteristic polynomial, List of polynomial topics |  | |
|  |  | Polynomial: Encyclopedia II - Polynomial - Elementary properties of polynomials
Polynomial - Elementary properties of polynomials
All polynomials have an expanded form, in which the distributive law has been used to remove all parentheses. (Some polynomials also have a factored form, in which parentheses appear.) In expanded form, a term of a polynomial is a part of the polynomial that includes only the operation of multiplication (where whole number powers are viewed as repeated multiplication). Every polynomial in expanded form is a sum of terms (where subtraction is carried out by addition of negative numbers).
Polynomials are classified by their degree and number of variables. The degree of a term in a polynomial is the sum of all of the exponents on all of the variables in that term. (A variable with no exponent is said to have an understood exponent of 1.) The degree of the polynomial is the largest degree of any one term.
Example:
3x(x − y) + z
is equivalent to the expanded form
3x2 − 3xy + z.
In this expanded form, the second term is −3xy and its degree is 2. The polynomial is a second degree polynomial in three variables. If x = 10, y = 5, z = 100 then the evaluation of the polynomial is 250.
Every polynomial in one variable is equivalent to a polynomial with the form
anxn + an−1xn−1 + ... + a2x2 + a1x + a0.
This form is sometimes taken as the definition of a polynomial in one variable.
A form suited for efficient evaluation of the polynomial is the Horner scheme
((...(anx + an−1)x + ... + a2)x + a1)x + a0.
Every polynomial equation is equivalent to an equation in the form of a polynomial equal to zero. When written in this form, the degree of the equation is the degree of the polynomial, and the number of "unknowns" is the number of variables in the polynomial. A system of polynomial equations is a set of equations in which each variable takes on the same value in every equation. Systems of equations are usually grouped with a single open brace on the left.
In elementary algebra, methods are given for solving all first degree and second degree polynomial equations in one unknown. In general, the number of solutions equals the degree, though it is necessary to consider multiplicity.
In elementary algebra, methods are given for solving systems of linear equations in several unknowns. To get a unique solution, the number of equations must equal the number of unknowns. More powerful methods for solving several polynomial equations in several unknowns are given in linear algebra.
Other related archives16th century, root, Abel-Ruffini theorem, Abstract algebra, Alexander polynomial, Binomial type, Characteristic polynomial, Charles Babbage, Chebyshev form, Chebyshev polynomials, Clenshaw algorithm, Complex analysis, Ehrhart polynomials, Eisenstein's criterion, Euclidean domain, Galois theory, Gerolamo Cardano, HOMFLY polynomial, Horner scheme, Hurwitz polynomials, Jones polynomial, List of polynomial topics, Newton's difference method, Niccolo Fontana Tartaglia, Niels Henrik Abel, Numerical analysis, Piecewise, Polynomial interpolation, Polynomial sequences, Polynomials, Quotients, Root-finding_algorithm#Finding_roots_of_polynomials, Sheffer sequence, Spline, Stone-Weierstrass theorem, Taylor's theorem, abstract algebra, algebra, algebraic element, algebraic geometry, algorithms, bases, binomial, canonical, characteristic polynomial, chromatic polynomial, coefficients, commutative, commutative algebra, compact, complex numbers, computer, constant functions, continuous, cubic functions, degree, derivatives, difference engine, differentiable, distributive law, eigenvalues, evaluating, exponential functions, expression, factored, field, finite fields, formal power series, functions, fundamental theorem of algebra, graph, graph theory, hardware, ideals, integral domain, interpolate, interval, irreducible, knot invariants, knot theory, linear algebra, linear functions, logarithms, mathematics, matrix, minimal polynomial, modular arithmetic, monomial, monomial basis, monomial form, multiplicity, multivariate calculus, natural numbers, numerical analysis, numerically integrate, numerically stable, polynomial interpolation, polynomial long division, polynomial ring, prime number, quadratic equation, quadratic functions, quartic functions, quintic functions, rational expressions, rational functions, real numbers, ring, root-finding algorithms, sigma notation, slope, smooth, software, square matrix, term, trigonometric functions, vector space, vertex color
 Adapted from the Wikipedia article "Elementary properties of polynomials", under the G.N U Free Docmentation License. Please also see http://en.wikipedia.org/wiki |
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