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The polynomial x 2 + cx + d, where a + b = c and ab = d, can be factorized into (x + a)(x + b).. In mathematics, factorization (or factorisation, see English spelling differences) or factoring consists of writing a number or another mathematical object as a product of several factors, usually smaller or simpler objects of the same kind.
In mathematics, a coefficient is a multiplicative factor involved in some term of a polynomial, a series, or any other type of expression. It may be a number without units, in which case it is known as a numerical factor. [1] It may also be a constant with units of measurement, in which it is known as a constant multiplier. [1]
Two problems where the factor theorem is commonly applied are those of factoring a polynomial and finding the roots of a polynomial equation; it is a direct consequence of the theorem that these problems are essentially equivalent.
Grouping the prime factors of the factorial into prime powers in different ways produces the multiplicative partitions of factorials. [ 56 ] The special case of Legendre's formula for p = 5 {\displaystyle p=5} gives the number of trailing zeros in the decimal representation of the factorials. [ 57 ]
Let () be a polynomial equation, where P is a univariate polynomial of degree n. If one divides all coefficients of P by its leading coefficient c n , {\displaystyle c_{n},} one obtains a new polynomial equation that has the same solutions and consists to equate to zero a monic polynomial.
However two slightly different definitions are common. 1. A ⊂ B {\displaystyle A\subset B} may mean that A is a subset of B , and is possibly equal to B ; that is, every element of A belongs to B ; expressed as a formula, ∀ x , x ∈ A ⇒ x ∈ B {\displaystyle \forall {}x,\,x\in A\Rightarrow x\in B} .
def – define or definition. deg – degree of a polynomial, or other recursively-defined objects such as well-formed formulas. (Also written as ∂.) del – del, a differential operator. (Also written as.) det – determinant of a matrix or linear transformation. DFT – discrete Fourier transform.
In mathematics, a polynomial is a mathematical expression consisting of indeterminates (also called variables) and coefficients, that involves only the operations of addition, subtraction, multiplication and exponentiation to nonnegative integer powers, and has a finite number of terms.