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  2. Rational root theorem - Wikipedia

    en.wikipedia.org/wiki/Rational_root_theorem

    In the polynomial + the only possible rational roots would have a numerator that divides 6 and a denominator that divides 1, limiting the possibilities to ±1, ±2, ±3, and ±6. Of these, 1, 2, and –3 equate the polynomial to zero, and hence are its rational roots (in fact these are its only roots since a cubic polynomial has only three roots).

  3. Factorization - Wikipedia

    en.wikipedia.org/wiki/Factorization

    Thus solving P(x) = 0 is reduced to the simpler problems of solving Q(x) = 0 and R(x) = 0. Conversely, the factor theorem asserts that, if r is a root of P(x) = 0, then P(x) may be factored as = (), where Q(x) is the quotient of Euclidean division of P(x) = 0 by the linear (degree one) factor x – r. If the coefficients of P(x) are real or ...

  4. Factor theorem - Wikipedia

    en.wikipedia.org/wiki/Factor_theorem

    In algebra, the factor theorem connects polynomial factors with polynomial roots. Specifically, if f ( x ) {\displaystyle f(x)} is a polynomial, then x − a {\displaystyle x-a} is a factor of f ( x ) {\displaystyle f(x)} if and only if f ( a ) = 0 {\displaystyle f(a)=0} (that is, a {\displaystyle a} is a root of the polynomial).

  5. Polynomial evaluation - Wikipedia

    en.wikipedia.org/wiki/Polynomial_evaluation

    Horner's method evaluates a polynomial using repeated bracketing: + + + + + = + (+ (+ (+ + (+)))). This method reduces the number of multiplications and additions to just Horner's method is so common that a computer instruction "multiply–accumulate operation" has been added to many computer processors, which allow doing the addition and multiplication operations in one combined step.

  6. Frobenius normal form - Wikipedia

    en.wikipedia.org/wiki/Frobenius_normal_form

    Given a polynomial P ∈ F[X], there is associated to it a companion matrix C P whose characteristic polynomial and minimal polynomial are both equal to P. Theorem: Let V be a finite-dimensional vector space over a field F, and A a square matrix over F. Then V (viewed as an F[X]-module with the action of X given by A) admits a F[X]-module ...

  7. Sinc function - Wikipedia

    en.wikipedia.org/wiki/Sinc_function

    In either case, the value at x = 0 is defined to be the limiting value ⁡:= ⁡ = for all real a ≠ 0 (the limit can be proven using the squeeze theorem). The normalization causes the definite integral of the function over the real numbers to equal 1 (whereas the same integral of the unnormalized sinc function has a value of π ).

  8. Lagrange's theorem (number theory) - Wikipedia

    en.wikipedia.org/wiki/Lagrange's_theorem_(number...

    If p is not prime, then there can potentially be more than deg f(x) solutions. Consider for example p=8 and the polynomial f(x)=x 2 -1 , where 1, 3, 5, 7 are all solutions. Proof

  9. Square (algebra) - Wikipedia

    en.wikipedia.org/wiki/Square_(algebra)

    For instance, the square of the linear polynomial x + 1 is the quadratic polynomial (x + 1) 2 = x 2 + 2x + 1. One of the important properties of squaring, for numbers as well as in many other mathematical systems, is that (for all numbers x), the square of x is the same as the square of its additive inverse −x.