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  2. Multiplicity (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Multiplicity_(mathematics)

    This means that 1 is a root of multiplicity 2, and −4 is a simple root (of multiplicity 1). The multiplicity of a root is the number of occurrences of this root in the complete factorization of the polynomial, by means of the fundamental theorem of algebra.

  3. Multiset - Wikipedia

    en.wikipedia.org/wiki/Multiset

    These three multiplicities define three multisets of eigenvalues, which may be all different: Let A be a n × n matrix in Jordan normal form that has a single eigenvalue. Its multiplicity is n, its multiplicity as a root of the minimal polynomial is the size of the largest Jordan block, and its geometric multiplicity is the number of Jordan blocks.

  4. Algebraic number - Wikipedia

    en.wikipedia.org/wiki/Algebraic_number

    For example, the golden ratio, (+) /, is an algebraic number, because it is a root of the polynomial x 2 − x − 1. That is, it is a value for x for which the polynomial evaluates to zero. As another example, the complex number + is algebraic because it is a root of x 4 + 4.

  5. Additive function - Wikipedia

    en.wikipedia.org/wiki/Additive_function

    Examples of arithmetic functions which are completely additive are: The restriction of the logarithmic function to .; The multiplicity of a prime factor p in n, that is the largest exponent m for which p m divides n.

  6. Intersection number - Wikipedia

    en.wikipedia.org/wiki/Intersection_number

    Let X be a Riemann surface.Then the intersection number of two closed curves on X has a simple definition in terms of an integral. For every closed curve c on X (i.e., smooth function :), we can associate a differential form of compact support, the Poincaré dual of c, with the property that integrals along c can be calculated by integrals over X:

  7. Jordan normal form - Wikipedia

    en.wikipedia.org/wiki/Jordan_normal_form

    This shows that the eigenvalues are 1, 2, 4 and 4, according to algebraic multiplicity. The eigenspace corresponding to the eigenvalue 1 can be found by solving the equation Av = λv. It is spanned by the column vector v = (−1, 1, 0, 0) T. Similarly, the eigenspace corresponding to the eigenvalue 2 is spanned by w = (1, −1, 0, 1) T.

  8. Prime omega function - Wikipedia

    en.wikipedia.org/wiki/Prime_omega_function

    In this example we suggest a variant of the summatory functions ():= estimated in the above results for sufficiently large . We then prove an asymptotic formula for the growth of this modified summatory function derived from the asymptotic estimate of S ω ( x ) {\displaystyle S_{\omega }(x)} provided in the formulas in the main subsection of ...

  9. Length of a module - Wikipedia

    en.wikipedia.org/wiki/Length_of_a_module

    The first application was a complete definition of the intersection multiplicity, and, in particular, a statement of Bézout's theorem that asserts that the sum of the multiplicities of the intersection points of n algebraic hypersurfaces in a n-dimensional projective space is either infinite or is exactly the product of the degrees of the ...

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