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  2. Cauchy–Schwarz inequality - Wikipedia

    en.wikipedia.org/wiki/CauchySchwarz_inequality

    Cauchy–Schwarz inequality (Modified Schwarz inequality for 2-positive maps [27]) — For a 2-positive map between C*-algebras, for all , in its domain, () ‖ ‖ (), ‖ ‖ ‖ ‖ ‖ ‖. Another generalization is a refinement obtained by interpolating between both sides of the Cauchy–Schwarz inequality:

  3. Matrix norm - Wikipedia

    en.wikipedia.org/wiki/Matrix_norm

    Suppose a vector norm ‖ ‖ on and a vector norm ‖ ‖ on are given. Any matrix A induces a linear operator from to with respect to the standard basis, and one defines the corresponding induced norm or operator norm or subordinate norm on the space of all matrices as follows: ‖ ‖, = {‖ ‖: ‖ ‖ =} = {‖ ‖ ‖ ‖:} . where denotes the supremum.

  4. Lagrange's identity - Wikipedia

    en.wikipedia.org/wiki/Lagrange's_identity

    Lagrange's identity for complex numbers has been obtained from a straightforward product identity. A derivation for the reals is obviously even more succinct. Since the Cauchy–Schwarz inequality is a particular case of Lagrange's identity, [4] this proof is yet another way to obtain the CS inequality. Higher order terms in the series produce ...

  5. Cauchy's estimate - Wikipedia

    en.wikipedia.org/wiki/Cauchy's_estimate

    In mathematics, specifically in complex analysis, Cauchy's estimate gives local bounds for the derivatives of a holomorphic function. These bounds are optimal. These bounds are optimal. Cauchy's estimate is also called Cauchy's inequality , but must not be confused with the Cauchy–Schwarz inequality .

  6. Mean value theorem - Wikipedia

    en.wikipedia.org/wiki/Mean_value_theorem

    Cauchy's mean value theorem, also known as the extended mean value theorem, is a generalization of the mean value theorem. [ 6 ] [ 7 ] It states: if the functions f {\displaystyle f} and g {\displaystyle g} are both continuous on the closed interval [ a , b ] {\displaystyle [a,b]} and differentiable on the open interval ( a , b ) {\displaystyle ...

  7. Viktor Bunyakovsky - Wikipedia

    en.wikipedia.org/wiki/Viktor_Bunyakovsky

    He is credited with an early discovery of the Cauchy–Schwarz inequality, proving it for the infinite dimensional case in 1859, many years prior to Hermann Schwarz's research on the subject. Bunyakovsky is an author of Foundations of the mathematical theory of probability (1846). [7] Bunyakovsky published around 150 research papers. [1]

  8. Hilbert C*-module - Wikipedia

    en.wikipedia.org/wiki/Hilbert_C*-module

    The Cauchy–Schwarz inequality implies the inner product is jointly continuous in norm and can therefore be extended to the completion. The action of A {\displaystyle A} on E {\displaystyle E} is continuous: for all x {\displaystyle x} in E {\displaystyle E}

  9. Cauchy's inequality - Wikipedia

    en.wikipedia.org/wiki/Cauchy's_inequality

    Cauchy's inequality may refer to: the Cauchy–Schwarz inequality in a real or complex inner product space Cauchy's estimate , also called Cauchy's inequality, for the Taylor series coefficients of a complex analytic function