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  2. Singular measure - Wikipedia

    en.wikipedia.org/wiki/Singular_measure

    As a particular case, a measure defined on the Euclidean space is called singular, if it is singular with respect to the Lebesgue measure on this space. For example, the Dirac delta function is a singular measure. Example. A discrete measure.

  3. Doubling space - Wikipedia

    en.wikipedia.org/wiki/Doubling_space

    A simple example of a doubling measure is Lebesgue measure on a Euclidean space. One can, however, have doubling measures on Euclidean space that are singular with respect to Lebesgue measure. One example on the real line is the weak limit of the following sequence of measures: [ 9 ]

  4. Singular value - Wikipedia

    en.wikipedia.org/wiki/Singular_value

    If T acts on Euclidean space , there is a simple geometric interpretation for the singular values: Consider the image by of the unit sphere; this is an ellipsoid, and the lengths of its semi-axes are the singular values of (the figure provides an example in ).

  5. Lebesgue measure - Wikipedia

    en.wikipedia.org/wiki/Lebesgue_measure

    In measure theory, a branch of mathematics, the Lebesgue measure, named after French mathematician Henri Lebesgue, is the standard way of assigning a measure to subsets of higher dimensional Euclidean n-spaces. For lower dimensions n = 1, 2, or 3, it coincides with the standard measure of length, area, or volume.

  6. Measure (mathematics) - Wikipedia

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

    Such a measure is called a probability measure or distribution. See the list of probability distributions for instances. The Dirac measure δ a (cf. Dirac delta function) is given by δ a (S) = χ S (a), where χ S is the indicator function of . The measure of a set is 1 if it contains the point and 0 otherwise.

  7. Dirac measure - Wikipedia

    en.wikipedia.org/wiki/Dirac_measure

    Furthermore, δ x is the only probability measure whose support is {x}. If X is n-dimensional Euclidean space R n with its usual σ-algebra and n-dimensional Lebesgue measure λ n, then δ x is a singular measure with respect to λ n: simply decompose R n as A = R n \ {x} and B = {x} and observe that δ x (A) = λ n (B) = 0. The Dirac measure ...

  8. Not all companies are backing away from DEI in the new Trump era

    www.aol.com/finance/not-companies-backing-away...

    The measure was roundly defeated, with 98% of investors siding with the company. "Our position on these issues is not new," Costco’s board chairman Tony James said about the company’s DEI ...

  9. Lebesgue's decomposition theorem - Wikipedia

    en.wikipedia.org/wiki/Lebesgue's_decomposition...

    Hence (singular continuous measures aside), Lebesgue decomposition gives a very explicit description of measures. The Cantor measure (the probability measure on the real line whose cumulative distribution function is the Cantor function) is an example of a singular continuous measure.