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Continuous function; Absolutely continuous function; Absolute continuity of a measure with respect to another measure; Continuous probability distribution: Sometimes this term is used to mean a probability distribution whose cumulative distribution function (c.d.f.) is (simply) continuous.
This notion of continuity is the same as topological continuity when the partially ordered sets are given the Scott topology. [ 19 ] [ 20 ] In category theory , a functor F : C → D {\displaystyle F:{\mathcal {C}}\to {\mathcal {D}}} between two categories is called continuous if it commutes with small limits .
A periodic motion is a closed curve in phase space. That is, for some period, ′ = (,), = (). The textbook example of a periodic motion is the undamped pendulum.. If the phase space is periodic in one or more coordinates, say () = (+), with a vector [clarification needed], then there is a second kind of periodic motions defined by
A sublinear modulus of continuity can easily be found for any uniformly continuous function which is a bounded perturbation of a Lipschitz function: if f is a uniformly continuous function with modulus of continuity ω, and g is a k Lipschitz function with uniform distance r from f, then f admits the sublinear module of continuity min{ω(t), 2r ...
In practice, showing the equicontinuity is often not so difficult. For example, if the sequence consists of differentiable functions or functions with some regularity (e.g., the functions are solutions of a differential equation), then the mean value theorem or some other kinds of estimates can be used to show the sequence is equicontinuous.
In this case, Y is the set of real numbers R with the standard metric d Y (y 1, y 2) = |y 1 − y 2 |, and X is a subset of R. In general, the inequality is (trivially) satisfied if x 1 = x 2. Otherwise, one can equivalently define a function to be Lipschitz continuous if and only if there exists a constant K ≥ 0 such that, for all x 1 ≠ x 2,
The continuity of in the maximum theorem is the result of combining two independent theorems together. Theorem 1 . [ 9 ] [ 10 ] [ 11 ] If f {\displaystyle f} is upper semicontinuous and C {\displaystyle C} is upper hemicontinuous, nonempty and compact-valued, then f ∗ {\displaystyle f^{*}} is upper semicontinuous.
Before the ready availability of statistical software having the ability to evaluate probability distribution functions accurately, continuity corrections played an important role in the practical application of statistical tests in which the test statistic has a discrete distribution: it had a special importance for manual calculations.