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  2. Lipschitz continuity - Wikipedia

    en.wikipedia.org/wiki/Lipschitz_continuity

    The function f(x) = √ x defined on [0, 1] is not Lipschitz continuous. This function becomes infinitely steep as x approaches 0 since its derivative becomes infinite. However, it is uniformly continuous, [8] and both Hölder continuous of class C 0, α for α ≤ 1/2 and also absolutely continuous on [0, 1] (both of which imply the former).

  3. Continuous function - Wikipedia

    en.wikipedia.org/wiki/Continuous_function

    A function f with variable x is continuous at the real number c, if the limit of (), as x tends to c, is equal to (). There are several different definitions of the (global) continuity of a function, which depend on the nature of its domain .

  4. Closed graph theorem - Wikipedia

    en.wikipedia.org/wiki/Closed_graph_theorem

    So, if the open mapping theorem holds for ; i.e., is an open mapping, then is continuous and then is continuous (as the composition of continuous maps). For example, the above argument applies if f {\displaystyle f} is a linear operator between Banach spaces with closed graph, or if f {\displaystyle f} is a map with closed graph between compact ...

  5. Volterra's function - Wikipedia

    en.wikipedia.org/wiki/Volterra's_function

    The construction of V begins by determining the largest value of x in the interval [0, 1/8] for which f ′(x) = 0. Once this value (say x 0) is determined, extend the function to the right with a constant value of f(x 0) up to and including the point 1/8. Once this is done, a mirror image of the function can be created starting at the point 1/ ...

  6. Modulus of continuity - Wikipedia

    en.wikipedia.org/wiki/Modulus_of_continuity

    In general, the modulus of continuity of a uniformly continuous function on a metric space needs to take the value +∞. For instance, the function f : N → R such that f(n) := n 2 is uniformly continuous with respect to the discrete metric on N, and its minimal modulus of continuity is ω f (t) = +∞ for any t≥1, and ω f (t) = 0 otherwise ...

  7. Brouwer fixed-point theorem - Wikipedia

    en.wikipedia.org/wiki/Brouwer_fixed-point_theorem

    By construction X is a continuous vector field on the unit sphere of W, satisfying the tangency condition y ⋅ X (y) = 0. Moreover, X ( y ) is nowhere vanishing (because, if x has norm 1, then x ⋅ w ( x ) is non-zero; while if x has norm strictly less than 1, then t and w ( x ) are both non-zero).

  8. Tietze extension theorem - Wikipedia

    en.wikipedia.org/wiki/Tietze_extension_theorem

    Since the space of continuous functions on together with the sup norm is a complete metric space, it follows that there exists a continuous function : such that converges uniformly to . Since | fF n | ≤ 2 n c 0 3 n + 1 {\displaystyle |f-F_{n}|\leq {\frac {2^{n}c_{0}}{3^{n+1}}}} on A {\displaystyle A} , it follows that F = f ...

  9. Absolute continuity - Wikipedia

    en.wikipedia.org/wiki/Absolute_continuity

    More generally, the measure μ is assumed to be locally finite (rather than finite) and F(x) is defined as μ((0,x]) for x > 0, 0 for x = 0, and −μ((x,0]) for x < 0. In this case μ is the Lebesgue–Stieltjes measure generated by F. [17] The relation between the two notions of absolute continuity still holds. [18]