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  2. Lipschitz continuity - Wikipedia

    en.wikipedia.org/wiki/Lipschitz_continuity

    In the theory of differential equations, Lipschitz continuity is the central condition of the Picard–Lindelöf theorem which guarantees the existence and uniqueness of the solution to an initial value problem. A special type of Lipschitz continuity, called contraction, is used in the Banach fixed-point theorem. [2]

  3. Fixed-point computation - Wikipedia

    en.wikipedia.org/wiki/Fixed-point_computation

    A Lipschitz-continuous function with constant is called contractive if <; it is called weakly-contractive if . Every contractive function satisfying Brouwer's conditions has a unique fixed point. Moreover, fixed-point computation for contractive functions is easier than for general functions.

  4. Continuous function - Wikipedia

    en.wikipedia.org/wiki/Continuous_function

    For a Lipschitz continuous function, there is a double cone (shown in white) whose vertex can be translated along the graph so that the graph always remains entirely outside the cone. The concept of continuity for functions between metric spaces can be strengthened in various ways by limiting the way δ {\displaystyle \delta } depends on ε ...

  5. Picard–Lindelöf theorem - Wikipedia

    en.wikipedia.org/wiki/Picard–Lindelöf_theorem

    The Peano existence theorem shows only existence, not uniqueness, but it assumes only that f is continuous in y, instead of Lipschitz continuous. For example, the right-hand side of the equation ⁠ dy / dt ⁠ = y ⁠ 1 / 3 ⁠ with initial condition y(0) = 0 is continuous but not Lipschitz continuous.

  6. Modulus of continuity - Wikipedia

    en.wikipedia.org/wiki/Modulus_of_continuity

    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 ...

  7. Contraction mapping - Wikipedia

    en.wikipedia.org/wiki/Contraction_mapping

    The smallest such value of k is called the Lipschitz constant of f. Contractive maps are sometimes called Lipschitzian maps. If the above condition is instead satisfied for k ≤ 1, then the mapping is said to be a non-expansive map. More generally, the idea of a contractive mapping can be defined for maps between metric spaces.

  8. Kirszbraun theorem - Wikipedia

    en.wikipedia.org/wiki/Kirszbraun_theorem

    is a Lipschitz-continuous map, then there is a Lipschitz-continuous map : that extends f and has the same Lipschitz constant as f. Note that this result in particular applies to Euclidean spaces E n and E m, and it was in this form that Kirszbraun originally formulated and proved the theorem. [1]

  9. Lipschitz domain - Wikipedia

    en.wikipedia.org/wiki/Lipschitz_domain

    Lipschitz domains in the sense above are sometimes called strongly Lipschitz by contrast with weakly Lipschitz domains. A domain Ω {\displaystyle \Omega } is weakly Lipschitz if for every point p ∈ ∂ Ω , {\displaystyle p\in \partial \Omega ,} there exists a radius r > 0 {\displaystyle r>0} and a map ℓ p : B r ( p ) → Q {\displaystyle ...