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  2. Lipschitz continuity - Wikipedia

    en.wikipedia.org/wiki/Lipschitz_continuity

    In mathematical analysis, Lipschitz continuity, named after German mathematician Rudolf Lipschitz, is a strong form of uniform continuity for functions. Intuitively, a Lipschitz continuous function is limited in how fast it can change: there exists a real number such that, for every pair of points on the graph of this function, the absolute ...

  3. Continuous function - Wikipedia

    en.wikipedia.org/wiki/Continuous_function

    e. In mathematics, a continuous function is a function such that a small variation of the argument induces a small variation of the value of the function. This implies there are no abrupt changes in value, known as discontinuities. More precisely, a function is continuous if arbitrarily small changes in its value can be assured by restricting ...

  4. Law of the unconscious statistician - Wikipedia

    en.wikipedia.org/wiki/Law_of_the_unconscious...

    In probability theory and statistics, the law of the unconscious statistician, or LOTUS, is a theorem which expresses the expected value of a function g(X) of a random variable X in terms of g and the probability distribution of X. The form of the law depends on the type of random variable X in question. If the distribution of X is discrete and ...

  5. Intermediate value theorem - Wikipedia

    en.wikipedia.org/wiki/Intermediate_value_theorem

    Intermediate value theorem: Let be a continuous function defined on [,] and let be a number with () < < ().Then there exists some between and such that () =.. In mathematical analysis, the intermediate value theorem states that if is a continuous function whose domain contains the interval [a, b], then it takes on any given value between () and () at some point within the interval.

  6. Probability density function - Wikipedia

    en.wikipedia.org/wiki/Probability_density_function

    This density function is defined as a function of the n variables, such that, for any domain D in the n -dimensional space of the values of the variables X1, ..., Xn, the probability that a realisation of the set variables falls inside the domain D is. If F(x1, ..., xn) = Pr (X1 ≤ x1, ..., Xn ≤ xn) is the cumulative distribution function of ...

  7. Extreme value theorem - Wikipedia

    en.wikipedia.org/wiki/Extreme_value_theorem

    Extreme value theorem. A continuous function on the closed interval showing the absolute max (red) and the absolute min (blue). In calculus, the extreme value theorem states that if a real-valued function is continuous on the closed and bounded interval , then must attain a maximum and a minimum, each at least once.

  8. Real analysis - Wikipedia

    en.wikipedia.org/wiki/Real_analysis

    Real analysis is an area of analysis that studies concepts such as sequences and their limits, continuity, differentiation, integration and sequences of functions. By definition, real analysis focuses on the real numbers, often including positive and negative infinity to form the extended real line.

  9. Continuous functional calculus - Wikipedia

    en.wikipedia.org/wiki/Continuous_functional_calculus

    The continuous functional calculus is an isometric isomorphism into the C*-subalgebra generated by and , that is: [7] for all ; is therefore continuous. Since is a normal element of , the C*-subalgebra generated by and is commutative. In particular, is normal and all elements of a functional calculus commutate. [9]