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Lebesgue space information


Lebesgue space may refer to:

  • Lp space, a special Banach space of functions (or rather, equivalence classes of functions)
  • Standard probability space, a non-pathological probability space

and 23 Related for: Lebesgue space information

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Lebesgue space

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Lebesgue space may refer to: Lp space, a special Banach space of functions (or rather, equivalence classes of functions) Standard probability space, a...

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Lebesgue integration

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to integrate on spaces more general than the real line. The Lebesgue integral provides the necessary abstractions for this. The Lebesgue integral plays...

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Lp space

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finite-dimensional vector spaces. They are sometimes called Lebesgue spaces, named after Henri Lebesgue (Dunford & Schwartz 1958, III.3), although according...

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Standard probability space

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probability space, also called Lebesgue–Rokhlin probability space or just Lebesgue space (the latter term is ambiguous) is a probability space satisfying...

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Henri Lebesgue

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measure Lebesgue's number lemma Lebesgue point Lebesgue space Lebesgue spine Lebesgue's universal covering problem Lebesgue–Rokhlin probability space Lebesgue–Stieltjes...

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Sobolev space

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-norm. It is therefore important to develop a tool for differentiating Lebesgue space functions. The integration by parts formula yields that for every u...

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Lebesgue covering dimension

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Lebesgue covering dimension or topological dimension of a topological space is one of several different ways of defining the dimension of the space in...

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Lebesgue measure

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measure theory, a branch of mathematics, the Lebesgue measure, named after French mathematician Henri Lebesgue, is the standard way of assigning a measure...

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Hilbert space

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The Lebesgue spaces appear in many natural settings. The spaces L2(R) and L2([0,1]) of square-integrable functions with respect to the Lebesgue measure...

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Banach space

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It follows, for example, that the Lebesgue space L p ( [ 0 , 1 ] ) {\displaystyle L^{p}([0,1])} is a Hilbert space only when p = 2. {\displaystyle p=2...

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Euclidean space

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Euclidean space is the fundamental space of geometry, intended to represent physical space. Originally, in Euclid's Elements, it was the three-dimensional...

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Vector space

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infinite-dimensional vector spaces. An important development of vector spaces is due to the construction of function spaces by Henri Lebesgue. This was later formalized...

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Dominated convergence theorem

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Lebesgue's dominated convergence theorem. Let ( f n ) {\displaystyle (f_{n})} be a sequence of complex-valued measurable functions on a measure space...

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Null set

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In mathematical analysis, a null set is a Lebesgue measurable set of real numbers that has measure zero. This can be characterized as a set that can be...

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Measurable function

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are used in the definition of the Lebesgue integral. In probability theory, a measurable function on a probability space is known as a random variable. Let...

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Equilateral dimension

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equilateral dimension has been particularly studied for Lebesgue spaces, finite-dimensional normed vector spaces with the L p {\displaystyle L^{p}} norm   ‖ x ‖...

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List of things named after Henri Lebesgue

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Lebesgue differentiation theorem Lebesgue integration Lebesgue measure Infinite-dimensional Lebesgue measure Lebesgue point Lebesgue space Lebesgue–Rokhlin...

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Complete measure

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problem of product spaces. Suppose that we have already constructed Lebesgue measure on the real line: denote this measure space by ( R , B , λ ) . {\displaystyle...

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Lebesgue differentiation theorem

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In mathematics, the Lebesgue differentiation theorem is a theorem of real analysis, which states that for almost every point, the value of an integrable...

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Normed vector space

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|f(x)|^{p}\;dx\right)^{1/p}} is a seminorm on the vector space of all functions on which the Lebesgue integral on the right hand side is defined and finite...

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Riemann integral

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justify than in Lebesgue integration. It is easy to extend the Riemann integral to functions with values in the Euclidean vector space R n {\displaystyle...

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Dimension

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the dimension as vector space is finite if and only if its Krull dimension is 0. For any normal topological space X, the Lebesgue covering dimension of...

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Separable space

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\mathbb {R} } is separable. The Lebesgue spaces L p ( X , μ ) {\displaystyle L^{p}\left(X,\mu \right)} , over a measure space ⟨ X , M , μ ⟩ {\displaystyle...

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