Lp Spaces - Core Definitions
The spaces are fundamental function spaces in analysis, providing natural settings for studying integration, convergence, and functional analysis. They generalize the notion of square-integrable functions to -th power integrable functions.
Let be a measure space and . The space (or simply or ) consists of all measurable functions (or ) such that:
More precisely, consists of equivalence classes of functions that are equal almost everywhere. The norm is defined by:
For , consists of essentially bounded functions:
with norm , called the essential supremum.
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: Integrable functions on . Includes near .
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: Square-integrable functions. This is a Hilbert space with inner product . The function is NOT in .
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: Essentially bounded functions. Includes all continuous functions on .
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: When with counting measure, consists of sequences with:
Key observations about spaces:
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Inclusion relations: If and , then . The reverse inclusion holds for counting measure on .
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is special: is the only space (for ) that is a Hilbert space. It has an inner product structure that makes it particularly amenable to geometric intuition.
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Completeness: All spaces are complete, meaning every Cauchy sequence converges to an element in . This makes them Banach spaces.
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Duality: The dual space of (for ) is where . The functional for represents all bounded linear functionals on .