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The norm descends to the quotient and makes a normed space for
Statement
Let be a measure space.
- For , the rule is well defined on the quotient classes.
- For , the rule is well defined.
- In either case, with the quotient vector-space operations of Coset equality, well-defined quotient operations, and the canonical projection with kernel , the resulting pair is a normed space in the sense of A norm on a real vector space, the induced metric, and the dictionary with the metric axioms.
Facts & Assumptions
Given: A measure space and an exponent .
The quotient spaces are those of The space as the quotient by null functions.
The null representatives are exactly the zero-seminorm class (Null functions form a linear subspace and are exactly the zero-seminorm class).
Minkowski's inequality supplies the triangle inequality for the representative seminorms (Minkowski's inequality for integrals, including ).
The essential supremum is an attained essential bound (The essential supremum is attained as the least essential bound).
The quotient operations are well defined and produce a vector space (Coset equality, well-defined quotient operations, and the canonical projection with kernel ).
A normed space means a real vector space with separation, homogeneity, and triangle inequality (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).
Proof
Suppose first and . Then . Applying Minkowski twice yields [L2, L3] so . Thus is well defined.
For , if then almost everywhere. Any essential bound for is therefore an essential bound for and conversely, so . Thus is well defined.
For separation, means , and then [L2] gives or . Hence . The converse is immediate because the zero representative has norm .
By [L1] and [L5], each quotient is already a real vector space. The representative functionals are homogeneous, and [L3] supplies the triangle inequality on representatives; steps 1.1 and 1.2 show that these formulas depend only on the class, so homogeneity and triangle inequality descend to the quotient.
Steps 2.1 and 1.3 verify the three norm axioms named in [L6]. Therefore is a normed space for every .
Depends on
- The space $L^p(\mu)$ as the quotient by null functions
- A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
- Null functions form a linear subspace and are exactly the zero-seminorm class
- Minkowski's inequality for integrals, including $p = \infty$
- The essential supremum is attained as the least essential bound
- Coset equality, well-defined quotient operations, and the canonical projection with kernel $W$
Used by
- Convergence in Lᵖ implies convergence in measure Corollary
- Deterministic Ito integrals are Gaussian Corollary
- Lᵖ is uniformly convex for 1<p<∞ Corollary
- Weak differentiation has a closed graph on its natural domains Corollary
- A bounded linear functional on Lᵖ(μ) and its operator norm Definition
- Integer-order Sobolev spaces and their norms Definition
- Ito integral for square-integrable predictable processes Definition
- Weights, their associated measures, and the spaces Lᵖ(w) Definition
- Dunford--Pettis: dominated and concentrating families Example
- Spectrum of a multiplication operator Example
- A closed L2 subspace with trivial orthogonal complement fills L2 Lemma
- Bounded restriction and cutoff localisation in Sobolev spaces Lemma
- Clarkson inequalities in both exponent ranges Lemma
- For 1 < p < ∞, the Lᵖ norm of a nonnegative function is the supremum of its pairings with L^q unit vectors Lemma
- L¹ of an LCA group is a commutative Banach star algebra under convolution Lemma
- L² with the integral pairing is a Hilbert space Lemma
- The elliptic form is well defined and bounded on H¹ Lemma
- The general Ito integral is well defined Lemma
- The Sobolev norm descends to equivalence classes Lemma
- The Sobolev space H¹ is a Hilbert space Lemma
- Well-definedness of the Slobodeckij seminorm and norm Lemma
- Ergodic averages are measurable, representative independent, and Lp contractive Proposition
- On a semifinite measure space, a representing L^q function is unique Proposition
- The classical Lᵖ spaces are Banach spaces Remark
- Density of elementary predictable processes in predictable L2 Theorem
- Dunford--Pettis for real L¹ on a finite measure space Theorem
- Hᵏ is a Hilbert space under the derivative-sum inner product Theorem
- Ito isometry and linearity in predictable L2 Theorem
- Koopman operators are linear isometries Theorem
- L^∞[0,1] is not separable Theorem
- L¹[0,1] fails the Radon--Nikodym property Theorem
- Plancherel isometric extension on LCA groups Theorem
- Riesz-Fischer completeness of Lᵖ for 1 ≤ p ≤ ∞ Theorem
- The parallelogram law in L² Theorem
Dependency tree · two levels
34 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Sheldon Axler, Measure, Integration & Real Analysis, Definition 7.17 and Theorem 7.18 (standard reference, not scraped)
- John K. Hunter, Measure Theory, Sections 7.1 and 7.4 (standard reference, not scraped)