How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
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- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
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.
Statement references
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 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 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
The essential supremum is attained as the least essential bound
Coset equality, well-defined quotient operations, and the canonical projection with kernel