Orthonormal sets #
This file defines orthonormal sets in inner product spaces.
Main results #
- We define
Orthonormal, a predicate on a functionv : ι → E, and prove the existence of a maximal orthonormal set,exists_maximal_orthonormal. - Bessel's inequality,
Orthonormal.tsum_inner_products_le, states that given an orthonormal setvand a vectorx, the sum of the norm-squares of the inner products⟪v i, x⟫is no more than the norm-square ofx.
For the existence of orthonormal bases, Hilbert bases, etc., see the file
Analysis.InnerProductSpace.projection.
An orthonormal set of vectors in an InnerProductSpace
Equations
Instances For
Alias of Orthonormal.nnNorm_eq_one.
if ... then ... else characterization of an indexed set of vectors being orthonormal. (Inner
product equals Kronecker delta.)
if ... then ... else characterization of a set of vectors being orthonormal. (Inner product
equals Kronecker delta.)
The inner product of a linear combination of a set of orthonormal vectors with one of those vectors picks out the coefficient of that vector.
The inner product of a linear combination of a set of orthonormal vectors with one of those vectors picks out the coefficient of that vector.
The inner product of a linear combination of a set of orthonormal vectors with one of those vectors picks out the coefficient of that vector.
The inner product of a linear combination of a set of orthonormal vectors with one of those vectors picks out the coefficient of that vector.
The inner product of a linear combination of a set of orthonormal vectors with one of those vectors picks out the coefficient of that vector.
The inner product of a linear combination of a set of orthonormal vectors with one of those vectors picks out the coefficient of that vector.
The inner product of two linear combinations of a set of orthonormal vectors, expressed as
a sum over the first Finsupp.
The inner product of two linear combinations of a set of orthonormal vectors, expressed as
a sum over the second Finsupp.
The inner product of two linear combinations of a set of orthonormal vectors, expressed as a sum.
The double sum of weighted inner products of pairs of vectors from an orthonormal sequence is the sum of the weights.
An orthonormal set is linearly independent.
A subfamily of an orthonormal family (i.e., a composition with an injective map) is an orthonormal family.
An injective family v : ι → E is orthonormal if and only if Subtype.val : (range v) → E is
orthonormal.
If v : ι → E is an orthonormal family, then Subtype.val : (range v) → E is an orthonormal
family.
A linear combination of some subset of an orthonormal set is orthogonal to other members of the set.
Given an orthonormal family, a second family of vectors is orthonormal if every vector equals the corresponding vector in the original family or its negation.
Given an orthonormal set v of vectors in E, there exists a maximal orthonormal set
containing it.
A family of orthonormal vectors with the correct cardinality forms a basis.
Equations
- basisOfOrthonormalOfCardEqFinrank hv card_eq = basisOfLinearIndependentOfCardEqFinrank ⋯ card_eq
Instances For
A linear isometry preserves the property of being orthonormal.
A linear isometry preserves the property of being orthonormal.
A linear isometric equivalence preserves the property of being orthonormal.
A linear isometric equivalence, applied with Basis.map, preserves the property of being
orthonormal.
A linear map that sends an orthonormal basis to orthonormal vectors is a linear isometry.
Equations
- f.isometryOfOrthonormal hv hf = f.isometryOfInner ⋯
Instances For
A linear equivalence that sends an orthonormal basis to orthonormal vectors is a linear isometric equivalence.
Equations
- f.isometryOfOrthonormal hv hf = f.isometryOfInner ⋯
Instances For
A linear isometric equivalence that sends an orthonormal basis to a given orthonormal basis.
Equations
- hv.equiv hv' e = (v.equiv v' e).isometryOfOrthonormal hv ⋯
Instances For
Bessel's inequality for finite sums.
Bessel's inequality.
The sum defined in Bessel's inequality is summable.