Orthonormal sets #
This file defines orthonormal sets in inner product spaces.
Main results #
- We define
Orthonormal
, a predicate on a functionv : ฮน โ 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 setv
and a vectorx
, the sum of the norm-squares of the inner productsโชv i, xโซ
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
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 : ฮน โ E
is orthonormal if and only if Subtype.val : (range v) โ E
is
orthonormal.
If v : ฮน โ E
is an orthonormal family, then Subtype.val : (range v) โ 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 โฏ 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 โฏ
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 โฏ
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 โฏ
Instances For
Bessel's inequality for finite sums.
Bessel's inequality.
The sum defined in Bessel's inequality is summable.