Euclidean and Hermitian spaces
- Euclidean vector spaces
- Hermitian vector spaces
- Dual isomorphism in the Euclidean case
- Orthogonal complement
- Cauchy-Schwarz inequality
DefinitionNorm#
(Semi)norm constructed from a PreInnerProductSpace.Core structure, defined to be the square
root of the scalar product.
InnerProductSpace.Core.toNorm.{u_1, u_3} {π : Type u_1} {F : Type u_3} [RCLike π] [AddCommGroup F]
[_root_.Module π F] [c : PreInnerProductSpace.Core π F] : Norm F
Sources
Sources
Uses 3 Β· Used by 1
Statement usesAssociative algebra over a commutative ring Β· Completeness Β· Metric space
Used byRiemannian manifold
TheoremOrthonormal bases#
An orthonormal set in a finite-dimensional InnerProductSpace is maximal, if and only if it
is a basis.
maximal_orthonormal_iff_basis_of_finiteDimensional.{u_1, u_2} {π : Type u_1} {E : Type u_2}
[RCLike π] [NormedAddCommGroup E] [InnerProductSpace π E] {v : Set E} [FiniteDimensional π E]
(hv : Orthonormal π Subtype.val) :
(β u β v, Orthonormal π Subtype.val β u = v) β β b, βb = Subtype.val
Sources
Sources
- Mathlib documentation:
maximal_orthonormal_iff_basis_of_finiteDimensional - Source of
maximal_orthonormal_iff_basis_of_finiteDimensionalin Mathlib/Analysis/InnerProductSpace/Projection/FiniteDimensional.lean - Mathlib undergraduate list: Bilinear and Quadratic Forms Over a Vector Space βΊ Euclidean and Hermitian spaces
Uses 7
Statement usesBasis Β· Finite-dimensionality Β· Inner product space, over \(R\) or \(C\)
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