Complete Orthonormal Basis and Complete Orthonormal Set📂Lebesgue Spaces
Complete Orthonormal Basis and Complete Orthonormal Set
Theorem: Equivalence Conditions of an Orthonormal Set
Let {ϕn}1∞ be an orthonormal set of L2(a,b) and denote f∈L2(a,b). Then, the following conditions are equivalent.
(a) For all n, if ⟨f,ϕn⟩=0 then f=0.
(b) For all f∈L2(a,b), the series ∑1∞⟨f,ϕn⟩ϕn converges to f in the norm sense. That is, the following equation holds:
f=1∑∞⟨f,ϕn⟩ϕn
(c) For all f∈L2(a,b), it satisfies the following equation known as Parseval’s equation:
∥f∥2=n=1∑∞∣⟨f,ϕn⟩∣2
Explanation
The orthonormal set satisfying (a)−(c) is called an orthonormal basis or a complete orthonormal set.
Observing these three conditions reveals that the orthonormal basis serves a role equivalent to a basis in finite-dimensional vector spaces.
When {ϕn} is an orthonormal basis, the constants ⟨f,ϕn⟩ are called (generalized) Fourier coefficients.
The series ∑⟨f,ϕn⟩ϕn is referred to as a (generalized) Fourier series.
Lemma
Assume f∈L2(a,b) and that {ϕn} is an orthonormal set in L2(a,b). Then the series ∑⟨f,ϕn⟩ϕn converges in the norm sense. And it satisfies the following inequality:
∑⟨f,ϕn⟩ϕn≤∣f∣
Proof
(a)⟹(b)
Assume (a). Then, by the lemma, ∑⟨f,ϕn⟩ϕn converges in the norm sense. Let’s define the difference of the series as g.