TheoremBase

Inner Products Against Finite Sums, and Orthonormal Families, in a Real Inner Product Space

The inner product distributes over finite sums and linear combinations; for an orthonormal tuple the coefficients of a linear combination are recovered by pairing, its norm squared is the sum of squared coefficients, and the tuple is linearly independent.

Statement

Let R\mathbb{R} be the ordered field of real numbers, with the notation of that item, let EE be a real inner product space with inner product ⟨⋅,⋅⟩\langle\cdot,\cdot\rangle, norm ∣⋅∣|\cdot|, let nn be a natural number with initial segment [n][n], let v∈Env\in E^{n} be an nn-tuple in EE with components vkv_{k}, let c:[n]→Rc:[n]\to\mathbb{R} be a map with values ckc_{k}, and let w∈Ew\in E. Sums of vectors are finite sums in EE, sums of real numbers are finite sums in the field R\mathbb{R}, ∑k=1nckvk\sum_{k=1}^{n}c_{k}v_{k} denotes the finite sum in EE of the nn-tuple with components ckvkc_{k}v_{k}, and ∑k=1nck2\sum_{k=1}^{n}c_{k}^{2} the finite sum in R\mathbb{R} of the nn-tuple with components ck2=ckckc_{k}^{2}=c_{k}c_{k}. Then the following hold.

1. (Sums) ⟨∑k=1nvk,w⟩=∑k=1n⟨vk,w⟩\bigl\langle\sum_{k=1}^{n}v_{k},w\bigr\rangle=\sum_{k=1}^{n}\langle v_{k},w\rangle and ⟨w,∑k=1nvk⟩=∑k=1n⟨w,vk⟩\bigl\langle w,\sum_{k=1}^{n}v_{k}\bigr\rangle=\sum_{k=1}^{n}\langle w,v_{k}\rangle.

2. (Linear combinations) ⟨∑k=1nckvk,w⟩=∑k=1nck⟨vk,w⟩\bigl\langle\sum_{k=1}^{n}c_{k}v_{k},w\bigr\rangle=\sum_{k=1}^{n}c_{k}\langle v_{k},w\rangle and ⟨w,∑k=1nckvk⟩=∑k=1nck⟨w,vk⟩\bigl\langle w,\sum_{k=1}^{n}c_{k}v_{k}\bigr\rangle=\sum_{k=1}^{n}c_{k}\langle w,v_{k}\rangle.

Suppose in addition that vv is orthonormal. Then the following hold.

3. (Coefficients) ⟨∑k=1nckvk,vj⟩=cj\bigl\langle\sum_{k=1}^{n}c_{k}v_{k},v_{j}\bigr\rangle=c_{j} for every j∈[n]j\in[n].

4. (Norm of a linear combination) ∣∑k=1nckvk∣2=∑k=1nck2\bigl|\sum_{k=1}^{n}c_{k}v_{k}\bigr|^{2}=\sum_{k=1}^{n}c_{k}^{2}.

5. (Linear independence) The family vv is linearly independent.

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