TheoremBase

A Linear Subspace is a Vector Space and Inherits an Inner Product

Statement

Let KK be a field, let VV be a vector space over KK with zero vector 0V0_{V}, and let WW be a linear subspace of VV. Then the following hold.

1. (Vector space) The set WW, equipped with the restrictions to WW of the addition and the scalar multiplication of VV, is a vector space over KK. Its zero vector is 0V0_{V}, and for w∈Ww\in W the additive inverse of ww in WW is its additive inverse −w-w in VV.

2. (Finite sums agree) Let nn be a natural number and let w∈Wnw\in W^{n} be an nn-tuple in WW. Then the finite sum of ww formed in the vector space WW of claim 1 is equal to the finite sum of ww formed in VV, the latter being the finite sum of ww regarded as an nn-tuple in VV.

3. (Inner product) Suppose KK is the field of complex numbers and VV together with ⟨⋅,⋅⟩\langle\cdot,\cdot\rangle is a complex inner product space. Then the map assigning to each pair w,w′w,w' of elements of WW the complex number ⟨w,w′⟩\langle w,w'\rangle is an inner product on the vector space WW of claim 1. The norm induced on WW by this inner product assigns to each w∈Ww\in W the same real number ∥w∥\lVert w\rVert as the norm induced on VV; and the metric on WW obtained from it as in claim 3 of The Induced Norm is a Norm, and Induces a Metric is the restriction to WW of the corresponding metric on VV.

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