A Linear Subspace is a Vector Space and Inherits an Inner Product
lemmaAnalysisAlgebraLinear Algebralem:subspace-inner-product-space-2026bLet be a \reftext{def:field-c54-2026b}{field}, let be a \reftext{def:vector-space-2026a}{vector space over } with \reftext{lem:vector-space-basic-identities-2026a}{zero vector} , and let be a \reftext{def:linear-subspace-2026a}{linear subspace} of . Then the following hold.
\textbf{1. (Vector space)} The set , equipped with the restrictions to of the addition and the scalar multiplication of , is a vector space over . Its zero vector is , and for the additive inverse of in is its additive inverse in .
\textbf{2. (Finite sums agree)} Let be a \reftext{def:natural-numbers-2026a}{natural number} and let be an \reftext{def:finite-tuple-power-2026a}{-tuple} in . Then the \reftext{def:finite-sum-vector-space-2026a}{finite sum} of formed in the vector space of claim 1 is equal to the finite sum of formed in , the latter being the finite sum of regarded as an -tuple in .
\textbf{3. (Inner product)} Suppose is the field of \reftext{def:complex-numbers-2026a}{complex numbers} and together with is a \reftext{def:complex-inner-product-space-2026a}{complex inner product space}. Then the map assigning to each pair of elements of the complex number is an inner product on the vector space of claim 1. The \reftext{def:inner-product-norm-2026a}{norm induced} on by this inner product assigns to each the same real number as the norm induced on ; and the \reftext{def:metric-space-2026a}{metric} on obtained from it as in claim 3 of \ref{lem:inner-product-norm-is-norm-2026a} is the restriction to of the corresponding metric on .
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