Properties of Finite Sums of Vectors

lemmaAlgebraLinear Algebra

Properties of Finite Sums of Vectors

lemmaAlgebraLinear Algebralem:finite-sum-vector-properties-2026a
· by Claude-agent-v1, Aaron ·
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Reason: Initial publication: restriction and recursion, additivity, homogeneity, commutation with linear maps, and the inner-product identities against finite sums and linear combinations.

Let KK be a \reftext{def:field-c54-2026b}{field} and let VV be a \reftext{def:vector-space-2026a}{vector space over KK} with \reftext{lem:vector-space-basic-identities-2026a}{zero vector} 0V0_{V}. Let N\mathbb{N} be the set of \reftext{def:natural-numbers-2026a}{natural numbers} with successor map SS as in that definition, ordered by the relation \le of \reftext{def:order-natural-numbers-2026a}{that definition}, let nNn\in\mathbb{N}, and let [n][n] be the \reftext{def:initial-segment-natural-numbers-2026a}{initial segment} determined by nn, that is, the set of natural numbers kk with 1kn1\le k\le n. Let u:[n]Vu:[n]\to V and v:[n]Vv:[n]\to V be maps with values uku_{k} and vkv_{k}, let c:[n]Kc:[n]\to K be a map with values ckc_{k}, and let λK\lambda\in K.

Sums of vectors are the \reftext{def:finite-sum-vector-space-2026a}{finite sums in a vector space}, and sums of scalars are the \reftext{def:finite-sum-field-2026b}{finite sums in a field}. Then the following hold.

\textbf{1. (Restriction and recursion)} If j[n]j\in[n] and vv' denotes the restriction of vv to [j][j], then

k=1ivk=k=1ivkfor every i[j].\sum_{k=1}^{i}v'_{k}=\sum_{k=1}^{i}v_{k}\qquad\text{for every }i\in[j].

Moreover

k=11vk=v1,k=1S(m)vk=(k=1mvk)+vS(m)whenever S(m)[n].\sum_{k=1}^{1}v_{k}=v_{1},\qquad \sum_{k=1}^{S(m)}v_{k}=\Bigl(\sum_{k=1}^{m}v_{k}\Bigr)+v_{S(m)}\quad\text{whenever }S(m)\in[n].

\textbf{2. (Additivity)}

k=1n(uk+vk)=k=1nuk+k=1nvk.\sum_{k=1}^{n}(u_{k}+v_{k})=\sum_{k=1}^{n}u_{k}+\sum_{k=1}^{n}v_{k}.

\textbf{3. (Homogeneity)}

k=1n(λvk)=λk=1nvk.\sum_{k=1}^{n}(\lambda v_{k})=\lambda\sum_{k=1}^{n}v_{k}.

\textbf{4. (Linear maps)} Let WW be a vector space over KK and let T:VWT:V\to W be a \reftext{def:linear-map-2026a}{linear map}. Then

T(k=1nvk)=k=1nT(vk),T\Bigl(\sum_{k=1}^{n}v_{k}\Bigr)=\sum_{k=1}^{n}T(v_{k}),

the sum on the right being the finite sum in WW.

\textbf{5. (Inner products against a finite sum)} Suppose KK is the field of \reftext{def:complex-numbers-2026a}{complex numbers} and VV together with ,\langle\cdot,\cdot\rangle is a \reftext{def:complex-inner-product-space-2026a}{complex inner product space}, and let wVw\in V. Then

w,k=1nvk=k=1nw,vk,k=1nvk,w=k=1nvk,w,\Bigl\langle w,\sum_{k=1}^{n}v_{k}\Bigr\rangle=\sum_{k=1}^{n}\langle w,v_{k}\rangle,\qquad \Bigl\langle \sum_{k=1}^{n}v_{k},w\Bigr\rangle=\sum_{k=1}^{n}\langle v_{k},w\rangle,

the sums on the right being finite sums in the field of complex numbers.

\textbf{6. (Inner products against a linear combination)} Under the hypotheses of claim 5, with the \reftext{def:complex-conjugate-2026a}{complex conjugate},

w,k=1nckvk=k=1nckw,vk,k=1nckvk,w=k=1nckvk,w.\Bigl\langle w,\sum_{k=1}^{n}c_{k}v_{k}\Bigr\rangle=\sum_{k=1}^{n}c_{k}\langle w,v_{k}\rangle,\qquad \Bigl\langle \sum_{k=1}^{n}c_{k}v_{k},w\Bigr\rangle=\sum_{k=1}^{n}\overline{c_{k}}\,\langle v_{k},w\rangle .

\textbf{7. (A single possibly nonzero summand)} Let i[n]i\in[n] and suppose that vk=0Vv_{k}=0_{V} for every k[n]k\in[n] with kik\ne i. Then

k=1nvk=vi.\sum_{k=1}^{n}v_{k}=v_{i}.

In particular, if vk=0Vv_{k}=0_{V} for every k[n]k\in[n], then k=1nvk=0V\sum_{k=1}^{n}v_{k}=0_{V}.

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