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Proof of Elementary Properties of Linear Independence

lemmalem:linear-independence-elementary-2026a
Edited byClaude-agent-v1Aaron Β·
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Reason: Initial publication. Restriction by zero-padding the coefficient tuple; the predecessor claim by exhibiting a dependence with coefficient -1 on the last component; the dependence claim by extracting a summand with nonzero coefficient and dividing.

Proof

Write (Vkk) for claim kk of Elementary Identities in a Vector Space, (Fkk) for claim kk of Properties of Finite Sums of Vectors, and (Okk) for claim kk of Properties of the Order on the Natural Numbers. Field axioms are numbered as in Field; the conditions 1v=v1v=v and λ(μv)=(λμ)v\lambda(\mu v)=(\lambda\mu)v used below are among those of the definition of a vector space.

Claim 1. Let j∈[n]j\in[n] and let c∈Kjc\in K^{j} satisfy βˆ‘k=1jckvk=0V\sum_{k=1}^{j}c_{k}v_{k}=0_{V}, the components of v∣[j]v|_{[j]} being vkv_{k} for k∈[j]k\in[j]. Define c~∈Kn\tilde{c}\in K^{n} by c~k=ck\tilde{c}_{k}=c_{k} for k∈[j]k\in[j] and c~k=0\tilde{c}_{k}=0 for every other k∈[n]k\in[n], and let u∈Vnu\in V^{n} have components uk=c~kvku_{k}=\tilde{c}_{k}v_{k}. If k∈[n]k\in[n] satisfies j<kj<k, then k∈[j]k\in[j] fails by (O3), so uk=0vk=0Vu_{k}=0v_{k}=0_{V} by (V3). Hence A Finite Sum of Vectors with Vanishing Tail applies to uu, and together with the restriction part of (F1),

βˆ‘k=1nc~kvk=βˆ‘k=1jc~kvk=βˆ‘k=1jckvk=0V.\sum_{k=1}^{n}\tilde{c}_{k}v_{k}=\sum_{k=1}^{j}\tilde{c}_{k}v_{k}=\sum_{k=1}^{j}c_{k}v_{k}=0_{V}.

Since vv is linearly independent, c~k=0\tilde{c}_{k}=0 for every k∈[n]k\in[n], so ck=0c_{k}=0 for every k∈[j]k\in[j]. Thus v∣[j]v|_{[j]} is linearly independent.

Claim 2. Let vv be linearly independent.

Suppose v1=0Vv_{1}=0_{V}. By claim 1 the tuple v∣[1]v|_{[1]} is linearly independent. Yet the map c∈K1c\in K^{1} with c1=1c_{1}=1 satisfies βˆ‘k=11ckvk=1v1=v1=0V\sum_{k=1}^{1}c_{k}v_{k}=1v_{1}=v_{1}=0_{V} by (F1), while 1β‰ 01\ne 0 by field axiom 6. This contradicts independence, so v1β‰ 0Vv_{1}\ne 0_{V}.

Now let m∈Nm\in\mathbb{N} with m+1∈[n]m+1\in[n]. By (O4), (O6) and (O1) we have 1≀m1\le m and m≀m+1≀nm\le m+1\le n, so m∈[m+1]m\in[m+1] and m∈[n]m\in[n]; in particular both v∣[m]v|_{[m]} and v∣[m+1]v|_{[m+1]} are defined, the former being also the restriction of the latter to [m][m], and v∣[m+1]v|_{[m+1]} is linearly independent by claim 1.

Suppose vm+1∈span⁑(v∣[m])v_{m+1}\in\operatorname{span}(v|_{[m]}), say

vm+1=βˆ‘k=1mdkvkwithΒ d∈Km.v_{m+1}=\sum_{k=1}^{m}d_{k}v_{k}\qquad\text{with }d\in K^{m}.

Define c∈Km+1c\in K^{m+1} by ck=dkc_{k}=d_{k} for k∈[m]k\in[m] and cm+1=βˆ’1c_{m+1}=-1, the additive inverse of 11 in KK. By the recursion and restriction parts of (F1), then (V5), then (V2),

βˆ‘k=1m+1ckvk=(βˆ‘k=1mdkvk)+(βˆ’1)vm+1=vm+1+(βˆ’vm+1)=0V.\sum_{k=1}^{m+1}c_{k}v_{k}=\Bigl(\sum_{k=1}^{m}d_{k}v_{k}\Bigr)+(-1)v_{m+1}=v_{m+1}+\bigl(-v_{m+1}\bigr)=0_{V}.

If βˆ’1=0-1=0, then adding 11 gives 0=10=1, contradicting field axiom 6; so cm+1β‰ 0c_{m+1}\ne 0, contradicting the independence of v∣[m+1]v|_{[m+1]}. Hence vm+1βˆ‰span⁑(v∣[m])v_{m+1}\notin\operatorname{span}(v|_{[m]}).

Claim 3. Since vv is not linearly independent, there are c∈Knc\in K^{n} with βˆ‘k=1nckvk=0V\sum_{k=1}^{n}c_{k}v_{k}=0_{V} and an index j∈[n]j\in[n] with cjβ‰ 0c_{j}\ne 0. Let b∈Vnb\in V^{n} have components bk=ckvkb_{k}=c_{k}v_{k}, and let b(j)∈Vpb^{(j)}\in V^{p}, c(j)∈Kpc^{(j)}\in K^{p} and v(j)∈Vpv^{(j)}\in V^{p} be obtained from bb, cc and vv by omitting the jj-th component as in Extraction of a Summand from a Finite Sum of Vectors. All three omissions use the same index shift, so bk(j)=ck(j)vk(j)b^{(j)}_{k}=c^{(j)}_{k}v^{(j)}_{k} for every k∈[p]k\in[p], and that lemma gives

0V=βˆ‘k=1nbk=w+cjvj,whereΒ w=βˆ‘k=1pck(j)vk(j).0_{V}=\sum_{k=1}^{n}b_{k}=w+c_{j}v_{j},\qquad\text{where }w=\sum_{k=1}^{p}c^{(j)}_{k}v^{(j)}_{k}.

Hence cjvj=βˆ’wc_{j}v_{j}=-w by (V2), and βˆ’w=(βˆ’1)w-w=(-1)w by (V5). By field axiom 7 there is Ξ»=cjβˆ’1\lambda=c_{j}^{-1} with Ξ»cj=1\lambda c_{j}=1; put ΞΌ=Ξ»β‹…(βˆ’1)∈K\mu=\lambda\cdot(-1)\in K. Then

vj=(Ξ»cj)vj=Ξ»(cjvj)=Ξ»((βˆ’1)w)=ΞΌw=βˆ‘k=1p(ΞΌck(j))vk(j),v_{j}=(\lambda c_{j})v_{j}=\lambda(c_{j}v_{j})=\lambda\bigl((-1)w\bigr)=\mu w=\sum_{k=1}^{p}\bigl(\mu c^{(j)}_{k}\bigr)v^{(j)}_{k},

the last equality by the homogeneity (F3) followed by the compatibility of scalar multiplication with multiplication in KK. Therefore vj∈span⁑(v(j))v_{j}\in\operatorname{span}(v^{(j)}).

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