[Math] proof of the full exchange lemma

linear algebravector-spaces

Let V be spanned by $\{v_1,…,v_k\}$ and let $\{u_1,…,u_k\}$ be a linearly independent subset of V, then:
1) $k\leq n$

2) $\exists$ a spanning set $\{w_1,…,w_n\}$ for V where $w_i = u_i$ for $1 \leq i \leq k$

and $w_i \in \{v_1…v_n\}$ for $k < 1$

proof:

by induction on k,

for k = 1, proved by the little exchange lemma (done before),

assume true for $k-1$, then we have constructed a set $\{w_1,…,w_n\}$ which spans with $w_i = u_i$ $i \leq k-1$ and $w_i \in \{v_1,…,v_n\}$ for $k-1 > i$

we can express $u_k = \displaystyle \sum_{r=1}^n\lambda_rw_r$ as $\{w_1,…,w_n\}$ spans,

since $\{u_1,…,u_k\}$ is LI, $u_k \not = 0 $ for some $\lambda_r \not = 0$ (?)

Claim that $\lambda_r \not = 0 $ for some $k \leq t$ Otherwise, $u_k = \sum_{r=1}^{k-1}\lambda_ru_r$ (?) which is a dependence relationship and contradicts that $\{u_1…u_k\}$ is LI

Choose r, $k \leq r \leq n $ s.t. $\lambda_r \not = $, by the simplified little exchange lemma, $\{u_1,…,u_{k-1},u_k,w_{k+1}…w_n\}$ is a spanning set, hence by swapping $\{u_1…u_{k-1}, w_{k+1}…,u_k,…,w_n\}$ still spans V.(?)

I have questions where the question marks are,

firstly I understand that $u_k \not = 0$, but what does "$u_k \not= 0$ for some $\lambda_r \not=0$" mean? What has lambda got to with it

secondly if $\lambda_r = 0$ why does that give a dependence relationship, and why do we need for $k \leq t$?

Thirdly, why does rearranging it prove anything? I don't even know why the proof is finished – is it proved for k+1 now? have we even proved $k \leq n$?

Best Answer

I think you can work your way through this much easierif you first prove the useful, easy

Proposition: Let $\;B:=\{v_1,...,v_k\}\;$ be a linearly independent set in a vector space $\;V\;$ and let $\;x\in V\;$ . Then,

$$x\in\text{Span}\,(B)\iff \{v_1,...,v_k,x\}\;\text{is linearly dependent}$$

Can you see how to use the above in the different versions of the exchange theorem?