After learning about finite dimensional vector spaces, the time came for learning about infinite dimensional ones. However, these seem much less intuitive to me, and proof of that is the question I wanted to ask here.
Let's consider a infinite dimensional vector space $(V, +, \cdot)$, with no topology or any other structure associated to it - not even a norm or inner product.
Let $V=L(S)$ ($L$ is the span operator) with $S=\{e_1, e_2,...\}$ where:
$$e_1=(1,0,0,0,...)\\ e_2=(0,1,0,0,...)\\ e_3=(0,0,1,0,...)$$
And so on. Also, let
$$v_a=(1,1,1,1,1,1,...)\\ v_b=(1,2,3,4,5,6,...)\\ v_c=(3,1,4,1,5,9,...)$$
Where in $v_c$ each coordinate is the n-th digit of $\pi$.
The questions
- Is $v_a$ in $V$? Intuitively, I would think it is not, since in order to represent $v_a$ as a linear combination of elements in our basis $S$, one would need to perform a sum of infinitely many summands
$$\sum_{i=1}^\infty e_i$$
which, since it's not a finite sum, it is not defined in $(V,+,\cdot)$.
In case $v_a$ was not in $V$, let $W = L(S\cup v_a)$. Would $v_b$ or $v_c$ also be in $W$? If so, what would its coordinates be? Again intuitively, if $v_a$ were not part of $V$, it would also not be possible to create a finite linear combination of vectors from $S \cup v_a$ that would yield $v_b$. Is this correct? Then, how can we construct a basis that can generate $v_b$ and $v_c$?
Does $V$ only contain vectors with a finite number of non-zero coordinates? If so, how can we create a basis for a vector space which contains all these other vectors with "infinitely long" coordinates?