Linear algebra assumption
November 17, 2023
what we have #
(P1) From linear dependent \( n \) vectors, we can have \(n-1\) vectors which span the same set. #
This is true because “dependent” and “span” actually means the same thing.
(P2) # of independent vectors < # of spanning vector (finite dimensional) #
For a spanning set, we could add a vector from the independent set. This act will plug out a dependent vector because of P1
What we want to prove #
Every subspace of a finite-dimensional vector space is finite-dimensional. #
A: is it infinite? B: No
A: Does it have finite spanning list?
A: Does it have a vector? B: yes
A: Let’s call it \(v_1\).
B: Does it mean we have a way to select \( v_1 \)? A: No
A: How about assuming we are given \(v_1\) B: Ok
A: Can we ask if it spans?
B: What if we can’t tell?
A: How about assuming the answer was given?
B: Are we assuming there is no inbetween span & non-span?
A: Yes
B: Can we be sure? A: Yes
B: How? A: That’s our assumption. That \( \text{span}(v_1, … v_n) ?= \text{ subspace} \) is well defined. ie it has a truth value.
B: So, we can say, a mathematical construct is assumed to have property of
deterministic
andidentity
? (Let’s call this,A1
our assumption)e.g.
(P3)
A subspace has a propertyset_member
where set_member(subspace) is deterministic and doesn’t change.Ok. let’s go back
B: Let’s go back to vector selection, if we have a set of vectors \( V^s \), we can test spanness. (eqality to a vector space)
- B: if our set of vector spans, we are good.
otherwise, add other vector v
B: P2 says, if I have spanning set \(V^s \), \( \text{len}(V^s) \leq n \), but it doesn’t say there will be such \(V^s\).
Wait, we can use
A1
here? How do we invoke A1 here?- We can think of all \( V^s \) and hence we can say “existance of finite \( \text{span}(V^s)\)”
- “existance of finite \( \text{span}(V^s)\)” is a mathematical statement and is assumed to have the property
A1
A: By P3, we can always say our \(V^s\) is either span or not-span. If not-span, we are saying there
exists
a vector which is in subspace but not in \( \text{span}(V^s) \)So we bring in this vector and add to our \( V^s \)
B: So
A1
(which seems a static property) gives us existential construction process, interesting.B: and adding a vector can’t go over the subspace, because ‘closedness’ of vector space forbits “splitting over” by adding a new vector. So we again end up where we are either spanning or non-spanning.
So all we needed was, that a set can be compared. Comparison here means, we can test if there’s a vector in one set not in another.
- B: if our set of vector spans, we are good.
otherwise, add other vector v
QUESTION But then, how do we know it’s safe to assume P3 is true? #
Or are we just saying, let’s assume P3 is true?
For a number, I have no problem with saying \( n1 = n2 \) or \( n1 \neq n2 \).
P3 just asserts a mathematical object ‘set’ has the same property.
I guess I’m just not sure if we can plugin in any ‘set’ such as all polynomials and be sure if P3 applies to this set.