Introduction to Set Theory (precursor to better evaluation of LA)

AI Thread Summary
The discussion focuses on the relationship between a maximal flag L and its components L_i in set theory, particularly in the context of linear algebra. The user presents a scenario involving elements e_i and their inclusion in sets L_i and M, aiming to establish that L_i equals M under certain conditions. The user seeks clarification on the definitions of M and L_i, as well as the validity of their assumptions regarding the basis formed by the elements. The conversation highlights the complexities of dimensionality and linear spans in set theory as a precursor to evaluating linear algebra concepts. Overall, the thread invites insights on these foundational aspects of set theory.
CubicFlunky77
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My goal: To show the dimension of space L equals the length of any maximal flag of L;

Is the following valid?

My attempt:

Let M \rightarrow {L_{i-1}, ... L_i}

where {e_i} \in L_i | e_i \not\in L_{i-1}

Assuming e_i \in M and e_i \not\in L_{i-1},

we can say: e_i \in L_i and L_i = M.

Thus: {e_1, ... ,e_i} , {e_i} \in L_i = M \ L_{i-1}

for n = dim L or "finite dimension" of L such that: L_o \subset L_1 \subset L_2 ... \subset L_n
 
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What are ##M## and ##L_i##?
 
I apologize for posting in a rush.

L is a maximal flag defined by L_0 \subset L_1 \subset L_2 ... and L_i is a space for which ({e_1, ... ,e_i}) forms the basis. Assuming
({e_i, ... ,e_{i-1}}) is valid, M is a linear span of the aforementioned basis of L_i.
 
Help... anyone? :(
 
I was reading a Bachelor thesis on Peano Arithmetic (PA). PA has the following axioms (not including the induction schema): $$\begin{align} & (A1) ~~~~ \forall x \neg (x + 1 = 0) \nonumber \\ & (A2) ~~~~ \forall xy (x + 1 =y + 1 \to x = y) \nonumber \\ & (A3) ~~~~ \forall x (x + 0 = x) \nonumber \\ & (A4) ~~~~ \forall xy (x + (y +1) = (x + y ) + 1) \nonumber \\ & (A5) ~~~~ \forall x (x \cdot 0 = 0) \nonumber \\ & (A6) ~~~~ \forall xy (x \cdot (y + 1) = (x \cdot y) + x) \nonumber...

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