I am currently studying Linear Algebra Done Right (LADR) by Sheldon Axler and also How to prove it by Daniel Velleman. Currently I am in the chapter of Bases in LADR and I already read the chapter on equivalence relations in How to prove it. I tend to be somebody who looks for analogous things and something that I wanted to verify was whether there is a resemblance of Vector Subspaces and Equivalence Relations: Can one think of subspaces being equivalence classes? What I would suggest would be to say that vectors in a subspace form an equivalence class if they can be written as a linear combination of the basis vectors of that subspace. Moreover, there is a theorem which says: Every subspace of V is part of a direct sum equal to V. Wouldn't then the vector subspaces be analogous to a partition? Am I thinking along the right lines? Doesn't that mean that there is a sort of universal structure of mathematical topics?
2026-04-03 01:58:52.1775181532
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Can one think of vector subspaces as equivalence classes?
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If I understand your thought process correctly, one of the issues (among many) that will arise is as follows: Suppose $S=\text{Span}(\{e_1,e_2\})$ and $L=\text{Span}(\{e_2,e_3\})$, where $e_i$'s are the standard basis vectors in $\mathbb{R}^3$. Now the vector $e_2=0e_1+1e_2$ and $e_2=1e_2+0e_3$, so the classes $S$ and $T$ cannot be forming a partition as equivalence classes.
Pretty much anything can form equivalence classes; the only requirement for a family of subsets to form equivalence classes is that they form a partition.
The equivalence relation corresponding to these equivalence classes will be, quite simply but also quite unenlighteningly: "two elements are equivalent iff they belong to the same equivalence class".
Unfortunately, it's impossible to partition a vector space into a partition consisting only in vector subspaces, for a very simple reason: by definition, a vector subspace must always contain vector $\bf 0$, and so two vector subspaces of the same vector space cannot be disjoint. A partition must consist in disjoint subsets, so two vector subspaces cannot be in the same partition.
Therefore a partition of a vector space into subsets can consist in at most one vector subspace; the other subsets cannot also contain $\bf 0$ and so cannot be vector subspaces.
What you could do is partition a vector space into an family of parallel affine subspaces. For instance, you can partition 3d space into the family of all horizontal planes; then, two elements are equivalent iff they are in the same horizonal plane, ie, if they are at the same altitude. But those are affine subspaces, not vector subspaces: note how the word "elements" really wants to be "points" and doesn't want to be "vectors" in my previous sentence.
If a vector subspace has a basis, then by definition the basis generates the subspace, which means that any vector in that subspace can be written as a linear combination of the basis vectors. There is no "if" here, the second part of your sentence is always true.
Consider a vector space $V$ and a vector subspace $U$ of $V$. There exists a vector subspace $W$ such that $V = U \oplus W$; but $U$ and $W$ do not form a partition of $V$. There are two reasons why $(U, W)$ is not a partition of set $V$: (1) because vector $\bf 0$ is both an element of $U$ and an element of $W$, which is forbidden in a partition; (2) because it is easy to construct a vector which is neither an element of $U$ nor an element of $W$, and that's also forbidden in a partition.
If you absolutely wanted to exhibit a partition of set $V$, you could define $U' = U \setminus \{\bf 0\}$, $W' = W \setminus \{\bf 0\}$, and $T = V \setminus (U \cup W)$, and then the four subsets $(\{\bf 0\}, U', W', T)$ would form a partition of set $V$. But none of $U'$, $W'$ nor $T$ would be vector subspaces.
However, if $B_1$ is a basis of $U$ and $B_2$ is a basis of $W$, then $B_1 \cup B_2$ is a basis of $V$, and $(B_1, B_2)$ is a partition of $B_1 \cup B_2$. So you can say that the bases of subspaces form a partition of the corresponding basis of the space (if those subspaces are in direct sum).
Yes! Mathematics love structures! In fact it is sometimes said that mathematics are the art of giving different names to similar structures.