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I'm not a mathematician so I don't know if my reply here has any impact either. I don't understand the + in the first reply! It's an addition of vector spaces,
by kzrdude 5y ago
I'm not a mathematician so I don't know if my reply here has any impact either. I don't understand the + in the first reply! It's an addition of vector spaces, but I'd have to go look up into definitions or subject material to understand what it means..
On the note of notation, mathematics repurposes notation all the time, hopefully in a way that helps the person reading to understand by analogy or at least not be mislead by the ananlogy.
You said M/L and the / I think of then is quotient group, but that's apparently not what it means (I wouldn't know without reading it in context).
- Koshkin 5y ago> I don't understand the + To add to the confusion, in some contexts the sum is the same as ("isomorphic to") the product!
- enriquto 5y ago> I don't understand the + in the first reply! If X and Y are vector spaces (e.g., a line or a plane through the origin), then X+Y is the sum of all elements of each. If you think about this example (dim(X)=1 and dim(Y)=2) you can easily recover the first formula intutively. There are two cases for the formula dim(X+Y) = dim(X) + dim(Y) - dim(X ∩ Y) Case 1: X is a line inside the plane Y. In that case X+Y=Y and X∩Y=X, and the formula of the dimensions becomes 2=1+2-1 Case 2: X intersects Y at the origin. In that case X+Y is a three-dimensional space and X∩Y is 0, thus the formula says 3=1+2-0.
- kzrdude 5y agoAnd you need some rule for what summing the elements means, where does it come from, I'm curious? If it's just a formal sum then the elements are incomparable between different spaces - and we can't say that one contains the other. I think I must understand when you say "X + Y" is the sum of elements that you're not using a formal sum {x} + {y} of each element x, and y but you mean sort of like the union of elements in X and Y?
- enriquto 5y agoNo, the idea is that they are all vectors in the same all-encompassing vector space. You can always sum them. What's missing on the formula is that all of these vector spaces are subspaces of the same larger one. That's implicit, otherwise the sum wouldn't make sense. Think that you are playing inside R^n and juggling a few lower-dimensional subspaces of it.