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Linear Algebra: Determine whether this is a vector space. Either show that the necessary properties are satisfied, or give an example that at least one of them is not. -The set of all upper-triangular m x n matrices

Mathematics
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Ah, I just don't get this stuff!
hehe wait a sec i am just checking :)
I'm pretty sure this is a vector space since it satisfies all the axioms need for a vector space.

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Other answers:

it is a vector space that is forsure
you just have to go thru all the axioms which is a pain :)
umm i wonder if you can assign values to the matrix to show that all axioms are true or you just have to leave them as variables
umm if you show using real values it is easier
but i am not sure what ur prof wld want
It would probably have to be more formal mathematical language... he docked me when I was doing a proof with a 3x3 matrix one time.
All you would really need to show is that the set of upper triangular matrices is closed under addition which is obvious. The other axioms are properties of matrices, or follow directly from closure of addition.
well i doubt her prof wld accepy that :)
anyways if its closed under addition not neccesairy will it be cllosed under multiplication
Well, closure of addition implies that u+v is still a matrix, if u, v are upper-triangular matrices. Since addition is associative, and multiplying matrices by scalars is a property of matrices that is well-defined, all the axioms are satisfied. In a vector space, you never multiply vectors together.
kk but she still has to show that all the axioms are satisfied
Yes, but their proof are almost trivial once you've showed closure of addition.
True :)
umm brinethy u know how to show that all the 10 axioms r true?
I don't know how to do this with a general mxn matrix
showing that it's closed under scalar multiplication and vector addition, I mean.
give me a sec and i will do it
Scalar multiplication should already be given to you as a property of matrices. As for vector addition, choose two arbitrary m x n upper triangular matrices, and add them together. It should become pretty obvious that it's closed after that.
Pippa, thank you very much for taking the time to do this for me. I can't tell you how much I appreciate it.
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well i just proved that they are closed under addition and scaler multiplication. Do u see how?
Aren't those all lower triangular matrices? not upper?
oh Sh* but it wld be the same thing
its a good thing u r around king
no problem at all.
umm there are still 8 more axioms that need to be proved
some of them take much longer to prive than others
These are the two main ones
R u still there?
Yeah, I stepped out. My dad had to tell me something
I'm opening your file right now
lol that is ok:)
So as long as it's closed under vector addition and scalar multiplication, the set is a vector space?
umm well u kind of have to prove the other axioms as well which is harder
and btw by accident i proved using lower traingles in stead of upper
Yes, I am aware of that
While you have to show a little more, the only other part that doesn't follow directly from those facts is that you need to find an inverse matrix (hint: multiply by -1 to get the inverse)
y wld u need to do that?
I am just wondering cuz i dont remember ever doing that?
idk I just went thru every axiom
Sorry guys, I am even more lost. I guess you have to go through all the axioms but I'm not getting a clear answer. I'll ask the instructor tomorrow, but he'll probably confuse me even more lol
LOL yes well you just went thru two axioms you just proved that it is closed under addition and that it is closed under scaler mutiplication
Like in ur textbook there shld be another 8 axioms that need to be proved liek one of them is u+v = v+u and (u+v)+w=u+(w+v) and many others
but it will take me hours to write them out unfortunately i dont have a tablet so like maybe ask ur prof to show u how
k gonna go study i hope i was a lil bit helpful :)
I will. And I really appreciate your help, thank you for taking the time to explain this stuff to me.
U r welcome its fun to teach others cuz that means I am comfortable enough in this area to explain it to others :) Gluck

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