consider: R^3 is a vector space, V =(x, y, z) is a subset of R^3 if x =0, is V is a vector space? Please, check
my work is let k is a scalar u =(x,y, z)= (0, y, z) ku = (0, ky, kz ) !=(k.0, ky, kz) so it is not closed under multiplication axiom --> V is not VS?
how is k.0 != 0 ?
since V =(x, y, z) so any vector in V should be closed under multiplication to get the form ku = (kx,ky,kz) , but 0 ??
so is T(ku) = kT(u)?
@sourwing is it not we just check + and* axioms?
yes, we have to check both
@sourwing what is the role of T here?
let x=0, then <kx,ky,kz>=<k(0),ky,kz>=<0,ky,kz>=k<0,y,z>
just the name for the transformation
so I say it is closed under scalar multiplication, though I never did have a proper linear algebra course
yes, it's closed under multiplication. What about addition? Is T(u+v) = T(u) + T(v)
Yes, to algebra course, it 's quite easy to prove.But this is Abstract algebra, so. I confused everything
@sourwing yes it is , as TuringTest say, I believe it
one more question: if R ^3 is C^3 ,then, it turns true?
since x =0 and 0 is considered as a complex number , too. right? so , it is a VS, too, right? and what if x is real on C^3 with V = (real, complex, complex)? is V a Vector space?
that I dont know :D
yeah that's where it gets pretty technical... all real numbers are a subset of the complex numbers
and a subset can not be a subspace if it doesn't have 0 vector there, right?
yes
V = (real, complex, complex) should be closed under scalar multiplication, but under addition the complex components could have their imaginary part=0, making them "real", but again, all reals are a subset of C, so...
Thanks a lot. This is my first exercise and I have to submit it to collect my credit. I don't want to lose my credit because of those easiest stuff of the course.
I'm actually taking my first "real" linear algebra course now, with some abstract in it, so we'll be on this journey together it seems :)
yep, you should, it 's not hard, just go around and easy have mistake.
yeah I read a book on it. it's an interesting subject, but with things like method of cofactors and finding inverses of big matrices there is so much room for arithmetic or basic algebra errors. It can really get me frustrated. Hopefully I can focus more on the abstract part, seems less convoluted to me. Could be wrong about that though, hehe
:)
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