Find a matrix who's kernel is spanned by the two vectors U = ( 1,3,2) and V = ( -2, 0, 4).
Not sure what to do with this one
cross the vectors maybe?
I thought of doing that but I can't justify it
the kernal is the set of vectors which map to 0
u and v are a plain that has a normal
plane lol
Right so if i take the cross product of both of them then what am I really doing? Just fixing them in that plane on the origin?
hmm, lets try to write up a better definition of a kernel and see what we come up with. im trying to work from memory which can often times be faulty the kernel is the set of all elements in A that map to 0 in B
does that sound right?
Yeah
how do we set that up generically?
Ax-b= 0 ?
for some linear combination of vectors in A: Ax = 0 defines the kernel of A
a1U + a2V = 0 for some x=a1,a2
That makes sense yeah
So using the cross product I get those value of a1, a2,.?
you need a singular matrix to have something in kernel
still considering my errors :) the kernel of a vector space that is a plane, is the normal thru the origin.
So my vectors span a plane in R^3
and since they arent multiples they should be linearly dependent
Since the given vectors are basis of kernel, you need to find a vector thats perpendicular to both the solution vector smply take cross product as amistre said
we were trying to justify the process :)
\[\large \pmatrix{a_1&a_2&a_3\\a_1&a_2&a_3\\a_1&a_2&a_3\\} \pmatrix{-2\\0\\4} = \pmatrix{0\\0\\0}\] from the matrix multiplication, is it clear that the dot product of row vector and the given solution vector has to be 0 ?
Havent performed the operation but yes it seems like it would be
it is true in general, the row space is perpendicular to the kernel
Any vector in kernel has to be perpendicular to the rows of a matrix
you can reason that by simply interpreting the matrix multiplication as dot product of row and a column
Ohh okay that make sense
Thank you
Lets say i had 3 vectors would the cross product still apply?
If the kernel was spanned by 3 vectors
The kernel would then be perpendicular to all 3? so A = U x V x W
i think crossproduct is defined only in R^3
if your kernel has a basis of 3, then you need a matrix of atleast 4x4
you need to find a vector such that the dot product with each of the vector in basis of kernel gives 0
you wont ever get to work such a painful problem unless your prof is a psycho :P
Ha ha well we wont just yet but apparently we would be allowed to use any calc or software if we do
thats nice :) matlab solves all your problems then
do you know any good references to books or online resources so that i can understand the concepts better? Im using a book but not many examples
heard of gilbert strang ?
Yeah MIT professor i believe
yes he is the god of linear algebra
Gotta check him out ha ha thank you
http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/
watch his 6th lecture, it may not be so much useful to you as you know most things about subspaces already but still you may find some new things...
Awesome an OCW by him, free always is good!
Alright i will do that now thank you very much ganeshie8
np :)
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