see attachment , please, Problem 5 I don't understand why the problem indicated about the matrix when we can get the answer from u,v w only.
when applying the inner product, I get <u,v> = -1 but it's wrong. my book said that it's = -5. so I know my understanding is wrong but don't know why.
complex conjugate of the second vector. but your vectors seem real
it's the part of weighted Euclidean Inner Product.
hmm. "-1" looks right
@Hoa you sure you looked up the right answer?
yes, sir.
\[ u'=[2\;1;1\;1][2;1]=[4+1;2+1]=[5;3]\\ v'=[2\;1;1\;1][-1;1]=[-2+1;-1+1]=[-1;0]\\ <u',v'>=(5)(-1)+(3)(0)=-5 \] missed the REGION!!!!
first project the vectors on to your region, then perform the operations
would you please show me how to solve problem 4 from the first attachment?
I think what they are asking is to use the vectors from "3" to find the Euclidean inner product.
Thanks a lot. I appreciate what you offer.
ok, so we know that the eucledean inner product is due to projection. Let the projection be generated by "A" \[<u',v'>=<(Au),(Av)>\]
i think we can take "A" as a Lie group generator!
I make up the matrix A as \[\left[\begin{matrix}a & b \\ c & d\end{matrix}\right]\] and gain Au. Av but I stuck at 3 equations, 4 variables.
my equations are: \[a^2+c^2 =3\] \[b^2+d^2=5\] ab + cd =0
the solution sheet gives out the answer is \[\left[\begin{matrix}\sqrt{3} & 0 \\ 0 & \sqrt{5}\end{matrix}\right]\]
I step away awhile to eat something. I sit here from 12 until now. will be back when finish eating.
the matrix corresponding to the inner product <u,v> = w1u1v1 +w2u2v2 +.... is \[\left[\begin{matrix}\sqrt{w1} & 0 \\ 0 & \sqrt{w2\\}\end{matrix}\right]\]
sorry friend.
like this: \[\left[\begin{matrix}\cos\theta&-\sin\theta\\\sin\theta&\cos\theta\end{matrix}\right]\]
this is the Lie Group generator.
Group theory has amazing applications. Matrix representations simplify the expression of information and provide new insights. The above Lie Generator causes rotation of a system. similarly, you can have translation, scaling, etc.. and for N-dimensions
haha. please, dont embarrass me by calling "sir". I am just another student of the nature.
lol. how about continue with 'kid'..
btw, help me figure out how to find d(A,B) where A,B are matrices
distance = norm of difference (vectors) for matrices, you have Frobenius norm, infinite norm, etc..
Frobenius norm =\(\sum\limits_{i,j}(a_{ij}-b_{ij})^2\)
is the common one
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