u and v are column vectors in R^2 and A = I +uv^T. Show that if u^Tv is not equal to -1 then A^-1 = I -uv^T/(1+u^Tv)
if u and v are 2 column vectors in R^2, what is uv?
\[\binom{x_1}{y_1}\binom{x_2}{y_2}=\text{hard to do a rc operation}\]
uv would be a scalar, right?
matrix multipication can only be perforned if col1 = row2 right? we have 1 column on the left, and 2 rows on the right
Your right, sorry a typo it should be u and v are column vectors in R^2 and A = I +uv^T. Show that if u^Tv is not equal to -1 then A^-1 = I -uv^T/(1+u^Tv)
Okay I edited the question
u = x1 v=x2 y1 y2 uT = x1 y1 vT = x2 y2 uvT = x1x2 x1y2 y1x2 y1y2 I + uvT = 1+x1x2 x1y2 = A y1x2 1+y1y2 so thats one part written out
having trouble recalling the uv stuff. one is a dot product and the other is matrix multiplication
uv dot product would be a scalar ... x1x2 + y1y2
youre pretty much trying to manipulate A into A^-1 and show there respective parts. for which i believe we need a determinant for
if you have a picture of the problem, that might clear up some stuff about the post
Sorry there is no picture, just a word problem.
having trouble deciphering the format of the post as given. Usually there is some notation and such given in the word problem to help distinguish some nuances
uTv and uvT seems to relate to matrix multiplication and result in a new matrix uv would indicate a dot product that produces a scalar
if the phrase: uTv = -1 referes to a determinant .... than it would seem apparent that 1+uTv cannot be zero ... or something
A = 1+x1x2 x1y2 y1x2 1+y1y2 det(A) = (1+x1x2)(1+y1y2)-(x1y2)(x2y1) A^-1 = (some moving about of the components of A)/det(A)
does the moving about of the components of A equate to 1-uvT ? and does the det(A) = (1+det(uTv)) ??
i think the rule of a 2x2 is what, swap a d and negate b c
yes
then compare the swap to: I - uvT I-uvT = 1-x1x2 -x1y2 -y1x2 1-y1y2
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