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Mathematics 18 Online
OpenStudy (anonymous):

find the dimension of egienspace for matrix[12 24]

OpenStudy (amistre64):

you have a dependant matrix ...

OpenStudy (amistre64):

it reduces to: 10 00

OpenStudy (anonymous):

yes

OpenStudy (amistre64):

so, you have a line, the eugene space of a line is just the 0 vector right?

OpenStudy (anonymous):

so how to get the dimension of egienspace

OpenStudy (amistre64):

define the eugene vectors to determine the construction of the space; then use the definition of dim

OpenStudy (anonymous):

i got lambda =o and 5 as egienvector

OpenStudy (amistre64):

those are values, not vectors, but its a good start

OpenStudy (anonymous):

u mean find basis

OpenStudy (amistre64):

yes

OpenStudy (amistre64):

row reduce the eigene basis, and count the number of pivot points ... sounds about right to me

OpenStudy (anonymous):

so for egien vectors i got [-2 1/2 1 1]

OpenStudy (amistre64):

thats correct enough, ida went with -2 1 1 2

OpenStudy (anonymous):

now what to do

OpenStudy (amistre64):

this defines the eigene space right?

OpenStudy (anonymous):

how to find the dimension of it then

OpenStudy (amistre64):

i beleive that the dim of a matrix can be defined by the number of pivot point of its rref ... does your material have a different way to define it?

OpenStudy (anonymous):

i dont know what is pivot point

OpenStudy (amistre64):

a pivot point can be thought of as a row reduced echelon matrix that has a leading 1 in a row

OpenStudy (anonymous):

i got 2 pivot point when i did row reduce

OpenStudy (amistre64):

then if memory serves, the dimension of the eigenespace will be 2; but im trying to verify that at the moment

OpenStudy (amistre64):

oy, does your material clarify any of this by chance?

OpenStudy (amistre64):

an eigenspace is defined for each lambda: the set of all solutions to Ax = Lx is called the eigenspace of A corresponding to L

OpenStudy (amistre64):

the set of all the eigenvectors produces a daigonal matrix ....

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