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Matrix Algebra help
posted in Off Topic
1
#1
0 Frags +

no, this is not homework

Just feeling retarded because I'm failing this simple algebra problem:

X(A+I)=I+A^-1, solve for X (they're all compatible matrices and I is the identity)
Now, I can see that the solution is A^-1, but if I try to solve by multiplying (A+I)^-1, this happens:

X=(I+A^-1)(A+I)^-1 <---edit:this was wrong
X=(I+A^-1)(I+A^-1)
X=(I+A^-1)^2 = I+2A^-1+A^-2

what am I doing wrong nerds pls help

[i]no, this is not homework[/i]

Just feeling retarded because I'm failing this simple algebra problem:

X(A+I)=I+A^-1, solve for X (they're all compatible matrices and I is the identity)
Now, I can see that the solution is A^-1, but if I try to solve by multiplying (A+I)^-1, this happens:

X=(I+A^-1)(A+I)^-1 <---[i]edit:this was wrong[/i]
X=(I+A^-1)(I+A^-1)
X=(I+A^-1)^2 = I+2A^-1+A^-2

what am I doing wrong nerds pls help
2
#2
7 Frags +

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Hey guys what the best type of filter for my pet goldfish, he’s in a 15 gallon tank and I’m thinking about getting him a pet snail
3
#3
0 Frags +

Oh I realized my mistake, I falsely tried to distribute an exponentiation right there in step one lmao.

Thanks vulc!

Follow-up question: Do I take it then that there is actually no way to compute this without knowing matrix A? Is the only way to solve this problem to guess the answer intuitively?

Oh I realized my mistake, I falsely tried to distribute an exponentiation right there in step one lmao.

Thanks vulc!


Follow-up question: Do I take it then that there is actually no way to compute this without knowing matrix A? Is the only way to solve this problem to guess the answer intuitively?
4
#4
4 Frags +

I'd show it like this :
X*(A+I) = I+A^-1
X*(A+I) = (A^-1)*(A+I)
Which means X = A^-1 since you can multiply both sides by (A+I)^-1 on the right.
EDIT : A+I has to be invertible for this to be true, if not then I don't see how you can solve from that without knowing A.

I'd show it like this :
X*(A+I) = I+A^-1
X*(A+I) = (A^-1)*(A+I)
Which means X = A^-1 since you can multiply both sides by (A+I)^-1 on the right.
EDIT : A+I has to be invertible for this to be true, if not then I don't see how you can solve from that without knowing A.
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#5
-1 Frags +

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#6
4 Frags +

Been a few years since I did algebra, but closest I can get it by multiplying by A on the right. then you have

X (A^2 + A) = A + I . Since A commutes with itself you can write this as
XA(A + I) = A + I

[edited bc I suck. trippa got it right below me, unless A = -I (in which case any X solves the equation) this solves to XA = I]

Been a few years since I did algebra, but closest I can get it by multiplying by A on the right. then you have

X (A^2 + A) = A + I . Since A commutes with itself you can write this as
XA(A + I) = A + I

[edited bc I suck. trippa got it right below me, unless A = -I (in which case any X solves the equation) this solves to XA = I]
7
#7
3 Frags +

X(A+I)=I+A^-1
factor out A from the first part
XA(I+A^-1)=I+A^-1
hence XA = I

quick edit: this assumes I + A^-1 is not 0
infact if A = -I the original equation is:
X(-I+I)=I + -I
or X0 = 0 so every X is a solution, so X = A^-1 will technically always work

X(A+I)=I+A^-1
factor out A from the first part
XA(I+A^-1)=I+A^-1
hence XA = I


quick edit: this assumes I + A^-1 is not 0
infact if A = -I the original equation is:
X(-I+I)=I + -I
or X0 = 0 so every X is a solution, so X = A^-1 will technically always work
8
#8
5 Frags +

edit im retarded

ok after thinking some more. if A is invertible, then it is row equivalent to I. you would think adding two row equivalent matrices would be row equivalent so A would be row equivalent to (A+I), but theres actually an exception here...when A has a row which is equal to the same row in -I, then adding that to I will mean that to get to (A+I) from A, you must perform the row operation of adding the negative of a row to itself, which is the same as multiplying by 0. this isnt a valid row operation so they aren't row equivalent. however this is the only exception.

so this means that either (A+I) is invertible, or it has at least one row of all 0's.

plugging this back into the equation XA(A + I) = A + I doesn't really help though. if all of the rows are 0 (A=-I), then it obviously solves for all X, but if only some rows are 0, I can't think of anything that would mean, especially since A+I is on the right side of the multiplication. if it was on the left side then that would mean an entire row of the product would also be 0 which would be equal to A+I, but on the right side that doesnt seem to necessarily be the case. you can use distributive property on other side to prove (A+I)A has the same zero rows, but you’re still left multiplying that by X so it doesnt help.

edit im retarded

ok after thinking some more. if A is invertible, then it is row equivalent to I. you would think adding two row equivalent matrices would be row equivalent so A would be row equivalent to (A+I), but theres actually an exception here...when A has a row which is equal to the same row in -I, then adding that to I will mean that to get to (A+I) from A, you must perform the row operation of adding the negative of a row to itself, which is the same as multiplying by 0. this isnt a valid row operation so they aren't row equivalent. however this is the only exception.

so this means that either (A+I) is invertible, or it has at least one row of all 0's.

plugging this back into the equation XA(A + I) = A + I doesn't really help though. if all of the rows are 0 (A=-I), then it obviously solves for all X, but if only some rows are 0, I can't think of anything that would mean, especially since A+I is on the right side of the multiplication. if it was on the left side then that would mean an entire row of the product would also be 0 which would be equal to A+I, but on the right side that doesnt seem to necessarily be the case. you can use distributive property on other side to prove (A+I)A has the same zero rows, but you’re still left multiplying that by X so it doesnt help.
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#9
7 Frags +

https://i.imgflip.com/262r6i.jpg

[img]https://i.imgflip.com/262r6i.jpg[/img]
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#10
1 Frags +

wait a second once you get XA(A + I) = A + I isnt that just the solution

doesnt matter if A+I is invertible or not, you know XA=I because I is the only matrix that would solve IC=C for C=(A+I) unless C=0

so since XA=I you can multiply both sides by A^-1 and get X=A^-1

i made this way too complicated in my last post rofl

of course theres still a case where A+I=0 where X can equal any matrix it wants

wait a second once you get XA(A + I) = A + I isnt that just the solution

doesnt matter if A+I is invertible or not, you know XA=I because I is the only matrix that would solve IC=C for C=(A+I) unless C=0

so since XA=I you can multiply both sides by A^-1 and get X=A^-1

i made this way too complicated in my last post rofl

of course theres still a case where A+I=0 where X can equal any matrix it wants
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#11
3 Frags +
wait a second once you get XA(A + I) = A + I isnt that just the solution

doesnt matter if A+I is invertible or not, you know XA=I because I is the only matrix that would solve IC=C for C=(A+I) unless C=0

thats what i said, i just explained the C = 0 case.

[quote]wait a second once you get XA(A + I) = A + I isnt that just the solution

doesnt matter if A+I is invertible or not, you know XA=I because I is the only matrix that would solve IC=C for C=(A+I) unless C=0[/quote]

thats what i said, i just explained the C = 0 case.
12
#12
3 Frags +

Thanks everyone! Yeah aside from the distribution error I made to arrive at my wrong results, I was mostly confused why I couldn't solve it algebraically all the way to X=A^-1. But I guess I was just in the commutative mindset that every linear system should be computable... but I understand now that with matrices you have to make assumptions such as (A+I) is invertible to be able to do that. The problem was probably designed to trick you into doing a whole lot of unnecessary steps and then realizing you should just try out a few simple values first.

Thanks everyone! Yeah aside from the distribution error I made to arrive at my wrong results, I was mostly confused why I couldn't solve it algebraically all the way to X=A^-1. But I guess I was just in the commutative mindset that every linear system should be computable... but I understand now that with matrices you have to make assumptions such as (A+I) is invertible to be able to do that. The problem was probably designed to trick you into doing a whole lot of unnecessary steps and then realizing you should just try out a few simple values first.
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