Linear Algebra - Determinant functions

WiFO215
Messages
416
Reaction score
1

Homework Statement


Let R be the field of real numbers, and let D be a function on 2x2 matrices over R, with values in R, such that D(AB) = D(A)D(B) for all A, B. Suppose that D(I) != D ([0 1 1 0])

Prove that
a) D(0) = 0
b) D(A) = 0 if A2= 0
c) D(B) = -D(A) if B is obtained by interchanging the rows of A
d) D(A) = 0 if one row of A is 0
e) D(A) = 0 whenever A is singular

Homework Equations


The Attempt at a Solution


I can prove a) by assuming A=B=0. But that also leaves the case that D(0) = 1 which I don't know how to disprove. I'm clueless on the rest of them.
 
Physics news on Phys.org
For the first one, try letting B unspecified (arbitrary).
For the second one, use A = B.
 
For the third one, use that D(I) is not equal to D(J) where I=[[1,0],[0,1]] and J=[[0,1],[1,0]]. If D(I)=1 then D(J) MUST be -1. Can you show that using I^2=J^2=I? Now use that for any matrix A, JA is A with the rows interchanged.
 
Dick said:
For the third one, use that D(I) is not equal to D(J) where I=[[1,0],[0,1]] and J=[[0,1],[1,0]]. If D(I)=1 then D(J) MUST be -1. Can you show that using I^2=J^2=I? Now use that for any matrix A, JA is A with the rows interchanged.

That one's kinda brilliant :)
 
CompuChip said:
That one's kinda brilliant :)

Kinda fun is what it is. That's a cute problem.
 
I proved e) and therefore automatically proved d) as follows.

Let Q be the matrix [ [1 -1] [1 -1] ]. I have some singular function which will be of the form P = [ [X Y] [cX cY] ] where c is some arbitrary constant. Let L = [ [X Y] [0 0] ]

Now Q times L is [ [X Y] [X Y] ] which is singular. Other singular matrices P can be made by "modifying" the bottom row of Q i.e. multiplying the bottom row of Q by some scalar c will give you any other singular function of the form P that can be made from L. So let us consider the most basic case.

D(QL) = D(Q)D(L) ... Given
but D(Q) = 0 since Q2 = 0
Now, D(QL) = D(P) since QL = P
So, D(QL) = 0 = D(P)

Therefore, since c can take value zero also, the above result is true for ANY singular matrix, inluding L itself. Hence d) is also proved.
 
Dick that was awesome!Thanks! Thanks CompuChip! Check my above post too.
 
Here's part of a follow up question to that question (I proved the first part myself)

D is an alternating 2-linear function on 2x2 matrices over some commutative ring K with identity. Using D(A) = det A D(I) show that det (AB) = (detA)(detB) without using computations with the entries.

I proved that D(A) = det (A) D(I) for 2x2 matrices, but I can't seem to prove that second part.
 
Can't you just write
det(AB) = D(AB) / D(I)
because D(I) is non-zero, and use what you know about D, in particular D(AB)?
 
  • #10
But for this follow up question, I cannot assume that D(AB) = D(A)D(B) and it is not given so.
 
Back
Top