Finding the matrix A such that, exp(sA) is in SU(2)

In summary, the author is trying to solve a homework equation for a matrix A in SU(2), but is having difficulty understanding what B is. He has come to the conclusion that if A is traceless, antihermitian, and has exp(sA) in its expansion, then S must be exp(sA) orthogonal to SU(2).
  • #1
wilco
4
0

Homework Statement



Finding the matrix A such that, exp(sA) is in SU(2)

Homework Equations



My attempt is in trying to solve

[tex]\left(e^{sA}\right)^{t} B \left(e^{sA}\right) = B [/tex]

for A, where A is some 2x2 (complex?) matrix.

and B is the matrix representing the group of SU(2) matrices. Trouble is I'm not sure what B is, but have been using the matrix of the general form of SU(2)

B = [ [tex]\alpha, -\beta*; \beta, \alpha*[/tex]], where * denotes the conjugate

The Attempt at a Solution



[tex]\left(e^{sA}\right)^{t} B \left(e^{sA}\right) = B [/tex]

simplifying to the solving of

[tex]A^{t}[/tex]B + B A = 0

which I'm not really having much success at doing. Anyone who knows more about this than me will see that I not really sure what I'm up to. Some help would be appreciated.

Thanks, in anticipation..
 
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  • #2
I don't see what B has to do with anything. You just want S=exp(sA) to be is SU(2), right? That means S is orthogonal, i.e. S^+=S^(-1) (where ^+ is hermitian conjugate) and det(S)=1. For the first one, S^(-1)=exp(-sA) and S^+=exp(sA^+) and compare the expansions of the exponentials (I'm assuming you mean s to be real). For the second condition use det(exp(A))=exp(trace(A)).
 
  • #3
Thanks, Dick - much appreciated.

I got went down the track of using the approach with B as it was used on another example that I had available to me. Your approach seems like common sense ... now.

Am I right that det(exp(sA))=exp(trace(A)) so the s does not figure in that calc?

Therefore, I require, exp(trace(A)) = 1, hence A is traceless?

Also, as an aside, am I correct in thinking that if s was not real, say s=i, then I can show that exp(iA) is unitary if A is Hermitian, so any traceless Hermitian matrix would be in SU(2)?

Thanks again - I'll carry on working through what you've given me..
 
  • #4
Well, no, det(exp(sA))=exp(trace(sA)), you can't just leave the s out on one part. But if A is traceless, then sA is traceless. You reach the same conclusion. And, yes, if s=i then A must be Hermitian. Can you use the essentially the same argument to show if s is real, then A must be antihermitian? I.e. A^(+)=(-A)?
 
  • #5
Actually, I've just done the expansions of S^(-1)=exp(-sA) and S^+=exp(sA^+), and comparing these brings me to exactly that conclusion, that A^(+)=(-A), ie. A must be antihermitian.

Adding the requirement, det(exp(sA))=1, would leave me concluding that A must be any traceless, antihermitian matrix. Does that sound on track?
 
  • #6
wilco said:
Actually, I've just done the expansions of S^(-1)=exp(-sA) and S^+=exp(sA^+), and comparing these brings me to exactly that conclusion, that A^(+)=(-A), ie. A must be antihermitian.

Adding the requirement, det(exp(sA))=1, would leave me concluding that A must be any traceless, antihermitian matrix. Does that sound on track?

I believe you.
 
  • #7
Got it! Brilliant ... thanks again for your time.
 

FAQ: Finding the matrix A such that, exp(sA) is in SU(2)

What is the significance of finding the matrix A such that exp(sA) is in SU(2)?

Finding the matrix A that satisfies exp(sA) in SU(2) is important because it allows us to represent a group of 2x2 unitary matrices with determinant 1, which is used in various mathematical and scientific applications such as quantum mechanics and signal processing.

How do you determine the matrix A that satisfies exp(sA) in SU(2)?

The matrix A can be determined by using the Lie algebra of SU(2), which is a set of 3x3 skew-hermitian matrices. By finding the exponential of a skew-hermitian matrix, we can obtain a unitary matrix that satisfies the condition.

What is the relationship between the matrix A and the parameter s in the expression exp(sA)?

The parameter s represents the scaling factor used to determine the magnitude of the matrix A. As s increases, the magnitude of A increases, and vice versa. This allows us to control the "speed" at which the matrix A changes and ultimately affects the resulting unitary matrix exp(sA).

Can the matrix A be any 2x2 matrix in order for exp(sA) to be in SU(2)?

No, in order for exp(sA) to be in SU(2), the matrix A must satisfy certain conditions. It must be a 2x2 matrix with complex entries that are both orthogonal and norm-preserving. This ensures that the resulting unitary matrix has a determinant of 1.

What are some real-world applications of finding the matrix A such that exp(sA) is in SU(2)?

This concept has various applications in fields such as quantum computing, where unitary matrices are used in quantum gate operations. It is also used in signal processing and image reconstruction techniques, as well as in the study of crystallography and molecular dynamics.

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