Can Any Unitary Matrix Be Expressed as e^A?

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Discussion Overview

The discussion revolves around whether any unitary matrix can be expressed as the exponential of a skew-symmetric matrix. Participants explore the properties of unitary matrices, the nature of the exponential map for matrices, and the implications of diagonalizability.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that any unitary matrix can be expressed as e^A, where A is skew-symmetric, and suggest using the diagonalization of the unitary matrix.
  • Others question the form of e^A for a typical matrix A and discuss the relevance of breaking it into a series expansion.
  • One participant mentions that if A is diagonalizable, the infinite sum for e^A might simplify, but they are unsure how this applies to larger matrices.
  • Another participant discusses the relationship between the eigenvalues of U and the exponential form, suggesting that eigenvalues can be expressed as e^(iQi) for some vector v.
  • Concerns are raised about the determinant of skew-symmetric matrices, with one participant asserting that the determinant of most skew-symmetric matrices of even dimension is not zero.
  • There is a discussion about the implications of the determinant properties and how they relate to the exponential of skew-symmetric matrices.

Areas of Agreement / Disagreement

Participants express differing views on the properties of determinants of skew-symmetric matrices and the implications for the exponential map. There is no consensus on the validity of the claims regarding determinants or the generalization of the exponential form for unitary matrices.

Contextual Notes

Some participants note that the determinant is not a linear operation and that the properties of skew-symmetric matrices may vary with their dimensions. The discussion includes unresolved mathematical steps and assumptions regarding the nature of the matrices involved.

Who May Find This Useful

Readers interested in linear algebra, matrix theory, and the properties of unitary and skew-symmetric matrices may find this discussion relevant.

bor0000
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Proof: Any unitary matrix U in C(nxn) can be expressed as e^A, where A is skew-symmetric in C(nxn).
Hint: U=Qdiag(m1...,mn)Q* and the absolute value of the eigenvalues of U is 1.

thanks!
 
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Do you know what e^A looks like for a typical matrix A?
 
not really. I mean i could break it into A^n/n! but i don't see the point. i guess in case A is skew symmetric, it could be something like combinations of 2x2 blocks of e^a*(rotation matrix), where a is the same constant for 2 consecutive diagonal elements?

in the soln that i have available, the next line in the proof, after the '|mi|=1' was
"Hence mi=e^(iQi) ", where mi is the index of the eigenvalue of the U matrix. i don't know how to get that. i.e. i think it refers to mi*v=e^A*v for some v. but how is e^A=e^(iqi)
 
I mean i could break it into A^n/n! but i don't see the point

(I presume you mean the sum over all nonnegative n of that)

Well, it's what e^A means, so it might help us to understand it. Does the infinite sum simplify if A is diagonalizable?
 
A^2 = AA = UQU*UQU* = ?
A^3 = AAA = UQU*UQU*UQU* = ?
A^n = ?

If U is orthogonal and Q is diagonal, what does this turn out to be?
 
Thanks!
Hurkyl, i don't know, how if a matrix is diagonalizable, it will be easier to break it into that summation. unless the matrix is something like 2x2 instead of nxn.

LeBrad, A^n=QD^nQ*
elements of D are eigenvalues ik with k being various constants
e^A=Qe^DQ*. U=Q1DQ1* with elements of D having abs. value 1. and i need to prove somehow e^ik multiplied by some factor will give |1|, but i wouldn't know that since i don't know the value of Q.
 
So U = QDQ^{-1} with D diagonal and with every diagonal element of D having modulus 1 and Q unitary. Any complex number whose modulus is equal to one can be written e^{ia}, and the exponential of a diagonal matrix is just the new diagonal containing so D can be written e^A, with A a diagonal matrix with pure imaginary entries. Also, e^{QAQ^{-1}}=Qe^AQ^{-1}, and if A is diagonal with pure imaginary, then QAQ^-1 is skew adjoint.
 
thanks! so e^(ia) is always equal to +-1??
 
bor0000 said:
thanks! so e^(ia) is always equal to +-1??
only if a is a multiple of pi
 
  • #10
Thanks!...
 
  • #11
I use Taylor expansion of e^x where x now is a matrix,
e^A= I + A +A^2/2!+A^3/3!+...
taking the determinant of both sides
det(e^A)=det(I+...) where the right hand side will just be sum of determinants of all terms
since for skew-symmetric matrix A transpose = -A, then on can show det(A)=0
hence all determinants on RHS vanish, except det(I);
proven that e^A = I
regards,
 
  • #12
(1) The determinant is not a linear operation. det(A + B) is usually not equal to det(A) + det(B).

(2) Most skew-symmetric matrices of even dimension (e.g. 6x6) don't have determinant zero.

(3) det(A) = det(B) does not imply A = B.
 
Last edited:

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