Unitary Matrices: Properties & Homework Solutions

  • Thread starter Thread starter Niles
  • Start date Start date
  • Tags Tags
    Matrices
Click For Summary
SUMMARY

The discussion centers on the properties of unitary matrices, specifically a 3x3 unitary matrix U. It is established that a unitary matrix satisfies the equation UU† = I, where U† denotes the conjugate transpose of U. The distinction between unitary and Hermitian matrices is clarified, with Hermitian matrices defined as U = U†. The participant emphasizes that the definitions and properties of these matrices must be accurately understood to avoid confusion.

PREREQUISITES
  • Understanding of unitary matrices and their properties
  • Knowledge of Hermitian matrices and their definitions
  • Familiarity with the concept of conjugate transpose
  • Basic linear algebra concepts, particularly matrix operations
NEXT STEPS
  • Study the properties of unitary matrices in detail
  • Learn about the implications of the conjugate transpose in matrix theory
  • Explore the relationship between unitary and Hermitian matrices
  • Investigate applications of unitary matrices in quantum mechanics
USEFUL FOR

This discussion is beneficial for students and professionals in mathematics, physics, and engineering, particularly those studying linear algebra and quantum mechanics.

Niles
Messages
1,834
Reaction score
0

Homework Statement


Hi

Is it correct that when I have a unitary 3x3 matrix U, then

|Un,1|2+|Un,2|2+|Un,3|2=|U1,n|2+|U2,n|2+|U3,n|2,

since UH=U? Here n denotes some integer between 1 and 3.
 
Physics news on Phys.org
U=U* is called hermitian matrix not unitary, a unitary matrix satisifies: UU*=I.
If you multiply what do you get?
 
My book says that a unitary matrix satisfies UHU=I, i.e. UH=U-1.
 
I don't think so. That is not an example of a unitary matrix that is Hermitian. You just wrote the definition of a unitary matrix in another form.

Definition of a unitary matrix: UU^\dagger=I. Then we multiply both sides with the inverse of U, which gives us (U^{-1}U)U^\dagger=IU^\dagger=U^\dagger=U^{-1}.

The definition of a Hermitian matrix is:

U=U^\dagger

note that it is not the same as the equality you wrote in post #3.

Use the definition of the conjugate transpose (A^\dagger)_{ij}=\overline{A}_{ji}.
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 11 ·
Replies
11
Views
5K
  • · Replies 5 ·
Replies
5
Views
4K
  • · Replies 17 ·
Replies
17
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
1
Views
17K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K