Eigenvector of Pauli Matrix (z-component of Pauli matrix)

Click For Summary
SUMMARY

The discussion focuses on finding the eigenvector of the z-component of the Pauli matrix, specifically for the eigenvalue 1. The eigenvalues of the Pauli z-matrix are established as 1 and -1. The eigenvector corresponding to the eigenvalue 1 is derived from the equation (\sigma_z - \lambda I)X = 0, leading to the conclusion that the eigenvector can be expressed as (x, 0) where x is any non-zero scalar. This indicates that the set of all eigenvectors for a given eigenvalue forms a one-dimensional subspace of the vector space.

PREREQUISITES
  • Understanding of linear algebra concepts, particularly eigenvalues and eigenvectors.
  • Familiarity with the Pauli matrices, specifically the Pauli z-matrix.
  • Knowledge of matrix operations, including matrix subtraction and multiplication.
  • Basic understanding of vector spaces and subspaces.
NEXT STEPS
  • Study the properties of eigenvectors and eigenvalues in linear algebra.
  • Explore the complete set of Pauli matrices and their applications in quantum mechanics.
  • Learn about normalization of eigenvectors and its significance.
  • Investigate the geometric interpretation of eigenvectors in vector spaces.
USEFUL FOR

Students and professionals in physics, particularly those studying quantum mechanics, as well as mathematicians and anyone interested in linear algebra and its applications in quantum theory.

roshan2004
Messages
140
Reaction score
0
I have had no problem while finding the eigen vectors for the x and y components of pauli matrix. However, while solving for the z- component, I got stuck. The eigen values are 1 and -1. While solving for the eigen vector corresponding to the eigen value 1 using (\sigma _z-\lambda I)X=0,
I got \left( \begin{matrix} 0 & 0 \\ 0 & -2 \end{matrix} \right)\left( \begin{matrix} x \\ y\end{matrix} \right)=0
Now, how can I find the eigen vector for eigen value 1 with this relation since it will give me only -2y=0
 
Physics news on Phys.org
Yes, that says that y= 0. Since you have NO equation restricting x, x can be any thing. An eigenvector corresponding to eigenvalue 1 is (x, 0)= x(1, 0).

(Perhaps you are missing the fact that the set of all eigenvectors corresponding to a single eigenvalue is a subspace of the vector space. The set of eigenvectors corresponding to eigenvalue 1 is the one dimensional subspace of all multiples of (1, 0).)
 
That equation is solved by ##y=0##; ##x## can be anything, but you can determine the normalized eigenvector if you want a concrete answer.
 

Similar threads

  • · Replies 33 ·
2
Replies
33
Views
3K
  • · Replies 24 ·
Replies
24
Views
4K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 7 ·
Replies
7
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
2
Views
3K