How Does the Trace of a Matrix Relate to Its Components in Quantum Mechanics?

In summary: X=a_0+σ \cdot aX=a_0+\frac{1}{2}\left[ (σ_kX)_{11}+(σ_kX)_{22} \right]In summary, the homework statement is that a 2x2 matrix X is written as..
  • #1
Xyius
508
4

Homework Statement


Suppose a 2x2 matrix X (not necessarily Hermitian, nor Unitary) is written as..
[tex]X=a_0+σ \cdot a[/tex]
(In the book σ and a are both bold and are being dotted.)
Where [itex]a_0[/itex] and [itex]a_{1,2,3}[/itex] are numbers.

a.)How are [itex]a_0[/itex] and [itex]a_k, (k=1,2,3)[/itex] related to [itex]tr(X)[/itex] and [itex]tr(σ_kX)[/itex]?
b.)Obtain [itex]a_0[/itex] and [itex]a_k[/itex] in terms of the matrix elements [itex]X_{ij}[/itex].


Homework Equations


[itex]tr(X)[/itex]= The trace of X, meaning the sum of its diagonal components.
[itex]tr(X)=\sum_{a'}\left\langle a'|X|a' \right\rangle[/itex]
Where the name a' represents base kets.

The Attempt at a Solution



I do not know where to start to be honest. My first question is how can a 2x2 matrix operator equal a number [itex]a_0[/itex] plus the dot product of two vectors? I know I must be misinterpreting this. Can anyone help?
 
Physics news on Phys.org
  • #2
The σ's are the 2x2 Pauli matrices, so what the problem means is :

X = a0*(2x2 Identity matrix) + ax*(2x2 Pauli matrix σx) + ay*(2x2 Pauli matrix σy)+ az*(2x2 Pauli matrix σz)
 
  • #3
phyzguy said:
The σ's are the 2x2 Pauli matrices, so what the problem means is :

X = a0*(2x2 Identity matrix) + ax*(2x2 Pauli matrix σx) + ay*(2x2 Pauli matrix σy)+ az*(2x2 Pauli matrix σz)

Ah that makes it MUCH more clear! So I basically plugged everything in and found the trace in each case and got..

[tex]tr(X)=2a_0[/tex]
[tex]tr(σ_{1}X)=2a_1[/tex]
[tex]tr(σ_{2}X)=2a_2[/tex]
[tex]tr(σ_{3}X)=2a_3[/tex]

Which I assume is what they are looking for for part A. Part B however is making me a bit confused. Do they want me to just solve the above expressions for a?
 
  • #4
No, you have some matrix X where
$$X = \begin{pmatrix} X_{11} & X_{12} \\ X_{21} & X_{22} \end{pmatrix} = a_0 + \vec{a}\cdot\vec{\sigma}$$The problem wants you to solve for a0 and the ak's in terms of the Xij's. Start by writing down explicitly what ##a_0 + \vec{a}\cdot\vec{\sigma}## is equal to.
 
  • #5
Ohh okay so would this be on the right track?

[tex]a_k=\frac{1}{2}\left[ (σ_kX)_{11}+(σ_kX)_{22} \right][/tex]
Where k=0,1,2,3

EDIT: I got this by looking at the expressions I posted for part A and finding a common equation that suits all of them. I now see that you said to start by writing the original expression. I will try this.
 

FAQ: How Does the Trace of a Matrix Relate to Its Components in Quantum Mechanics?

What is "The Math of Quantum Mechanics"?

"The Math of Quantum Mechanics" is a branch of mathematics that deals with the study of quantum systems, which are systems that involve very small particles like atoms and subatomic particles. It is a fundamental part of understanding and describing the physical world at a microscopic level.

How is quantum mechanics different from classical mechanics?

Quantum mechanics is based on a different set of mathematical principles and equations than classical mechanics. It deals with the behavior of particles at a very small scale, and takes into account phenomena such as superposition and entanglement, which do not occur in classical mechanics.

Why is quantum mechanics important?

Quantum mechanics is essential for understanding many aspects of the physical world, including the behavior of atoms, molecules, and subatomic particles. It also plays a crucial role in technologies such as transistors, lasers, and MRI machines.

What are some key mathematical concepts in quantum mechanics?

Some key mathematical concepts in quantum mechanics include wave functions, operators, and observables. These concepts are used to describe the properties and behavior of quantum systems, and can be represented mathematically using equations and matrices.

How is quantum mechanics applied in real-world scenarios?

Quantum mechanics has numerous applications in fields such as chemistry, materials science, and electronics. It is also used in technologies like cryptography and quantum computing, which rely on the principles of superposition and entanglement to perform complex calculations and secure communication.

Back
Top