Multiplication between vector and vector operator

In summary, the dot product between the position vector and the Pauli spin matrices in quantum mechanics can be treated as a normal dot product between two vectors, with the operators representing the components of the vector. This is due to the relationship between SO(3) and SU(2), and the fact that both the position vector and the spin matrices are operators in quantum mechanics.
  • #1
LagrangeEuler
717
20
How this is defined?

##\vec{r}\cdot \vec{\sigma}##?
where ##\vec{r}=(x,y,z)## and ##\vec{\sigma}=(\sigma_x,\sigma_y,\sigma_z)##. ##\sigma_i## are Pauli spin matrices.
 
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  • #2
It's a 2x2 matrix... It seems you've stumbled on the way to represent the location of a point in space as a 2x2 matrix instead of a vector. I'm fuzzy on the rigorous details, but it has something to do with the relationship between SO(3) and SU(2).
 
  • #3
In quantum mechanics, both of those objects are operators. The operator [itex]\mathbf{r}[/itex] operates on state vectors in real space, whereas the operator [itex]\sigma[/itex] operates on spinors in spin space. You can treat (symbolically) the dot product between [itex]\mathbf{r}[/itex] and [itex]\sigma[/itex] as a normal dot product between two vectors, i.e.

[tex]\mathbf{r}\cdot\sigma=x\sigma_x+y\sigma_y+z\sigma_z[/tex]

where the [itex]x,y,z,\sigma_x,\sigma_y,\sigma_z[/itex] are all operators. Say we have a state [itex]|\psi\rangle=|\phi\rangle\otimes|\chi\rangle[/itex] where [itex]|\phi\rangle[/itex] is a state vector in real space and [itex]|\chi\rangle[/itex] is a spinor. Then

[tex]\mathbf{r}\cdot\sigma|\psi\rangle=x\sigma_x|\psi\rangle+y\sigma_y|\psi \rangle+z\sigma_z|\psi\rangle[/tex]
[tex]=x|\phi\rangle\otimes\sigma_x|\chi\rangle+y|\phi\rangle\otimes \sigma_y|\chi\rangle+z|\phi\rangle\otimes\sigma_z|\chi\rangle[/tex]

where the operators [itex]x,y,z[/itex] operate on the real space state vector [itex]|\phi\rangle[/itex] and the operators [itex]\sigma_x,\sigma_y,\sigma_z[/itex] operate on the spinor [itex]|\chi\rangle[/itex].
 

1. What is a vector operator?

A vector operator is a mathematical function that takes in a vector as its input and produces another vector as its output. Examples of vector operators include gradient, divergence, and curl.

2. How is multiplication between vector and vector operator defined?

Multiplication between a vector and a vector operator is defined as the dot product between the vector and the result of applying the vector operator on the vector. This means that the result of the multiplication is a scalar value.

3. What is the purpose of using vector operators?

Vector operators are used in many areas of science and engineering to simplify and solve complex problems involving vector quantities. They allow us to describe physical quantities such as velocity, force, and electric/magnetic fields in a concise and elegant manner.

4. Can vector operators be applied to non-vector quantities?

No, vector operators are specifically defined for vector quantities and cannot be applied to non-vector quantities. However, some vector operators, such as gradient, can be extended to work with scalar functions as well.

5. How is multiplication between vector and vector operator different from scalar multiplication?

Multiplication between a vector and a vector operator results in a scalar value, while scalar multiplication results in a vector value. Additionally, scalar multiplication is commutative, meaning the order of multiplication does not matter, while multiplication between vector and vector operator is not commutative.

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