What is the significance of matrix elements of vectors in quantum mechanics?

In summary, Landau is discussing the use of matrix elements and vectors in quantum mechanics. These elements represent the relationship between states and operators in a chosen basis. More modern discussions of this topic can be found in the resources provided.
  • #1
bolbteppa
309
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What exactly is all this 'matrix elements of vectors' stuff that Landau is talking about?

I don't mean to ask people unfamiliar with this section to read it for me, so hopefully for someone who's read it - what's going on and where would I find a more modern discussion of this section (I'm sure this whole chapter should become easy when written in modern notation)?

Thanks!
 
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  • #2
A state in quantum mechanics is a vector. If one chooses a basis, it has a representation as a column vector.

An operator in quantum mechanics is a linear operators on the state, so again, if one chooses a basis, the operator has a representation as a matrix. The matrix elements are labelled according to the row and column of the matrix.

Here is an example. The Pauli matrices are a representation of the spin operators, written in the basis such the a spin in the +z direction is the column vector [1 0]T, and a spin in the -z direction is the column vector [0 1]T.
http://faculty.cua.edu/sober/611/Spin_and_Pauli_matrices.pdf
http://web.uconn.edu/~ch351vc/pdfs/spin1.pdf

To get the matrix element that is in the first row and first column of the σz Pauli matrix, one does:
<spin in up direction|σz|spin in up diection> = [1 0]σz[1 0]T

To get the matrix element that is in the second row and first column of the σz Pauli matrix, one does:
<spin in down direction|σz|spin in up diection> = [0 1]σz[1 0]T
 
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1. What are matrix elements of vectors?

Matrix elements of vectors refer to the elements of a matrix that correspond to a specific vector. They represent the values of the vector in relation to the basis of the matrix.

2. How are matrix elements of vectors calculated?

Matrix elements of vectors are calculated by taking the dot product of the vector with each column of the matrix. This results in a new vector with the same number of elements as the original vector.

3. What is the significance of matrix elements of vectors in linear algebra?

In linear algebra, matrix elements of vectors are important because they allow for the representation of linear transformations on a vector space. They also play a key role in solving systems of linear equations and finding eigenvectors and eigenvalues.

4. Can matrix elements of vectors be negative?

Yes, matrix elements of vectors can be negative. The sign of the element depends on the values of the vector and the corresponding column of the matrix. A negative element indicates that the vector and the corresponding column have opposite directions.

5. How do matrix elements of vectors relate to matrix multiplication?

Matrix elements of vectors are used in matrix multiplication as the coefficients in the resulting vector. They represent the contribution of each vector element to the new vector. In other words, the matrix elements of vectors determine how the vector is transformed by the matrix.

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