Diagonal Matrix & Perturbation Theory in Quantum Mechanics

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A diagonal matrix in quantum mechanics has non-zero entries only on its main diagonal, representing linear operators in finite-dimensional vector spaces. In quantum theory, operators are often expressed in terms of eigenstates, where a diagonal operator indicates that these states correspond to specific measurable values. When discussing perturbation theory, particularly in degenerate cases, understanding how these diagonal matrices relate to eigenstates is crucial, as they can represent systems with multiple states sharing the same energy level. Perturbation theory helps analyze how these eigenstates change under slight modifications to the system. Clarifying these concepts is essential for grasping the implications of perturbation theory in quantum mechanics.
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What does it mean for a matrix to be diagonal, especially in Quantum Mechanics, where we get to Perturbation theory (Degeneracy).
I don't get it. Please if you can explain in 'simple' language.
 
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For finite dimensional vector spaces, a "diagonal matrix" is something like
\begin{bmatrix}a & 0 & 0 \\ 0 & b & 0 \\ 0 & 0 & c\end{bmatrix}
having non-zero entries only on the main diagona. But I suspect you already knew that!

More generally, a square matrix represents a linear operator on some vector space. If that that vector space has finite dimension, n, then we can represent the operator as a n by n matrix. If the vector space is infinite dimensional is, as is typically the case in Quantum theory, we can't really write it as a "matrix" but the same ideas work.

The matrix is "diagonal" in a particular basis, \{v_1, v_2, ..., v_n\} then the basis vectors are eigenvectors: Av_i= a_iv_i where a_i is the number, on the diagonal, at the ith row and column. To say that an operator in Quantum Mechanics is "diagonal" also means that the basis vectors are all eigenvectors (eigenstates). Physically, "eigenstates" are those that give specific values to whatever the property is associated to the state while vectors that are not eigenstates can be written as linear combinations of the eigenstates and then give "mixtures" of those values.
 
Your question is pretty vague, so it's going to be hard to offer any concrete help. Here is what a diagonal matrix is in general: http://en.wikipedia.org/wiki/Diagonal_matrix

In QM, we say an operator ##\hat{A}## is diagonal in some basis of states ##| \psi_i\rangle## (where i is some index labeling the states) if ##\langle \psi_i | \hat{A} | \psi_j \rangle## is only nonzero when ##i = j##.
 
Thank you, but I suppose it was really vague. I am having a hard time understanding Perturbation theory in its degenerate case.
Anything on that matter could help especially the usage of Matrix in that section..
 
Time reversal invariant Hamiltonians must satisfy ##[H,\Theta]=0## where ##\Theta## is time reversal operator. However, in some texts (for example see Many-body Quantum Theory in Condensed Matter Physics an introduction, HENRIK BRUUS and KARSTEN FLENSBERG, Corrected version: 14 January 2016, section 7.1.4) the time reversal invariant condition is introduced as ##H=H^*##. How these two conditions are identical?

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