Diagonalization and change of basis

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Discussion Overview

The discussion revolves around the diagonalization of a specific matrix and the representation of basis vectors in quantum mechanics using Dirac notation. Participants explore the implications of assuming certain forms for basis vectors and the conventions used in representing states in matrix form.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant presents a matrix and its eigenvalues and eigenvectors, questioning the assumption that the basis vectors can be represented as specific column vectors.
  • Another participant explains the column matrix representation of a state in a given basis, illustrating how the basis vectors correspond to standard basis vectors in matrix form.
  • A third participant clarifies that the eigenvectors are orthogonal and discusses the desirability of scaling them to be orthonormal, while also questioning the assumption about the representation of basis vectors.
  • This participant suggests that the question may relate more to conventions in quantum mechanics rather than purely mathematical principles.
  • A later reply emphasizes that a ket is an abstract vector and that column vectors are specific to a chosen basis, pointing out that the notation used may imply a specific basis without explicitly stating it.

Areas of Agreement / Disagreement

Participants express differing views on the nature of basis vector representation and the conventions used in quantum mechanics. There is no consensus on whether the assumption of specific forms for the basis vectors is universally applicable or merely a convention.

Contextual Notes

The discussion touches on the distinction between abstract vectors and their representations in specific bases, as well as the implications of using standard basis vectors in finite dimensions. The relevance of canonical forms in mathematics is also mentioned but remains unresolved.

RicardoMP
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I have the following matrix given by a basis \left|1\right\rangle and \left|2\right\rangle:
<br /> \begin{bmatrix}<br /> E_0 &amp;-A \\<br /> -A &amp; E_0<br /> \end{bmatrix}<br />

Eventually I found the matrix eigenvalues E_I=E_0-A and E_{II}=E_0+A and eigenvectors \left|I\right\rangle = \begin{bmatrix}<br /> \frac{1}{\sqrt{2}}\\<br /> \frac{1}{\sqrt{2}}<br /> \end{bmatrix} and \left|II\right\rangle=\begin{bmatrix}<br /> \frac{1}{\sqrt{2}}\\<br /> -\frac{1}{\sqrt{2}}<br /> \end{bmatrix}.
I found out in the solutions of further problems that I can write these vectors as \left|I\right\rangle=\frac{1}{\sqrt{2}}\left|1\right\rangle+\frac{1}{\sqrt{2}}\left|2\right\rangle and\left|II\right\rangle=\frac{1}{\sqrt{2}}\left|1\right\rangle-\frac{1}{\sqrt{2}}\left|2\right\rangle
But why do we assume that \left|1\right\rangle=<br /> \begin{bmatrix}<br /> 1 \\<br /> 0<br /> \end{bmatrix}<br /> and \left|2\right\rangle=<br /> \begin{bmatrix}<br /> 0 \\<br /> 1<br /> \end{bmatrix} ?<br />
Is this canonical basis, a basis of every matrix?
 
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The column matrix representation of a state ##\newcommand{\ket}[1]{\left| #1 \right\rangle} \ket{\psi}## in a basis ##\ket{1}##, ##\ket{2}## is given by
$$
\newcommand{\braket}[2]{\langle #1 | #2 \rangle}
\begin{pmatrix}
\braket{1}{\psi} \\ \braket{2}{\psi}
\end{pmatrix}
$$
so clearly, if you want to represent the state ##\ket{1}## in this matrix representation, you would get
$$
\begin{pmatrix}
\braket{1}{1} \\ \braket{2}{1}
\end{pmatrix} = \begin{pmatrix} 1 \\ 0 \end{pmatrix}
$$
 
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to be crystal clear, you have real symmetric matrix, with eigenvectors

##\mathbf v_1 \propto
\begin{bmatrix}
1\\
1
\end{bmatrix}##

and

##\mathbf v_2 \propto
\begin{bmatrix}
1\\
-1
\end{bmatrix}##

these are orthogonal to each other. If you choose to scale each by ##\frac{1}{\sqrt{2}}## then you may call them orthonormal -- in general this is extremely desirable and hence that is why it was rescaled.

RicardoMP said:
But why do we assume that \left|1\right\rangle=<br /> \begin{bmatrix}<br /> 1 \\<br /> 0<br /> \end{bmatrix}<br /> and \left|2\right\rangle=<br /> \begin{bmatrix}<br /> 0 \\<br /> 1<br /> \end{bmatrix} ?<br />
This appears to be a question about conventions in the use of Dirac Notation, which is not a math question but something for the QM forums.

In general the use of standard basis vectors' coordinates is a common approach when dealing in finite dimensons. Technically for a relevant canonical form you'd look to the Jordan Canonical Form. I don't think using coordinates of the standard basis is canonical per se in math, but again your questions seems to be more about QM conventions than math.
 
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No, it's an abuse of notation. A ket is an abstract vector, independent of any basis. Column vectors always refer to a basis. Obviously tacitly you assumed that the basis to use should be ##\{|1 \rangle,|2 \rangle \}##. Of course the components of the basis vectors wrt. this basis itself are the "canonical basis" vectors of ##\mathbb{C}^n## (in your case ##n=2##).
 

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