Understanding |\beta><\alpha| in Sakurai's Book

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The discussion focuses on the expression |\beta><\alpha| from Sakurai's book, specifically addressing the confusion surrounding its interpretation. A participant attempts to derive the outer product but mistakenly equates it to a scalar rather than a matrix. The error is identified as a misunderstanding of the order of operations in quantum mechanics, where the outer product involves a row vector and a column vector. Clarification is provided that the left-hand side represents a matrix while the right-hand side represents a scalar, emphasizing the importance of maintaining proper order in calculations. The conversation concludes with an acknowledgment of the mistake and a thank you for the clarification.
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In Sakurai's book, page 22:

|\beta&gt;&lt;\alpha| \doteq<br /> \left( \begin{array}{ccc}<br /> &lt;a^{(1)}|\beta&gt;&lt;a^{(1)}|\alpha&gt;^{*} &amp; &lt;a^{(1)}|\beta&gt;&lt;a^{(2)}|\alpha&gt;^{*} &amp; \ldots \\<br /> &lt;a^{(2)}|\beta&gt;&lt;a^{(1)}|\alpha&gt;^{*} &amp; &lt;a^{(2)}|\beta&gt;&lt;a^{(2)}|\alpha&gt;^{*} &amp; \ldots \\<br /> \vdots &amp; \vdots &amp; \ddots <br /> \end{array} \right)

How can people get it? Following is my idea:

|\beta&gt;&lt;\alpha|\\= |\beta&gt; (\sum_{a&#039;}|a&#039;&gt;&lt;a&#039;|)&lt;\alpha|\\<br /> =\sum_{a&#039;}(&lt;a&#039;|\beta&gt;)(&lt;\alpha|a&#039;&gt;) [STEP *]

then we get
\doteq(&lt;a^{(1)}|\alpha&gt;^{*}, &lt;a^{(2)}|\alpha&gt;^{*} ,\ldots)\cdot <br /> \left( \begin{array}{c}<br /> &lt;a^{(1)}|\beta&gt;\\<br /> &lt;a^{(2)}|\beta&gt;\\<br /> \vdots<br /> \end{array} \right)

Is the STEP* right? I'm not sure if i have understood the ruls of ket and bra.
 
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STEP* is incorrect. The LHS is a matrix (operator) while the RHS is a number (a scalar). What you have actually calculated (your error is in not being careful with the order) is the inner product\langle \alpha | \beta \rangle = \sum_{a&#039;} \langle \alpha | a&#039; \rangle \langle a&#039; | \beta \rangle.

For the outer product, you are (post)multiplying a row vector with a column vector (in that order). Reversing the order gives the inner product, a scalar.
 
Thank you!
 
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