bra-ket with adjoints identity

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SUMMARY

The discussion centers on the adjoint identity in linear algebra, specifically the relationship between a linear operator \( A \) and its adjoint \( A^{\dagger} \). The key equation established is \( \langle v|A|w\rangle = \langle w|A^{\dagger}|v \rangle^* \), demonstrating the inner product's properties. An example using real matrices illustrates the calculation of \( \langle A(x),y \rangle \) and \( \langle x, A^{\dagger}(y) \rangle \), confirming that both yield the same result. The discussion clarifies common misconceptions regarding the associativity of matrix multiplication.

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nomadreid
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TL;DR
I thought that, if B is the adjoint of A, <v|A|w>=<v|(A|w>)=<(v|B)|w>. But a simple example with real matrices trips me up.
Continuing the summary: the example in question is
adjoint.png

Obviously I am understanding some extremely elementary point incorrectly. What? Many thanks!
 
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The correct equation is:
$$\langle v|A|w\rangle = \langle w|A^{\dagger}|v \rangle^*$$
 
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nomadreid said:
TL;DR Summary: I thought that, if B is the adjoint of A, <v|A|w>=<v|(A|w>)=<(v|B)|w>. But a simple example with real matrices trips me up.

Continuing the summary: the example in question is
View attachment 357730
Obviously I am understanding some extremely elementary point incorrectly. What? Many thanks!
The formula is
$$
\bigl\langle A(x),y \bigr\rangle = \bigl\langle x, A^\dagger (y) \bigr\rangle .
$$

This means for your example with ##x=(0,1)## and ##y=(3,4)## that
\begin{align*}
\bigl\langle A(x),y \bigr\rangle &=\bigl\langle \begin{pmatrix}1&2\\3&4\end{pmatrix}\begin{pmatrix}0\\1\end{pmatrix}\, , \,\begin{pmatrix}3\\4\end{pmatrix} \bigr\rangle =\bigl\langle \begin{pmatrix}2\\4\end{pmatrix}\, , \,\begin{pmatrix}3\\4\end{pmatrix} \bigr\rangle =22\\[12pt]
\bigl\langle x , A^\dagger (y)\bigr\rangle &= \bigl\langle \begin{pmatrix}0\\1\end{pmatrix}\, , \,\begin{pmatrix}1&3\\2&4\end{pmatrix}\begin{pmatrix}3\\4\end{pmatrix} \bigr\rangle =\bigl\langle \begin{pmatrix}0\\1\end{pmatrix}\, , \,\begin{pmatrix}15\\22\end{pmatrix} \bigr\rangle =22
\end{align*}
or the other way around
$$
\bigl\langle A^\dagger (x),y \bigr\rangle = \bigl\langle x, A(y) \bigr\rangle =25 .
$$
What you have calculated was the associativity of matrix multiplication with two different matrices:
##XAY \neq_{i.g.} XA^\dagger Y.##
 
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Many,many thanks, PeroK and fresh42!
 

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