Undergrad Independence of variables in Convolution

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In convolution, the independence of variables z and x is crucial for the integrity of the integral. The discussion highlights that z serves as a temporary variable, and thus, x cannot depend on z. Setting x as a function of z, such as x = z + y, alters the relationship and invalidates the convolution's properties. The integral must maintain its form without introducing dependencies between these variables. Therefore, x and z must remain independent to ensure accurate convolution results.
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Given a convolution:
\begin{equation}
\begin{split}
g(x) * h(x) &\doteq \int_{-\infty}^{\infty} g(z) h(x-z) dz
\end{split}
\end{equation}

Do ##z## and ##x## have to be independent? For example, can one set ##x=z+y## such that:
\begin{equation}
\begin{split}
\int_{-\infty}^{\infty} g(z) h(x-z) dz&=\int_{-\infty}^{\infty} g(z) h(y) dz
\end{split}
\end{equation}
 
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The variable z is a temporary variable for the integral. You can not make x depend on it.
 

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