Calculating the convolution of $\theta(t)\cdot(e^t\theta(1-t))$

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I try to calculate the convolution of $\theta(t)\cdot(e^t\theta(1-t))$.

Using the formula

\begin{equation} f*g(t)=\int_{-\infty}^\infty f(t-u)g(u)du \end{equation}

I set $f(t-u)=\theta(t-u)$

and

$g(u)=e^t\theta(1-t)$

So the integral would be:

\begin{equation} \int_{-\infty}^{-1} e^t\theta(1-t)\theta(t-u)du+\int_{-1}^{0}e^t\theta(1-t)\theta(t-u)du+\int_{0}^{\infty}e^t\theta(1-t)\theta(t-u)du \end{equation}

But this gives 1, which is wrong.

Then I tried the formula for casuality:

\begin{equation} f*g(t)=\int_{0}^t f(t-u)g(u)du \end{equation}

and here I got: $-te^t$

which is also wrong.

Where is the error here, in the integral boundaries, or the procedure itself?

Thanks

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You're mixing up your variables. The convolution integral should be evaluated as follows:$$\left[e^t\,\theta(1-t)\cdot\theta(t)\right](u)=\int\limits_{-\infty}^{\infty} e^t\,\theta (1-t)\,\theta(u-t)\,dt=e^u+\left(e-e^u\right)\,\theta(u-1)$$