Impulse Response Function Problem

AI Thread Summary
The discussion revolves around calculating the impulse response function (IRF) using specific integral transformations. The user attempts to modify the integral limits and incorporates unit step functions to achieve a desired format. There is uncertainty regarding the correctness of the approach and the resulting IRF expression, h(t,τ) = 1 + e^(t-τ) * u(τ-t). A suggestion is made to analyze the problem by separating cases based on the value of t and to consider the system's causality. Ultimately, the user gains clarity on how to proceed with the calculations.
abcz4113
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I attempted by inputting u(τ-t)u(t-τ) into the second part of the integral. Since I want to change the second part of the integral to go from [+∞, -∞]. And as for first part of the integral I added a u(t-τ) term after the x(τ) to change the integral from [t,-∞] into [+∞, -∞]. I am not sure if I did them right. And after factoring out the common term x(τ)u(t-τ) (I assume this is my input) from the two integrals I get that my IRF h(t,τ) = 1 + e^(t-τ) * u(τ-t). I am not sure about the answer and I did not know how to solve for the Unit Step Response of this system. Please Help. Thank you.
 
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Hello abcz4113,

At first thought, I would separate the cases where t<0, t=0 and t>0, assuming your impulse or unit step happens at t=0, and use the knowledge of h(t) and g(t).

I will have a closer look at this in a moment.
 
My first observation is that this system seems to be non-causal. Compare the first integral to the convolution integral relating input to output, then ask yourself what the second integral is doing there ...
 
Thank you for your hints. I know how to do it now.
 

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