Convolution Integral properties

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SUMMARY

The discussion centers on proving the relationships y'(t) = x(t) * h'(t) and y'(t) = x'(t) * h(t) within the context of Linear Time-Invariant (LTI) systems. It references the convolution integral y(t) = x(t) * h(t) defined as the integral of x(τ) * h(t-τ) from negative to positive infinity. The conversation suggests that the proof of these equations is more appropriately addressed in the realm of Fourier Transform theory rather than Differential Equations.

PREREQUISITES
  • Understanding of Linear Time-Invariant (LTI) systems
  • Familiarity with convolution integrals
  • Knowledge of differentiation in the context of signals
  • Basic principles of Fourier Transform theory
NEXT STEPS
  • Study the properties of convolution in LTI systems
  • Learn about differentiation of convolution integrals
  • Explore Fourier Transform techniques for signal analysis
  • Investigate the relationship between time-domain and frequency-domain representations
USEFUL FOR

Electrical engineers, signal processing professionals, and students studying systems theory who are interested in the mathematical foundations of LTI systems and convolution properties.

benfrankballi
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how would I show that y'(t) = x(t) * h'(t) and y'(t) = x'(t) * h(t)

I know that in an LTI system y(t) = x(t) * h(t) = \int x(\tau) * h(t-\tau) from \infty to -\infty

But how would I go about trying to prove the first two equations?
 
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Go to Differential Equation forum here to ask, this really belong to Fourier Transform area.
 

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