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Causality condition for CT LTI system

Short answer

A causal system output depends only on present and past inputs; non-causal uses future inputs. For CT LTI, causality iff h(t)=0 for t<0. Then output integral runs from tau=0 to infinity.

What do you mean by causal and non causal systems? Derive the condition for a continuous time LTI system to be causal.

Causal and non-causal systems

  • A causal system is one whose output at any time depends only on the present and past values of the input, not on future values. Example: y(t)=x(t)+2x(t−1)y(t) = x(t) + 2x(t-1). All physical real-time systems are causal.
  • A non-causal system's output depends on future input values as well. Example: y(t)=x(t+1)y(t) = x(t+1), y(t)=x(−t)y(t) = x(-t). Such systems can be used only on stored (recorded) data, e.g. image processing.

Condition for a CT LTI system to be causal

For an LTI system,

y(t)=∫−∞∞h(τ) x(t−τ) dτy(t) = \int_{-\infty}^{\infty} h(\tau)\,x(t-\tau)\,d\tau

Split the integral at τ=0\tau = 0:

y(t)=∫0∞h(τ) x(t−τ) dτ⏟uses x at times≤t+∫−∞0h(τ) x(t−τ) dτ⏟uses x at times>ty(t) = \underbrace{\int_{0}^{\infty} h(\tau)\,x(t-\tau)\,d\tau}_{\text{uses } x \text{ at times} \le t} + \underbrace{\int_{-\infty}^{0} h(\tau)\,x(t-\tau)\,d\tau}_{\text{uses } x \text{ at times} > t}

The second integral uses future inputs x(t−τ)x(t - \tau) with t−τ>tt - \tau > t. For y(t)y(t) to be independent of every future input, this term must vanish for all xx, which requires

h(t)=0for t<0h(t) = 0 \quad \text{for } t < 0

Then

y(t)=∫0∞h(τ) x(t−τ) dτ=∫−∞tx(τ) h(t−τ) dτy(t) = \int_{0}^{\infty} h(\tau)\,x(t-\tau)\,d\tau = \int_{-\infty}^{t} x(\tau)\,h(t-\tau)\,d\tau

Condition: a CT LTI system is causal if and only if its impulse response h(t)=0h(t) = 0 for t<0t < 0. (Physically, the system cannot respond before the impulse is applied at t=0t = 0.)

Examples: h(t)=e−2tu(t)h(t) = e^{-2t}u(t) is causal; h(t)=e−2∣t∣h(t) = e^{-2|t|} or h(t)=sin⁡(ωct)/πth(t) = \sin(\omega_c t)/\pi t is non-causal.

✓ Answer checked by Claude Opus 5.5 (high effort)

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