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Causal and Non Causal Systems – Theory | Solved Examples

In this topic, you study the Causal & Non-Causal Systems theory, definition & solved examples.


Let x(t) and y(t) be the input and output signals, respectively, of a system shown in Figure 1. Then the transformation of x(t) into y(t) is represented by the mathematical notation

y(t) = {\mathbf{T}}x(t)

where \mathbf{T} is the operator which defined rule by which x(t) is transformed into y(t).

signal and system

Figure 1: System with a single input and output signal.

Causal System

A system is called causal if its output is independent of future values of input. Example of causal systems are

y(t) = x(t)

y(t) = x(t – 1)

y(t) = x(t) + x(t – 1)

Non-Causal System

A system is called noncausal if its output at the present time depends on future values of the input. Example of noncausal systems are

y(t) = x(t + 1)

y(t) = x(t) + x(t + 1)

Example : Determine whether or not each of the following systems are causal  with input x(t) and output y(t).

(i) y(t) = x(3t)

(ii) y(t) = x(-t)

(iii) y(t) = {e^{x(t)}}

Solution : (i)  y(t) = x(3t)

put t = 1

y(1) = x(3)

hence the system is Non-causal as output y(1) depends on future input x(3).

Solution : (ii)   y(t) = x(-t)

put t = – 1

y(-1) = x(1)

hence the system is Non-causal as output y(-1) depends on future input x(1).

Solution : (iii)   y(t) = {e^{x(t)}}

The system is causal as output y(t) depends on present input x(t) only.

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