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).
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.