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A time-invariant (TIV) system is one whose output does not depend explicitly on time.

If the input signal x(t) produces an output y(t) then any time shifted input, x(t+δ), results in a time-shifted output y(t+δ)

This property can be satisfied if the transfer function of the system is not a function of time except expressed by the input and output. This property can also be stated in another way in terms of a schematic

If a system is time-invariant then the system block is commutative with an arbitrary delay.

Simple example

To demonstrate how to determine if a system is time-invariant then consider the two systems:

Since system A explicitly depends on t outside of x(t) and y(t), it is not time-invariant. System B, however, does not depend explicitly on t so it is time-invariant.

Formal example

A more formal proof of why system A & B from above differ is now presented. To perform this proof, the second definition will be used.

System A:

Start with a delay of the input xd(t)=x(t+δ)
y(t)=tx(t)
y1(t)=txd(t)=tx(t+δ)
Now delay the output by δ
y(t)=tx(t)
y2(t)=y(t+δ)=(t+δ)x(t+δ)
Clearly y1(t)y2(t), therefore the system is not time-invariant.

System B:

Start with a delay of the input xd(t)=x(t+δ)
y(t)=10x(t)
y1(t)=10xd(t)=10x(t+δ)
Now delay the output by δ
y(t)=10x(t)
y2(t)=y(t+δ)=10x(t+δ)
Clearly y1(t)=y2(t), therefore the system is time-invariant. Although there are many other proofs, this is the easiest.

Abstract example

We can denote the shift operator by 𝕋r where r is the amount by which a vector's index set should be shifted. For example, the "advance-by-1" system

x(t+1)=δ(t+1)*x(t)

can be represented in this abstract notation by

x~1=𝕋1x~

where x~ is a function given by

x~=x(t)t

with the system yielding the shifted output

x~1=x(t+1)t

So 𝕋1 is an operator that advances the input vector by 1.

Suppose we represent a system by an operator . This system is time-invariant if it commutes with the shift operator, i.e.,

𝕋r=𝕋rr

If our system equation is given by

y~=x~

then it is time-invariant if we can apply the system operator on x~ followed by the shift operator 𝕋r, or we can apply the shift operator 𝕋r followed by the system operator , with the two computations yielding equivalent results.

Applying the system operator first gives

𝕋rx~=𝕋ry~=y~r

Applying the shift operator first gives

𝕋rx~=x~r

If the system is time-invariant, then

x~r=y~r

See also