The final value theorem lets you read off the steady-state value of a signal directly from its Laplace transform, without inverting:

provided the time-domain limit on the left exists.

What “if the limit exists” means

The condition is essential. If is a pure sinusoid, doesn’t exist (it just oscillates forever), but as anyway, so the FVT would say the limit is . Wrong — the limit doesn’t exist.

The FVT only gives nonsense in this kind of case. The rule of thumb: it’s valid when all poles of are in the open left half-plane (with the possible exception of a single pole at , which has cancelled). Sinusoidal poles on the imaginary axis (like ) make the FVT invalid.

Worked example

For a control system with step input where :

So the steady-state value is . Check by inverting (partial fractions, etc.): for , and indeed . ✓

The transient terms and decay; the constant remains.

When it’s useful

The FVT is the standard tool for finding the DC gain or steady-state response of an LTI system to a step input. For a unit-step input with transfer function :

So the DC gain is the steady-state response to a unit step. This appears in every control-system analysis.

Beware of misuse

A common mistake is applying the FVT to systems with poles in the right half-plane (unstable) or on the imaginary axis (oscillatory). For these, doesn’t exist, but may still have a finite limit at , leading to a wrong answer.

Always check pole locations before applying the FVT. All poles of must be in the open left half-plane.

See also

The companion Initial value theorem gives — useful for the initial transient.

For an alternative way to find the steady-state response to a sinusoidal input (which the FVT doesn’t apply to), use the frequency response directly.