
Statement formula proof and conditions of Final Value Theorem
The Final Value Theorem is a fundamental tool in a circuit system working. It is based on Laplace functions and their transformation. So, to understand the final theorem, we need to have some idea about Laplace transformations. In this article, we will be discussing the final value theorem in depth. We will also discuss the application of the final value theorem in circuit systems and how problems related to the theorem can be solved will also be discussed in this article. Below is the figure which shows the state for a function:
Steady-state Function
History of Pierre-Simon Laplace
Pierre-Simon Laplace
Name: Pierre-Simon Laplace
Born: 23 March 1749
Died: 5 March 1827
Field: Mathematics
Nationality: French
Statement of the Final Value Theorem
The final value theorem states that if $x$ is any function of $t$ and Laplace transformation of $x$ is denoted as X(s), i.e., \[x(t) \underrightarrow{L T} X(s)\]
then,
$\mathop{\lim}\limits_{t \rightarrow \infty}x(t)=x(\infty)=\mathop{\lim}\limits_{s \rightarrow 0}sX(s)$
Here, LT represents Laplace Transformation.
Proof of the Final Value Theorem
From the definition of the unilateral Laplace transform, we have
$L[x(t)]=X(s)=\int_{0}^{\infty} x(t) e^{-s t} d t$
Taking differentiation with respect to time on both sides, we get $L\left[\dfrac{d x(t)}{d t}\right]=\int_{0}^{\infty} \dfrac{d x(t)}{d t} e^{-s t} d t$
Now, by the time differentiation property, i.e., $\dfrac{d x(t)}{d t} \underrightarrow{L T}\:s X(s)-x\left(0^{-}\right)$ of Laplace transform, we have
$L\left[\dfrac{d x(t)}{d t}\right]=\int_{0}^{\infty} \dfrac{d x(t)}{d t} e^{-s t} d t=s X(s)-x\left(0^{-}\right)$
By taking the $\mathop{\lim}\limits_{s \rightarrow 0}$ on both sides of the above expression, we get
$\mathop{\lim}\limits_{s\to0}[\int_{0}^{\infty}\dfrac{\text{d}x(t)}{\text{d}t}e^{-st}dt]=\mathop {\lim }\limits_{s \to0}[sX(s)-x(0^{-})]$
$\Rightarrow \int_{0}^{\infty} \dfrac{d x(t)}{d t} d t=\mathop{\lim}\limits _{s \rightarrow 0}\left[s X(s)-x\left(0^{-}\right)\right]$
$\Rightarrow[x(t)]_{0}^{\infty}=\mathop{\lim}\limits _{s \rightarrow 0}\left[s X(s)-x\left(0^{-}\right)\right]$
$\Rightarrow x(\infty)-x\left(0^{-}\right)=\mathop{\lim}\limits_{s \rightarrow 0}\left[s X(s)-x\left(0^{-}\right)\right]$
$\Rightarrow x(\infty)=\mathop{\lim}\limits_{s \rightarrow 0} s X(s)$
Therefore, we have
$\mathop{\lim}\limits_{t \rightarrow \infty} x(t)=x(\infty)=\mathop{\lim}\limits_{s \rightarrow 0} s X(s)$
Limitations of the Final Value Theorem
The Final Value theorem does not apply when the Laplace transform has imaginary but non-zero poles as the limit of time response does not exist.
The Final Value theorem does not apply when the pole is in the right half plane.
Applications of the Final Value Theorem
The Final Value theorem has wide application in electronic devices or circuits.
The Final Value theorem is used to find the steady or transient state of a function.
The Final Value theorem is used to find the transient state gain of a wash-out function.
Solved Examples
1. What is the steady state value of f(t), if it is known that $F(s)=\dfrac{2}{s(s+1)(s+2)(s+3)}$.
Ans: From the equation of $F(s)$, we can infer that a simple pole is at the origin and all other poles are having negative real parts.
$\therefore f(\infty)=\mathop{\lim}\limits_{s \rightarrow 0} s F(s) $
$\Rightarrow f(\infty)=\mathop{\lim}\limits_{s \rightarrow 0} \dfrac{2 s}{s(s+1)(s+2)(s+3)} $
$\Rightarrow f(\infty)=\dfrac{2}{(s+1)(s+2)(s+3)} $
$\Rightarrow f(\infty)=\dfrac{2}{6} $
$\Rightarrow f(\infty)=\dfrac{1}{3}$
2. What will be the inverse Laplace transform of \[F(s)=\dfrac{2}{s^{2}+3 s+2}\]?
Ans: $s^{2}+3 s+2=(s+2)(s+1)$
Now, $F(s)=\dfrac{A}{(s+2)}+\dfrac{B}{(s+1)}$
Hence, $A=\left.(s+2) F(s)\right|_{s=-2}$
$\Rightarrow A=\left.\dfrac{2}{s+1}\right|_{s=-2}$
$\Rightarrow A=-2$
And, $B=\left.(s+1) F(s)\right|_{s=-1}$
$\Rightarrow B=\left.\dfrac{2}{s+2}\right|_{s=-1}$
$\Rightarrow B=2\\$
$\therefore F(s)=\dfrac{-2}{(s+2)}+\dfrac{2}{(s+1)} $
$\therefore F(t)=L^{-1}\{F(s)\} $
$\Rightarrow F(t)=-2 e^{-2 t}+2 e^{-t} \text { for } t \geq 0$
3. What will be the inverse Laplace transform of $F(s)=\dfrac{2}{s+c} e^{-b s}$?
Ans: $\text { Let } G(s)=\dfrac{2}{s+c} $
$\text { Or, } G(t)=L^{-1}\{G(s)\} $
$\Rightarrow G(t)=2 e^{-c} $
$\therefore F(t)=L^{-1}\left\{G(s) e^{-b s}\right\} $
$\Rightarrow F(t)=2 e^{-k(t-b)} u(t-b)$
Important Formulas to Remember
If $x(t)\:\underrightarrow{L T}\:X(s)$,
Then $\mathop{\lim}\limits_{t \rightarrow \infty} x(t)=x(\infty)=\mathop{\lim}\limits_{s \rightarrow 0} s X(s)$
Laplace transformation: $L[f(t)]=F(s)=\int_{0}^{\infty} f(t) e^{-s t} d t$
Important Points to Remember
Laplace transformation is an essential tool to learn the final value theorem.
Circuit Diagrams and electric circuits are based on the application of the final value theorem.
Conclusion
The Final Value Theorem has a wide range of applications in daily life and it is a fundamental tool for functional analysis and electrical circuits. In the above article, we have discussed the Final Value theorem in brief, and the limitations of the theorem are also discussed. So, in short, we can say that the Final Value theorem forms a vital component of our life and makes our day-to-day work easy.
FAQs on Final Value Theorem in Laplace Transform Explained
1. What is the Final Value Theorem of Laplace Transform?
The Final Value Theorem (FVT) states that if F(s) is the Laplace transform of f(t), then limt→∞ f(t) = lims→0 sF(s), provided certain stability conditions are satisfied.
- It helps find the steady-state value of a function directly from its Laplace transform.
- The limit exists only if all poles of sF(s) lie in the left half of the complex plane, except possibly at s = 0.
- It is widely used in control systems and signal processing.
2. What is the formula for the Final Value Theorem?
The formula for the Final Value Theorem is limt→∞ f(t) = lims→0 sF(s).
- Here, F(s) is the Laplace transform of f(t).
- You multiply F(s) by s and then evaluate the limit as s approaches 0.
- The result gives the steady-state (final) value of the time-domain function.
3. What are the conditions for applying the Final Value Theorem?
The Final Value Theorem can be applied only if all poles of sF(s) lie in the left half-plane, except possibly a simple pole at s = 0.
- No poles should lie in the right half-plane.
- No repeated poles should occur on the imaginary axis.
- If these conditions are violated, the final value may not exist.
4. How do you use the Final Value Theorem to find steady-state value?
To find the steady-state value using the Final Value Theorem, compute lims→0 sF(s).
- Step 1: Identify the Laplace transform F(s).
- Step 2: Multiply F(s) by s.
- Step 3: Take the limit as s → 0.
- Step 4: Ensure stability conditions are satisfied.
5. Can you give an example of the Final Value Theorem?
Yes, for F(s) = 10/(s(s+3)), the final value is found using lims→0 sF(s).
- sF(s) = s × 10/(s(s+3)) = 10/(s+3).
- Now take the limit as s → 0.
- lims→0 10/(s+3) = 10/3.
6. Why does the Final Value Theorem sometimes fail?
The Final Value Theorem fails when the system is unstable or when poles of sF(s) lie in the right half-plane or on the imaginary axis.
- If there is a pole with positive real part, the function grows unbounded.
- If there are repeated poles at s = 0 or imaginary axis poles, oscillations may occur.
- In such cases, the limit as t → ∞ does not exist.
7. What is the difference between Initial Value Theorem and Final Value Theorem?
The Initial Value Theorem finds f(0⁺), while the Final Value Theorem finds limt→∞ f(t).
- Initial Value Theorem: f(0⁺) = lims→∞ sF(s).
- Final Value Theorem: limt→∞ f(t) = lims→0 sF(s).
- The initial value uses s → ∞, whereas the final value uses s → 0.
8. Is the Final Value Theorem applicable to unstable systems?
No, the Final Value Theorem is not applicable to unstable systems because the final value does not exist.
- If any pole of sF(s) has positive real part, the function diverges.
- The theorem requires system stability.
- Always check pole locations before applying the theorem.
9. What is the physical meaning of the Final Value Theorem?
The physical meaning of the Final Value Theorem is that it gives the steady-state output of a system as time approaches infinity.
- It predicts the long-term behavior of signals or control systems.
- In engineering, it determines the final output after transients die out.
- It avoids inverse Laplace transform calculations.
10. How do you check stability before applying the Final Value Theorem?
To check stability, ensure all poles of sF(s) have negative real parts, except possibly a simple pole at s = 0.
- Find the denominator of sF(s).
- Solve for its roots (poles).
- Confirm that every pole lies in the left half-plane.





















