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Advanced and Inverse Laplace Transforms

Beware that, when fighting monsters, you yourself do not become a monster… for when you gaze long into the abyss. The abyss gazes also into you, Friedrich W. Nietzsche

Advanced and Inverse Laplace Transforms

Laplace Transform

The Laplace Transform of a function f(t), where t ≥ 0, is defined as $\mathcal{L}(f(t)) = \int_{0}^{∞} f(t)e^{-st}dt = F(s)$.

One of the most important properties of the Laplace Transform is linearity, which states: $\mathcal{L}(af(t)+bg(t)) = a\mathcal{L}(f(t))+b\mathcal{L}(g(t))$

Advanced Laplace Transforms

We can extend the exponential shift formula to complex exponents. Let $a, b \in \mathbb{R}$, and consider the function $e^{(a+bi)t}$.

$$\mathcal{L}\{e^{(a+bi)t}\} = \int_{0}^{\infty} e^{(a+bi)t}e^{-st} dt$$

Combine the exponents into the form $e^{-ct}$, where $c = s - a - ib$: $= \int_{0}^{\infty} e^{-(s-a-ib)t} dt$

Evaluate the integral: $\int_{0}^{∞} e^{-ct}dt = -\frac{1}{c}e^{-ct}\bigg|_{0}^{∞} =-\frac{1}{s -a -ib}e^{-(s -a -ib)t}\bigg|_{0}^{∞}$

Apply the limits: As $t \to \infty, e^{-(s -a -ib)t} = e^{-(s-a)t} \cdot e^{ibt} → 0$ 💡 assuming s > a. t = 0, $e^{-(s -a -ib)·0} = 1.$

💡 The $e^{ibt}$ part is just oscillating between -1 and 1 (it’s cos(bt) + i·sin(bt)), $|e^{ibt}|=1$, so it doesn’t affect whether the overall expression blows up or shrinks to zero. The key part is $e^{-(s-a)t}$. For this to approach zero as t approaches infinity, we need the exponent to be negative, i.e., -(s - a) < 0 ↭ s -a > 0 ↭ s > a

With s > a, the upper bound goes to 0, and the lower bound (t = 0) evaluates to 1: $\mathcal{L}(e^{(a+bi)t}) = -\frac{1}{s -a -ib}·0 +\frac{1}{s -a -ib}·1 = \frac{1}{s -a -ib}$

$\mathcal{L}(e^{(a+bi)t}) = \frac{1}{s-(a+ib)}$ valid for s > a, or alternatively, $e^{(a+bi)t} \leadsto \frac{1}{s-(a+bi)}$.

Thus, the complex exponential function e(a + bi)t transforms into $\frac{1}{s-(a+bi)}$, demonstrating a direct application of the exponential shift formula with a complex shift.

Instead of using tedious integration by parts, we can use our new complex exponential transform alongside Euler’s Formula: $e^{iat} = cos(at) + isin(at), e^{-iat} = cos(at) - isin(at)$

From these, we can express the trigonometric functions in terms of exponentials: $cos(at) = \frac{e^{iat}+e^{-iat}}{2}, sin(at) = \frac{e^{iat}-e^{-iat}}{2i}$

$cos(at) =[\text{Euler's formula}] \frac{e^{iat}+e^{-iat}}{2}, \mathcal{L}(cos(at)) =[\text{By linearity of the Laplace Transform}, e^{(a+bi)t} \leadsto \frac{1}{s-(a+bi)}] \frac{1}{2}(\frac{1}{s-ia}+\frac{1}{s+ia}) =$

Find a common denominator: $= \frac{1}{2}·\frac{(s+ia)+(s-ia)}{(s-ia)(s+ia)} = \frac{1}{2}\frac{s+ia+s-ia}{s^2+a^2} = \frac{1}{2}\frac{2s}{s^2+a^2} = \frac{s}{s^2+a^2}, cos(at) \leadsto \frac{s}{s^2+a^2}$ where s > 0.

$sin(at) =[\text{Euler's formula}] \frac{e^{iat}-e^{-iat}}{2i}, \mathcal{L}(sin(at)) =[\text{By linearity of the Laplace Transform}, e^{(a+bi)t} \leadsto \frac{1}{s-(a+bi)}] \frac{1}{2i}(\frac{1}{s-ia}-\frac{1}{s+ia})$

Find a common denominator: $= \frac{1}{2i}\frac{(s+ia)-(s-ia)}{s^2+a^2} = \frac{1}{2i}\frac{2ia}{s^2+a^2} =[\text{The 2i terms cancel out gracefully:}] \frac{a}{s^2+a^2}$.

Thus, the Laplace Transform of sin(at) is: $sin(at) \leadsto \frac{a}{s^2+a^2}$. This result is also valid for s > 0.

IMPORTANT: When we used Euler’s formula to break down $\cos(at)$ and $\sin(at)$, we transformed them into a combination of $\mathcal{L}\{e^{iat}\}$ and $\mathcal{L}\{e^{-iat}\}$. If we look at the integral definition for just one of those complex components: $\mathcal{L}\{e^{iat}\} = \int_{0}^{\infty} e^{iat} e^{-st} dt = \int_{0}^{\infty} e^{-(s-ia)t} dt$

To evaluate this improper integral, we look at the limit as the upper bound approaches infinity: $\lim_{R \to \infty} \left[ \frac{e^{-(s-ia)t}}{-(s-ia)} \right]_{0}^{R} = \lim_{R \to \infty} \left( \frac{e^{-(s-ia)R}}{-(s-ia)} \right) - \left( \frac{1}{-(s-ia)} \right)$. For the integral to converge to a finite number, that first term must approach zero as $R \to \infty$, and this requires s > 0.

Table of Common Laplace Transforms

The following table summarizes the most frequent mappings used in system analysis.

Function Laplace Transform
Unit Step, u(t) $\mathcal{L}(u(t)) = \frac{1}{s}, s > 0$
Exponential, $e^{at}$ $\frac{1}{s - a}, s > a$
Complex Exp $e^{(a + bi)t}$ $\mathcal{L}(e^{(a + bi)t}) = \frac{1}{s - (a + bi)}, s > a$
Cosine $\cos(\omega t)$ $\mathcal{L}(\cos(\omega t)) = \frac{s}{s^2 + \omega^2}, s > 0$
Sine $\sin(\omega t)$ $\mathcal{L}(\sin(\omega t)) = \frac{\omega}{s^2 + \omega^2}, s > 0$
Power, $t^n$ $\mathcal{L}(t^n) = \frac{n!}{s^{n+1}}, s > 0$
Delayed Step, $u(t-a)$ $\mathcal{L}(u(t-a)) = \frac{e^{-as}}{s}, s > 0$
Dirac Delta $\delta(t-a)$ $\mathcal{L}(\delta(t-a)) = e^{-as}, a \geq 0$
$\frac{1}{t}$ $\mathcal{L}\left(\frac{1}{t}\right) = \text{not defined}$
$e^{-bt} \cos(\omega t)$ $\mathcal{L}(e^{-bt} \cos(\omega t)) = \frac{s + b}{(s + b)^2 + \omega^2}, s > -b$
$e^{-bt} \sin(\omega t)$ $\mathcal{L}(e^{-bt} \sin(\omega t)) = \frac{\omega}{(s + b)^2 + \omega^2}, s > -b$
$e^{at}f(t)$ $\mathcal{L}(e^{at}f(t)) = F(s-a)$

Key Operational Properties

  1. Linearity $\mathcal{L}\{a \cdot f(t) + b \cdot g(t)\} = a \cdot F(s) + b \cdot G(s)$
  2. First and Second Derivatives: $\mathcal{L}\{f'(t)\} = sF(s) - f(0)$, $\mathcal{L}\{f''(t)\} = s^2F(s) - sf(0) - f'(0)$, and $\mathcal{L}\{f^{(n)}(t)\} = s^n F(s) - s^{n-1}f(0) - s^{n-2}f'(0) - \dots - f^{(n-1)}(0)$
  3. Time Integration: $\mathcal{L}\left\{ \int_{0}^{t} f(\tau) d\tau \right\} = \frac{1}{s}F(s)$
  4. First Shifting Theorem (Frequency Shift): $\mathcal{L}\{e^{at}f(t)\} = F(s - a)$
  5. Second Shifting Theorem (Time Shift / Delay): $\mathcal{L}\{f(t-a)u(t-a)\} = e^{-as}F(s) \quad \text{for } a \ge 0$, $\mathcal{L}\{f(t)u(t-a)\} = e^{-as}\mathcal{L}\{f(t+a)\}$
  6. Time Scaling $\mathcal{L}\{f(at)\} = \frac{1}{a}F\left(\frac{s}{a}\right) \quad \text{for } a > 0$
  7. Frequency Differentiation (Multiplication by $t$): $\mathcal{L}\{t \cdot f(t)\} = -F'(s) = -\frac{d}{ds}F(s)$, $\mathcal{L}\{t^n f(t)\} = (-1)^n \frac{d^n}{ds^n}F(s)$.
  8. Frequency Integration (Division by $t$): $\mathcal{L}\left\{\frac{f(t)}{t}\right\} = \int_{s}^{\infty} F(u) du$

Fourier Series

Advanced Laplace Transform Properties

The Time Scaling Property: $\mathcal{L}\{f(at)\}$

f you compress or expand a function in the time domain by a factor of $a$ (where $a > 0$), how does it affect the frequency domain ($s$-domain)?

Theorem: $\mathcal{L}\{f(at)\} = \frac{1}{a}F\left(\frac{s}{a}\right)$

By definition, the Laplace transform of $f(at)$ is: $\mathcal{L}\{f(at)\} = \int_{0}^{\infty} e^{-st}f(at)dt$

We perform a change of variables to simplify the argument of the function. Let $u = at$. Then, $du = a \, dt \implies dt = \frac{du}{a}$.

The bounds remain the same: When $t = 0, u = 0$. When $t \to \infty, u \to \infty$.

Substituting these into our integral, we get: $\int_{0}^{\infty} e^{-s\left(\frac{u}{a}\right)} f(u) \frac{du}{a} = \frac{1}{a} \int_{0}^{\infty} e^{-\left(\frac{s}{a}\right)u} f(u) du$

Recognizing that the integral on the right is simply the definition of the Laplace Transform evaluated at $\frac{s}{a}$ instead of $s$, we get: $\mathcal{L}\{f(at)\} = \frac{1}{a}F\left(\frac{s}{a}\right)$

Example Application: Find $\mathcal{L}\{\sin(bt)\}$

We know the base transform: $\mathcal{L}\{\sin(t)\} = \frac{1}{s^2+1} = F(s)$.

Using the scaling property with $a = b$: $\mathcal{L}\{\sin(bt)\} = \frac{1}{b}F\left(\frac{s}{b}\right) = \frac{1}{b} \cdot \frac{1}{\left(\frac{s}{b}\right)^2+1}$

Multiply the numerator and denominator by $b^2$ to simplify: $= \frac{1}{b} \cdot \frac{b^2}{s^2+b^2} = \frac{b}{s^2+b^2}$

Division by $t$ (Frequency Integration)

Just as multiplying by $t$ in the time domain leads to differentiation in the $s$-domain, dividing by $t$ leads to integration in the $s$-domain.

Theorem: $\mathcal{L}\left\{\frac{f(t)}{t}\right\} = \int_{s}^{\infty} F(u)du$

Derivation:

We aim to calculate $\mathcal{L}\left\{\frac{f(t)}{t}\right\} = \int_{0}^{\infty} e^{-st}\frac{f(t)}{t}dt$.

First, we use a clever calculus trick to express the term $\frac{e^{-st}}{t}$ as an integral over a dummy variable $u$: $\int_{s}^{\infty} e^{-ut}du = \left[ \frac{e^{-ut}}{-t} \right]_{s}^{\infty} = 0 - \left( \frac{e^{-st}}{-t} \right) = \frac{e^{-st}}{t}$

Now, substitute this integral representation back into the original Laplace definition: $\mathcal{L}\left\{\frac{f(t)}{t}\right\} = \int_{0}^{\infty} \left( \int_{s}^{\infty} e^{-ut}du \right) f(t)dt$

Next, interchange the order of integration (integrating with respect to $t$ first, then $u$): $= \int_{s}^{\infty} \left( \int_{0}^{\infty} e^{-ut}f(t)dt \right) du$

The inner integral is exactly the definition of the Laplace Transform $F(u)$. $= \int_{s}^{\infty} F(u)du$

Example Application: Find $\mathcal{L}\left\{\frac{\sin(t)}{t}\right\}$

We know $f(t) = \sin(t) \implies F(s) = \frac{1}{s^2+1}$. Replacing $s$ with our dummy variable $u$, we integrate:

$$\mathcal{L}\left\{\frac{\sin(t)}{t}\right\} = \int_{s}^{\infty} \frac{1}{u^2+1}du = \Big[ \tan^{-1}(u) \Big]_{s}^{\infty}$$

Evaluate the limits (noting that as $u \to \infty, \tan^{-1}(u) \to \frac{\pi}{2}$): $\mathcal{L}\left\{\frac{\sin(t)}{t}\right\} =[\cdots] = \tan^{-1}(\infty) - \tan^{-1}(s) = \frac{\pi}{2} - \tan^{-1}(s)$

Inverse Laplace Transforms ($\mathcal{L}^{-1}$)

The goal of the Inverse Laplace Transform is to map a function from the $s$-domain back to the time domain ($t$). This usually involves algebraically manipulating $F(s)$ into recognizable forms from the Laplace table.

Method 1: Partial Fraction Decomposition

Problem: Find $\mathcal{L}^{-1} \left\{ \frac{1}{s(s+3)} \right\}$

Step 1: Decompose the fraction. $\frac{1}{s(s+3)} = \frac{A}{s} + \frac{B}{s+3}$

Combine into a single fraction to solve for the numerators: $\frac{A(s+3) + Bs}{s(s+3)} = \frac{(A + B)s + 3A}{s(s+3)}$

Step 2: Solve for constants.

Match the numerator coefficients to the original fraction ($1 = 0s + 1$):

Step 3: Apply the inverse transform.

$$\mathcal{L}^{-1} \left\{ \frac{1/3}{s} - \frac{1/3}{s+3} \right\} = \frac{1}{3}\mathcal{L}^{-1}\left\{\frac{1}{s}\right\} - \frac{1}{3}\mathcal{L}^{-1}\left\{\frac{1}{s+3}\right\}$$

Using $1 \leadsto \frac{1}{s}$ and $e^{at} \leadsto \frac{1}{s-a}$: $= \frac{1}{3}(1) - \frac{1}{3}e^{-3t} = \frac{1}{3}(1 - e^{-3t})$

Method 2: The Exponential Shift (Reverse)

Problem: Find $\mathcal{L}^{-1} \left\{ \frac{2}{(s+1)^3} \right\}$

Recall two key properties: Polynomial rule: $\mathcal{L}\{t^n\} = \frac{n!}{s^{n+1}}$ and Exponential shift: $\mathcal{L}\{e^{at}f(t)\} = F(s-a)$

Looking at our target, it matches a polynomial where $n=2$ (since the denominator is $s^{2+1} = s^3$ and the numerator is $2! = 2, f(t) = \frac{2}{s^3}$). It also has a shift of $a = -1$.

$$\mathcal{L}^{-1} \left\{ \frac{2!}{(s - (-1))^3} \right\} = e^{-1t} \cdot t^2 = t^2 e^{-t}$$

Method 3: Completing the Square

Problem: Find $\mathcal{L}^{-1} \left\{ \frac{s}{s^2 - 2s + 5} \right\}$

Whenever the denominator is a quadratic that cannot be easily factored into real roots, complete the square to prepare it for a shifted sine/cosine transform.

Step 1: Complete the square in the denominator.

$s^2 - 2s + 5 = (s^2 - 2s + 1) + 4 = (s-1)^2 + 2^2$ So our fraction is now: $\frac{s}{(s-1)^2 + 2^2}$.

Step 2: Massage the numerator.

Because our denominator is shifted by $1$ (i.e., $(s-1)$), we must have an $(s-1)$ in the numerator to use the shifted cosine rule ($\frac{s-a}{(s-a)^2 + \omega^2}$).

We force this by subtracting and adding $1$ in the numerator: $\frac{s-1+1}{(s-1)^2 + 2^2} = \frac{s-1}{(s-1)^2 + 2^2} + \frac{1}{(s-1)^2 + 2^2}$

Step 3: Apply the inverse transform.

We use the shifted cosine and sine rules: $\mathcal{L}\{e^{at}\cos(\omega t)\} = \frac{s-a}{(s-a)^2 + \omega^2}$

$\mathcal{L}\{e^{at}\sin(\omega t)\} = \frac{\omega}{(s-a)^2 + \omega^2}$

For our expression, $a = 1$ and $\omega = 2$.

The first term perfectly matches the cosine rule.

The second term is missing the $\omega = 2$ in the numerator, so we multiply by $\frac{2}{2}$: $\mathcal{L}^{-1} \left\{ \frac{s-1}{(s-1)^2 + 2^2} + \frac{1}{2} \cdot \frac{2}{(s-1)^2 + 2^2} \right\} = e^t \cos(2t) + \frac{1}{2} e^t \sin(2t)$

Bibliography

This content is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License and is based on MIT OpenCourseWare [18.01 Single Variable Calculus, Fall 2007].
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