Laplace Transforms Classroom

95.1 Introduction to Laplace Transforms

The Laplace Transform is a powerful mathematical tool used to convert a function of a real variable $t$ (often time) to a function of a complex variable $s$ (complex frequency). It simplifies the process of solving linear differential equations, especially those with initial conditions.

  • Purpose:
    1. Transforms differential equations into algebraic equations.
    2. Simplifies the solution of initial value problems.
    3. Widely used in engineering (control systems, circuit analysis) and physics.
  • Key Idea: Converts operations in the time domain (differentiation, integration) into simpler operations (multiplication, division) in the s-domain.

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95.2 Definition of Laplace Transform

The Laplace Transform of a function $f(t)$, denoted as $\mathcal{L}\{f(t)\}$ or $F(s)$, is defined by the integral:

$$F(s) = \mathcal{L}\{f(t)\} = \int_{0}^{\infty} e^{-st} f(t) dt$$

where $s$ is a complex variable ($\sigma + i\omega$), and the integral converges for $\text{Re}(s) > a$ for some constant $a$.

  • $f(t)$: The function in the time domain (usually $t \ge 0$).
  • $F(s)$: The transformed function in the s-domain.
  • $e^{-st}$: The kernel of the transform.

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95.3 Linearity Property

The Laplace Transform is a linear operator. This means that the transform of a sum of functions is the sum of their transforms, and the transform of a constant times a function is the constant times the transform of the function.

Mathematically, for constants $a$ and $b$, and functions $f(t)$ and $g(t)$:

$$\mathcal{L}\{af(t) + bg(t)\} = a\mathcal{L}\{f(t)\} + b\mathcal{L}\{g(t)\} = aF(s) + bG(s)$$

This property is extremely useful as it allows us to break down complex functions into simpler parts, transform each part, and then combine the results.

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95.4 Elementary Function Transforms

Here are some common Laplace Transforms of elementary functions:

  • $\mathcal{L}\{1\} = \frac{1}{s}$
  • $\mathcal{L}\{t^n\} = \frac{n!}{s^{n+1}}$ (for $n=0, 1, 2, \dots$)
  • $\mathcal{L}\{e^{at}\} = \frac{1}{s-a}$
  • $\mathcal{L}\{\sin(at)\} = \frac{a}{s^2 + a^2}$
  • $\mathcal{L}\{\cos(at)\} = \frac{s}{s^2 + a^2}$

These basic transforms form the building blocks for transforming more complex functions using properties like linearity.

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95.5 Standard Transform Problems

Applying the definition and elementary transforms to find the Laplace Transform of various functions.

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96.1 Transform of $e^{at}f(t)$ (First Shifting Theorem)

The First Shifting Theorem, also known as the frequency shifting property, states that if $\mathcal{L}\{f(t)\} = F(s)$, then the Laplace Transform of $e^{at}f(t)$ is:

$$\mathcal{L}\{e^{at}f(t)\} = F(s-a)$$

This means that multiplying a function $f(t)$ by $e^{at}$ in the time domain corresponds to shifting the argument of its Laplace Transform $F(s)$ by $a$ in the s-domain.

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96.2 Transforms of $e^{at}f(t)$ (Examples)

Let's apply the First Shifting Theorem to some examples.

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96.3 Transforms of Derivatives

The Laplace Transform of derivatives is crucial for solving differential equations. It converts differentiation in the time domain to multiplication by $s$ in the s-domain, plus terms involving initial conditions.

  • First Derivative: $$\mathcal{L}\{f'(t)\} = sF(s) - f(0)$$
  • Second Derivative: $$\mathcal{L}\{f''(t)\} = s^2F(s) - sf(0) - f'(0)$$
  • General $n$-th Derivative: $$\mathcal{L}\{f^{(n)}(t)\} = s^nF(s) - s^{n-1}f(0) - s^{n-2}f'(0) - \dots - f^{(n-1)}(0)$$

Here, $f(0)$, $f'(0)$, etc., are the initial conditions of the function and its derivatives at $t=0$.

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96.4 Initial & Final Value Theorems

These theorems allow us to find the initial and final values of a function $f(t)$ directly from its Laplace Transform $F(s)$, without needing to perform the inverse Laplace Transform.

  • Initial Value Theorem:

    If $\mathcal{L}\{f(t)\} = F(s)$, and $\lim_{t \to 0} f(t)$ exists, then:

    $$\lim_{t \to 0} f(t) = \lim_{s \to \infty} sF(s)$$

    This theorem is useful for finding the initial value of a system's response.

  • Final Value Theorem:

    If $\mathcal{L}\{f(t)\} = F(s)$, and $\lim_{t \to \infty} f(t)$ exists (i.e., all poles of $sF(s)$ are in the left half of the s-plane, except possibly a single pole at $s=0$), then:

    $$\lim_{t \to \infty} f(t) = \lim_{s \to 0} sF(s)$$

    This theorem is useful for finding the steady-state value of a system's response.

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