12.3.4 - Heaviside’s Expansion Formula (for distinct poles)
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Introduction to Heaviside’s Expansion Formula
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Today, we will explore Heaviside’s Expansion Formula, a powerful technique used in calculating inverse Laplace transforms of rational functions with distinct poles. Can anyone tell me what we understand by 'poles' in this context?
Are they the values of 's' that make the denominator zero?
Exactly! Each distinct pole corresponds to a solution of the denominator set to zero. This is critical for our formula because it dictates how we construct our inverse function.
How does the formula incorporate these poles?
Great question! The formula sums up contributions from each pole, weighted by how they interact with each other, giving us a complete view of the function's behavior. Remember: P.E. (Poles contribute to the function and we Weight their contributions).
Understanding the Formula
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Let's look at the formula: \( L^{-1} \{ F(s) \} = \sum_{i=1}^{n} \frac{P(a_i)e^{a_it}}{\prod_{j\neq i}(a_i - a_j)} \). What does every part stand for?
P(a_i) seems to represent the polynomial evaluated at the pole?
Correct! And what about \( \prod_{j\neq i}(a_i - a_j) \)?
It’s the product of the differences of the pole with all other poles? Right?
Exactly! This represents the scaling or normalization needed for each pole's contribution to the overall function, reinforcing our understanding of its impact.
Why do we need to sum these contributions?
Because the overall function could behave differently depending on the interactions of the poles, leading to a richer solution.
Example Application of Heaviside's Formula
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Let's apply Heaviside’s formula with an example: Find the inverse Laplace transform of \( F(s) = \frac{3s + 4}{(s-1)(s-2)} \). Who can begin this process?
First, we identify the poles: s = 1 and s = 2.
Correct! Now, evaluate \( P(s) \) at these poles. What do we find?
At s = 1, P(1) = 3(1) + 4 = 7, and at s = 2, P(2) = 3(2) + 4 = 10.
Good! Now plug these values into the formula. What will the contributions look like?
We'll have \( L^{-1} \{ F(s) \} = \frac{7e^{t}}{(1-2)} + \frac{10e^{2t}}{(2-1)} = -7e^{t} + 10e^{2t} \).
Excellent! This process illustrates how the formula allows us to derive the time-domain function systematically.
Introduction & Overview
Read summaries of the section's main ideas at different levels of detail.
Quick Overview
Standard
Heaviside’s Expansion Formula is a method for deriving the inverse Laplace transforms of rational functions with unique linear factors in the denominator. The formula expresses the transform in terms of its residues at the poles, facilitating effective retrieval of time-domain functions.
Detailed
Heaviside’s Expansion Formula (for distinct poles)
In this section, we delve into Heaviside's Expansion Formula, which is a crucial technique for calculating the inverse Laplace transform of rational functions characterized by distinct linear poles in the denominator. The formula enables us to express a rational function in terms of simpler, manageable fractions (partial fractions), making it easier to apply the properties of inverse Laplace transforms.
Formula Overview
If we have a rational function expressed as:
\[ F(s) = \frac{P(s)}{(s-a_1)(s-a_2)...(s-a_n)} \]
where \( P(s) \) is a polynomial and the factors \( (s-a_i) \) are distinct linear factors, then Heaviside's Expansion Formula states:
\[ L^{-1} \{ F(s) \} = \sum_{i=1}^{n} \frac{P(a_i)e^{a_it}}{\prod_{j\neq i}(a_i - a_j)} \]
This equation emphasizes how each term contributes to the complete inverse Laplace transform, factoring in its respective root and interactions with other terms. Understanding this formula is essential for effectively applying inverse transforms in various engineering and physics problems.
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Overview of Heaviside’s Expansion Formula
Chapter 1 of 3
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Chapter Content
For rational functions where the denominator has distinct linear factors, the formula gives:
Detailed Explanation
Heaviside's Expansion Formula is used when dealing with rational functions in which the denominator consists of distinct linear factors. It's particularly useful in the context of Inverse Laplace Transforms, allowing us to retrieve original time-domain functions from their Laplace-transformed forms.
Examples & Analogies
Imagine trying to deconstruct a complex recipe into simpler, individual ingredients. Each linear factor in the denominator can be thought of as a separate ingredient that contributes to the overall flavor of the dish. Understanding each one separately makes it easier to recreate the dish later.
Expression of the Rational Function
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Chapter Content
If
P(s)
F(s)= ,
(s−a1)(s−a2)...(s−an)
Detailed Explanation
The formula states that if we have a rational function represented as F(s) which consists of a polynomial P(s) divided by a product of linear factors (s - a1)(s - a2)...(s - an), the Inverse Laplace Transform can be computed using Heaviside's Expansion Formula. Each factor in the denominator indicates the locations of the poles that affect the behavior of the function.
Examples & Analogies
Think about a company that has different departments like sales, marketing, and finance, each representing a linear factor. The effectiveness of the company (the function) depends on how well each department (linear factor) performs. Understanding each department's contribution helps in optimizing overall company performance.
Application of the Formula
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Chapter Content
then:
n P(a_i)
L−1 {F(s)}= ∑ e^(a_it)
∏(a_i − a_j)
i=1 j≠i
Detailed Explanation
In applying Heaviside's Expansion Formula, the Inverse Laplace Transform results in a summation of exponential functions where each term involves the evaluation of P(s) at the location of the poles, represented as a_i. The product term accounts for the contributions from other poles, ensuring we capture the effects of all distinct poles accurately in the time domain.
Examples & Analogies
Imagine organizing a community event where different speakers (poles) discuss various topics. The overall impact of the event (the final result) is influenced not only by what each speaker individually shares, but also by how well they communicate alongside each other. The product term represents this interaction among multiple speakers.
Key Concepts
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Heaviside's Expansion Formula: A method for calculating the inverse Laplace transform for functions with distinct poles.
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Poles: Values that make the denominator of a rational function zero.
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Partial Fraction Decomposition: A technique used to simplify rational functions into sums of simpler fractions.
Examples & Applications
Given F(s) = (3s + 4) / ((s - 1)(s - 2)), applying Heaviside gives the inverse L = -7e^t + 10e^{2t}.
If F(s) = (s + 1) / (s^2 + 3s + 2), identifying poles and applying Heaviside's formula can simplify the inverse process.
Memory Aids
Interactive tools to help you remember key concepts
Rhymes
When you need poles to see, Heaviside's formula is the key!
Stories
Imagine a giant seesaw with distinct planks (poles) balanced perfectly; adding weights changes how it tilts—just like residues in a formula!
Memory Tools
Remember: P.E. (Poles contribute, we Evaluate contributions).
Acronyms
PRIME
Poles
Residues
Inverse
Magnitude
Evaluate.
Flash Cards
Glossary
- Heaviside's Expansion Formula
A method to find the inverse Laplace transform of rational functions with distinct linear factors.
- Poles
Values of 's' at which the function becomes undefined, usually where the denominator equals zero.
- Residue
The coefficient of the term in the expansion that corresponds to a given pole.
- Rational Function
A function represented as the ratio of two polynomials.
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