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Laplace Transform of the First Derivative
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Today, we will learn how to transform the first derivative of a function using the Laplace Transform. Can anyone remind me what the formula is for the Laplace Transform of a function f(t)?
Isn't it L{f(t)} = β«[0 to β] e^{-st} f(t) dt?
That's correct! Now, if we consider the first derivative fβ²(t), we can express its Laplace Transform as L{fβ²(t)} = sF(s) - f(0). Let's discuss why we subtract f(0).
So, we need to subtract the initial value of the function at t=0 to account for the starting point of the derivative?
Exact! Remembering this helps us link the transformation with initial conditions, commonly denoted with the acronym LODβLeading to Original Derivative.
LOD. Iβll remember that! Can we see an example of this in practice?
Absolutely! Let's work on finding L{t}. By the formula, we should find L{t} = 1/sΒ². Anyone want to give it a try?
If L{t} = 1/sΒ², then using the first derivative rule, we get L{(dt/dt)} = s(1/sΒ²) - 0 = 1/s.
Great job! To conclude this session, remember that L{fβ²(t)} gives us a way to connect the time domain with the frequency domain effectively. Let's move on to the second derivative next.
Laplace Transform of the Second Derivative
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Now, let's discuss the second derivative's transform, L{fβ³(t)} = sΒ²F(s) - sf(0) - fβ²(0). Who can tell me the reasoning behind this formula?
We apply the transformation again to L{fβ²(t)} and then consider the initial conditions of both f(0) and fβ²(0).
Exactly right! By cumulative application of the Laplace Transform, we can see how conditions influence higher derivatives. Does anyone want to walk us through the proof?
We start with L{fβ²(t)} = sF(s) - f(0), then apply L again to both sides to get L{fβ³(t)}.
So it leads to: L{fβ³(t)} = s[sF(s) - f(0)] - fβ²(0)...
Exactly! What this shows is that the structure of these transforms reveals more than just a simple conversionβit encapsulates the essence of the system's conditions. Now, letβs summarize what weβve learned. Remember, each derivative increases the power of s and adds more initial conditions.
Laplace Transform of n-th Derivative
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We can generalize the Laplace Transform for any n-th derivative where L{f(n)(t)} = s^nF(s) - β from k=0 to n-1 [s^(n-1-k) f(k)(0)]. What does this formula represent?
It shows that we can handle multiple initial conditions depending on the order of derivative!
Exactly correct! This formula is incredibly powerful in applications, especially in control theory. Can anyone think of a real-life application where this might be utilized?
Maybe in engineering problems where we need to analyze the behavior of a system like an electrical circuit or mechanical system?
Yes! Systems such as oscillations in electrical circuits or even systems in mechanical engineering can benefit immensely from using these transforms. Letβs focus on an example where we need to find the Laplace Transform of a higher order. How about we start with f(t) = t^n?
From what we learned, if we use the general formula, we can derive the result much faster! Thatβs powerful!
Indeed! Very well summarized! So, letβs proceed to look at some example problems to solidify this understanding.
Introduction & Overview
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Quick Overview
Standard
The section provides a comprehensive overview of how the Laplace Transform is used to convert derivatives into algebraic forms. Key formulas for first, second, and n-th derivatives are presented, along with example problems demonstrating their application in solving differential equations.
Detailed
Example Problems: Laplace Transform of Derivatives
The Laplace Transform is a fundamental tool in engineering and physical sciences for simplifying the process of solving differential equations. This section specifically focuses on the transformations for first, second, and n-th derivatives of functions defined for time, leading to easier algebraic forms that can be manipulated with standard algebraic methods.
Key Formulas:
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First Derivative:
L{fβ²(t)} = sF(s) - f(0)
This allows us to account for initial conditions explicitly in the transformation process. -
Second Derivative:
L{fβ³(t)} = sΒ²F(s) - sf(0) - fβ²(0)
By applying the transform successively, we build upon the initial conditions of the function. -
n-th Derivative:
L{f(n)(t)} = s^nF(s) - s^(n-1)f(0) - ... - f(n-1)(0)
This general formula encapsulates how we can handle any degree of derivative while maintaining the expression in an algebraic format, making it accessible for further analysis.
Example Applications:
The section illustrates these principles through example problems, showing how to find Laplace Transforms for common functions and derivatives. For instance, transforming a function like e^(2t)sin(3t) was shown to utilize an intermediate formula of the transform for products of exponentials and trigonometric functions. This illustrates the wide application and utility of Laplace Transforms in handling complex systems equations effectively.
Audio Book
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Example 1: Laplace Transform of t
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Find L{t} and L{(t)}
dt
1
ο· L{t}=
s2
1
ο· L{1}=
s
By derivative rule:
L{d}1 1
L{(t)} = s β
βt |_{t=0} =
dt s2
Detailed Explanation
In this example, we are tasked with finding the Laplace Transform of two functions: 't' and '1'. The Laplace Transform of 't' is derived directly by using a known result, yielding L{t} = 1/s^2. For the constant function '1', the transform is L{1} = 1/s. When we calculate the transform of the first derivative of 't', we use the derivative rule which leads us to L{(d/dt)(t)} and simplifies to s multiplied by the result of the transform of 't', evaluated at t=0.
Examples & Analogies
Think of the Laplace Transform as a recipe that converts a dish (a function) into a more manageable ingredient list (an algebraic form). Just like how you might simplify a recipe by noting that certain ingredients (constants like '1') just provide a base flavor, the transformations help simplify the work we need to do, making our mathematical cooking easier and quicker.
Example 2: Laplace Transform of e^(2t)sin(3t)
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Find L{e2tsin3t}
Use Laplace of derivatives indirectly if needed, but here:
L{eatf (t)}=F(sβa)
b 3
L{sinbt}= βL{e2tsin3t}=
s2 +b2
Detailed Explanation
This example illustrates how to find the Laplace Transform of the function e^(2t)sin(3t). We start by using a property of the Laplace Transform which states that if you have a function multiplied by an exponential term, you can adjust its transform accordingly. The formula used here, L{e^(at)f(t)} = F(s - a), indicates that we can shift our s variable by the coefficient of t in the exponent (which is 2 in this case). The transform of sin(3t) follows another known formula, leading to the complete expression for the transform of e^(2t)sin(3t).
Examples & Analogies
Imagine tuning a musical instrument. Just as adjusting the pitch can make a note sound clearer or more in harmony, applying the Laplace Transform adjusts the function into a form that is easier to 'play' with mathematically, allowing us to solve complex problems effortlessly, much like a musician simplifies a complicated piece of music.
Definitions & Key Concepts
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
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Laplace Transform of Derivatives: This concept allows us to translate differentiation into algebraic manipulations.
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Initial Value Problems: How initial conditions are essential in solving differential equations using Laplace Transforms.
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Transform Formulas: Key formulas for first, second, and n-th derivatives are essential for practical applications.
Examples & Real-Life Applications
See how the concepts apply in real-world scenarios to understand their practical implications.
Examples
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Example 1: For f(t) = t, L{t} = 1/sΒ².
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Example 2: For f(t) = e^(2t)sin(3t), utilize the Laplace of derivatives for calculation.
Memory Aids
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
π΅ Rhymes Time
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Laplace Transform's like a friend, turns f' into a simple blend.
π Fascinating Stories
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Once a differential equation wanted to be solved, it met the Laplace Transform and all its problems dissolved.
π§ Other Memory Gems
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Frying Small Eggs Fast (FSEF) - Where F = F(s), S = s, E = initial conditions for ease.
π― Super Acronyms
LOD stands for Leading to Original Derivative, capturing the essence of first derivative transformations.
Flash Cards
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Glossary of Terms
Review the Definitions for terms.
-
Term: Laplace Transform
Definition:
A mathematical operation that converts a time-domain function into a frequency-domain representation.
-
Term: Initial Conditions
Definition:
Values of a function and its derivatives at the beginning of the interval of interest, essential for solving differential equations.
-
Term: Derivative
Definition:
A measure of how a function changes as its input changes.
-
Term: nth Derivative
Definition:
The derivative of a function taken n times.