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Today, we will recap the Laplace Transform. Can anyone tell me its basic definition?
Um, it's the integral of a function multiplied by an exponential decay term?
Exactly! The definition is $L\{f(t)\}=F(s)=\int_0^{\infty} e^{-st} f(t) dt$. This is a powerful tool in engineering mathematics.
What is it typically used for?
Great question! Itβs especially useful for solving differential equations in systems like electrical circuits.
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Let's dive into the theorem regarding integrals. The theorem states if $L\{f(t)\}=F(s)$, then $L\{ \int_0^t f(\tau)d\tau\} = \frac{F(s)}{s}$. Can someone explain what that means?
It means we can find the Laplace Transform of an integral by dividing the original transform by $s$.
Exactly! This transformation is key in simplifying problems involving integrals in systems analysis.
Why is this useful in applications?
This theorem is vital for solving integro-differential equations and analyzing systems that involve accumulative processes, like capacitor charging. It streamlines calculations.
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Now, let's prove the theorem. We start with the integral $g(t) = \int_0^t f(\tau)d\tau$. How do we start to find its Laplace Transform?
We need to take the Laplace Transform of $g(t)$!
Exactly! $L\{g(t)\}=\int_0^{\infty} e^{-st} g(t) dt$. How do we express $g(t)$ in this integral?
By substituting it into the integral, we get $L\{g(t)\}=\int_0^{\infty} e^{-st}\int_0^{t} f(\tau)d\tau dt$.
Perfect! Now we can exchange the order of integration using Fubini's Theorem. This gives us $\,\int_0^{\infty} f(\tau) \int_{\tau}^{\infty} e^{-st} dt d\tau$. What does the inner integral evaluate to?
It evaluates to $\frac{e^{-s\tau}}{s}$?
Great! Thus, we conclude that $L\{g(t)\}=\int_0^{\infty} f(\tau)e^{-s\tau}d\tau = \frac{F(s)}{s}$. Well done!
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Letβs apply what weβve learned! If we need to find the Laplace Transform of the integral $g(t)=\int_0^t sin(a\tau)d\tau$, how do we start?
We start with $f(t)=sin(a t)$, then find $F(s)$.
Exactly! What is $F(s)$?
$F(s)=\frac{a}{s^2 + a^2}$, and then, using the theorem...
You would get $L\{\int_0^t sin(a\tau)d\tau\} = \frac{\frac{a}{s^2 + a^2}}{s}$. Excellent work!
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The Laplace Transform proves critical in solving differential equations, especially within electrical and control systems. This section focuses on providing a theorem that links the Laplace Transform of a function's integral to its original transform, along with proofs and relevant applications.
The section discusses the critical theorem that relates the Laplace Transform of an integral of a function with its original transform. Providing the definition of the Laplace Transform,
$$L\{f(t)\}=F(s)=\int_0^{\infty} e^{-st} f(t) dt$$
it then defines a new function as an integral of another function, $g(t)=\int_0^t f(\tau)d\tau$. The theorem concludes that if $L\{f(t)\}=F(s)$, then $L\{g(t)\}= \frac{F(s)}{s}$.
This theorem is crucial as it simplifies the process of finding the Laplace Transform of integral expressions, making it easier to analyze systems that involve accumulation, such as capacitors and other dynamic systems. Examples illustrate the use of this theorem in solving practical problems.
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Let f(t) be a piecewise continuous function for tβ₯0 and of exponential order.
Define another function as:
g(t)=β«f(Ο)dΟ
0
Here, we begin by defining the function f(t), which represents a piecewise continuous function for non-negative values of t and is of exponential order. This essentially means that the function doesnβt grow infinitely fast. Then, we introduce a new function g(t), which is defined as the integral of f(Ο) from 0 to t. This new function g(t) is essential as we aim to find its Laplace Transform.
Think of f(t) as the speed of a car over time. Over a certain period, the speed can change (piecewise continuous), but it doesn't accelerate to an infinite speed. The function g(t) represents the total distance covered by the car from the start (t=0) to time t. Thus, calculating g(t) helps us understand the accumulation of distance over time.
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β
Theorem: Laplace Transform of an Integral
If L{f(t)}=F(s), then
{t }
F(s)
L β«f(Ο)dΟ =
s
0
This theorem states that if we know the Laplace Transform of the function f(t) is F(s), then the Laplace Transform of the integral of f(Ο) from 0 to t can be computed by dividing F(s) by s. This relationship is significant because it connects the operations of integration and transformation, simplifying the process of solving differential equations involving integrals.
Imagine you're collecting water in a bucket over time, where f(t) represents the flow rate of water into the bucket. The total amount of water in the bucket (g(t)) is the accumulation of all the water collected. The theorem tells us that if we know how to analyze the water flow (f(t) β F(s)), we can easily figure out how much water is in the bucket at any point in time by just adjusting our calculations (F(s)/s).
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Letβs denote:
g(t)=β«f (Ο)dΟ
0
Now, taking Laplace Transform of g(t),
β t
( )
L{g(t)}=β«eβst β«f(Ο)dΟ dt
0 0
Interchanging the order of integration (using Fubini's Theorem),
β β
( )
ΒΏβ«f(Ο) β«eβstdt dΟ
0 Ο
In this chunk, we begin the proof of the theorem by considering the expression of g(t) again. To find its Laplace Transform L{g(t)}, we express it as an integral. When we write L{g(t)}, we replace g(t) with its integral definition and utilize a double integral. Through Fubini's Theorem, we swap the order of integration. This is important as it allows us to address the inner integral separately, making the math tractable.
Consider organizing books on a shelf (g(t)). To find out how many books you've arranged at any time, you count the books repeatedly (the integral). By rearranging your counting method (changing the order of integration), you simplify the process and can tally faster, making calculations easier.
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Evaluating the inner integral:
β β
[β1 ] 1
β«eβstdt= eβst
=
eβsΟ
s s
Ο Ο
In this step, we specifically focus on evaluating the inner integral (the integral of e^(-st) dt). By integrating e^(-st), we arrive at a formula involving exponential decay. This step is crucial because it bridges our mathematical manipulation towards the final form of L{g(t)}, leading to establishing a relationship that includes s in the denominator.
Imagine you're measuring how quickly the scent of a perfume spreads (e^(-st)). As time passes (t increases), the scent becomes weaker. By mathematically determining how much scent is left (evaluating the integral), we can predict the scent's intensity over time, just as we can understand how it affects our calculations.
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So,
β 1 1 β F(s)
L{g(t)}=β«f(Ο)β
eβsΟdΟ= β«f(Ο)eβsΟdΟ=
s s s
0 0
Hence proved.
Here we conclude the proof by substituting the evaluated inner integral back into our expression for L{g(t)}. We find that it combines neatly into a single formula involving the Laplace Transform of f(Ο). The proof is complete as we derive that L{g(t)} equals the integral of f(Ο) multiplied by e^(-sΟ), demonstrating the theorem's validity.
Imagine you've collected all the data on a project (g(t)), and you've now translated that data into a usable format (the integral). The completed project (the proof) shows how efficiently you were able to transform raw data into meaningful insights. This final form (L{g(t)}) perfectly represents the value of your gathered information, just as accurately summarizing the real data does.
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This formula shows that integrating a function in the time domain corresponds to dividing its Laplace transform by s.
The key takeaway from the theorem is that there's a direct connection between integration in the time domain and transformation in the Laplace domain. Specifically, integrating a function f(t) results in its Laplace Transform F(s) being divided by s. This provides a powerful tool for simplifying problems that involve integration, especially in control and signal processing applications.
Just as you simplify tasks by breaking them down into manageable steps (integrating time), understanding that those steps correspond to a single simplified outcome in the end (transformed function) fosters efficiency and clarity in managing complex projects.
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Key Concepts
Laplace Transform: A method to solve differential equations using integrals in the time domain.
Integral Function: Transformation of an integral of a function leads to division of its Laplace transform by 's'.
Applications: Useful for systems with memory effects such as capacitors and integro-differential equations.
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Finding the Laplace Transform of an integral of sin(aΟ) leads to L{β«sin(aΟ)dΟ} = (a)/(s(sΒ² + aΒ²)).
For the function e^(2Ο), L{β«e^(2Ο)dΟ} = 1/(s(s - 2)).
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
When integration's the plan, just think of 's' in the span! Laplace makes it neat, for calculus so sweet!
Imagine a lake representing a system's energy. As water flows in, the integral represents accumulationβLaplace shows how it transfers to the energy space with ease!
Remember: I.D.E.A. - Integrate, Divide, Execute, Apply for solving integrals using the theorem!
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Review the Definitions for terms.
Term: Laplace Transform
Definition:
An integral transform used to convert a time-domain function into a complex frequency domain function.
Term: Piecewise Continuous Function
Definition:
A function defined over an interval which has a finite number of discontinuities.
Term: Exponential Order
Definition:
A function is of exponential order if it does not grow faster than an exponential function for large argument values.
Term: Fubini's Theorem
Definition:
A theorem stating that under certain conditions, the order of integration in a double integral can be interchanged.