Can You Master This Week's Challenge on Laplace Transforms and Convolution?

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In summary, Laplace Transforms and convolution are mathematical operations used in engineering and physics to analyze and solve differential equations. They are often used together in problem-solving, with the Laplace Transform of a convolution being the product of the Laplace Transforms of the individual functions. The purpose of solving problems involving these operations is to find solutions to differential equations, which have practical applications in fields such as electrical engineering and signal processing. To approach solving a problem involving Laplace Transforms and convolution, it is important to clearly define the problem and identify the functions involved, then use the properties of these operations to simplify the problem and find the solution.
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Chris L T521
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Thanks to those who participated in last week's POTW! Here's this week's problem!

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Problem: Let $f,g:[0,\infty)\rightarrow\mathbb{R}$ be two functions, and let $F(s)$ and $G(s)$ denote their Laplace Transforms. Show that
\[F(s)G(s)=\int_0^{\infty} e^{-st}h(t)\,dt\]
where $h(t) = \int_0^t f(t-\tau)g(\tau)\,d\tau$ (the convolution of $f$ with $g$).

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Hint:
Start with the double integral
\[F(s)G(s)=\int_0^{\infty}\int_0^{\infty}e^{-s(x+y)}f(x)g(y)\,dx\,dy\]
Make the change of variables $t=x+y$, $y=\tau$ and then change the order of integration.

 
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This week's problem was correctly answered by Sudharaka. You can find his solution below.

\[F(s)G(s)=\int_0^{\infty}\int_0^{\infty}e^{-s(x+y)}f(x)g(y)\,dx\,dy\]Substitute \(t=x+y\) and \(y=\tau\) and we get,
\[F(s)G(s)=\int_0^{\infty}\int_\tau^{\infty}e^{-st}f(t-\tau)g(\tau)\,dt\,d\tau\]
By changing the order of integration we get,
\[F(s)G(s)=\int_0^{\infty}\int_0^t e^{-st}f(t-\tau)g(\tau)\,d\tau\,dt=\int_0^{\infty}e^{-st}\left[\int_0^t f(t-\tau)g(\tau)\,d\tau\right]\,dt\]
Taking \(h(t)=\int_0^t e^{-st}f(t-\tau)g(\tau)\,d\tau\) we get,
\[F(s)G(s)=\int_0^{\infty}e^{-st}h(t)\,dt\]
 

FAQ: Can You Master This Week's Challenge on Laplace Transforms and Convolution?

What are Laplace Transforms and convolution?

Laplace Transforms and convolution are mathematical operations used in engineering and physics to analyze and solve differential equations. Laplace Transforms are used to convert a time-domain function into a frequency-domain representation, while convolution is used to combine two functions to find a new function that represents their interaction.

How are Laplace Transforms and convolution related in the context of solving problems?

Laplace Transforms and convolution are often used together in problem-solving. The Laplace Transform of a convolution is the product of the Laplace Transforms of the individual functions. This allows for the use of simpler algebraic operations in solving problems involving differential equations.

What is the purpose of solving problems involving Laplace Transforms and convolution?

The purpose of solving problems involving Laplace Transforms and convolution is to find solutions to differential equations, which are often used to model real-world phenomena. These solutions can provide insights into the behavior of systems and help in making predictions and designing systems.

How do I approach solving a problem involving Laplace Transforms and convolution?

The first step in solving a problem involving Laplace Transforms and convolution is to clearly define the problem and identify the functions involved. Then, use the properties of Laplace Transforms and convolution to simplify the problem and find the solution. It is important to also check the validity of the solution by using inverse Laplace Transforms and verifying the convolution integral.

What are some practical applications of Laplace Transforms and convolution?

Laplace Transforms and convolution have various practical applications in fields such as electrical engineering, signal processing, and control systems. They are used in designing filters, analyzing circuits, and solving differential equations in various engineering and scientific problems. They are also used in the field of image and signal processing to enhance and manipulate images and signals.

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