Laplace transform intuition

In summary, the conversation discusses the difficulty in understanding the Laplace transform and asks for a geometric explanation or source for better understanding. It is suggested to understand Fourier transforms and series for more intuitive understanding.
  • #1
member 428835
hello pf!

i am wondering if anyone here knows of a geometric, intuitive explanation for the laplace transform? if so, please direct me to the source of if you could, explain to me your understanding?

thanks!
 
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  • #2
The Laplace transform always bothered me. It took me a very long time to understand it deeply.

Here's a start.

http://ocw.mit.edu/courses/mathemat...ure-19-introduction-to-the-laplace-transform/

Also, it helps to understand Fourier transforms and Fourier series. That gives you more physical/geometric intuition. Once you understand that stuff, you can interpret Laplace transforms in terms of them. Places to get intuition about Fourier series/transforms would include signal processing books, or if you want a more mathematical approach that's still pretty intuitive, you could look at Discourse on Fourier Series by Lanczos.
 
  • #3
thanks homeomorphic!
 
  • #4
See this: https://www.physicsforums.com/showthread.php?t=461628 The videos in that thread basically show that the Laplace transform is the continuous extension of power series. Much in the same way that Fourier transforms are the continuous analogue of Fourier series.
 
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  • #5


The Laplace transform is a mathematical tool used to analyze systems in the time domain. It essentially converts a function of time into a function of a complex variable, s. This transformation allows us to solve differential equations and analyze the behavior of systems in the frequency domain.

One way to understand the Laplace transform intuitively is to think of it as a way to "zoom in" on the behavior of a system. Just like how a microscope allows us to see details that are not visible to the naked eye, the Laplace transform allows us to see the behavior of a system at a more detailed level.

Another way to think about it is in terms of frequency response. The Laplace transform essentially breaks down a function into its individual frequency components. This allows us to analyze how the system responds to different frequencies, which can be useful in understanding the stability and behavior of a system.

Overall, the Laplace transform is a powerful tool that allows us to gain a deeper understanding of systems and their behavior. Its geometric and intuitive interpretation can help us visualize and analyze complex systems in a more accessible way.
 

1. What is a Laplace transform?

A Laplace transform is a mathematical tool used to convert a function of time into a function of complex frequency. It is commonly used in engineering and science to solve differential equations and analyze systems.

2. How is a Laplace transform different from a Fourier transform?

While both Laplace and Fourier transforms involve converting a function from one domain to another, the Laplace transform takes into account the initial conditions of the system, while the Fourier transform does not. This makes the Laplace transform more useful for solving problems involving differential equations.

3. What is the intuition behind the Laplace transform?

The Laplace transform essentially breaks down a function into its individual frequencies, allowing for easier analysis of the system. This is similar to how a prism breaks down white light into its individual colors.

4. How is the Laplace transform used in real-world applications?

The Laplace transform is used in a wide range of fields, including engineering, physics, and economics. It is commonly used to analyze and design control systems, solve differential equations in physics and engineering problems, and analyze the stability of systems.

5. Are there any limitations to using Laplace transforms?

While the Laplace transform is a powerful tool, it does have some limitations. It can only be used for linear systems, and the function being transformed must be well-behaved (i.e. it must have a finite number of discontinuities and must approach zero as time goes to infinity).

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