Integration question re Fourier Transform

MIn summary, the conversation discusses the understanding of Schrodinger's equation and the use of Fourier transforms in its derivation. The speaker asks for clarification on how the integration of the product of two functions can result in an expression containing "e." The expert responds that it is simply an application of the complex exponential.
  • #1
celal777
11
0
Hello Listmembers,

I am trying to make some progress in my understanding of
Schrodinger's equation.I have been trying to teach myself about
Fourier transforms in the hope that this will help me understand the
derivation of Schrodinger's equation.

My question has to do with slide number 16 from a presentation which can be found at :

http://www.physics.gatech.edu/gcuo/UltrafastOptics/3803/OpticsI14FourierTransformI.ppt

My question is : I know about integrating the product of two
functions [see Section 6.1 at
http://mathews.ecs.fullerton.edu/c2002/ca0601.html] but i don't see
how you do end up with an expression containing "e" [i.e. the "exp"
factor] by performing integrations on the Fourier coefficients above
it which contain sine and cosine functions ?

Your help gratefully appreciated.
Sincerely
Celal Berker
London, England
 
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  • #2
Maybe I'm reading too quickly (or probably not at all), but that just looks like an application of the complex exponential.

[tex]e^{-i \theta} = \cos{\theta} - i\sin{\theta}[/tex]

--J
 
  • #3


Dear Celal Berker,

Thank you for your question about Fourier transforms and their application in understanding Schrodinger's equation. It is great that you are taking the initiative to teach yourself about this topic and I am happy to help clarify your understanding.

Firstly, let's review what a Fourier transform is. It is a mathematical operation that decomposes a function into its constituent frequencies. This is useful in analyzing signals and waveforms, as it allows us to see the different frequencies present in a given signal. In the context of Schrodinger's equation, Fourier transforms are used to represent the wavefunction, which describes the probability of finding a particle at a given position and time.

Now, let's take a look at slide number 16 from the presentation you mentioned. This slide shows the Fourier transform of a function f(x). The expression on the left side of the equal sign is the Fourier transform, while the expression on the right side is the inverse Fourier transform. The integral in the Fourier transform is the product of the function f(x) and the complex exponential function, which contains the sine and cosine functions you mentioned.

To understand how this integral results in an expression containing "e", we need to look at the properties of the complex exponential function. The complex exponential function can be written as e^(ix) = cos(x) + i sin(x), where i is the imaginary unit. This means that the integral in the Fourier transform can be rewritten as the sum of two integrals, one containing the cosine function and the other containing the sine function. This is where the "e" comes from in the final expression.

I hope this explanation helps to clarify your understanding of Fourier transforms and their application in Schrodinger's equation. Keep up the good work in learning and exploring this topic. Best of luck in your studies.
 

FAQ: Integration question re Fourier Transform

What is the Fourier Transform?

The Fourier Transform is a mathematical tool used to decompose a function into its frequency components. It transforms a function from the time or spatial domain to the frequency domain.

What is the purpose of using Fourier Transform?

The purpose of using Fourier Transform is to analyze signals or functions that are non-stationary or vary over time. It allows us to understand and visualize the frequency components of a signal, which can be useful in many applications such as signal processing, image and sound analysis, and data compression.

How is the Fourier Transform related to integration?

The Fourier Transform is closely related to integration, as it is defined as the integral of a function multiplied by a complex exponential. The Fourier Transform essentially converts a function from one domain to another, and this transformation is achieved through integration.

What is the difference between the Fourier Transform and the Inverse Fourier Transform?

The Fourier Transform and the Inverse Fourier Transform are essentially inverse operations of each other. The Fourier Transform converts a function from the time or spatial domain to the frequency domain, while the Inverse Fourier Transform converts it back from the frequency domain to the time or spatial domain.

Are there any real-life applications of Fourier Transform?

Yes, there are many real-life applications of Fourier Transform. It is used in various fields such as engineering, physics, chemistry, biology, and economics. Some examples include analyzing and processing signals in communication systems, image and sound analysis in medical imaging and audio processing, and studying the dynamics of systems in physics and engineering.

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