Fourier Cosine Transform and Complex Exponential Solution for Homework Problem

In summary, the conversation discusses the relationship between two functions, f and g, related by a cosine transform. The question is whether the integral of f(x) multiplied by the exponential function exists and if it is equal to a specific expression. The solution is found by using Euler's formula to express cosine as a linear combination of complex exponentials, and then expanding the exponential into a real and complex part to show that the integral is equivalent to a Fourier cosine transform with a complex argument.
  • #1
mhill
189
1

Homework Statement



given 2 functions f and g related by a cosine transform

[tex] g( \alpha ) = \int_{0}^{\infty}dx f(x)Cos( \alpha x) [/tex]

then if the integral

[tex] \int_{0}^{\infty}dx f(x)exp(cx) [/tex]

exists for every positive or negative 'c' then should it be equal to

[tex] \int_{0}^{\infty}dx f(x)exp(cx)= \frac{g(ic)+g(-ic)}{2} [/tex] ??


Homework Equations



[tex] g( \alpha ) = \int_{0}^{\infty}dx f(x)Cos( \alpha x) [/tex]


The Attempt at a Solution



where i have used the Euler identity to express the cosine as a linear combination of complex

exponentials.
 
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  • #2
Yes, that should work. Unfortunately, since you chose not to show us what you did, I can't say where you might have made a mistake.
 
  • #3
thanks Hallsoftivy.. i think this would be the result since

[tex] \int_{0}^{\infty}dx f(x)exp(cx) [/tex] should be real

then i used Euler's formula so [tex] 2exp(cx)Cos(ax)=exp(iax+cx)+exp(-iax+cx) [/tex]

then somehow (of course this all is completely nonrigorous) expanding the exponential into a real and complex part, the contribution to the integral would come from

[tex] Cos(ax+icx) [/tex] and [tex] cos(ax-icx) [/tex] this kernel is precisely the Kernel of a Fourier cosine transform with complex argument.
 

1. What is a Fourier Cosine Transform and how is it different from a Fourier Transform?

The Fourier Cosine Transform is a mathematical tool used to decompose a function into its constituent frequencies. It is similar to the Fourier Transform, but only considers the cosine components of the function, while the Fourier Transform considers both the cosine and sine components. This makes the Fourier Cosine Transform useful for dealing with real-valued functions.

2. How is the Fourier Cosine Transform used to solve homework problems?

The Fourier Cosine Transform can be used to find the solution to differential equations involving real-valued functions. By taking the Fourier Cosine Transform of both sides of the equation, the differential equation can be transformed into an algebraic equation, which can then be solved using standard techniques. The inverse Fourier Cosine Transform can then be used to obtain the final solution.

3. Can the Fourier Cosine Transform be applied to any type of function?

No, the Fourier Cosine Transform is only applicable to real-valued functions that are periodic over a finite interval. If a function is not periodic, or if it is complex-valued, then the Fourier Cosine Transform cannot be used.

4. What is the complex exponential solution and how does it relate to the Fourier Cosine Transform?

The complex exponential solution is a general solution to a linear differential equation that can be expressed in terms of exponential functions. It is often used in conjunction with the Fourier Cosine Transform to solve differential equations, as the Fourier Cosine Transform can be thought of as a special case of the complex exponential solution for real-valued functions.

5. Are there any limitations to using the Fourier Cosine Transform to solve homework problems?

While the Fourier Cosine Transform can be a powerful tool for solving differential equations, it does have some limitations. It can only be used for periodic functions, and it may not always be possible to find an analytical solution using the Fourier Cosine Transform. In some cases, numerical methods may be necessary to obtain a solution. Additionally, the Fourier Cosine Transform may not be applicable to all types of differential equations, and alternative methods may need to be used.

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