Deriving the fourier transform

In summary, the Fourier sine and cosine transforms of $$f(x) = e^{-cx}$$ can be derived by using the equation $$e^{iax}=cos(ax)+isin(ax)$$ and computing the integral $$\int_0 ^{\infty} e^{-cx}e^{iax}dx$$. By evaluating the integral, it can be shown that the transforms are equal to $$-\frac{1}{ia-c}$$.
  • #1
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Homework Statement



derive the Fourier sine and cosine transforms of $$f(x) = e^{-cx}$$ by using $$e^{iax}=cos(ax)+isin(ax)$$ and computing the integral $$\int_0 ^{\infty} e^{-cx}e^{iax}dx$$.

Homework Equations

The Attempt at a Solution



i'm completely clueless, all i did was evaluate what they told me to.

$$\int_0 ^{\infty} e^{-cx}e^{iax}dx = \int_0 ^{\infty} e^{(ia-c)x}dx$$
$$= \frac{e^{(ia-c)x}}{ia-c}\Big|_0^{\infty} = \frac{cos(ax)+isin(ax)}{ia-c}\Big|_0^{\infty} =-\frac{1}{ia-c}$$
 
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  • #2
If you split your last result in imaginary and real part, you can relate it to the integrals in your other thread.
 

Related to Deriving the fourier transform

What is the Fourier Transform?

The Fourier Transform is a mathematical operation that decomposes a function into its constituent frequencies. It allows us to represent a function in the frequency domain, where we can analyze its frequency components.

Why is the Fourier Transform important?

The Fourier Transform is important because it allows us to convert a signal from the time domain to the frequency domain. This conversion is useful in many applications, such as signal processing, data compression, and image processing.

How is the Fourier Transform derived?

The Fourier Transform is derived using complex analysis and integration techniques. It involves breaking down a function into its sine and cosine components and then using complex numbers to represent these components in the frequency domain.

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

The Fourier Transform converts a function from the time domain to the frequency domain, while the Inverse Fourier Transform converts a function from the frequency domain back to the time domain. In other words, the Fourier Transform analyses the frequency components of a signal, while the Inverse Fourier Transform reconstructs the signal from its frequency components.

What are some applications of the Fourier Transform?

The Fourier Transform has many applications in various fields, including signal processing, data compression, image processing, audio analysis, and solving differential equations. It is also used in technologies such as MRI and radar systems.

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