Fourier Series: Rewriting with k_n and θ

In summary, the conversation discusses how to show that the Fourier series can be written in a different form using trigonometric identities. It suggests using the angle addition identity to expand the given expression and find the values of kn and θ.
  • #1
twotaileddemon
260
0

Homework Statement



Show that the Fourier series f(x) = [tex]\sum[/tex]ansin(nx) + bncos(nx) can be written as [tex]\sum[/tex]kn(cos(nx+[tex]\vartheta[/tex])) and define kn and [tex]\vartheta[/tex]

where the summation is from 0 to [tex]\infty[/tex]

Homework Equations


sin [tex]\vartheta[/tex] = cos (90 - [tex]\vartheta[/tex]) ??

The Attempt at a Solution


Well what I originally did was replace the sin term by cos (90 - nx), put cosine in terms of complex exponentials, and then try to solve the equation, but I only got what I was given in the first place and not the solution (i.e. I went in a circle).

Is there some kind of property of sin or cos I could use?
 
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  • #2
Think about something like this:

[tex] a \cos x + b \sin x = \sqrt{a^2+b^2}\ \left(\frac a {\sqrt{a^2+b^2}}\cos x +\frac b {\sqrt{a^2+b^2}}\sin x\right )[/tex]

and then think about what the expansion of

[tex]\cos{(x -\phi)}[/tex]

looks like.
 
  • #3
Try expanding [itex]k_n\cos(nx+\theta_n)[/itex] using the angle addition trig identity.
 
  • #4
Thank you for the responses - I was able to derive the proof exactly.
 

Related to Fourier Series: Rewriting with k_n and θ

1. What is a Fourier series?

A Fourier series is a mathematical representation of a periodic function as a sum of simple sine and cosine functions. It is used to analyze and approximate complex functions in various fields such as physics, engineering, and mathematics.

2. How is a Fourier series rewritten with k_n and θ?

A Fourier series can be rewritten using the terms k_n and θ, where k_n represents the frequency of the sine and cosine terms and θ represents the phase shift. This allows for a more concise and general representation of the series.

3. What is the purpose of using k_n and θ in a Fourier series?

Using k_n and θ in a Fourier series allows for easier manipulation and analysis of the series. It also allows for a more compact representation of the series, making it easier to understand and work with.

4. Can a Fourier series be used to approximate any function?

No, a Fourier series can only approximate periodic functions. If a function is not periodic, it cannot be accurately represented by a Fourier series.

5. How is a Fourier series used in real-world applications?

A Fourier series is used in various real-world applications such as signal processing, image and sound compression, and solving differential equations. It is also used in fields such as finance and economics for data analysis and forecasting.

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