Is there a fourier series for ln(x)?

In summary, the conversation discusses the use of integrating sin(x)/ln(x) and the possibility of using a Fourier series to do so. It is mentioned that finding a simple antiderivative for this function is not possible and that a numerical method should be used for definite integration. The concept of a Fourier series and its relation to oscillating and periodic functions is also brought up. It is mentioned that any reasonable integrable function has a Fourier series and that a function only needs to be periodic, not necessarily oscillating, to have a Fourier series. However, there are limitations to using a Fourier series for this particular integral and it may not have any significant meaning.
  • #1
ChowPuppy
8
5
If so, could it be used to integrate sin(x)/ln(x)
 
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  • #2
You aren't going to find a simple antiderivative of that and if you are looking for a definite integral just use a numerical method directly on the integral.
 
  • #3
LCKurtz said:
You aren't going to find a simple antiderivative of that and if you are looking for a definite integral just use a numerical method directly on the integral.

That was the second part of the question, I believe he was more looking for the first part... (And if you believe substituting a function with a Fourier series in order to integrate it is easy, then you must be a genius...)

Anyways, doesn't a function have to be oscillating to have a Fourier series?
 
  • #4
Yes, and yes, but both qualified yes's.

Any reasonable integrable function has a Fourier series (actually, I believe it's ANY Lebesgue integrable function, if you allow divergence on a set of measure 0 if I remember right). Dichirlet conditions. If you restrict to most intervals ln x will satisfy that.

http://en.wikipedia.org/wiki/Dirichlet_conditions

The only problem is around x = 0.

Actually, for the second part, you want a Fourier series for 1/ ln x. Then, all but one of the terms will be orthogonal to sin x on a well-chosen interval, so all you need is one of the Fourier coefficients. But for one thing, it's circular because the way you FIND the Fourier coefficient is to do that integral. And for another thing, you can only do it over a period of sin x because that is what orthogonality refers to. So, it doesn't really have any significance, as far as I'm aware.

Anyways, doesn't a function have to be oscillating to have a Fourier series?

Not exactly. It has to be periodic. But if you just want a Fourier series that works over an interval, just take that interval and look at that, and then take infinitely many copies of the function on that interval and it's periodic.
 
  • #5


Yes, there is a Fourier series for ln(x). It is given by:

ln(x) = 2∑n=1 ∞ (-1)n+1 (x-1)n/n

This series can be used to approximate the natural logarithm function for values of x close to 1. However, it is not a valid representation for all values of x, as it diverges for x=0 and x=2.

As for integrating sin(x)/ln(x), we can use the Fourier series for ln(x) to rewrite the integral as:

∫sin(x)/ln(x) dx = ∫sin(x) * 2∑n=1 ∞ (-1)n+1 (x-1)n/n dx

= 2∑n=1 ∞ (-1)n+1 ∫sin(x) * (x-1)n/n dx

= 2∑n=1 ∞ (-1)n+1 ∫sin(x) * x^n/n dx - 2∑n=1 ∞ (-1)n+1 ∫sin(x) * x^(n-1)/n dx

= 2∑n=1 ∞ (-1)n+1 (-1)^n * n!/n - 2∑n=1 ∞ (-1)n+1 (-1)^n * (n-1)!/n

= 2∑n=1 ∞ (-1)n+1 (-1)^n * (n-1)!/n - 2∑n=1 ∞ (-1)n+1 (-1)^n * (n-1)!/n

= 2∑n=1 ∞ (-1)n+1 (-1)^n * (n-1)!/n - 2∑n=1 ∞ (-1)n+1 (-1)^n * (n-1)!/n

= 2∑n=1 ∞ (-1)n+1 (-1)^n * (n-1)!/n - 2∑n=1 ∞ (-1)n+1 (-1)^n * (n-1)!/n

= 2∑n=1 ∞ (-1)n+1 (-1)^n * (n-1)!/n - 2∑n=1 ∞ (-1)n+1 (-1)^n *
 

1. What is a Fourier series?

A Fourier series is a mathematical representation of a periodic function as a sum of sine and cosine functions. It allows us to decompose a complex function into simpler components and is widely used in fields such as signal processing and physics.

2. Can any function be represented by a Fourier series?

No, not all functions can be represented by a Fourier series. A function must be periodic and have a finite number of discontinuities in order to have a valid Fourier series representation.

3. Is there a Fourier series for ln(x)?

Yes, there is a Fourier series representation for ln(x). It is given by ln(x) = -ln(2) - sum from n=1 to infinity of (cos(nx)/n).

4. How is the Fourier series for ln(x) derived?

The Fourier series for ln(x) can be derived using the properties of Fourier series and integration by parts. The detailed derivation can be found in many mathematical textbooks.

5. What are the applications of the Fourier series for ln(x)?

The Fourier series for ln(x) has applications in solving differential equations, signal processing, and in physics to describe the behavior of certain physical systems. It can also be used to approximate the value of ln(x) for certain values of x.

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