Understanding Dirichlet conditions

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In summary, the Dirichlet conditions are four conditions that are sufficient but not necessary for the convergence of Fourier series. These conditions include periodicity, a finite number of maxima and minima over one period, continuity except at a finite number of discontinuities, and absolute integrability over a period. However, there are other conditions for convergence and some functions, such as sin(1/x), can violate these conditions and still have a convergent Fourier series.
  • #1
spaghetti3451
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Could you please check if these are the Dirichlet conditions?

1. f(x) is periodic.
2. f(x) has a finite number of maxima and minima over one period.
3. f(x) is single valued, except at a finite number of discontinuities over one period.
4. [tex]\int^{-L/2}_{+L/2} \left|f(x)\right| dx [/tex] is finite over some range of L.

These conditions are sufficient but not necessary, e.g. sin(1/x) violates condition 2.
 
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  • #2
1 and 2 are correct.

3: A function is single valued by the definition of a function. This should read "f(x) is continuous, except at a finite number of discontinuities over one period."
4. This should specify that L is the period: f must be absolutely integral over a period.

There should also be an extra condition that f is bounded.

Then, these conditions are sufficient for the Fourier series to converge pointwise to f except at discontinuities. They are, however, not necessary, and many other conditions for convergence exist. For example, if f is differentiable at x, its Fourier series at x converges to f(x). Take f(x)=sin(1/x) for 0<x<L, and let f(x)=f(x+L) define f outside this range (with f(0)=0, say). Its Fourier series will converge everywhere except 0, despite the fact that condition 2 is broken.
 
  • #3
One of the best replies on Physicsforums.

Thanks!
 

FAQ: Understanding Dirichlet conditions

What are Dirichlet conditions and why are they important?

Dirichlet conditions are a set of mathematical conditions that must be satisfied for a function to have a Fourier series representation. These conditions are important because they ensure that the Fourier series converges to the function it represents, and allows us to use Fourier series to approximate and understand complex functions.

What are the three Dirichlet conditions?

The three Dirichlet conditions are: 1) The function must be periodic, 2) The function must be piecewise continuous, and 3) The function must have a finite number of maxima and minima within each period. These conditions are necessary for a function to have a Fourier series representation.

How do Dirichlet conditions relate to Fourier series?

Dirichlet conditions are necessary for a function to have a Fourier series representation. These conditions ensure that the Fourier series converges to the function it represents, and allows us to use Fourier series to approximate and understand complex functions.

Can Dirichlet conditions be relaxed?

No, Dirichlet conditions cannot be relaxed. These conditions are necessary for a function to have a Fourier series representation and to ensure the convergence of the series. If any of the conditions are not satisfied, the Fourier series cannot accurately represent the function.

How are Dirichlet conditions used in practical applications?

Dirichlet conditions are used in various fields, such as physics, engineering, and signal processing, to approximate and analyze periodic functions. They are also important in solving differential equations and modeling real-world phenomena, such as sound waves and heat transfer.

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