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Topic: Convergence of Fourier series


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In the News (Thu 10 Dec 09)

  
  Fourier series - Exampleproblems
Fourier series is a mathematical tool used for analyzing an arbitrary periodic function by decomposing the function into a sum of much simpler sinusoidal component functions, which differ from each other only in amplitude, frequency, and phase.
Fourier series are named in honor of Joseph Fourier (1768-1830), who made important contributions to the study of trigonometric series, after preliminary investigations by Madhava, Nilakantha Somayaji, Jyesthadeva, Leonhard Euler, Jean le Rond d'Alembert, and Daniel Bernoulli.
Fourier originally defined the Fourier series for real-valued functions of real arguments, and using the sine and cosine functions as the basis set for the decomposition.
www.exampleproblems.com /wiki/index.php/Fourier_series   (2032 words)

  
 [No title]
We will start off with the convergence of a Fourier series and once we have that taken care of the convergence of Fourier Sine/Cosine series will follow as a direct consequence.  Here then is the theorem giving the convergence of a Fourier series.
 where the Fourier series will not converge to the function is where the function has a jump discontinuity.
 the function and hence the periodic extension are both continuous and so on these two intervals the Fourier series will converge to the periodic extension and hence will converge to the function itself.
tutorial.math.lamar.edu /Classes/DE/ConvergenceFourierSeries.aspx   (1130 words)

  
  Spartanburg SC | GoUpstate.com | Spartanburg Herald-Journal   (Site not responding. Last check: )
The Fourier series is a mathematical tool used for analyzing periodic functions by decomposing such a function into a weighted sum of much simpler sinusoidal component functions sometimes referred to as normal Fourier modes, or simply modes for short.
Fourier series serve many useful purposes, as manipulation and conceptualization of the modal coefficients are often easier than with the original function.
Fourier series are named in honor of Joseph Fourier (1768-1830), who made important contributions to the study of trigonometric series, after preliminary investigations by Madhava, Nilakantha Somayaji, Jyesthadeva, Leonhard Euler, Jean le Rond d'Alembert, and Daniel Bernoulli.
www.goupstate.com /apps/pbcs.dll/section?category=NEWS&template=wiki&text=Fourier_series   (2207 words)

  
  Fourier's Series - LoveToKnow 1911
FOURIER'S SERIES, in mathematics, those series which proceed according to sines and cosines of multiples of a variable, the various multiples being in the ratio of the natural numbers; they are used for the representation of a function of the variable for values of the variable which lie between prescribed finite limits.
Fourier set himself to consider the representation of a function given graphically, and was the first fully to grasp the idea that a single function may consist of detached portions given arbitrarily by a graph.
He had an accurate conception of the convergence of a series, and although he did not give a formally complete proof that a function with discontinuities is representable by the series, he indicated in particular cases the method of procedure afterwards carried out by Dirichlet.
www.1911encyclopedia.org /Fourier's_Series   (4794 words)

  
 Springer Online Reference Works
Fourier series form a considerable part of the theory of trigonometric series.
In the theory of Fourier series one studies the relation between the properties of functions and the properties of their Fourier series; in particular, one investigates questions on the representation of functions by Fourier series.
Later it was proved that the Fourier series of a continuous function may diverge on an everywhere-dense set of measure zero that is of the second category.
eom.springer.de /f/f041090.htm   (1838 words)

  
 Convergence of Fourier Series
Convergence acceleration of Fourier series by analytical and numerical applicati...
Convergence and Divergence of Decreasing Rearranged Fourier Series...
Convergence of Fourier series in the mean of L2 and L1...
www.scienceoxygen.com /math/229.html   (167 words)

  
 Fourier series Summary
Fourier series yield a continuous function as long as they are expressions of continuous functions.
The Fourier series is a mathematical tool used for analyzing an arbitrary periodic function by decomposing it into a weighted sum of much simpler sinusoidal component functions sometimes referred to as normal Fourier modes, or simply modes for short.
From a modern point of view, Fourier's results are somewhat informal, due in no small part to the lack of a precise notion of function and integral in the early nineteenth century (for example, one wondered if a function defined on two intervals with two different formulas was still a function).
www.bookrags.com /Fourier_series   (2697 words)

  
 Convergence of Fourier series - Wikipedia, the free encyclopedia
In mathematics, the question of whether the Fourier series of a periodic function converges to the given function is researched by a field known as classic harmonic analysis, a branch of pure mathematics.
The problem whether the Fourier series of any continuous function converges almost everywhere was posed by Nikolai Lusin in the 1920s and remained open until finally resolved positively in 1966 by Lennart Carleson.
The family of all functions with absolutely converging Fourier series is a Banach algebra (the operation of multiplication in the algebra is a simple multiplication of functions).
en.wikipedia.org /wiki/Convergence_of_Fourier_series   (1800 words)

  
 Analysis, Convergence, Series, Complex Analysis - Numericana
At a jump, the sum of a Fourier series is the half-sum of its left and right limits.
This is indeed the case here, since the series involved converges to a well-known constant while the series of absolute values is the harmonic series, which has been known to diverge since the 14th century (at least).
Uniform convergence does imply that the integral of the (uniform) limit is the limit of the integrals.
home.att.net /~numericana/answer/analysis.htm   (4397 words)

  
 ME201/MTH281 Movies
FOURIER COSINE SERIES - The function expanded is f(x) = x + x^2 in a Fourier cosine series on [0,1].
The struggle to converge is evident at x = 1, where the given function has a non-zero slope and where all of the eigenfunctions have zero slope.
The red curve is the "exact" solution based on the first 10 terms of the series, and the blue curve is the sum of the constant term and the first non-constant term of the series.
www.me.rochester.edu /courses/ME201/webmovies/movies.html   (1783 words)

  
 III. Fourier series, Introduction   (Site not responding. Last check: )
There are very similar theorems for the Fourier sine series and the Fourier cosine series series, which are based, respectively, on the orthogonal sets (2.5) and (2.7).
If you look at the various Fourier series that are plotted in the next chapter, you will see that the crazy phenomenon of Example 2 doesn't happen.
What we see from the examples is that where a function has a discontinuity, the Fourier series, when truncated to a large but finite number of terms, takes on a value between the right and left limits.
www.math.gatech.edu /~harrell/pde/ch3wr.html   (1847 words)

  
 III. Fourier series, Introduction
There are very similar theorems for the Fourier sine series and the Fourier cosine series series, which are based, respectively, on the orthogonal sets (2.5) and (2.7).
If you look at the various Fourier series that are plotted in the next chapter, you will see that the crazy phenomenon of Example 2 doesn't happen.
What we see from the examples is that where a function has a discontinuity, the Fourier series, when truncated to a large but finite number of terms, takes on a value between the right and left limits.
www.mathphysics.com /pde/ch3wr.html   (1847 words)

  
 Fourier Series Convergence Gibbs   (Site not responding. Last check: )
At either discontinuity, the Fourier Series converges to the mid point of the "jump".
The height of the peaks of the oscillation decreases away from the jump, but the height of peak1, peak2 etc remain the same as the number of terms summed increases.
In the above applet the red curve is summed using a convergence factor which gradually reduces the components in the spectrum so they reach zero at the last harmonic used in the sum.
cnyack.homestead.com /files/afourse/fsgibbs.htm   (223 words)

  
 Harmonic Phasors and Fourier Series
Various forms of the Fourier series description for periodic signals are based on alternate ways of writing a cosine signal.
A more extreme case is the impulse train, where the Fourier series coefficients remain constant and the mathematical nature of convergence of the series is far from apparent.
From the truncated series in the applet, it is clear that the Gibbs effect is present, and also that there is a type of convergence.
www.jhu.edu /~signals/phasorlecture   (788 words)

  
 MA0329 Fourier series and Integrals
Fourier series expansions are mostly used for functions defined on a finite interval.
The course is dedicated to the study of the basic properties of the Fourier series and integrals with emphasis on conditions ensuring their pointwise, uniform or mean convergence.
The importance of both: working out effective algorithms based on the Fourier series and integrals, and justification of such algorithms by proving convergence of the appropriate series and integrals will be emphasised.
www.cardiff.ac.uk /maths/modules/ma0329.html   (268 words)

  
 A Radical Approach to Real Analysis
The resulting series will converge to an integral of the original function at every point in the interval of convergence of the original function.
The series might converge at all points on the circle, or it might diverge at all points on the circle, or it could converge at some points and diverge at others.
For the power series in (1.5.1.5), these are all points on the boundary between the region of convergence and the region of divergence.
www.macalester.edu /aratra/chapt1/chapt1_5_1.html   (336 words)

  
 Differentiating Fourier Series - Advanced Physics Forums
The Fourier coefficients of the derivative of the FS will not be the same as the Fourier coefficients of the derivative.
Actually, the possible non-uniform convergence of Fourier series is an asset, because it allows them to expand a discontinuous function.
All of which is to say, differentiating this series term-by-term, we see that the "derivated" b(n) (which is actually going to be the coefficent for cos(n*x) in the derived series) has a n^2 in both the numerator and denominator..
www.advancedphysics.org /forum/showthread.php?p=35889#post35889   (1392 words)

  
 Uniform Convergence   (Site not responding. Last check: )
The definition of unifrom convergence of a Fourier Series is slightly different.
We investigate this convergence graphically by looking at the maximum difference between the partial sums and the function over the entire interval as a function of n.
It prevents the Fourier Series of a discontinuous function from converging uniformly.
amath.colorado.edu /courses/4350/2002fall/uniform.html   (384 words)

  
 [No title]
Convergence of Fourier Sine Series: Consider f(x), defined on the interval [0, L].
For the Fourier series of f to be continuous, it is sufficient to assume that f(x) is continuous and f(-L) = f(L).
Then the Fourier series of f can be integrated term by term and the obtained series is convergent to the integral of f(x).
zimmer.csufresno.edu /~doreendl/182.05s/fseriesthms.doc   (446 words)

  
 MTH-3A36 : Transform Theory
However, a rigorous proof for the general result was not given until the beginning of the 20th century, and indeed the search for such a proof constituted one of those problems which give direction to mathematics.
Analysis of eigenfunction expansions leads naturally to Fourier series and hence to the concept of Fourier transforms.
Indeed, the inversion of Fourier integrals can be investigated by analogy with convergence of Fourier series.
www.mth.uea.ac.uk /maths/syllabuses/9900/3A3600.html   (526 words)

  
 Read This: A Panorama of Harmonic Analysis
It is one of the elements in Carleson's proof of the almost-everywhere pointwise convergence of the Fourier series of an L
Against this background, Krantz introduces the concept of Fourier series, and proves that the Fourier series of an integrable function f converges to f at every point at which f is differentiable.
We can admire the elegance and ingenuity of the convergence proofs, but, ultimately, the reason we want to know that the series converge is so that we can apply them to solve other problems.
www.maa.org /reviews/harmonic.html   (4230 words)

  
 Fourier Analysis
Fourier analysis is about the representation of functions (or of data, signals, systems,...) in terms of such complex exponentials.
In the case of Fourier expansions in one dimension, the basis functions are the complex exponentials:
In addition to this explanatory role, Fourier analysis can be used directly to construct useful pattern representations that are invariant under translation (change in position), rotation, and dilation (change in size).
www.cl.cam.ac.uk /Teaching/2000/ContMaths/JGD-notes/node11.html   (1462 words)

  
 Signals, Systems, and Control Demonstrations
A Java applet that displays Fourier series approximations and corresponding magnitude and phase spectra of a periodic continuous-time signal.
Or enter coefficients in the mathematical expression for the Fourier series.
Discrete-Time Fourier Transform Properties A Java applet that displays the effect that various operations on a discrete-time signal have on the amplitude and phase spectra of the signal.
www.jhu.edu /~signals   (1298 words)

  
 Fourier Analysis
Fourier analysis, first developed by Joseph Fourier in the 1800's, is a way of studying functions by decomposing them into certain types of "building block" functions.
Fourier's idea was that nice enough functions on closed, bounded intervals of R could be given a infinite series expansion involving the trigonometric functions {cosnx: n= 0, 1, 2,...}, and {sin nx: n = 1, 2,...}.
Section 3.2: The Cau chy sequence of Figure 3.2: this sequence converges in mean square norm to zero, but does not converge pointwise on any set of real numbers.
spot.colorado.edu /~packer/Fourier.html   (713 words)

  
 Lecture outline for Fourier Analysis
Fri (10/4): Special examples of trigonometric series and when they may or may not be Fourier series of an integrable function.
Fri (11/15): Elementary properties of the Fourier transform on the line, the energy spectrum, average frequency and standard deviation, motivation for analytic signals and conjugation, filtering operations and causal filters.
Mon (11/18): Conjugate Fourier series, the conjugate Poisson kernel and its properties; relation to analytic functions.
www.math.sc.edu /~sharpley/math750_f02/lectures.html   (688 words)

  
 3.4 Convergence of Fourier series
its Fourier series expansion converges to the function f(x) at all points where f(x) is continuous and to the average of the left- and right-hand limits of f(x), i.e.
has a finite number maxima and minima and a finite number of points of finite discontinuity then the Fourier series expansion of f(x) converges to f(x) at all points where f(x) is continuous and to the average of the left- and right-hand limits of f(x), i.e.
In both cases the Fourier series consists of zeros and, of course, equals.
math.ut.ee /~toomas_l/harmonic_analysis/Fourier/node18.html   (454 words)

  
 Reference.com/Encyclopedia/Sturm-Liouville theory
We must use another theorem of Fourier series, which tells us that there is only one way of representing a function as a Fourier series.
This particular Fourier series is troublesome because of its poor convergence properties.
It is not clear apriori whether the series converges pointwise.
www.reference.com /browse/wiki/Sturm-Liouville_theory   (1444 words)

  
 Fourier series
However there are methods which improve the convergence of the Fourier series near the discontinuity.
After you select Fourier series a dialog box appears, where you have to set the sampling start time, the base frequency, the number of samples, the number of harmonics, and the format.
On the first figure the dialog box can be seen, on the next the Fourier coefficients as they are placed on the clipboard, and on the last the graphical representation of the result.
www.designsoftware.com /fourier/FourierFourier_series.htm   (1062 words)

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