Oh, dude, Fourier series is like this mathematical tool that helps break down periodic functions into a sum of sine and cosine functions. It's named after this French mathematician, Fourier, who was probably like, "Hey, let's make math even more confusing." But hey, it's super useful in signal processing and stuff, so thanks, Fourier, I guess.
The Fourier series was introduced by Joseph Fourier in the early 19th century as a method to represent periodic functions as a sum of sines and cosines. It revolutionized the field of mathematics by providing a way to analyze complex periodic phenomena using simple trigonometric functions. The development of Fourier series laid the foundation for Fourier analysis, which has applications in various fields such as signal processing, image analysis, and quantum mechanics. The concept of Fourier series has since been extended and generalized to include non-periodic functions through the Fourier transform.
Oh, the history of Fourier series is truly fascinating! It all began with Joseph Fourier, a brilliant mathematician in the 19th century. He discovered that you could represent complex periodic functions as a sum of simpler trigonometric functions. This insight revolutionized mathematics and has had a profound impact on fields like signal processing, physics, and engineering. Just imagine, breaking down intricate patterns into beautiful harmonious components - it's like creating a masterpiece on canvas with just a few brushstrokes.
It is quite complicated, and starts before Fourier. Trigonometric series arose in problems connected with astronomy in the 1750s, and were tackled by Euler and others. In a different context, they arose in connection with a vibrating string (e.g. a violin string) and solutions of the wave equation.
Still in the 1750s, a controversy broke out as to what curves could be represented by trigonometric series and whether every solution to the wave equation could be represented as the sum of a trigonometric series; Daniel Bernoulli claimed that every solution could be so represented and Euler claimed that arbitrary curves could not necessarily be represented. The argument rumbled on for 20 years and dragged in other people, including Laplace. At that time the concepts were not available to settle the problem.
Fourier worked on the heat equation (controlling the diffusion of heat in solid bodies, for example the Earth) in the early part of the 19th century, including a major paper in 1811 and a book in 1822. Fourier had a broader notion of function than the 18th-century people, and also had more convincing examples.
Fourier's work was criticised at the time, and his insistence that discontinuous functions could be represented by trigonometric series contradicted a theorem in a textbook by the leading mathematician of the time, Cauchy.
Nonetheless Fourier was right; Cauchy (and Fourier, and everyone else at that time) was missing the idea of uniform convergence of a series of functions. Fourier's work was widely taken up, and also the outstanding problems (just which functions can be represented by Fourier series?; how different can two functions be if they have the same Fourier series?) were slowly solved.
Source: Morris Kline, Mathematical Thought from Ancient to Modern Times, Oxford University Press, 1972, pages 478-481, 502-514, 671-678,and 964.
no
sinc^2(w)
digital fourier analyzer analyses the signals in the form of fast fourier transform.
tanx = 2*(sin2x - sin4x + sin6x - ... )However, be warned that this series is very slow to converge.
The word sine, not sinx is the trigonometric function of an angle. The answer to the math question what is the four series for x sine from -pi to pi, the answer is 24.3621.
Fourier series and the Fourier transform
what are the limitations of forier series over fourier transform
yes a discontinuous function can be developed in a fourier series
no
Yes. For example: A square wave has a Fourier series.
Fourier series is series which help us to solve certain physical equations effectively
Fourier series is the sum of sinusoids representing the given function which has to be analysed whereas discrete fourier transform is a function which we get when summation is done.
The fourier series of a sine wave is 100% fundamental, 0% any harmonics.
Joseph Fourier was the French mathematician and physicist after whom Fourier Series, Fourier's Law, and the Fourier Transform were named. He is commonly credited with discovering the greenhouse effect.
Yes, a Fourier series can be used to approximate a function with some discontinuities. This can be proved easily.
no every function cannot be expressed in fourier series... fourier series can b usd only for periodic functions.
When we do a Fourier transformation of a function we get the primary term which is the fundamental frequency and amplitude of the Fourier series. All the other terms, with higher frequencies and lower amplitudes, are the harmonics.