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  2. Fourier series - Wikipedia

    en.wikipedia.org/wiki/Fourier_series

    A Fourier series (/ ˈ f ʊr i eɪ,-i ər / [1]) is an expansion of a periodic function into a sum of trigonometric functions. The Fourier series is an example of a trigonometric series. [2] By expressing a function as a sum of sines and cosines, many problems involving the function become easier to analyze because trigonometric functions are ...

  3. Fourier sine and cosine series - Wikipedia

    en.wikipedia.org/wiki/Fourier_sine_and_cosine_series

    An Elementary Treatise on Fourier's Series: And Spherical, Cylindrical, and Ellipsoidal Harmonics, with Applications to Problems in Mathematical Physics (2 ed.). Ginn. p. 30. Carslaw, Horatio Scott (1921). "Chapter 7: Fourier's Series". Introduction to the Theory of Fourier's Series and Integrals, Volume 1 (2 ed.). Macmillan and Company. p. 196.

  4. Periodic function - Wikipedia

    en.wikipedia.org/wiki/Periodic_function

    The subject of Fourier series investigates the idea that an 'arbitrary' periodic function is a sum of trigonometric functions with matching periods. According to the definition above, some exotic functions, for example the Dirichlet function , are also periodic; in the case of Dirichlet function, any nonzero rational number is a period.

  5. Fourier analysis - Wikipedia

    en.wikipedia.org/wiki/Fourier_analysis

    A number of authors, notably Jean le Rond d'Alembert, and Carl Friedrich Gauss used trigonometric series to study the heat equation, [20] but the breakthrough development was the 1807 paper Mémoire sur la propagation de la chaleur dans les corps solides by Joseph Fourier, whose crucial insight was to model all functions by trigonometric series ...

  6. Dini test - Wikipedia

    en.wikipedia.org/wiki/Dini_test

    Then the Fourier series of f converges at t to f(t). For example, the theorem holds with ω f = log −2 ( ⁠ 1 / δ ⁠ ) but does not hold with log −1 ( ⁠ 1 / δ ⁠ ) . Theorem (the Dini–Lipschitz test): Assume a function f satisfies

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  8. Sine and cosine transforms - Wikipedia

    en.wikipedia.org/wiki/Sine_and_cosine_transforms

    By applying Euler's formula (= ⁡ + ⁡), it can be shown (for real-valued functions) that the Fourier transform's real component is the cosine transform (representing the even component of the original function) and the Fourier transform's imaginary component is the negative of the sine transform (representing the odd component of the ...

  9. AOL Mail for Verizon Customers - AOL Help

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    AOL Mail welcomes Verizon customers to our safe and delightful email experience!