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  • Theory
    • Linear Programming
      • The Simplex Algorithm
      • Linear Programming
      • Simplex Pivot Element
      • The 2-Phase Method
      • Duality
      • The online Simplex method
    • Numerical Methods
      • Differential Equations
      • Runge-Kutta Methods
      • Fehlberg Methods
      • Runge-Kutta On line
    • Calculus
      • Limiit and continuity
      • Derivates
      • Chain Rule
    • Complex analysis
      • The Complex plane
      • Complex variable functions
      • The complex derivate
      • Complex integration
      • Cauchy's integral formula
    • Special Relativity
      • Maxwell's Equations
      • Lorentz
      • Minkowski
      • E=mc2
    • Fourier Analysis
      • Fourier Series
      • Hilbert Spaces
      • Fourier Series Convergence
      • Discontinuities Behavour
      • The Online Fourier Series
    • Non Linear Programming
      • Linear programing Basics
      • Differentiable Functions
      • Convex Functions
      • Lagrange Multipliers
    • Linear Algebra
      • Eigenvalues
      • Matrix Diagonalizations
      • Jordan canonical form
      • Online Systems
    • Differential Geometry
      • Manifolds
      • Tensorial Algebra
      • Geodesics
      • Lagrangian method
  • Apps. Directory
    • 3D-Functions Plotter
    • Runge Kutta Methods
    • The Simplex Algorithm
    • Matrix calculator
    • 2D-Functions Plotter
    • Complex functions
    • Functions Analyzer
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    • Prime numbers calculator
    • Latex Editor
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      • 3D-Functions Plotter Android
      • Simplex Android Calculator
      • Runge-Kutta Methods
      • Android Integrator
      • Matrix Studio
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      • The 2-Phase Method
      • Simplex method example
      • Finite Solution Example
      • Unbounded Solution Sample
      • Infinite Solutions Sample
      • Uncompatible Constraints
    • Linear Algebra
      • Jordan Cannonical form 3x3
      • Jordan 3x3(2)
    • Fourier Series
      • Ejemplo Serie de Fourier
    • Numerical Analysis
      • The Euler's method
      • Three eighths rule in Matlab
      • Dormand/Prince 4 and 5
      • Modelling the Brusselator
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Fourier Coefficients
Lets

f∈L1[-1/2, 1/2]

It is call the nth-Fourier Coefficient to

fn = <f, e2πinx> = ∫1/2-1/2f(x) e-2πinx dx
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