Math 2.0

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Introduction to Fourier Analysis 5ARMFGD7YV

URIm2://res/5ARMFGD7YV
Kindcourse
CreatorsParasar Mohanty (instructor)
Date2024-07-18
Scopein
Idscourse 05pjsgx75:111104519

Expressions

e1: edition

Languageen
Date2024-07-18
Contents
  • part 1: Week 1
  • session 1: Lecture 01: Origin of Fourier series
  • session 2: Lecture 02: Convergence of a series and Riemann integration
  • session 3: Lecture 03: Riemann integration and periodic functions
  • session 4: Lecture 04: Fourier coefficients and series
  • session 5: Lecture 05: Complex Fourier series
  • part 2: Week 2
  • session 6: Lecture 06: Riemann Lebesgue lemma and Dirichlet kernel
  • session 7: Lecture 07: Convolution of two Riemann integrable functions
  • session 8: Lecture 08: Properties of convolution
  • session 9: Lecture 09: Cesaro summability and summation by parts
  • session 10: Lecture 10: Fejer kernel
  • part 3: Week 3
  • session 11: Lecture 11: Fejer theorem and applications
  • session 12: Lecture 12: Good kernels and Poisson kernel
  • session 13: Lecture 13: Abel summability
  • session 14: Lecture 14: Dirichlet problem
  • session 15: Lecture 15: Convergence at jump discontinuity
  • part 4: Week 4
  • session 16: Lecture 16: Orthonormal families
  • session 17: Lecture 17: Pythagoras theorem and Parseval identity
  • session 18: Lecture 18: Pointwise convergence
  • session 19: Lecture 19: Parseval identity applications
  • session 20: Lecture 20: Divergent Fourier series
  • part 5: Week 5
  • session 21: Lecture 21: Pointwise convergence of S_N(f)
  • session 22: Lecture 22: Isoperimetric problem
  • session 23: Lecture 23: Weyl's equidistribution theorem
  • session 24: Lecture 24: on Equidistributed sequences
  • session 25: Lecture 25: Proof of Weyl's criterion
  • part 6: Week 6
  • session 26: Lecture 26: Fourier analysis on finite groups
  • session 27: Lecture 27: Fourier transform on Z(N)
  • session 28: Lecture 28: Inversion theorem and Parseval identity
  • session 29: Lecture 29: Results on Fourier coefficients of two functions
  • session 30: Lecture 30: Fast Fourier transform
  • part 7: Week 7
  • session 31: Lecture 31: Fourier analysis on finite abelian group
  • session 32: Lecture 32: Fourier analysis on finite abelian groups
  • session 33: Lecture 33: Simultaneously diagonalizable operators and characters
  • session 34: Lecture 34: Results of Fourier series on finite abelian group
  • session 35: Lecture 35: Applications in Number theory
  • part 8: Week 8
  • session 36: Lecture 36: Fourier transform on R
  • session 37: Lecture 37: Properties of Fourier transform
  • session 38: Lecture 38: Inversion formula and convolution
  • session 39: Lecture 39: Fejer kernel on R
  • session 40: Lecture 40: Schwartz space
  • part 9: Week 9
  • session 41: Lecture 41: Convolution and Good kernel in Schwartz space
  • session 42: Lecture 42: Multiplication formula and Fourier inversion theorem
  • session 43: Lecture 43: Plancherel formula and Poisson summation formula
  • session 44: Lecture 44: Application of Poisson summation formula
  • session 45: Lecture 45: Weierstrass theorem and Heisenberg uncertainty principle
  • part 10: Week 10
  • session 46: Lecture 46: Hermite operator
  • session 47: Lecture 47: Solution of ODE by using Fourier transform
  • session 48: Lecture 48: Laplacian equation
  • session 49: Lecture 49: Poisson kermal and mean value theorem for harmonic functions
  • session 50: Lecture 50: Wave equation
  • part 11: Week 11
  • session 51: Lecture 51: Eigenvalues of Fourier transform
  • session 52: Lecture 52: Fourier transform on R^n
  • session 53: Lecture 53: Properties of Fourier transform on R^n
  • session 54: Lecture 54: Inversion theorem and Plancherel theorem
  • session 55: Lecture 55: Wave equation, heat equation and Poisson kernel
  • part 12: Week 12
  • session 56: Lecture 56: Fourier series in higher dimension
  • session 57: Lecture 57: Poission summation formula
  • session 58: Lecture 58: Application of Poission summation formula
  • session 59: Lecture 59: Radon transform
  • session 60: Lecture 60: Reconstruction formula

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