Math 2.0

Harmonic analysis on Euclidean spaces Basic notions Theorem

Density of trigonometric polynomials in continuous functions

Builds on Trigonometric polynomialContinuous functionPeriodic functionUniform convergenceStone–Weierstrass theoremFejér's theorem

Statement

Let f ⁣:ℝ→ℂf \colon \R \to \C be a continuous function that is periodic with period 2π2\pi, and let ε>0\varepsilon > 0. Then there is a trigonometric polynomial TT such that sup⁡x∈ℝ∣f(x)−T(x)∣<ε.\sup_{x \in \R} \abs{f(x) - T(x)} < \varepsilon. Equivalently, the trigonometric polynomials are dense in the space C(𝕋)C(\mathbb{T}) of continuous functions on 𝕋=ℝ/2πℤ\mathbb{T} = \R / 2\pi\Z with the supremum norm.

Remarks

One proof uses the Stone–Weierstrass theorem on the compact space 𝕋\mathbb{T}. The trigonometric polynomials form a subalgebra of C(𝕋)C(\mathbb{T}) that contains the constants, is closed under complex conjugation, and separates points, since eixe^{ix} is injective on 𝕋\mathbb{T}. Another proof is Fejér's theorem: the Cesàro means of the Fourier series of ff are trigonometric polynomials that converge to ff uniformly. The partial sums of the Fourier series of ff itself need not converge uniformly, and need not converge at all. So the approximating polynomial is in general not a Fourier partial sum. The periodicity hypothesis is necessary: every trigonometric polynomial TT satisfies T(−π)=T(π)T(-\pi) = T(\pi), so the function xx on [−π,π][-\pi, \pi] cannot be approximated uniformly on that interval. A consequence is that a continuous 2π2\pi-periodic function whose Fourier coefficients all vanish is identically zero.

Going deeper

For a student

The result is the basic density fact of Fourier analysis on the circle. Since C(𝕋)C(\mathbb{T}) is dense in Lp(𝕋)L^p(\mathbb{T}) for 1≤p<∞1 \le p < \infty, the trigonometric polynomials are also dense in these spaces. For p=2p = 2 this gives the completeness of the Fourier monomials, so that they form an orthonormal basis of L2(𝕋)L^2(\mathbb{T}). It also gives uniqueness: two continuous periodic functions with the same Fourier coefficients are equal. The rate of approximation in terms of the modulus of continuity of ff is the subject of Jackson's theorems.

Reading path

To understand this page from the ground up, read these 75 pages in order. The foundations come first.

  1. Bernstein polynomial definition
  2. Cesàro summation concept
  3. Compact space concept
  4. Continuous function concept
  5. Dense set concept
  6. Element definition
  7. Extended real number line object
  8. Fejér kernel concept
  9. Fourier series concept
  10. Hausdorff space concept
  11. Limit point of a set definition
  12. Periodic function definition
  13. Periodic function concept
  14. Proposition concept
  15. Real numbers object
  16. Sequence definition
  17. Set bounded above definition
  18. Trigonometric polynomial concept
  19. Uniform convergence concept
  20. Uniform metric on bounded functions example
  21. Set definition
  22. Limit of a function definition
  23. Conjunction definition
  24. Disjunction definition
  25. Implication definition
  26. Predicate definition
  27. Real sequence definition
  28. Subsequence definition
  29. Supremum definition
  30. Empty set object
  31. Family of sets definition
  32. Ordered pair definition
  33. Continuity at a point definition
  34. Intersection definition
  35. Union definition
  36. Existential quantifier definition
  37. Universal quantifier definition
  38. Bounded sequence definition
  39. Cesàro mean definition
  40. Limit of a sequence definition
  41. Monotone sequence definition
  42. Cartesian product definition
  43. Continuous function definition
  44. Epsilon-delta definition of continuity statement
  45. Subset definition
  46. Union of a family of sets definition
  47. Uniqueness quantifier definition
  48. Every sequence has a monotone subsequence statement
  49. Monotone convergence theorem for sequences statement
  50. Convergent sequence definition
  51. Pointwise convergence definition
  52. Binary relation definition
  53. Uniform continuity definition
  54. Topological space definition
  55. Bolzano–Weierstrass theorem statement
  56. Uniform convergence definition
  57. Uniform continuity on a set definition
  58. Function definition
  59. Fejér's theorem statement
  60. Continuous functions on a closed bounded interval are uniformly continuous statement
  61. Preimage of a set definition
  62. Metric space definition
  63. Weierstrass approximation theorem statement
  64. Convergence of a sequence in a metric space definition
  65. Open ball definition
  66. Diameter of a set definition
  67. Metric topology definition
  68. Epsilon characterisation of Cauchy sequences statement
  69. Open set definition
  70. Complete metric space definition
  71. Continuous map of topological spaces definition
  72. Completeness of the space of bounded continuous functions statement
  73. Sup norm on bounded continuous functions example
  74. Stone–Weierstrass theorem statement
  75. Density of trigonometric polynomials in continuous functions statement

Where this leads

3 pages build on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Fourier_series
About this page
TagKDRZKC9T1V
URIm2://KDRZKC9T1V
Kindstatement, theorem
WritingW0 stub
MSC42A10, 41A50
StatusThis copy of the site has no build data. Run m2 status KDRZKC9T1V.
AboutTrigonometric polynomial
UsesTrigonometric polynomial, Continuous function, Periodic function, Uniform convergence, Stone–Weierstrass theorem, Fejér's theorem

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