Math 2.0

Sequences, series, summability Proof

Proof of the Weierstrass M-test

Builds on Series of functionsComparison testAbsolute convergenceAbsolutely convergent series convergeSum of a seriesMonotone convergence theorem for sequencesTriangle inequalityLimits preserve non-strict inequalitiesUniform convergence

Proof

We bound the distance from each partial sum to the sum by a tail of ∑Mn\sum M_n, which does not depend on xx.

  1. Let SS, fnf_n and MnM_n be as in the statement. Let sN=∑n=0Nfns_N = \sum_{n=0}^{N} f_n be the partial sums of the series of functions.
  2. Fix x∈Sx \in S. Since 0≤∣fn(x)∣≤Mn0 \le |f_n(x)| \le M_n and ∑Mn\sum M_n converges, the comparison test shows that ∑∣fn(x)∣\sum |f_n(x)| converges.
  3. So ∑fn(x)\sum f_n(x) converges absolutely. By absolutely convergent series converge, it converges. Let s(x)=∑n=0∞fn(x)s(x) = \sum_{n=0}^{\infty} f_n(x).
  4. Let M=∑n=0∞MnM = \sum_{n=0}^{\infty} M_n and Tm=∑n=0mMnT_m = \sum_{n=0}^{m} M_n. Since Mn≥0M_n \ge 0, the sequence (Tm)(T_m) is increasing, and Tm→MT_m \to M by the definition of the sum of a series.
  5. By the monotone convergence theorem, MM is the supremum of the TmT_m. So TN≤MT_N \le M for all NN.
  6. Let τm=M−Tm\tau_m = M - T_m. By step 4, τm→0\tau_m \to 0. By step 5, ∑k=m+1NMk=TN−Tm≤τm\sum_{k=m+1}^{N} M_k = T_N - T_m \le \tau_m for all N>mN > m.
  7. Let x∈Sx \in S and N>mN > m. By the triangle inequality and step 6, ∣sN(x)−sm(x)∣=∣∑k=m+1Nfk(x)∣≤∑k=m+1N∣fk(x)∣≤∑k=m+1NMk≤τm.|s_N(x) - s_m(x)| = \Big| \sum_{k=m+1}^{N} f_k(x) \Big| \le \sum_{k=m+1}^{N} |f_k(x)| \le \sum_{k=m+1}^{N} M_k \le \tau_m.
  8. So −τm≤sN(x)−sm(x)≤τm-\tau_m \le s_N(x) - s_m(x) \le \tau_m for all N>mN > m. Letting N→∞N \to \infty and using step 3, we get ∣s(x)−sm(x)∣≤τm|s(x) - s_m(x)| \le \tau_m, since limits preserve non-strict inequalities.
  9. Let ε>0\varepsilon > 0. By step 6, there is m0m_0 with τm<ε\tau_m < \varepsilon for all m≥m0m \ge m_0. By step 8, ∣sm(x)−s(x)∣<ε|s_m(x) - s(x)| < \varepsilon for all m≥m0m \ge m_0 and all x∈Sx \in S.
  10. So sm→ss_m \to s uniformly on SS, and the series converges uniformly on SS.
  11. The functions ∣fn∣|f_n| satisfy the same hypotheses, with the same MnM_n. So steps 1 to 10 also show that ∑∣fn∣\sum |f_n| converges uniformly on SS.
  12. By steps 3, 10 and 11, the series ∑n=0∞fn\sum_{n=0}^{\infty} f_n converges absolutely and uniformly on SS.

Idea

At every point, the tail of the series is at most the tail ∑k>mMk\sum_{k > m} M_k of a convergent series of numbers. That tail tends to 00 and does not involve xx. So one index m0m_0 works for all points at once, which is uniform convergence.

Reading path

To understand this page from the ground up, read these 110 pages in order. The foundations come first. The path takes the proofs Proof of the approximation property of the supremum, Proof that every sequence has a monotone subsequence, by peaks, Proof of the commutativity of addition by induction, Proof that absolutely convergent series converge, Proof that convergent sequences are Cauchy, Proof of the Cauchy criterion for series, Proof of the Cauchy criterion for sequences by the Bolzano–Weierstrass theorem, Proof that the reals form an ordered field, with the Cauchy sequence construction, Proof of the double negation law by a truth table, Proof of strong induction from ordinary induction, Proof that Cauchy sequences are bounded, Proof of the triangle inequality for real numbers, Proof of the epsilon-N definition of the limit of a sequence, Proof of the comparison test, Proof that limits preserve non-strict inequalities, Proof of the well-ordering principle from strong induction, Proof of the Bolzano–Weierstrass theorem by a monotone subsequence, Proof that a decreasing sequence bounded below converges, Proof that convergent sequences are bounded, Proof of the monotone convergence theorem for sequences, Proof that a series of nonnegative terms converges iff its partial sums are bounded.

  1. Construction of the reals from Cauchy sequences concept
  2. Definition by recursion concept
  3. Element definition
  4. Integers object
  5. Mathematical induction concept
  6. Natural numbers object
  7. Ordered field definition
  8. Peano axioms concept
  9. Proposition concept
  10. Rational numbers object
  11. Real numbers object
  12. Sequence definition
  13. Set bounded above definition
  14. Set definition
  15. Ring of integers statement
  16. Successor function definition
  17. Conjunction definition
  18. Disjunction definition
  19. Implication definition
  20. Negation definition
  21. Predicate definition
  22. The reals form a field statement
  23. Real sequence definition
  24. Subsequence definition
  25. Infimum definition
  26. Supremum definition
  27. Ordered pair definition
  28. Addition of natural numbers definition
  29. Biconditional definition
  30. The successor function is injective statement
  31. Truth table concept
  32. Zero is not a successor statement
  33. Modus ponens concept
  34. The rationals form a field statement
  35. Universal quantifier definition
  36. Bounded sequence definition
  37. Cauchy sequence definition
  38. Limit of a sequence definition
  39. Monotone sequence definition
  40. Series definition
  41. Completeness axiom statement
  42. Cartesian product definition
  43. Proof of the commutativity of addition by induction proof
  44. Order on the natural numbers definition
  45. Subset definition
  46. Propositional logic concept
  47. Mathematical proof concept
  48. The rationals form an ordered field statement
  49. Convergent sequence definition
  50. Pointwise convergence definition
  51. Partial sum definition
  52. Binary relation definition
  53. Commutativity of addition statement
  54. Proof of strong induction from ordinary induction proof
  55. Order on the reals definition
  56. Tautology definition
  57. Uniform convergence definition
  58. Convergent series definition
  59. Antisymmetric relation definition
  60. Reflexive relation definition
  61. Transitive relation definition
  62. Strong induction statement
  63. Logical equivalence definition
  64. Sum of a series definition
  65. Series of functions definition
  66. Absolute convergence definition
  67. Preorder definition
  68. Proof of the well-ordering principle from strong induction proof
  69. Proof of the double negation law by a truth table proof
  70. Partial order definition
  71. Well-ordering principle statement
  72. Double negation law statement
  73. Total order definition
  74. Proof by contradiction concept
  75. Proof that every sequence has a monotone subsequence, by peaks proof
  76. Proof that the reals form an ordered field, with the Cauchy sequence construction proof
  77. Every sequence has a monotone subsequence statement
  78. The reals form an ordered field statement
  79. Absolute value definition
  80. Proof of the approximation property of the supremum proof
  81. Proof of the triangle inequality for real numbers proof
  82. Proof of the epsilon-N definition of the limit of a sequence proof
  83. Approximation property of the supremum statement
  84. Triangle inequality statement
  85. Epsilon-N definition of the limit of a sequence statement
  86. Proof that limits preserve non-strict inequalities proof
  87. Proof that convergent sequences are bounded proof
  88. Proof that convergent sequences are Cauchy proof
  89. Proof that Cauchy sequences are bounded proof
  90. Proof of the monotone convergence theorem for sequences proof
  91. Limits preserve non-strict inequalities statement
  92. Convergent sequences are bounded statement
  93. Convergent sequences are Cauchy statement
  94. Cauchy sequences are bounded statement
  95. Monotone convergence theorem for sequences statement
  96. Proof that a series of nonnegative terms converges iff its partial sums are bounded proof
  97. Proof that a decreasing sequence bounded below converges proof
  98. Decreasing sequence bounded below converges statement
  99. A series of nonnegative terms converges iff its partial sums are bounded statement
  100. Proof of the comparison test proof
  101. Proof of the Bolzano–Weierstrass theorem by a monotone subsequence proof
  102. Comparison test statement
  103. Bolzano–Weierstrass theorem statement
  104. Proof of the Cauchy criterion for sequences by the Bolzano–Weierstrass theorem proof
  105. Cauchy criterion for sequences statement
  106. Proof of the Cauchy criterion for series proof
  107. Cauchy criterion for series statement
  108. Proof that absolutely convergent series converge proof
  109. Absolutely convergent series converge statement
  110. Proof of the Weierstrass M-test proof

Where this leads

489 pages build on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Weierstrass_M-test, Proof
About this page
Tag2138K3VK6D
URIm2://2138K3VK6D
Kindproof
WritingW0 stub
MSC40A30
ProvesWeierstrass M-test
UsesSeries of functions, Comparison test, Absolute convergence, Absolutely convergent series converge, Sum of a series, Monotone convergence theorem for sequences, Triangle inequality, Limits preserve non-strict inequalities, Uniform convergence
Changed4 November 2026

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