Convergence of sequences and series
Convergence tests (root test, rearrangement theorem, Stolz–Cesàro), normal and uniform convergence of series of functions, and specific limits of sequences and partial sums.
- Alternating harmonic series
- Averaged Cauchy products of convergent sequences
- Limits of specific sequences and partial sums
- Normal convergence of series of functions
- Riemann rearrangement theorem
- Root test
TheoremConvergence of an alternating weighted series in the plane#●ready to prove
Let \(\alpha\) and \(\beta\) be real numbers. For \(k \in \mathbb{N}\) let \(x_k = (\alpha, \beta) \in \mathbb{R} \times \mathbb{R}\) if \(k\) is even and \(x_k = (\beta, \alpha)\) if \(k\) is odd. For \(n \in \mathbb{N}\) let \(s_n = \sum_{k=1}^{n} k^{-2} x_k\) (so \(s_0 = 0\)). Then the sequence \((s_n)\) converges in \(\mathbb{R} \times \mathbb{R}\).
public theorem_wanted exists_tendsto_sum_inv_sq_smul_alternating_pair
(α β : ℝ) (x s : ℕ → (ℝ × ℝ))
(hx : ∀ k : ℕ, x k = if Even k then (α, β) else (β, α))
(hs : ∀ n : ℕ, s n = ∑ k ∈ Finset.Icc (1 : ℕ) n,
(1 / ((k : ℝ) ^ 2)) • x k) :
∃ L : (ℝ × ℝ), Tendsto s atTop (𝓝 L)
Sources
- MA-ProofBench (L. Pu et al., arXiv:2606.13782), Level I (Sequences, series, summability; Convergence and divergence of infinite limiting processes), problem
ma_proofbench_l1_46.
TheoremMonotone functions on a closed interval with a continuous pointwise limit converge uniformly#●ready to prove
Monotone functions on a closed interval with a continuous pointwise limit converge uniformly. Let \(a < b\) be real numbers, let \(f_n : [a, b] \to \mathbb{R}\), \(n \in \mathbb{N}\), be nondecreasing functions, and let \(g : [a, b] \to \mathbb{R}\) be continuous with \(f_n(x) \to g(x)\) for every \(x \in [a, b]\). Then \(g\) is nondecreasing and \(f_n \to g\) uniformly on \([a, b]\).
public theorem_wanted monotone_and_tendstoUniformly_of_monotone_tendsto_continuous
(a b : ℝ) (hab : a < b) (f : ℕ → (Set.Icc a b) → ℝ) (g : (Set.Icc a b) → ℝ)
(hmono : ∀ n : ℕ, Monotone (f n))
(hpt : ∀ x : Set.Icc a b, Tendsto (fun n => f n x) atTop (𝓝 (g x)))
(hgcont : Continuous g) :
Monotone g ∧
TendstoUniformly (fun n x => f n x) g atTop
Sources
- MA-ProofBench (L. Pu et al., arXiv:2606.13782), Level I (Real functions; Functions of one variable), problem
ma_proofbench_l1_07.
TheoremPower series agreeing at \(1/2, 1/3, 1/4, \dots\) have equal coefficients#●ready to prove
Let \((a_k)\) and \((b_k)\) be real sequences such that the series \(\sum_{k=0}^{\infty} a_k x^k\) and \(\sum_{k=0}^{\infty} b_k x^k\) converge absolutely for every real \(x\) with \(|x| < 1\). If \(\sum_{k=0}^{\infty} a_k x^k = \sum_{k=0}^{\infty} b_k x^k\) for \(x = 1/2, 1/3, 1/4, \dots\), then \(a_k = b_k\) for all \(k \ge 0\).
public theorem_wanted coeff_eq_of_tsum_eq_on_inv_nat_add_two
(a b : ℕ → ℝ) (ha : ∀ x : ℝ, |x| < 1 → Summable (fun k : ℕ => a k * x ^ k))
(hb : ∀ x : ℝ, |x| < 1 → Summable (fun k : ℕ => b k * x ^ k))
(hEq : ∀ n : ℕ, (∑' k : ℕ, a k * ((1 : ℝ) / (n + 2)) ^ k) =
(∑' k : ℕ, b k * ((1 : ℝ) / (n + 2)) ^ k)) :
∀ k : ℕ, a k = b k
Sources
- MA-ProofBench (L. Pu et al., arXiv:2606.13782), Level I (Real functions; Functions of one variable), problem
ma_proofbench_l1_24.
TheoremStolz–Cesàro theorem#✓fully proved
Let \((a_n)_{n \ge 0}\) and \((b_n)_{n \ge 0}\) be sequences of real numbers such that \((b_n)\) is strictly increasing and \(b_n \to +\infty\) as \(n \to \infty\), and let \(L\) be a real number. If \(\frac{a_{n+1} - a_n}{b_{n+1} - b_n} \to L\) as \(n \to \infty\), then \(\frac{a_n}{b_n} \to L\) as \(n \to \infty\).
theorem stolz_cesaro {a b : ℕ → ℝ} {L : ℝ}
(hb_mono : StrictMono b)
(hb_unbounded : Filter.Tendsto b Filter.atTop Filter.atTop)
(hlim : Filter.Tendsto (fun n => (a (n + 1) - a n) / (b (n + 1) - b n))
Filter.atTop (nhds L)) :
Filter.Tendsto (fun n => a n / b n) Filter.atTop (nhds L)
Sources
- https://en.wikipedia.org/wiki/Stolz%E2%80%93Ces%C3%A0ro_theorem.
TheoremSummability of a rising-product series#✓fully proved
Let \(b\), \(c\) and \(x\) be complex numbers such that \(c + kb \neq 0\) for every integer \(k \ge 1\). Then the series \(\sum_{j=0}^{\infty} \frac{(-b)^j x^{j+1}}{\prod_{k=1}^{j+1} (c + kb)}\) is summable.
theorem summable_neg_pow_mul_pow_div_prod_add_mul {b c : ℂ} (x : ℂ)
(hc : ∀ r : ℕ, c + b * ((r + 1 : ℕ) : ℂ) ≠ 0) :
Summable (fun j : ℕ =>
(-b) ^ j * x ^ (j + 1) / ∏ r ∈ Finset.range (j + 1), (c + b * ((r + 1 : ℕ) : ℂ)))
TheoremUniform convergence of \(\sum (1 - \cos(x/n))\) on compact intervals#●ready to prove
For all real numbers \(a < b\) there is a function \(g : \mathbb{R} \to \mathbb{R}\) such that the partial sums \(\sum_{n=1}^{N} \bigl(1 - \cos(x/n)\bigr)\) converge to \(g(x)\) uniformly for \(x \in [a, b]\) as \(N \to \infty\).
public theorem_wanted tendstoUniformlyOn_sum_one_sub_cos_div
(f : ℕ → ℝ → ℝ) (hf : ∀ n x, f n x = 1 - Real.cos (x / (n + 1))) :
∀ a b : ℝ, a < b → ∃ g : ℝ → ℝ,
TendstoUniformlyOn
(fun N x => ∑ n ∈ Finset.range N, f n x) g Filter.atTop (Set.Icc a b)
Sources
- MA-ProofBench (L. Pu et al., arXiv:2606.13782), Level I (Sequences, series, summability; Convergence and divergence of infinite limiting processes), problem
ma_proofbench_l1_05.
TheoremŚleszyński–Pringsheim convergence criterion#●ready to prove
Let \(a_0, a_1, a_2, \dots\) and \(b_0, b_1, b_2, \dots\) be complex numbers with \(1 + |a_k| \le |b_k|\) for every \(k\). For \(n \ge 0\) let \(f_n\) be the \(n\)-th approximant of the continued fraction \(a_0 / (b_0 + a_1 / (b_1 + \cdots))\), that is \(f_0 = 0\) and \(f_n = a_0 / (b_0 + a_1 / (b_1 + \cdots + a_{n-1} / b_{n-1}))\) for \(n \ge 1\). Then there is a complex number \(v\) with \(|v| \le 1\) such that \(f_n \to v\) as \(n \to \infty\).
Zero partial numerators are admitted.
public theorem_wanted contFract_tendsto_of_pringsheim (a b : ℕ → ℂ)
(h : ∀ k, 1 + ‖a k‖ ≤ ‖b k‖) :
∃ v : ℂ, ‖v‖ ≤ 1 ∧
Tendsto
(fun n ↦ (⟨0, Stream'.Seq.ofStream fun k ↦ ⟨a k, b k⟩⟩ : GenContFract ℂ).convs' n)
atTop (𝓝 v)
Sources
- Carminda M. Mennen, Möbius Maps and Continued Fractions, INTEGERS 24 (2024), Article A52, Theorem 1.
Loading dependency explorer…
The dependency explorer needs JavaScript and its graph data.