Infinite Series: Integral & Comparison Tests





Infinite Series: Integral & Comparison Tests


Foundations of Infinite Series

Topics Covered

  • Series – The Basics
  • Convergence/Divergence Overview & Partial Sums
  • Special Series (Geometric, Telescoping, Harmonic)

Objectives

  • Formally define an infinite series via partial sums.
  • Distinguish between sequence convergence and series convergence.
  • Apply the Divergence (nth Term) Test.
  • Recognize key special series.

Lesson Flow & Details

  • Warm-Up: Briefly review sequence behavior as \(n \to \infty\); introduce summation of terms.
  • Definition & Notation of Series:
    • \(\sum_{n=1}^{\infty} a_n\) via partial sums.
    • Linearity and index shifting.
  • Convergence vs. Divergence Basics:
    • Partial sums \(\{S_N\}\) and their limit.
    • Divergence (nth Term) Test: \(\lim_{n \to \infty} a_n \neq 0 \implies\) series diverges.
  • Special Series:
    • Geometric: \(\sum_{n=0}^{\infty} ar^n\), formula for \(|r| < 1\).
    • Telescoping: terms that cancel in partial sums.
    • Harmonic: \(\sum_{n=1}^{\infty}\frac{1}{n}\), well-known divergent series.

Practice Suggestions

  • Apply the nth Term Test to examples like \(\sum 2^n\) or \(\sum \tfrac{1}{n}\).
  • Identify “geometric-like” or “telescoping” structures in given series.

Integral & Comparison Tests

Topics Covered

  • Integral Test
  • Comparison Test
  • Limit Comparison Test

Objectives

  • Use the Integral Test for series with positive, decreasing terms.
  • Determine convergence by comparing to known series (Comparison & Limit Comparison).
  • Reinforce conditions: continuity, positivity, monotonicity.

Lesson Flow & Details

  • Integral Test:
    • If \(a_n = f(n)\) where \(f\) is continuous, positive, decreasing, then \(\sum a_n\) converges iff \(\int_{1}^{\infty} f(x)\,dx\) converges.
    • Examples: p-series \(\sum \frac{1}{n^p}\); \(\sum \frac{1}{n (\ln n)^q}\).
  • Comparison & Limit Comparison Tests:
    • Comparison Test: If \(0 \le a_n \le b_n\) and \(\sum b_n\) converges, then \(\sum a_n\) converges; similarly for divergence.
    • Limit Comparison Test: If \(\lim_{n\to\infty} \frac{a_n}{b_n} = c\) (finite, \(c>0\)), then \(\sum a_n\) and \(\sum b_n\) both converge or diverge.

Practice Suggestions

  • Decide whether to use the Integral or Comparison Test for series like \(\sum \tfrac{1}{n(\ln n)^2}\).
  • Apply Limit Comparison to compare \(\sum \tfrac{3n+1}{n^2}\) to \(\sum \tfrac{1}{n}\) or \(\sum \tfrac{1}{n^p}\).

Alternating Series & Additional Tests

Topics Covered

  • Alternating Series Test
  • Absolute & Conditional Convergence
  • Ratio Test
  • Root Test
  • Strategy for Series
  • Estimating the Value of a Series (brief)

Objectives

  • Use the Alternating Series Test for series with terms of alternating sign.
  • Distinguish absolute vs. conditional convergence.
  • Apply the Ratio and Root Tests to determine absolute convergence or divergence.
  • Develop a broader test selection strategy.
  • Learn how some tests can estimate series sums.

Lesson Flow & Details

  • Alternating Series Test:
    • \(\sum (-1)^n b_n\) converges if \(b_n\) is decreasing and \(\lim_{n\to\infty} b_n = 0\).
    • Examples: \(\sum \frac{(-1)^n}{n}\), \(\sum \frac{(-1)^n}{n^2}\).
  • Absolute vs. Conditional Convergence:
    • \(\sum a_n\) is absolutely convergent if \(\sum |a_n|\) converges.
    • \(\sum \frac{(-1)^n}{n}\) converges conditionally, not absolutely.
  • Ratio & Root Tests:
    • Ratio Test: If \(\lim_{n \to \infty} \left|\frac{a_{n+1}}{a_n}\right| = L\), then converge if \(L<1\), diverge if \(L>1\), inconclusive if \(L=1\).
    • Root Test: If \(\lim_{n\to\infty} \sqrt[n]{|a_n|} = L\), same thresholds on \(L\) as Ratio Test.
  • Strategy for Series:
    • Summarize test conditions: positive series (Integral, Comparison), alternating series (AST), etc.
    • No single “universal” test; pattern recognition is key.
  • Estimating the Value of a Series:
    • Use error bounds from the Alternating Series Test; integral bounds from the Integral Test.