How to Solve Estimation Problems

Advanced ≈ 45 min Chapter 25 8 exercises
Why this matters“Approximately” is not an answer until you say how approximate. This chapter turns Taylor’s remainder into a rigorous error bound — and shows you the fast trick (Alternating Series Estimation) when it applies.

1 · The error term, properly

After Pₙ(x), the error is f(x) − Pₙ(x) = f⁽ⁿ⁺¹⁾(ξ)·(x−a)ⁿ⁺¹/(n+1)!. If we can bound |f⁽ⁿ⁺¹⁾| ≤ M on our interval, then |error| ≤ M·|x−a|ⁿ⁺¹/(n+1)! — a hard guarantee.

2 · First example — estimating e^{0.1}

Use P₂(0.1) = 1.10517. Remainder ≤ e^{0.1}(0.1)³/6 ≈ 1.84×10⁻⁴. So e^{0.1} = 1.10517 ± 0.00018. Three correct decimals, proven.

3 · Second example — a trig estimate

Estimate sin(0.3) using P₃(x) = x − x³/6: P₃(0.3) = 0.3 − 0.0045 = 0.2955. The next term is +x⁵/120 = 0.00002, so error ≤ 2.1×10⁻⁵. Answer: 0.2955 ± 0.00002.

4 · Third example — logarithms

Estimate ln(1.1) ≈ 0.1 − 0.005 + 0.00033 ≈ 0.09533. Remainder over the geometric-like alternating tail is below the first omitted term 0.1⁴/4 = 2.5×10⁻⁵. So 0.09533 ± 0.00003.

5 · Fourth example — an integral by series

∫₀^{0.5} e^{−x²}dx. Expand e^{−x²} = 1 − x² + x⁴/2 − ⋯, integrate term-by-term: 0.5 − 0.125/3 + 0.03125/10 − ⋯ ≈ 0.4615. Bounding the tail by the first omitted term keeps error < 0.0001.

Worked example 1

Estimate ∫₀^{0.5} e^{−x²}dx by integrating the series. Expand e^{−x²} = 1 − x² + x⁴/2 − ⋯, integrate term-by-term: 0.5 − 0.125/3 + 0.03125/10 − ⋯ ≈ 0.4615. Bounding the tail by the first omitted term keeps the error under 0.0001 — a concrete instance of an estimation problem.

6 · The alternating-series shortcut

If a series alternates with terms decreasing to 0, the error is less than the first term you omitted. No M-hunting needed — often the fastest rigorous bound in the course.

Watch out

Declaring “the series converges” is not an error bound. You must exhibit M and the factorial denominator, or cite the alternating test with decreasing terms. A value without a bound is a rumor, not a result.

Chapter formula sheet Lagrange: |error| ≤ M·|x−a|ⁿ⁺¹/(n+1)!  (M = max |f⁽ⁿ⁺¹⁾| on interval)
Alternating: |f(x) − Pₙ(x)| ≤ |first omitted term|
Pick M generously (e^{|x|} ≤ e^{0.5} on |x|≤0.5, |sin| ≤ 1, |cos| ≤ 1)
Rule of thumb: 3–4 terms usually buy 4+ decimals near 0

Common mistakes

  • Waving “the series converges” without bounding M — convergence ≠ enough accuracy.
  • Forgetting the factorial in the remainder — off by a factor of (n+1) is a failed proof.
  • Using an alternating bound when the series does not alternate — the shortcut is licensed only there.
  • Confusing “error” sign: remainder can be positive or negative; the bound is on its size.

✎ Practice — marked instantly

The Lagrange error bound needs:
  • A. M = max |f⁽ⁿ⁺¹⁾| on the interval
  • B. the radius of convergence only
  • C. the alternating series test
  • D. the value of f⁽ⁿ⁺¹⁾ at a

Multiple choice · interactive marking is enabled when JavaScript loads.

Using sin x ≈ x, bound |sin x − x| at x = 0.1 (next term x³/6). Give an upper bound.

Numeric answer · interactive marking is enabled when JavaScript loads.

e^{0.1} via P₂ is 1.10517 with remainder ≤ ___. Give a safe upper bound (decimal).

Short answer · interactive marking is enabled when JavaScript loads.

Alternating Series Estimation: error ≤
  • A. the first omitted term
  • B. twice the first omitted term
  • C. the last used term
  • D. the sum of the tails

Multiple choice · interactive marking is enabled when JavaScript loads.

Using cos x ≈ 1 − x²/2, bound the error at x = 0.4 (next term x⁴/24).

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To bound e^{−x²} on [0, 0.5] for an integral estimate, a good M is:
  • A. 1 (since e^{−x²} ≤ 1)
  • B. 1000
  • C. 0.5
  • D. you don’t need M with alternating series

Multiple choice · interactive marking is enabled when JavaScript loads.

ln(1.1) ≈ 0.1 − 0.005 + 0.00033. The next term’s size is:

Short answer · interactive marking is enabled when JavaScript loads.

The fifth classic estimation problem is:
  • A. Estimating an integral by term-by-term integration with an error bound
  • B. Proving l’Hôpital’s rule
  • C. Finding arc length exactly
  • D. Solving a differential equation

Multiple choice · interactive marking is enabled when JavaScript loads.