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How does the alternating-series test estimate the truncation error?

The alternating-series test provides a simple way to estimate the truncation error: the absolute value of the remainder ∣Rn∣|R_n| after summing nn terms is bounded by the absolute value of the very next term, 1n+1\frac{1}{n+1}.

Conditions

  • The series satisfies the conditions of the alternating-series test.
  • The error is estimated after summing nn terms.

Reasoning, step by step

  1. Sum the first nn terms of the alternating series.
  2. Identify the (n+1)(n+1)-th term of the series.
  3. Calculate the absolute value of the (n+1)(n+1)-th term.
  4. Use this value as an upper bound for the truncation error ∣Rn∣|R_n|.

Example

For the series ∑n=1∞(−1)n+11n\sum_{n=1}^{\infty} (-1)^{n+1} \frac{1}{n}, if you stop after nn terms, the error ∣Rn∣|R_n| is at most 1n+1\frac{1}{n+1}.

Common misconceptions

  • Assuming the error bound applies to non-alternating series.
  • Believing the error is exactly equal to the next term, rather than bounded by it.

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