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Calculus: Scalar Central Difference Error Term Tool

Return the leading f-third*h^2/6 truncation term of a symmetric first-derivative difference under caller-established smoothness; not an error bound or derivative estimator.

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Description

Return the leading central-difference derivative error term.

A truncation term and a rigorous error bound require different information. Taylor and quadrature bounds need derivative bounds over the entire relevant interval; a derivative sampled at one point or a leading asymptotic term does not automatically control the full approximation error.

Return the leading central-difference derivative error term.

When to use this tool

Use Calculus: Scalar Central Difference Error Term when checking the stated approximation term or derivative-bound calculation.

How to use the tool and how it works

  1. Enter thirdDerivative, step. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read result. Expand result to inspect the returned fields.

Return the leading central-difference derivative error term. Require step > 0; leadingCentralDifferenceError = thirdDerivative*step²/6.1

Taylor remainder control requires the appropriate derivative bound over the relevant interval; a leading local expansion term need not bound the full approximation error.2

Input fieldMeaning and unitsAccepted input
thirdDerivativeThird DerivativeRequired. Finite number.
stepStepRequired. Finite number.
Output fieldInterpretationReturned shape
resultReturned calculated value or nested object under the stated output convention.Required. Object.
result.leadingCentralDifferenceErrorLeading central-difference approximation-minus-derivative term, not a rigorous bound on total error.Calculated result member: number.
json
{
  "input": {
    "thirdDerivative": 6,
    "step": 0.1
  },
  "output": {
    "result": {
      "leadingCentralDifferenceError": 0.01
    }
  }
}

Limitations and assumptions

  • The sign describes central-difference approximation minus the true derivative's leading term; higher-order and rounding errors are omitted.
  • Outputs are nested inside result. Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Establish the required smoothness and interval-wide bounds for a rigorous estimate; analyze the complete numerical approximation when only local derivative data are available.

References

  1. Calculation and input contract: calculus/scalar-central-difference-error-term — tool.io

  2. Taylor and Maclaurin series — OpenStax

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