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Scalar Derivative Error Propagation Factor Tool

Compute scalar derivative error propagation factor from explicit bounded inputs.

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Description

Return first-order output half-width from a supplied derivative.

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 first-order output half-width from a supplied derivative.

When to use this tool

Use Scalar Derivative Error Propagation Factor when checking the stated approximation term or derivative-bound calculation.

How to use the tool and how it works

  1. Enter derivative, inputHalfwidth. 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 outputHalfwidth. Use the output convention below.

Return first-order output half-width from a supplied derivative. Require inputHalfwidth >= 0; outputHalfwidth = abs(derivative)*inputHalfwidth.1

Input fieldMeaning and unitsAccepted input
derivativeDerivativeRequired. Finite number.
inputHalfwidthInput HalfwidthRequired. Finite number.
Output fieldInterpretationReturned shape
outputHalfwidthOutput HalfwidthRequired. Finite number.
json
{
  "input": {
    "derivative": -3,
    "inputHalfwidth": 0.2
  },
  "output": {
    "outputHalfwidth": 0.6000000000000001
  }
}

Limitations and assumptions

  • This is local linear propagation, not a nonlinear interval enclosure or a statistical confidence interval.
  • 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-derivative-error-propagation-factor — tool.io

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