Skip to content

Main content

Vector Uncertain Norm First Order Factor Tool

First-order norm uncertainty for independent supplied component errors; excludes the nondifferentiable zero vector.

Loading tool…

Description

First-order norm uncertainty for independent supplied component errors; excludes the nondifferentiable zero vector.

A vector is an ordered set of components in a chosen basis. Its norm measures magnitude, while dot products, projections, and coordinate transformations describe different relationships. Component order, angle units, normalization, and numerical tolerances determine the meaning of a computed result.

First-order norm uncertainty for independent supplied component errors; excludes the nondifferentiable zero vector.

When to use this tool

Use Vector Uncertain Norm First Order Factor when you need the particular coordinate operation, derivative, residual, or domain check under a known basis convention.

How to use the tool and how it works

  1. Enter vector, standardDeviations. Keep parallel arrays aligned. 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 norm, standardUncertainty. Use the output convention below.

Require matching vector and nonnegative standardDeviations arrays and a nonzero vector. Return its norm and first-order standardUncertainty as hypot of component/norm times its corresponding standard deviation.1

Input fieldMeaning and unitsAccepted input
vectorVectorRequired. Array of Finite number.; maximum items 256.
standardDeviationsNonnegative component standard uncertainties on matching vector-unit bases.Required. Array of Finite number.; maximum items 256.
Output fieldInterpretationReturned shape
normNormRequired. Finite number.
standardUncertaintyFirst-order norm uncertainty under independent component errors.Required. Finite number.
json
{
  "input": {
    "vector": [
      3,
      4
    ],
    "standardDeviations": [
      1,
      1
    ]
  },
  "output": {
    "norm": 5,
    "standardUncertainty": 1
  }
}

Limitations and assumptions

  • This uncertainty propagation assumes uncorrelated components and a local linear approximation away from zero norm. It does not estimate uncertainties, include covariance, or calculate a coverage interval.
  • The field tables state structural bounds; the mechanics also specify cross-field constraints. Malformed inputs and unsupported domains cause errors. A successful false flag, empty branch value, or zero placeholder has the meaning stated above and is distinct from an input error.
  • 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. Signed zero is exported as zero.

Alternative or Complementary methods

Choose a complete vector or matrix operation when a single component or residual is insufficient. For sensitive near-zero or near-singular cases, inspect numerical conditioning and use an appropriate precision and tolerance.

References

  1. Calculation and input contract: vector/vector-uncertain-norm-first-order-factor — tool.io

Similar or alternative tools