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Basis Vector Determinant Sign Tool

Inspect floating-point orientation of a supplied 3D basis after row scaling; no exact-predicate guarantee.

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Description

Inspect floating-point orientation of a supplied 3D basis after row scaling; no exact-predicate guarantee.

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.

Inspect floating-point orientation of a supplied 3D basis after row scaling; no exact-predicate guarantee.

When to use this tool

Use Basis Vector Determinant Sign 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 basis. 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 sign, singular. Inspect singular before interpreting the associated values.

Require a three-by-three basis matrix. Scale each row by its largest absolute component, calculate the scaled determinant sign, and return singular for an exact zero determinant; any all-zero row immediately returns sign zero and singular true.1

Input fieldMeaning and unitsAccepted input
basisBasisRequired. Array of Array of Finite number.; maximum items 128.; maximum items 128.
Output fieldInterpretationReturned shape
signSignRequired. Safe integer.
singularSingularRequired. Boolean.
json
{
  "input": {
    "basis": [
      [
        1,
        0,
        0
      ],
      [
        0,
        1,
        0
      ],
      [
        0,
        0,
        -1
      ]
    ]
  },
  "output": {
    "sign": -1,
    "singular": false
  }
}

Limitations and assumptions

  • Positive row scaling preserves determinant sign and reduces overflow risk. Exact zero is a floating-point test without rank tolerance, so near-singular matrices need a separate numerical analysis.
  • 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/basis-vector-determinant-sign — tool.io

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