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Matrix: Matrix Single Entry Cofactor Sign Tool

Return one checkerboard cofactor sign under zero-based row/column indexing, without a determinant or minor computation.

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Description

Return +1 when row + column is even and -1 when odd, using zero-based indices.

A determinant encodes signed volume scaling and changes predictably under elementary row or column operations. Small-matrix identities depend on entry order and exact algebraic assumptions.

Return +1 when row + column is even and -1 when odd, using zero-based indices.

When to use this tool

Use Matrix: Matrix Single Entry Cofactor Sign when you need one determinant identity, sign, or small-matrix diagnostic.

How to use the tool and how it works

  1. Enter row, column. 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 +1 when row + column is even and -1 when odd, using zero-based indices.1

Input fieldMeaning and unitsAccepted input
rowRowRequired. Safe integer.
columnColumnRequired. Safe integer.
Output fieldInterpretationReturned shape
resultResultRequired. Object.
result.cofactorSignCofactor SignCalculated result member: number.
json
{
  "input": {
    "row": 1,
    "column": 2
  },
  "output": {
    "result": {
      "cofactorSign": -1
    }
  }
}

Limitations and assumptions

  • This is the cofactor sign only; the minor determinant must be calculated separately.
  • 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

Use a stable factorization for full determinants and a scale-aware numerical analysis for near-singular matrices.

References

  1. Calculation and input contract: matrix/matrix-single-entry-cofactor-sign — tool.io

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