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Matrix 2x2 Eigenvalue Sum Product Tool

Calculate matrix 2x2 eigenvalue sum product from explicit caller-supplied inputs.

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Description

Return trace a + d as the eigenvalue sum and determinant ad - bc as their product.

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 trace a + d as the eigenvalue sum and determinant ad - bc as their product.

When to use this tool

Use Matrix 2x2 Eigenvalue Sum Product when you need one determinant identity, sign, or small-matrix diagnostic.

How to use the tool and how it works

  1. Enter a, b, c, d. 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 sum, product. Use the output convention below.

Return trace a + d as the eigenvalue sum and determinant ad - bc as their product.1

Input fieldMeaning and unitsAccepted input
aARequired. Finite number.
bBRequired. Finite number.
cCRequired. Finite number.
dDRequired. Finite number.
Output fieldInterpretationReturned shape
sumSumRequired. Finite number.
productProductRequired. Finite number.
json
{
  "input": {
    "a": 1,
    "b": 2,
    "c": 3,
    "d": 4
  },
  "output": {
    "sum": 5,
    "product": -2
  }
}

Limitations and assumptions

  • The identities include complex eigenvalue pairs; individual eigenvalues, ordering, and multiplicity are not calculated.
  • 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-2x2-eigenvalue-sum-product — tool.io

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