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Monomial Log Magnitude At Point Tool

Compute monomial log magnitude at point from explicit bounded inputs.

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Description

Return a Laurent monomial's sign and natural-log magnitude.

A monomial combines a coefficient with variable exponents. Ordinary nonnegative exponents and signed Laurent exponents have different domains; exponent-vector divisibility and greatest-common-factor rules describe the variable part unless coefficients are explicitly included. Zero coefficients and absent variables need separate flags.

Return a Laurent monomial's sign and natural-log magnitude.

When to use this tool

Use Monomial Log Magnitude At Point when checking the stated exponent-vector, support, coefficient or Laurent convention.

How to use the tool and how it works

  1. Enter bases, exponents, coefficient. Follow any array-alignment requirements below. 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 logMagnitude, sign. Use the output convention below.

Return a Laurent monomial's sign and natural-log magnitude. Require nonzero coefficient/bases and aligned signed whole exponents; logMagnitude = ln(abs(coefficient))+sum(exponent*ln(abs(base))), sign follows negative-base odd powers.1

Input fieldMeaning and unitsAccepted input
basesBasesRequired. Array of finite number; maximum items 256.
exponentsExponentsRequired. Array of safe integer; maximum items 256.
coefficientCoefficientRequired. Finite number.
Output fieldInterpretationReturned shape
logMagnitudeNatural logarithm of absolute monomial value; bases and coefficient must be nonzero even when an exponent is zero.Required. Finite number.
signSignRequired. Safe integer.
json
{
  "input": {
    "bases": [
      -2,
      3
    ],
    "exponents": [
      3,
      2
    ],
    "coefficient": -1
  },
  "output": {
    "logMagnitude": 4.276666119016054,
    "sign": 1
  }
}

Limitations and assumptions

  • This avoids direct product magnitude but does not produce the value; zero bases are rejected even at exponent zero and variable domains must be appropriate.
  • 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 the complete coefficient domain and variable assumptions for symbolic simplification, full monomial divisibility or algebraic-domain conclusions.

References

  1. Calculation and input contract: algebra/monomial-log-magnitude-at-point — tool.io

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