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Min Entropy Maxsymbol Contribution Tool

Calculate min entropy maxsymbol contribution from explicit caller-supplied inputs.

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Description

Require maximumProbability in (0, 1] and return -log2(maximumProbability) as bits.

Entropy summarizes uncertainty under a specified probability model and logarithm convention. Support indicators, one-symbol terms, and exponentiated entropies are components with different meanings.

Require maximumProbability in (0, 1] and return -log2(maximumProbability) as bits.

When to use this tool

Use Min Entropy Maxsymbol Contribution when you need one explicitly scoped entropy or support calculation.

How to use the tool and how it works

  1. Enter maximumProbability. 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 bits. Use the output convention below.

Require maximumProbability in (0, 1] and return -log2(maximumProbability) as bits.1

Input fieldMeaning and unitsAccepted input
maximumProbabilityMaximum ProbabilityRequired. Finite number; minimum 0; maximum 1; strictly above 0.
Output fieldInterpretationReturned shape
bitsInformation quantity measured in bits.Required. Finite number.
json
{
  "input": {
    "maximumProbability": 0.25
  },
  "output": {
    "bits": 2
  }
}

Limitations and assumptions

  • The caller must provide the true maximum of a normalized distribution; that fact is not verified by this single-value calculation.
  • 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

Validate and align complete probability distributions before aggregating terms or interpreting an uncertainty estimate.

References

  1. Calculation and input contract: information/min-entropy-maxsymbol-contribution — tool.io

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