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Strategy Support Positive Count Tool

Count supplied positive strategy masses under an explicit tolerance without asserting a normalized equilibrium.

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Description

Count entries strictly above tolerance and entries no greater than it.

A strategy's support identifies actions assigned positive mass under a stated threshold. Support flags, normalized probabilities and payoff indifference are separate properties, so one check does not establish a valid mixed-strategy equilibrium.

Count entries strictly above tolerance and entries no greater than it.

When to use this tool

Use Strategy Support Positive Count when you need a probability-mass or thresholded-support diagnostic.

How to use the tool and how it works

  1. Enter probabilities, tolerance. 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 supportCount, zeroWithinTolerance. Use the output convention below.

Require each probability in [0, 1] and nonnegative tolerance. Count entries strictly above tolerance and entries no greater than it.1

Input fieldMeaning and unitsAccepted input
probabilitiesIndividual [0, 1] masses; sum-to-one is not enforced.Required. Array of finite number; maximum items 256.
toleranceNonnegative threshold; support uses strictly greater than.Required. Finite number; minimum 0.
Output fieldInterpretationReturned shape
supportCountSupport CountRequired. Safe integer.
zeroWithinToleranceZero Within ToleranceRequired. Safe integer.
json
{
  "input": {
    "probabilities": [
      0.5,
      0.5,
      0
    ],
    "tolerance": 0
  },
  "output": {
    "supportCount": 2,
    "zeroWithinTolerance": 1
  }
}

Limitations and assumptions

  • The probabilities are not required to sum to one; tolerance can exceed one. This is thresholded support counting, not distribution validation.
  • 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 the complete distribution and compare payoffs of all relevant deviations. State any numerical tolerance and zero-mass convention before interpreting support as an equilibrium property.

References

  1. Calculation and input contract: game-theory/strategy-support-positive-count — tool.io

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