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Calculus: Implicit Two Variable Local Slope Tool

Compute the implicit tangent slope -Fx/Fy from already evaluated local partials, rejecting vertical/undefined slopes.

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Description

Return local slope for a supplied implicit equation F(x,y)=0.

An implicit relation defines local derivatives only where its smoothness and nonzero-partial hypotheses apply. Gradient and Hessian components supplied as numbers do not establish that a point lies on the level set or that a regular implicit function exists there.

Return local slope for a supplied implicit equation F(x,y)=0.

When to use this tool

Use Calculus: Implicit Two Variable Local Slope when evaluating the stated implicit-derivative or level-set term from supplied partial derivatives.

How to use the tool and how it works

  1. Enter partialX, partialY. 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 local slope for a supplied implicit equation F(x,y)=0. Require partialY != 0; slope = -partialX/partialY.1

Input fieldMeaning and unitsAccepted input
partialXPartial XRequired. Finite number.
partialYPartial YRequired. Finite number.
Output fieldInterpretationReturned shape
resultReturned calculated value or nested object under the stated output convention.Required. Object.
result.slopeSlopeCalculated result member: number.
json
{
  "input": {
    "partialX": 2,
    "partialY": 4
  },
  "output": {
    "result": {
      "slope": -0.5
    }
  }
}

Limitations and assumptions

  • The point must lie on a sufficiently differentiable regular level set; the function, point and implicit-function hypotheses are not verified.
  • 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

Check the original level-set equation, differentiability and the relevant implicit-function hypotheses before interpreting these local derivative formulas.

References

  1. Calculation and input contract: calculus/implicit-two-variable-local-slope — tool.io

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