ToolJovia
Math

Linear-factor Partial Fractions Workbench

Decompose a coefficient-defined rational function with supplied repeated linear factors and an exact reconstruction witness.

✓ Browser-local processing

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How to use Linear-factor Partial Fractions Workbench

Construct the declared denominator, long-divide any improper fraction and solve a coefficient identity for every repeated-factor term without parsing symbolic code.

  1. Use the example as the schema; replace its labels and entered model assumptions.
  2. Construct the declared denominator, long-divide any improper fraction and solve a coefficient identity for every repeated-factor term without parsing symbolic code.
  3. Calculate, inspect the complete witnesses and limitations, then copy or download the JSON report.

Good to know

  • Numerator has 1–21 ascending-power decimal-string coefficients; nonzero scale and distinct decimal-string roots have magnitude at most 1 billion. Each multiplicity is an integer 1–6, total denominator degree at most 12.
  • Only supplied rational linear factors; no automatic root finding, irreducible quadratic/complex factors, symbolic variable parsing or integration. Original denominator poles remain excluded, including canceled factors. Exact intermediate bit budgets may refuse extreme coefficient growth.
  • Local calculation with no upload, input persistence or outside lookup. Model JSON is limited to 30,000 characters and 10,000 values. Decimal quantities are strings with up to six places; count fields use plain JSON integers. Exact fractions are capped at 8,192 bits. The complete JSON output is limited to 1,000,000 characters; approximate numbers preserve their stored values. Unsupported states fail explicitly.

Common questions

Do canceled factors make an original pole valid?

No. The original rational function is undefined wherever its supplied denominator is zero. A zero returned partial-fraction coefficient or simplified algebraic form does not change that original domain.

Are my model inputs saved or sent to a server?

No. This model runs in the current browser tab and creates a local JSON download. It does not save your input or call an external data service.

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