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Polynomial Power Shift Transform

Multiply an ascending coefficient polynomial by x^shift using exact zero padding; nonnegative shifts only, bounded stored vector size.

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Description

Multiply an ascending coefficient polynomial by x^shift using exact zero padding; nonnegative shifts only, bounded stored vector size.

A coefficient list here is constant-first: index j multiplies x to power j. Thus [1, 2, 3] represents 1 + 2x + 3x². Trailing list zeros are high-power zeros; stored length can differ from mathematical degree, and the zero polynomial needs a separate degree convention.

Multiply an ascending coefficient polynomial by x^shift using exact zero padding; nonnegative shifts only, bounded stored vector size.

When to use this tool

Use this tool to multiply an ascending coefficient polynomial by x^shift using exact zero padding; nonnegative shifts only, bounded stored vector size.

How to use the tool and how it works

  1. Enter coefficients, shift using the field definitions below.
  2. Run the operation. Correct input errors before interpreting an output.
  3. Read result.coefficients. Use the ordering, boundary rules and absence conditions described below.

Prepend shift zeros to the constant-first coefficient list, representing multiplication by x to that nonnegative integer power.1

Input fieldMeaning and unitsAccepted input
coefficientsNonempty coefficients in ascending power order [constant, x, x², ...].Dense list of at most 128 finite numbers; integer/shape constraints above also apply.
shiftNonnegative integer power of x multiplying the polynomial.A finite safe integer within the operation’s stated bounds.
Output fieldInterpretation
resultObject containing the named fields below.
result.coefficientsResult coefficients in ascending power order.
json
{
  "input": {
    "coefficients": [
      1,
      2
    ],
    "shift": 2
  },
  "output": {
    "result": {
      "coefficients": [
        0,
        0,
        1,
        2
      ]
    }
  }
}

Limitations and assumptions

  • The resulting list must fit 128 coefficients; existing high-power zeros are retained.
  • Coefficient lists use ascending powers and ordinary floating-point arithmetic. Nonempty input is required; individual operations impose tighter size limits. The tool does not attach or check physical units for x and its coefficients.
  • Every declared top-level input field is required and unexpected fields are rejected. Ordinary strings are limited to 8,192 UTF-16 code units and lists to 128 entries, with tighter operation-specific bounds where stated. JSON text has bounded nesting and node counts.
  • Numeric outputs must be finite and no larger in absolute magnitude than the safe-integer limit; operations returning exact large integers use decimal text. Positions are zero-based and spans end exclusively unless the operation explicitly states a different convention.

Alternative or Complementary methods

Check coefficient order before importing data from another algebra library. Use separate root-finding or symbolic algebra methods when an operation requires more than the stated coefficient transformation.

References

  1. Tool behavior and example: Polynomial Power Shift Transform — tool.io

Similar or alternative tools

  • Polynomial Dense from Power Pairs

    Build bounded dense ascending coefficients by summing explicit sparse power occurrences into a supplied maximum degree; duplicates are summed, missing powers are zeros.

  • Polynomial Low Power Remainder

    Split ascending polynomial coefficients into remainder modulo x^k and quotient by x^k; not general polynomial long division.