methodNumerical methods

Interpolation

Estimate values between computed or measured samples under a declared local model and bounded domain.

Working definition

Interpolation constructs an approximating function that agrees with known samples and estimates values between them. Polynomial, spline, rational, and trigonometric methods make different smoothness and stability assumptions; interpolation should not be silently extended into extrapolation.

Notation

p(xᵢ) = yᵢf(x) = p(x) + R(x)

Assumptions

  • The target lies inside the supported sample range.
  • Sampling resolves relevant variation.
  • The selected interpolant matches local smoothness.

Invariants

  • The interpolant reproduces declared nodes within tolerance.
  • Units are preserved.
  • Method and node set determine the result.

Reproducible procedure

  • Select bracketing samples.
  • Choose a stable interpolation family.
  • Estimate or test residual error against denser references.

Error and boundary controls

  • High-degree equispaced polynomials can oscillate.
  • Sparse nodes miss sharp changes.
  • Interpolation error is separate from source-data error.

What this does not establish

Interpolation fills a numerical gap under a model; it does not create observations or justify extrapolated predictions.

Explicit applications

1 cross-domain bridges

Celestial factscalculation

Ephemeris state interpolation

Estimate a body state between tabulated or integrated ephemeris samples.

Inputs

  • bracketing state vectors
  • target epoch
  • interpolation method

Outputs

  • state estimate
  • method identifier
  • residual bound

Transformation: Interpolate within the supported interval and compare against denser reference output.

Limit: Interpolation cannot repair an incorrect ephemeris, timescale, or observer origin.

Open connected system →

Authoritative references

  1. [1]DLMF Chapter 3: Numerical Methods · National Institute of Standards and Technology

    Establishes: Reference definitions, algorithms, convergence conditions, and error terms for interpolation, quadrature, differentiation, and nonlinear equation solving.

    Boundary: A numerical method is reliable only under its stated regularity, conditioning, precision, and convergence assumptions; the reference does not validate any domain interpretation.

  2. [2]JPL Horizons System · NASA Jet Propulsion Laboratory

    Establishes: Ephemeris products and documented observer, target, timescale, coordinate, and output conventions for reproducible Solar System state and observable calculations.

    Boundary: Ephemeris agreement validates positions under declared conventions; it does not validate downstream symbolic classifications or interpretations.

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