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Jackson: a quantitative speed for approximating Lipschitz functions by polynomials

Contribution grade

Approximation theory · Exact theorem and reusable mathematical method

Reference score340,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Weierstrass guarantees that a continuous curve can be approximated by polynomials, but does not give one useful speed for all continuous curves. Jackson adds a regularity condition: the change in the function must be bounded by a constant times the change in its input. For such a Lipschitz function on a compact interval, he constructs polynomials of degree at most n whose largest error is bounded by a constant divided by n. His route first smooths the curve with a fourth-power sinc kernel, then replaces that kernel by a polynomial while tracking error and degree. This supplies a quantitative approximation capability.

Scientific scope

Weierstrass guarantees that a continuous curve can be approximated by polynomials, but does not give one useful speed for all continuous curves. Jackson adds a regularity condition: the change in the function must be bounded by a constant times the change in its input. For such a Lipschitz function on a compact interval, he constructs polynomials of degree at most n whose largest error is bounded by a constant divided by n. His route first smooths the curve with a fourth-power sinc kernel, then replaces that kernel by a polynomial while tracking error and degree. This supplies a quantitative approximation capability. The constant depends on the function and interval; the theorem does not give the same rate for all continuous functions, a sharp best constant or convergence of ordinary Fourier partial sums. The linked archival scan repeats printed page 18 and omits page 19. Its theorem statement is available, but the scan has this gap in the construction. Other dissertation extensions are outside this contribution.

Evidence

The linked original works support the scoped statement and contribution attribution. WRS has not independently replayed experiments or reconstructed a full mathematical proof. The constant depends on the function and interval; the theorem does not give the same rate for all continuous functions, a sharp best constant or convergence of ordinary Fourier partial sums. The linked archival scan repeats printed page 18 and omits page 19. Its theorem statement is available, but the scan has this gap in the construction. Other dissertation extensions are outside this contribution.

Contributors

Provisional WRS assessment, edition 2026-10-23.7. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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