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Statement
Setting (pp. 510--512). The th row of the node matrix is (display (2)), (display (5b)) and are the fundamental functions of Lagrange interpolation. Following Fejér, the matrix is strongly normal (display (9b), p. 512) when there is a positive constant , independent of , and , with
then on (display (11)).
Theorem I (p. 521, quoted). "For strongly normal matrices we have in
The paper says (p. 522) that the bound cannot be essentially improved on , pointing to the strongly normal matrix of roots of the Jacobi polynomials with both parameters equal to , whose value at it gives as . In the introduction (p. 515) it calls it probable that on the factor can be omitted, with replaced by a constant ; this is not proved.
Proof pointer
Pp. 521--522. The paper gives two proofs. The first compares the arithmetic and geometric means of and uses Schur's bound for over nodes in ; it yields the same shape with a constant . The second, which gives the constant , rests on Lemma I (p. 521): if then , with equality only for , where . Lemma I is proved through the extremal polynomial of degree with leading coefficient that minimizes the maximum of its absolute values at the nodes, compared with the Chebyshev polynomial. Writing and applying Cauchy--Schwarz with (from Fejér's identity (10)) gives the theorem.
Read depth
Claims checked: the definitions, Theorem I and Lemma I were read clause by clause on the page images of the print; both proofs were followed for structure. Nothing here is independently reviewed.
Dependencies
None in the corpus. External inputs named by the paper: Fejér's definition of strongly normal matrices and identity (10), and Schur's theorem on the product (for the first proof only).
Source. P. Erdős and P. Turán, On interpolation. III. Interpolatory theory of polynomials, Annals of Mathematics (2) 41 (3) (1940), 510--553, DOI 10.2307/1968733; the edition read is named on the source card.
Bears on
None of the problem pages directly.