Abstract
We consider real univariate polynomials \(P_n\) of degree \( \le n \) from class
which encompasses the unit ball of polynomials with respect to the uniform norm on \([- 1, 1]\). For pairs of consecutive coefficients of \( P_n(x) = \sum \nolimits _{k=0}^{n}a_kx^k\) there holds the inequality
where \(T_n(x)=\sum \nolimits _{k=0}^{n} t_{n,k}x^k\) is the \(n\)-th Chebyshev polynomial of the first kind. (1) implies Markov’s classical coefficient inequality of 1892 (Math. Ann. 77:213–258, 1916, p. 248) and goes back to Szegö, but was made public by P. Erdös (Bull. Am. Math. Soc. 53:1169–1176, 1947, p. 1176) in 1947. We ask here: will the (nonzero) coefficients of \(T_n\) likewise majorize complementary pairs \(|a_k| + |a_{k+1}|\)? More generally: does there hold
\(\text{ where }\; k < j \;\text{ and }\; k\equiv n\mod 2\;\text{ but }\; j\not \equiv n\mod 2 ?\) We treat the marginal cases \(n < 12\) separately, and for \(n \ge 12\) we provide answers to this question with the aid of the explicitly determined optimal bound \(K \sim \lceil \frac{n}{\sqrt{2}}\rceil \) which incorporates the height and the length of \( \frac{T'_n(x)}{n}\). Theorem 2.1: (2) holds, provided \(K \le k < j\); in particular, provided \(\frac{n}{\sqrt{2}}<k<j\). As a corollary we reveal new extremal properties of the leading coefficients of \(\pm T_n\). Theorem 2.4: (2) does not hold if \(k < j < K\). Theorem 2.5: If \(k < K < j\), then (2) holds for certain, but not for all, \(k\) and \(j\). If we keep fixed \(j = n-1> K\), then (2) holds for all \(k\) with \(k_{*}\le k < j\), where the bound \(k_{*} < K\) is explicitly determined, and is optimal for \(n\le 43\). In Theorem 2.6 we return to G. Szegö’s original inequality (1) and constructively prove the non - uniqueness of its extremizer \(\pm T_n\).
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Rack, HJ. Companion theorems to G. Szegö’s inequality for pairs of coefficients of bounded polynomials. Period Math Hung 68, 54–76 (2014). https://doi.org/10.1007/s10998-014-0019-2
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DOI: https://doi.org/10.1007/s10998-014-0019-2
Keywords
- Coefficient
- Estimate
- Extremal (points, polynomial, problem)
- Inequality (Chebyshev, Markov, Shohat, Szegö)
- Pair of coefficients
- Polynomial (bounded, Chebyshev, Rogosinski)