18.13 Continued Fractions18.15 Asymptotic Approximations

§18.14 Inequalities

Contents

§18.14(i) Upper Bounds

Hermite

18.14.9 \frac{1}{(2^{n}n!)^{{\frac{1}{2}}}}e^{{-\frac{1}{2}x^{2}}}|\mathop{H_{{n}}\/}\nolimits\!\left(x\right)|\leq 1, -\infty<x<\infty.

For further inequalities see Abramowitz and Stegun (1964, §22.14).

§18.14(ii) Turan-Type Inequalities

Legendre

18.14.10 (\mathop{P_{{n}}\/}\nolimits\!\left(x\right))^{2}\geq\mathop{P_{{n-1}}\/}\nolimits\!\left(x\right)\mathop{P_{{n+1}}\/}\nolimits\!\left(x\right), -1\leq x\leq 1.

Jacobi

Let R_{n}(x)=\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(x\right)/\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(1\right). Then

18.14.11 (R_{n}(x))^{2}\geq R_{{n-1}}(x)R_{{n+1}}(x), -1\leq x\leq 1, \beta\geq\alpha>-1.

Hermite

18.14.13 (\mathop{H_{{n}}\/}\nolimits\!\left(x\right))^{2}\geq\mathop{H_{{n-1}}\/}\nolimits\!\left(x\right)\mathop{H_{{n+1}}\/}\nolimits\!\left(x\right), -\infty<x<\infty.

§18.14(iii) Local Maxima and Minima

Jacobi

Let the maxima x_{{n,m}}, m=0,1,\dots,n, of |\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(x\right)| in [-1,1] be arranged so that

18.14.14 -1=x_{{n,0}}<x_{{n,1}}<\cdots<x_{{n,n-1}}<x_{{n,n}}=1.

When (\alpha+\tfrac{1}{2})(\beta+\tfrac{1}{2})>0 choose m so that

18.14.15 x_{{n,m}}\leq(\beta-\alpha)/(\alpha+\beta+1)\leq x_{{n,m+1}}.

Then

Also,

18.14.18 |\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(x_{{n,0}}\right)|<|\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(x_{{n,1}}\right)|<\cdots<|\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(x_{{n,n}}\right)|, \alpha\geq-\tfrac{1}{2}, -1<\beta\leq-\tfrac{1}{2},
18.14.19 |\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(x_{{n,0}}\right)|>|\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(x_{{n,1}}\right)|>\cdots>|\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(x_{{n,n}}\right)|, \beta\geq-\frac{1}{2}, -1<\alpha\leq-\tfrac{1}{2},

except that when \alpha=\beta=-\tfrac{1}{2} (Chebyshev case) |\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(x_{{n,m}}\right)| is constant.

Szegö–Szász Inequality

18.14.20 \left|\frac{\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(x_{{n,n-m}}\right)}{\mathop{P^{{(\alpha,\beta)}}_{{n}}\/}\nolimits\!\left(1\right)}\right|>\left|\frac{\mathop{P^{{(\alpha,\beta)}}_{{n+1}}\/}\nolimits\!\left(x_{{n+1,n-m+1}}\right)}{\mathop{P^{{(\alpha,\beta)}}_{{n+1}}\/}\nolimits\!\left(1\right)}\right|, \alpha=\beta>-\tfrac{1}{2}, m=1,2,\dots,n.

For extensions of (18.14.20) see Askey (1990) and Wong and Zhang (1994a, b).

Laguerre

Let the maxima x_{{n,m}}, m=0,1,\dots,n-1, of |\mathop{L^{{(\alpha)}}_{{n}}\/}\nolimits\!\left(x\right)| in [0,\infty) be arranged so that

18.14.21 0=x_{{n,0}}<x_{{n,1}}<\dots<x_{{n,n-1}}<x_{{n,n}}=\infty.

Hermite

The successive maxima of |\mathop{H_{{n}}\/}\nolimits\!\left(x\right)| form a decreasing sequence for x\leq 0, and an increasing sequence for x\geq 0.