Laguerre polynomials
[11/82%]Prove that the system of Laguerre polynomials
is an orthonormal basis in the space .
If the sequence is orthogonalized in , the sequence is obtained, where
The functions are called Laguerre polynomials.
The Chebyshev--Laguerre polynomials are defined as follows:
Find an explicit expression for the polynomial .
Prove that satisfies the equation
Prove that the Chebyshev--Laguerre polynomial
has all its roots positive.
Find the generating functions of the polynomials , , , defined by the formulas
(Legendre's polynomials);
, , (Jacobi's polynomials);
, (generalized Laguerre's polynomials).
Cf.Part VI, problems 84, 98, 99. The generating function of the Legendre polynomials is the series
the sum of which has to be found as a function of and ; similarly in the other two cases.
One may define the Legendre, the Laguerre and the Hermite polynomials by the formulae
respectively (problems 84, 99, 100 of Part Six). Deduce from this definition that these polynomials have only real and simple zeros, which lie in the interior of the intervals
respectively (problems 97, 99, 100 of Part Six).
Prove the analogues of problems 84, 85, 87--91, 97 for the generalized Laguerre polynomials
defined by the following conditions: (1), (2) is of degree , has real coefficients and orthogonality property
\int _0^{\infty } e^{-x}x^\alpha L_m^{(\alpha )}(x)L_n^{(\alpha )}(x)\, dx = \begin{cases} 0, & \text{for } m \neq n, \\ ]4pt] \Gamma (\alpha +1)\dbinom {n+\alpha }{n}, & \text{for } m=n; \quad m,n=0,1,2,\ldots ; \end{cases} \[ (3) the coefficient of $x^n$ in $L_n^{(\alpha )}(x)$ has the sign $(-1)^n$. \]If and are the functions defined in problems 98 and 99, respectively, then we have
if converges to as increases in such a manner that
If and are the functions defined in problems 99 and 100, respectively, then we have
Let be a constant, . Determine the maximum of for all polynomials of th degree which satisfy the condition
How does this maximum behave for large values of ?
Compute
State and solve the corresponding maximum problem, as in Exercise 14.