Local Lp inequalities for Gegenbauer polynomials
Local Lp inequalities for Gegenbauer polynomials
Laura De Carli
Abstract
In this paper we prove new Lp estimates for Gegenbauer polynomials Pn(s)(x). We let
d?s(x)
=
(1
-
x2
)s-
1 2
dx
be
the
measure
in
(-1, 1)
which
makes
the
polynomials
Pn(s)(x)
orthogonal, and we compare the Lp(d?s) norm of Pn(s)(x) with that of xn. We also prove
new Lp(d?s) estimates of the restriction of these polynomials to the intervals [0, zn] and
[zn, 1] where zn denotes the largest zero of Pn(s)(x).
1. Introduction
In this paper we will prove new Lp estimates for Gegenbauer, (or ultraspherical), polynomials.
The Gegenbauer polynomial of order s and degree n, Pn(s)(x), can be defined, for example, as the coefficients of n in the expansion of the generating function (1 - 2x + w2)-s =
nPn(s)n(x). Gegenbauer polynomials are orthogonal in L2(-1, 1) with the measure d?s(x) =
n=0
(1
-
x2)s-
1 2
dx.
Other
properties
of
these
polynomials
are
listed
in
the
next
Section.
In this paper we aim to estimate the Lp(d?s) norm of Gegenbauer polynomials and the
Lp(d?s) norm of their restrictions to certain intervals of [-1, 1] in terms of the Lp(d?s) norm of xn.
This
choice
is
motivated
by
the
fact
that
lim
s
Pn(s)(x)
=
xn.
This
is
easy
to
prove
using
e.g.
the explicit representation (2.2). In [DC] the sharp inequality
|Pn(s)(x)| Pn(s)(1)
|x|n + n - 1 (1 - |x|n) 2s + 1
(1.1)
1+ 5
has been proved for Gegenbauer polynomials of order s n
.
4
A
pointwise
comparison
between
Pn(s)(x)
=
Pn(s)(x) Pn(s)(1)
and
xn
is
meaningful
only
when
s
is
much larger that n.
Gegenbauer polynomials of large degree behave like Bessel functions, in the sense that
lim
n
Pn(s)
cos
z n
Pn(s)(1)
=
1 s+
2
z
-s+
1 2
2
Js-
1 2
(z
).
(1.2)
(1.2) easily follows from a well known Mehler-Heine type asymptotic formula for general Jacobi
polynomials, (see [Sz], pg. 167). However, Pn(s)(x) and xn have the same L norm for every s > 0 and every n 0 is. Indeed,
sup Pn(s)(x) = sup |xn| = 1
x[-1,1]
x[-1,1]
1
because |Pn(s)(x)| Pn(s)(1), (see the next Section). Also the ratio between the L2(d?s) norm of Pn(s)(x) and the L2(d?s) norm of xn can be
estimated for every n and s.
We prove the following
Proposition
1.1
The
function
N2(n, s) =
||Pn(s)||L2(d?s) ||xn||L2(d?s)
is
decreasing
with
s,
and
2-
n 2
(n
+
1)
1 2
n
+
1 2
=
lim
s
N2
(n,
s)
<
N2(n, s)
lim
s0
N2(n,
s)
=
(n
+
1)
1 2
2
n
+
1 2
.
(1.3)
Thus,
2-
n 2
1 4
n
1 4
1
< N2(n, s) < n 4 .
(1.4)
It
is
interesting
to
observe
that
N2(n,
1 2
)
=
1.
This follows from the explicit formula for
N2(n, s)
in
Section
2.
By
Proposition
1.1,
N2(n, s)
=
1
if
and
only
if
s
=
1 2
.
Proposition
1.1
shows
that
while
it
is
true
that
lim
s
Pn(s)(x)
=
xn,
and
lim
s
||Pn(s)(x)||L(d?s)
=
||xn||L(d?s),
it
is
not
true
in
general
that
lim
s
||Pn(s)||L2(d?s)
=
||xn||L2(d?s).
These consideration suggested us to investigate the ratio of the Lr(d?s) norms of Pn(s)(x) and xn for other values of r. We let
Nr(n, s)
=
||Pn(s) ||Lr (d?s ||xn ||Lr (d?s )
)
,
1 r .
Our next Lemma suggests that Nr(n, s) can be bounded above by a power of N2(n, s).
Lemma 1.2 For every s > 0, n 1, and r 2,
2
r
1 r
(s+
1 2
)
Nr(n, s) N2(n, s) r 2
,
(1.5)
and
1
r
1 r
(s+
1 2
)
Nr(n, s) n 2r 2
.
(1.6)
When s 0 this upper bound is sharp, in the sense that the power of n in (1.6) cannot be replaced by a smaller power.
The proof of the Lemma is in Section 3.
Numerical
evidence
suggests
that
2
Nr(n, s) N2(n, s) r
when
s
1 2
and
1r
.
When
0s<
1 2
we
conjecture
instead
that
2
Nr(n, s) N2(n, s) r .
The upper bound in Lemma 1.2 can be improved if we restrict Pn(s)(x) to the intervals {1 |x| zn} and (-zn, zn), where zn denotes the largest positive zero of Pn(s)(x).
Our main result is the following.
2
Theorem 1.3 For every n > 2, s > 0, and r 1,
2
sin r
n+1
(1
-
zn2 )
1 r
(s+
1 2
)
||Pn(s) ||Lr ({1|x|zn }, ||xn ||Lr (d?s )
d?s)
p(n,
s)(s+
1 2
)
[
1 n+1
2
]r
,
n
(s) (n + 2 s)
where
p(n, s)
=
(1 - zj) =
j=1
2n (2 s) (n + s)
is
as
in
(2.15).
(1.7)
Using Stirling's formula, it is possible to prove that
lim
p(n,
s)s+
1 2
=
e , -
n(n-1) 4
and
thus
s
lim
s
||Pn(s) ||Lr ({1|x|zn }, ||xn ||Lr (d?s )
d?s)
lim
p(n,
s)(s+
1 2
)
2 nr
s
=
e-
n-1 2r
.
We have recalled in the next Section that zn < cos n + 1
(n - 1)(n + 2s - 2) , (see
(n + s - 2)(n + s - 1)
(2.12)), and so
2
lim sin r
s
n+1
(1
-
zn2 )s+
1 2
2
> sin r
(n - 1)(n + 2s - 2) cos2 lim 1 -
n+1
s+
1 2
n + 1 s
(n + s - 2)(n + s - 1)
2
= sin r
e-
2 r
(n-1)
cos2(
n+1
)
.
n+1
From the inequalities above and (1.7) follows that
2
sin r
n+1
e-
2 r
(n-1)
cos2(
n+1
)
<
lim
s
||Pn(s) ||Lr ({1|x|zn }, ||xn ||Lr (d?s )
d?s)
<
e-
n-1 2r
.
(1.8)
This
upper
bound
is
not
sharp;
in
fact
we
have
proved
in
Proposition
1.1
that
lim
s
N2(n,
s)
=
(n)
1 4
2-
n 2
,
while
Lemma
1.3
yields
lim
s
||Pn(s) ||Lr ({1|x|zn }, ||xn ||Lr (d?s )
d?s)
e-
n-1 4
,
and
e-
n-1 4
>
(n)
1 4
2-
n 2
for every n 2. However, Theorem (1.3) is interesting because it provides an upper and lower
bound for the Lr({1 |x| zn}, d?s) norm of Pn(s)(x) and is valid for every r 1.
Since
lim
s
zn
=
0,
(see
the
next
Section),
it
is
natural
to
conjecture
that
Nr (n,
s)
is
bounded
above by a constant independent of s. In order to prove this conjecture we should prove that
also the ratio of the Lr(d?s) norm of Pn(s)(x) in (-zn, zn) and ||xn||Lr(d?s) is a bounded function
of s.
In the next Theorem we estimate the Lr(d?s) norm of Pn(s)(x) in (-zn, zn) through interpo-
lation.
Theorem 1.4 For every r 2, s > 0 and n 2,
||Pn(s)||Lr((-zn, zn), ||xn ||Lr (d?s )
d?s)
2
N2(n, s) r
n(n + 2s)
1-
2 r
2s + 1
zn2
nr 2
+
s
+
1
n
-
1 2
n(
1 2
-
1 r
)
3
where zn denotes the largest zero of Pn(s). Furthermore,
lim
s
||Pn(s)||Lr((-zn, zn), ||xn ||Lr (d?s )
d?s)
n1-
2 r
2n(
1 2
-
1 r
)
N2
(n,
2
s) r
.
From Theorems 1.3 and 1.4 and Proposition 1.1 we can easily prove the following
Corollary
1.5
For
every
n2
and
every
r
2,
lim
s
Nr
(n,
s)
is
finite.
If
r
................
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