Riesz Means of Dirichlet Eigenvalues for the Sub-Laplace Operator on the Engel Group ()
1. Introduction
The Engel group is a Carnot group of step (see [1]), its Lie algebra is generated by the left-invariant vector fields
where is a point of. It is easy to see that
and. So the Lie algebra of is
where and
. The sub-Laplace operator on is of the form.
In the paper, we investigate the Riesz means of the Dirichlet problem
(1.1)
in the Engel group. Here is a bounded and noncharacteristics domain in, with smooth boundary. The existence of eigenvalues for (1.1) is from [2]. Let us by denote the Riesz means of order of the sequence of eigenvalues of (1.1).
The Riesz means of Dirichlet eigenvalues for the Laplace operator in the Euclidean space have been extensively studied(see [3-5]). In recent years, E. M. Harrell II and L. Hermi in [6] treated the Riesz means of order of on the bounded domain and pointed out that: for and,
(1.2)
and is a nondecreasing function of; for
and,
(1.3)
and is a nondecreasing function of z, and then the Weyl-type estimates of means of eigenvalues is derived.
Jia et al. in [7] extended (1.2), (1.3) to the Heisenberg group.
The main results of this paper are the following.
Theorem 1.1 For and, we have
(1.4)
(1.5)
and is a nondecreasing function of z; for
and, we have
(1.6)
(1.7)
and is a nondecreasing function of z.
Theorem 1.2 Suppose that, then
(1.8)
and therefore
(1.9)
(1.10)
Moreover, for all, we have the upper bound
(1.11)
Theorem 1.3 For, we have
(1.12)
Authors in [6] combined the Weyl-type estimates of means of eigenvalues established in [6] and the result in [8] to obtain the Weyl-type estimates of eigenvalues. But it is not easy to extend the result in [8] to the Engel group. The Weyl-type estimates of eigenvalues for (1.1) still are open questions.
This paper is arranged as follows. In Section 2 the definition of Riesz means and Lemmas are described; Section 3 is devoted to the proof of Theorem 1.1. The proof of Theorem 1.2 is appeared in Section 4. In Section 5 the proof of Theorem 1.3 is given.
2. Preliminaries
Definition 2.1 For an increasing sequence of real numbers and, the Riesz means of order of is defined by
where is the ramp function.
Clearly,
(2.1)
Similarly to Theorem 1 of [9], we immediately have
Lemma 2.2 Denoting the -normalized eigenfunctions of (1.1) by, let
for Then for each fixed, we have
(2.2)
Lemma 2.3 ([10]) Let and, then
where
3. The Proof of Theorem 1.1
In this section, we prove Theorem 1.1 and two corollaries.
Proof. Let us use (2.2) and denote the first term on the right-hand side of (2.2) by. Applying Lemma 2.3 it follows
here we used the symmetry on and in the last step.
Putting the above estimate into (2.2), we have
(3.1)
where we denote
(3.2)
Since is a complete orthonormal set, it follows
and
Returning to (3.1) with them, it yields
(3.3)
Since
we have
namely,
(3.4)
We consider three cases: 1); 2) and 3).
1). In this case, it sees and
Since, it follows
and therefore
Substituting this into (3.4), we obtain
and
Now (1.4) is proved.
Using (2.1), we have
and (1.5) is proved.
Since
it follows that is a nondecreasing function of.
2). Now, so and
(3.5)
Then
and
Substituting this into (3.4), we obtain
namely,
and (1.4) is proved.
The remainders are discussed similarly to 1).
3). In this case, so and
Substituting this into (3.4), we have
and (1.6) is proved.
Noting (2.1), it implies
and (1.7) is proved.
Similarly,
thus is a nondecreasing function of.
Corollary 3.1 For all and,
(3.6)
where.
Proof. 1) Notingfor any, it follows from Theorem 1.1 that for all,
So
(3.7)
Since (3.7) holds for arbitrary, it yields
Due to
we see that when , it gets
For, we have
and the inequality in the left-hand side of (3.6) is valid.
2) By the Berezin-Lieb inequality (see [11]), we have
Notice that is nondecreasing to, it follows
and the inequality in the right-hand side of (3.6) is proved.
Corollary 3.2 1) For and,
(3.8)
2) For and,
(3.9)
Proof. 1) By Corollary 3.1 we know that for and, it holds
(3.10)
Using Theorem 1.1, we have
(3.11)
Combining (3.10) and (3.11), it follows
and (3.8) is proved.
2) By Corollary 3.1, it shows that for and, it holds
(3.12)
From Theorem 1.1, we see that for,
(3.13)
In the light of (3.12) and (3.13), it obtains
Noting that, forwe have
and (3.9) is proved.
Remark 3.3 Specially, we have
(3.14)
(3.15)
4. Proof of Theorem 1.2
Denote
and let be the greatest integer such that.
Let, it implies that and, so
(4.1)
For any integer j and, it implies, and
Using Theorem 1.1, we have that for,
or
(4.2)
By the Cauchy-Schwarz inequality, it follows
and
(4.3)
Proof of Theorem 1.2 1) Substituting into (4.2) and noticing (4.3), we have
and (1.8) is proved.
2) We take (1.8) into (3.14) to obtain
and (1.9) is proved.
3) Combining (1.8) and (3.15), it implies
and (1.10) is proved.
4) If, then (1.11) is clearly valid; if
, then (1.10) shows by letting that
So (1.11) is proved and Theorem 1.2 is proved.
Corollary 4.1 We have
and
(4.4)
5. Proof of Theorem 1.3
We first recall the following definition before proving Theorem 1.3.
Definition 5.1 If is superlinear in z as, then its Legendre transform is defined by
(5.1)
Remark 5.2 If for all, then for all; Since the maximizing value of in (5.1) is a nondecreasing function of, it follows that for sufficiently large, the maximizing exceeds.
Proof of Theorem 1.3 From (1.9), we have
(5.2)
Now let us calculate. Since
is piecewise linear function of, it implies that the maximizing value of in the Legendre transform of is attained at one of the critical values.
In fact if, then
Noting that the maximizing value of is a nondecreasing function of, we see, therefore the critical value.
It is easy to check and
(5.3)
Next we calculate. Noting
and letting
we know. By, it solves
(5.4)
Therefore
(5.5)
Taking (5.3) and (5.5) into (5.2), we have
(5.6)
By (5.4), it has
From Theorem 1.2, , so.
Then it follows that if w is restricted to the valuethen (5.6) is valid.
Meanwhile, for any, we can always find an integer such that and
If and approaches to from belowthen we obtain from (5.5) that
Therefore
and Theorem 1.3 is proved.
Remark 5.3 If we let, then
(5.7)
We point out that (5.7) is sharper than (4.4). In fact, we get from (4.4) that
and
But is always valid, so (5.7) is sharper than (4.4).