A uniqueness theorem for higher order anharmonic oscillators
Abstract.
We study for , the family of self-adjoint operators
in and show that if is even then gives the unique minimum of the lowest eigenvalue of this family of operators. Combined with earlier results this gives that for any , the lowest eigenvalue has a unique minimum as a function of .
Key words and phrases:
Eigenvalue estimation, Anharmonic oscillator, Spectral parameter.1991 Mathematics Subject Classification:
47A75; 47E05, 34L15, 34B081. Introduction
1.1. Definition of and main result
For any and we define the operator
as a self-adjoint operator in . This family of operators is connected with the study of Schrödinger operators with a magnetic field vanishing along a curve and with the Ginzburg-Landau theory of superconductivity. It first appeared in [9] (for ) and was later studied in [7, 10, 6, 5, 8, 2, 3, 4].
We denote by the increasing sequence of eigenvalues of . In particular, is the ground state eigenvalue, and we denote by the associated positive, -normalized eigenfunction.
The main result of the present paper is the following theorem.
Theorem 1.1.
Assume that is an even integer. Then attains a unique minimum at . Moreover, this minimum is non-degenerate.
Remark 1.2.
This extends the previous results and discussions in [5, 8], where similar results were obtained for odd . The non-degeneracy was proved in [8]. In that paper it was also shown that Theorem 1.1 is valid for large even . The fact that the minimum is attained at was suggested by numerical computations done by V. Bonnaillie–Noël.
Theorem 1.3.
For any , the function attains a unique minimum. Moreover, this minimum is non-degenerate.
2. Auxiliary results
2.1. Introduction
In this section we collect several spectral bounds that will help us in proving Theorem 1.1. In the following, we assume that denotes a positive even integer.
With the scaling it becomes clear that the form domain of is independent of . Thus, we are allowed to use the machinery of analytic perturbation theory.
First we note that and are unitarily equivalent (map along with ). This implies that the function is even, and hence has a critical point at . It is proved in [8] that this critical point is a nondegenerate minimum. This also follows from our estimates below.
Lemma 2.1.
If is a critical point of , then
and
Sketch of proof.
The first identity, usually referred to as the Feynman–Hellmann formula, follows from first order perturbation theory,
The second is a virial type identity and is proved by scaling. We refer to [8] for the details. ∎
2.2. Positive second derivative
A key element in our approach is the following Lemma 2.2, which can be used to rule out local maxima under appropriate estimates on the first eigenvalues.
Lemma 2.2 (Lemma 2.3 in [8]).
If is a critical point of and
then
We give a sketch of the proof for the sake of completeness.
Sketch of proof.
The proof is based on perturbation theory. The second derivative of is given by
Here
where the inverse is the regularized resolvent. The rest of the proof uses Lemma 2.1, the bound
and the Cauchy-Schwarz inequality. ∎
To apply Lemma 2.2 we need good upper bounds on and lower bounds on . These will be presented in the sections below.
2.3. Upper bounds
We will at several points need upper bounds on the first eigenvalue of . They are given in this section.
Lemma 2.3.
Assume that is a critical point of . Then, for all it holds that
Proof.
This follows by inserting the eigenfunction corresponding to of into the quadratic form corresponding to and using Lemma 2.1 ∎
Lemma 2.4.
For all it holds that
with
Proof.
For we refer to Lemma 3.1 in [8]. For we use the same idea but with a different trial state. A calculation of the energy of the function
gives ()
Minimizing in , we get the bound
attained for
∎
Lemma 2.5.
The function
appearing in Lemma 2.4 is increasing for . In particular it is always bounded from above by .
Proof.
We will in the proof consider to be a real variable. Taking the logarithmic derivative of the expression, we get
with (here we note that each term is increasing with and thus estimate from below with )
Now, the polynomial
satisfies
Since for we find that is positive for . This implies that the function in the statement is increasing. The final part follows since the limit as is . ∎
2.4. Lower bounds
To be able to use Lemma 2.2 we need lower bounds on the second eigenvalue. The following function will appear in the bounds.
Lemma 2.6.
It holds that
(2.1) | ||||
Moreover, .
Proof.
Differentiating with respect to gives
with the unique zero (in ) at . Since the function is zero at the endpoints and positive for this must be the maximum. This proves (2.1)
Lemma 2.7.
Proof.
Let and . Then the commutator equals
With the Cauchy–Schwarz inequality and the weighted arithmetic-geometric mean inequality, we find that (for all )
Scaling the variable and invoking Lemma 2.6 gives the result. ∎
Lemma 2.8.
Proof.
Let . We use the estimate
valid for all . Comparing with the harmonic oscillator, and using Lemma 2.7, we get the required estimate for the second eigenvalue. The optimal choice of is
(2.2) |
∎
The lower bound of in Lemma 2.8 will tend to as , which compared to the limit for the first eigenvalue is not good enough. Our next aim is to improve this lower bound on for large .
Lemma 2.9.
Assume that is even and . Then
with
Proof.
We first do the commutator estimate
where in the latter step is chosen to be . Next we note that the second eigenvalue of
in equals the first eigenvalue of the operator
in with Dirichlet condition at . Let . Then
where we, again, impose a Dirichlet condition at . Here denotes the characteristic function of the set . Let us estimate the first eigenvalue of . Clearly
which is what one gets considering and imposing a Dirichlet condition at . The ground state of is given by (in the rest of this proof we write )
where
and where we have the gluing conditions at :
This gives the equation (in )
which has a unique solution in the interval . We think of and large, so that is small, and get
And so by monotonicity
i.e.
Now, without optimizing, we find that with and it holds that
∎
We will also need lower bounds on for large . This is the content of the following two Lemmas.
Lemma 2.10.
For and even it holds that
(2.3) |
with
In particular, if it holds that
for all .
Proof.
First we note that the potential is decreasing for all (in fact for all ), and thus it is greater than for all and all .
For and , we estimate
Here we used that the expression in the big sum is increasing both in and in , and then applied the formula for a geometric sum.
Thus, comparing with the minimum of the potential for and with the de Gennes operator for we conclude (2.3).
The last part follows by comparing the upper bound in Lemma 2.4 with the just obtained lower bound (and using the fact that which is known from [1]). This is done in Figure 1.

∎
We need a better bound for large than the one given in Lemma 2.10. We use instead as lower bound and find that
Lemma 2.11.
For it holds that
For the first term is the smallest one, i.e.
In particular cannot obtain its global minimum for .
Proof.
The proof is exactly the same as the proof of Lemma 2.10. The second statement follows from noticing that the second term in the minimum is increasing and that its value at is
while the first term in the minimum is less than .
3. Proof of Theorem 1.1 for
Lemma 3.1.
Proof.
Assume, to get a contradiction, that is a critical point. Then, invoking Lemma 2.4 and the definition of above, we find that
which by Lemma 2.2 implies that is a non-degenerate local minimum. Hence all critical points in must be non-degenerate local minimums. Now we know that zero is a non-degenerate local minimum. Since there cannot be more than one such in a row we get a contradiction. ∎
Lemma 3.2.
With and as in the previous Lemma it holds that cannot attain its global minimal value in the interval .
Proof.
Assume, to get a contradiction, that we have one in this interval where we have have a global minimum. Then, in particular, . Thus, combining again Lemmas 2.2 and 2.3 we find that any critical point in must be a non-degenerate minimum. However, by the previous Lemma we know that there are no critical points in , and so again we would have two non-degenerate minimums in a row. Since that is not possible we get a contradiction. ∎
Lemma 3.3.
Assume that is even. Denote by
where, again, is the upper bound on from Lemma 2.4 and is the lower bound on from Lemma 2.10.
If then cannot attain its global minimum.
Proof.
The proof of Theorem 1.1 is completed for by ploting and and noting that for these . This is done in Figure 2.

4. Proof of Theorem 1.1 for
Lemma 4.1.
Assume that . Then cannot have its global minimum for .
Proof.
Acknowledgements
SF was partially supported by the Lundbeck Foundation, the Danish Natural Science Research Council and the European Research Council under the European Community’s Seventh Framework Program (FP7/2007–2013)/ERC grant agreement 202859.
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