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1 Correction to: Journal of Fourier Analysis and Applications (2017) 23:530–571 https://doi.org/10.1007/s00041-016-9478-6
Our paper [1] contains an error in the proof of Proposition 8.1. More precisely the estimate claimed in Eq. (8.3) is erroneously motivated. In the following we state and prove Proposition 8.1 correctly.
We need the Hermite functions
and formal series expansions
where \(\{ c_\alpha \}\) is a sequence of coefficients defined by \(c_\alpha = c_\alpha (f) = (f,h_\alpha )\). The Hermite functions \(\{ h_\alpha \}_{\alpha \in \mathbf {N}^{d}} \subseteq L^2(\mathbf {R}^{d})\) is an orthonormal basis.
Langenbruch [4, Theorem 3.4] has shown that the family of Hilbert sequence spaces
for \(r > 0\) yields a family of seminorms for \(\Sigma _s(\mathbf {R}^{d})\) that is equivalent to the family (2.3) for all \(h > 0\), when \(t = s > \frac{1}{2}\). Thus \(\Sigma _{s}(\mathbf {R}^{d})\) can be identified topologically as the projective limit
Lemma
If \(s > \frac{1}{2}\) and \(h > 0\) then
where \(C_{h,s} > 0\).
Proof
It is clear that
where \(p_{k}\) is a polynomial of order \(k \in \mathbf {N}\). By induction one can prove the formula
Since \(k! \leqslant 2^k (k-2m)! (2m)!\) we can estimate
Combining with \(m! = m!^{2s -\varepsilon }\) where \(\varepsilon = 2s-1 > 0\), this gives for any \(h > 0\) and \(b > 0\)
where we pick \(b = s \, 4^{\frac{1}{s}} h^{-\frac{1}{s}}\) in the last equality, and \(C_{h,s} > 0\). Thus since \(\frac{1}{s} < 2\)
for a new constant \(C_{h,s} > 0\). \(\square \)
The corrected result concerns operators with Schwartz kernel of the oscillatory integral form
where \(x,y \in \mathbf {R}^{d}\). Here p is a quadratic form on \(\mathbf {R}^{2d+N}\) associated with the positive Lagrangian that is defined by the twisted graph of the matrix \(T \in {\text {Sp}}(d,\mathbf {C})\) which is assumed to be positive in the sense of [3, Eq. 5.10]. The kernel is, modulo sign, independent of the form p and the dimension N, thanks to the the factor in front of the integral [3, p. 444].
Proposition 8.1
Suppose \(T \in {\text {Sp}}(d,\mathbf {C})\) is positive and let \(\mathscr {K}_T: \mathscr {S}(\mathbf {R}^{d}) \rightarrow \mathscr {S}'(\mathbf {R}^{d})\) be the continuous linear operator having Schwartz kernel \(K_T \in \mathscr {S}'(\mathbf {R}^{2d})\) defined by (8.1). For \(s > 1/2\) the operator \(\mathscr {K}_T\) is continuous on \(\Sigma _s(\mathbf {R}^{d})\) and \(\mathscr {K}_T\) extends uniquely to a continuous operator on \(\Sigma _s'(\mathbf {R}^{d})\).
Proof
By [3, Proposition 5.10] (cf. [2]) the matrix T can be factorized as
where \(\chi _1, \chi _2 \in {\text {Sp}}(d,\mathbf {R})\), \(T_0 \in {\text {Sp}}(d,\mathbf {C})\) is positive and \((y,\eta ) = T_0 (x,\xi )\), \(x,\xi , y, \eta \in \mathbf {R}^{d}\), where for each \(1 \leqslant j \leqslant d\) we have either
with \(\tau _j \geqslant 0\), or
By [3, Proposition 5.9] we have
According to Proposition 4.4, \(\mu (\chi _j)\) is continuous on \(\Sigma _s(\mathbf {R}^{d})\), so it remains to show that \(\mathscr {K}_{T_0}\) is continuous on \(\Sigma _s(\mathbf {R}^{d})\).
The matrix \(T_0\) can be factorized as
where the matrices \(T_j\), \(1 \leqslant j \leqslant d\), commute pairwise, and have the following structure. It holds \((y,\eta ) = T_j (x,\xi )\) where \((y_k,\eta _k) = (x_k,\xi _k)\), \(k \in \{1, 2, \cdots , d\} \setminus \{ j \}\) and either (3) for some \(\tau _j \geqslant 0\), or (4) holds.
Again by [3, Proposition 5.9]
and thus it suffices to show that \(\mathscr {K}_{T_j}\) of each of the stated two types is continuous on \(\Sigma _s(\mathbf {R}^{d})\). In order to do that we first identify the operators \(\mathscr {K}_{T_j}\), cf. [2, p. 297].
Suppose \((y,\eta ) = T_j (x,\xi )\) where \((y_k,\eta _k) = (x_k,\xi _k)\), \(k \in \{1, 2, \cdots , d\} \setminus \{ j\}\).
Case (i) Suppose (3) for some \(\tau _j \geqslant 0\). Define the symmetric block matrix
where \(e_j \in \mathbf {R}^{d}\) denotes the standard basis vector with zero entries except for position j which is one. With \(F_j = \mathcal {J}Q_j\) a short calculation shows that
which reveals that \(\mathscr {K}_{T_j}\) is the solution operator to the initial value Cauchy problem (5.1) when the Hamiltonian Weyl symbol is defined by
at time \(\tau _j\), that is \(\mathscr {K}_{T_j} = e^{- \tau _j q_j^w(x,D)}\). Here \(q_j^w(x,D) = \frac{1}{2}( x_j^2 + D_j^2)\) is the Hermite operator (harmonic oscillator) acting on variable j, divided by two.
For this operator the Hermite functions are eigenfunctions, and
(cf. e.g. [5]). By the uniqueness of the solution to the Cauchy problem (5.1) we have
Using the seminorms on \(\Sigma _s(\mathbf {R}^{d})\) defined by Hilbert sequence spaces \(\ell _{s,r}^2(\mathbf {N}^{d})\), cf. (1), and the orthonormality of \(\{ h_\beta \}_{\beta \in \mathbf {N}^{d}} \subseteq L^2(\mathbf {R}^{d})\) we obtain for \(f \in \Sigma _s(\mathbf {R}^{d})\) and \(\alpha \in \mathbf {N}^{d}\)
and hence for any \(r > 0\)
This shows the continuity \(\mathscr {K}_{T_j}: \Sigma _s(\mathbf {R}^{d}) \rightarrow \Sigma _s(\mathbf {R}^{d})\).
Case (ii) Suppose (4). Define the symmetric block matrix
and \(F_j = \mathcal {J}Q_j\). Then
which implies that \(\mathscr {K}_{T_j}\) is the solution operator to the initial value Cauchy problem (5.1) when the Hamiltonian Weyl symbol is defined by
at time \(t = 1\), that is \(\mathscr {K}_{T_j} = e^{- q_j^w(x,D)}\). Since \(q_j^w(x,D) f(x) = \frac{x_j^2}{2} f(x)\) we have \(\mathscr {K}_{T_j} f (x) = e^{- \frac{1}{2} x_j^2} f(x)\) which is a Gaussian multiplicator operator with respect to variable j.
From the Lemma we obtain for any \(\alpha , \beta \in \mathbf {N}^{d}\) and any \(h > 0\) using the seminorms (2.3)
and thus
We have shown the continuity of \(\mathscr {K}_{T_j}: \Sigma _s(\mathbf {R}^{d}) \rightarrow \Sigma _s(\mathbf {R}^{d})\). \(\square \)
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Carypis, E., Wahlberg, P. Correction to: Propagation of Exponential Phase Space Singularities for Schrödinger Equations with Quadratic Hamiltonians. J Fourier Anal Appl 27, 35 (2021). https://doi.org/10.1007/s00041-021-09824-3
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DOI: https://doi.org/10.1007/s00041-021-09824-3