Horizontal Fourier transform of the polyanalytic Fock kernel

Let $n,m\ge 1$ and $\alpha>0$. We denote by $\mathcal{F}_{\alpha,m}$ the $m$-analytic Bargmann--Segal--Fock space, i.e., the Hilbert space of all $m$-analytic functions defined on $\mathbb{C}^n$ and square integrables with respect to the Gaussian weight $\exp(-\alpha |z|^2)$. We study the von Neu...

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Hauptverfasser: Lee-Guzmán, Erick, Maximenko, Egor A, Ramos-Vazquez, Gerardo, Sánchez-Nungaray, Armando
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Sprache:eng
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Zusammenfassung:Let $n,m\ge 1$ and $\alpha>0$. We denote by $\mathcal{F}_{\alpha,m}$ the $m$-analytic Bargmann--Segal--Fock space, i.e., the Hilbert space of all $m$-analytic functions defined on $\mathbb{C}^n$ and square integrables with respect to the Gaussian weight $\exp(-\alpha |z|^2)$. We study the von Neumann algebra $\mathcal{A}$ of bounded linear operators acting in $\mathcal{F}_{\alpha,m}$ and commuting with all ``horizontal'' Weyl translations, i.e., Weyl unitary operators associated to the elements of $\mathbb{R}^n$. The reproducing kernel of $\mathcal{F}_{1,m}$ was computed by Youssfi [Polyanalytic reproducing kernels in $\mathbb{C}^n$, Complex Anal. Synerg., 2021, 7, 28]. Multiplying the elements of $\mathcal{F}_{\alpha,m}$ by an appropriate weight, we transform this space into another reproducing kernel Hilbert space whose kernel $K$ is invariant under horizontal translations. Using the well-known Fourier connection between Laguerre and Hermite functions, we compute the Fourier transform of $K$ in the ``horizontal direction'' and decompose it into the sum of $d$ products of Hermite functions, with $d=\binom{n+m-1}{n}$. Finally, applying the scheme proposed by Herrera-Ya\~{n}ez, Maximenko, Ramos-Vazquez [Translation-invariant operators in reproducing kernel Hilbert spaces, Integr. Equ. Oper. Theory, 2022, 94, 31], we show that $\mathcal{F}_{\alpha,m}$ is isometrically isomorphic to the space of vector-functions $L^2(\mathbb{R}^n)^d$, and $\mathcal{A}$ is isometrically isomorphic to the algebra of matrix-functions $L^\infty(\mathbb{R}^n)^{d\times d}$.
DOI:10.48550/arxiv.2309.03410