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Hermite Expansion Framework

Updated 28 November 2025
  • The Hermite Expansion Framework is a unified analytic and algebraic approach that characterizes spaces of functions with nearly optimal Gaussian decay.
  • It establishes a direct link between time-frequency localization and exponential decay of Hermite-series coefficients via the Bargmann transform and Phragmén–Lindelöf principles.
  • The framework provides a scalable methodology for extending classical and generalized Pilipović spaces, offering robust tools for spectral localization and functional analysis.

The Hermite Expansion Framework provides a unified analytic, algebraic, and functional-analytic machinery for characterizing, approximating, and analyzing spaces of functions and distributions on ℝ exhibiting nearly optimal Gaussian decay in both time and frequency domains. The recent work of Neyt, Toft, and Vindas establishes a definitive expansion-theoretic characterization of such functions, directly linking their time-frequency localization to the exponential decay of Hermite-series coefficients, and placing the result within a Bargmann-transform and weighted Phragmén–Lindelöf principle context (Neyt et al., 6 May 2024).

1. Definition of Nearly Optimal Gaussian Spaces

Let 𝒮(ℝ) denote the Schwartz space and 𝒮′(ℝ) its dual, the tempered distributions. The focus is on the Fréchet space ℰ defined by the family of Banach seminorms

pλ(f):=supxRf(x)e(½λ)x2+supξRf^(ξ)e(½λ)ξ2,λ>0,p_λ(f) := \sup_{x∈ℝ} |f(x)| e^{(½−λ)x²} + \sup_{ξ∈ℝ}\,|\widehat{f}(ξ)| e^{(½−λ)ξ²}, \qquad λ > 0,

where f^(ξ)\widehat{f}(\xi) is the unitary Fourier transform. One sets

E:=λ>0{fC(R):pλ(f)<}.ℰ := \bigcap_{λ>0} \left\{ f∈C^∞(ℝ) : p_λ(f)<∞ \right\}.

This is a nuclear Fréchet space. Functions fEf∈ℰ satisfy, for every λ>0λ>0, Gaussian decay in both variables: f(x)Cλe(½λ)x2,f^(ξ)Cλe(½λ)ξ2,x,ξR.|f(x)| ≤ C_λ e^{−(½−λ)x²},\quad |\widehat{f}(ξ)| ≤ C_λ e^{−(½−λ)ξ²},\quad ∀ x,ξ∈ℝ. No nonzero ff can satisfy a stronger exponential—by Hardy’s uncertainty principle, this decay is "nearly optimal".

2. Hermite Expansion Theorem and Space Identification

The physicists’ Hermite functions {Hn(x)}n=0\{H_n(x)\}_{n=0}^∞, normalized in L2(R)L^2(ℝ) by

Hn(x)=(2nn!π)½(1)nex2dndxnex2,H_n(x) = (2ⁿ n! \sqrt{π})^{-½} (−1)^n e^{x²}\frac{d^n}{dx^n} e^{-x²},

form a complete orthonormal system. Every fL2(R)f∈L^2(ℝ) admits

f(x)=n=0cnHn(x),cn=f,HnL2.f(x) = \sum_{n=0}^∞ c_n H_n(x), \qquad c_n = \langle f, H_n\rangle_{L^2}.

Theorem A (Neyt–Toft–Vindas):

fEf∈ℰ (in fact, fL2Ef∈L^2∩ℰ) if and only if for every r>0r > 0,

cnern,n=0,1,2,|c_n| \lesssim e^{−r n},\qquad n=0,1,2,…

In this case, the Hermite expansion converges in both E\mathcal E and L2L^2.

Thus,

E=H0,½(R),\mathcal E = H_{0,\,½}(ℝ),

where H0,½(R)H_{0,\,½}(ℝ) denotes the smallest Fourier-invariant proper Pilipović space characterized by rapid-exponential Hermite coefficient decay.

Weighted Generalization

For a nondecreasing weight function ω:[0,)[0,)\omega:[0,∞)→[0,∞) satisfying subadditivity, integrability, and convexity criteria ((α), (β), (δ)), one defines the Young conjugate φ\varphi^* and scale spaces

Hω,r={fL2(R):supn0f,Hnn!½erφ(rn)<},H_{ω,r} = \left\{ f∈L^2(ℝ) :\, \sup_{n≥0} |⟨f,H_n⟩| n!^{−½} e^{r \varphi^*(r n)} < ∞ \right\},

Hω:=limrHω,r,H0,ω:=r>0Hω,r.H_{ω} := \lim_{r→∞} H_{ω,r},\qquad H_{0,ω} := \bigcap_{r>0} H_{ω,r}.

Theorem B (Refined Hermite expansion):

fL2(R)f∈L^2(ℝ) satisfies

f(x)Cex2/2+λω(x),f^(ξ)Ceξ2/2+λω(ξ)|f(x)| ≤ C e^{−x²/2 +λ ω(|x|)},\quad |\widehat{f}(ξ)| ≤ C e^{−ξ²/2 +λ ω(|ξ|)}

for some (resp. every) λ>0λ>0 if and only if

cnCn!½exp[rφ(rn)]|c_n| ≤ C' n!^{−½} \exp[ −r \varphi^*(r n) ]

for some (resp. every) r>0r>0.

Selecting particular weights ω\omega recovers the entire family of proper Pilipović spaces Hs(R)H_s(ℝ).

3. Analytic Tools: Bargmann Transform and Phragmén–Lindelöf Principles

The central analytic step is to apply the Bargmann transform: Bf(z):=π¼Rf(t)e(z2+2tzt2)/2dt,zC,\mathcal B f(z) := π^{-¼} \int_{ℝ} f(t)\,e^{−(z²+2tz−t²)/2}\,dt,\quad z∈ℂ, where BHn(z)=zn/n!\mathcal B H_n(z)=z^n/\sqrt{n!}, yielding

Bf(z)=n=0cnzn/n!.\mathcal B f(z) = \sum_{n=0}^∞ c_n\,z^n/\sqrt{n!}.

The connection between time-frequency decay and the analytic growth properties of Bf\mathcal B f on C\mathbb C is established via two pivotal lemmas:

  • Time–frequency ⇒ Bargmann: Time-frequency Gaussian bounds imply growth bounds for Bf\mathcal B f along real and imaginary axes.
  • Bargmann ⇒ Time–frequency: If the Bargmann transform is entire and satisfies certain subexponential bounds, ff and f^\widehat f inherit (weighted) Gaussian decay.

A sharp weighted Phragmén–Lindelöf principle on sectors then propagates these edge-bounds to the whole plane, yielding control on all Taylor/Hermite coefficients via the Cauchy inequality: cnCn!½exp[rφ(rn)].|c_n| \leq C n!^{-½} \exp[ -r \varphi^*(rn) ].

4. Relations to Fourier Characterizations of Pilipović Spaces

Earlier descriptions of Pilipović spaces HsH_s ($0≤s≤½$) employed mixed fractional Fourier transforms and tailored Fourier decay conditions [JFA 284 (2023) 109724]. The Hermite expansion framework:

  • Replaces the need for partial or fractional Fourier transforms with explicit coefficient bounds,
  • Transparently equates exponential Hermite-decay with time-frequency Gaussian bounds,
  • Produces optimal exponential constants via the Phragmén–Lindelöf argument,
  • Extends beyond classical power-type weights to any subadditive–convex ω\omega.

In the extremal case s=½s=½, the largest proper Pilipović space matches E\mathcal E, the "extremal" Gaussian space.

The table below summarizes the relationship:

Space Time-Frequency Bound Hermite Coefficient Bound
E\mathcal E (H0,1/2H_{0,1/2}) e(12λ)x2e^{-(\frac12-\lambda)x^2} in xx and ξ\xi cnern|c_n| \lesssim e^{-r n}
H0,ωH_{0,\omega} ex2/2+λω(x)e^{-x^2/2+\lambda\omega(x)} cnn!½exp(rφ(rn))|c_n| \lesssim n!^{-½}\exp(-r\varphi^*(rn))

5. Structural and Functional Analytic Implications

The nuclear Fréchet structure of E\mathcal E derives from the system of seminorms indexed by λ>0\lambda>0, guaranteeing excellent topological and duality properties. The Hermite expansion provides a natural analytic basis, with temporal-frequency behavior and expansion coefficients tightly coupled.

Key consequences include:

  • Sharpness: The equivalence between nearly-optimal decay and rapid-exponential Hermite coefficient falloff is both necessary and sufficient—the bounds are tight.
  • Scalability: The method accommodates sub-Gaussian and broader weights ω\omega.
  • Completeness of Framework: No functions with stronger simultaneous decay in xx and ξ\xi exist by Hardy's theorem.

6. Connections and Extensions

The Hermite expansion framework established by (Neyt et al., 6 May 2024) positions the Hermite basis as the canonical organizing principle for spaces with nearly-optimal time-frequency localization. The methods—especially via the Bargmann transform and analytic function growth principles—ensure both theoretical and practical robustness, subsuming and refining preceding Fourier-based analysis for Pilipović spaces.

This framework is foundational for further investigations into function spaces characterized by ultrarapid decay, spectral and phase-space localization, and their associated dual spaces of generalized functions and distributions.

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