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q-Deformed Segal–Bargmann Transform

Updated 22 June 2026
  • q-Deformed Segal–Bargmann transform is a generalization of the classical transform, replacing canonical functions with q-analogs and establishing new Hilbert spaces.
  • It constructs q-analytic functions using recursive definitions, q-factorials, and q-Hermite polynomials to develop reproducible kernel Hilbert space structures.
  • The framework bridges probabilistic, operator-algebraic, and function-theoretic methods, revealing deep connections to quantum groups and noncommutative probability.

The qq-deformed Segal–Bargmann transform generalizes the classical Segal–Bargmann (or Bargmann) transform, a central integral transform linking real L2L^2-spaces with spaces of analytic functions, by introducing deformation parameters via qq-calculi. This extension gives rise to a spectrum of new Hilbert spaces of qq-analytic or qq-polyanalytic functions, qq-analogs of Hermite and related polynomials, novel qq-commutation relations, and kernel structures that recover the classical theory as q1q\rightarrow1. This qq-deformation framework provides a bridge between probabilistic, operator-algebraic, and function-theoretic approaches, with deep connections to noncommutative probability, quantum groups, and time–frequency analysis (Altavilla et al., 12 Nov 2025, Cébron et al., 2017, Arjika et al., 2017, Moize et al., 2020).

1. Construction of the qq-Deformed Segal–Bargmann Transform

Given L2L^20, several approaches construct L2L^21-deformations of the classical Segal–Bargmann transform, all of which replace canonical objects—such as polynomials, measures, and kernels—with their L2L^22-analogs.

L2L^23-Fock Space and L2L^24-Analyticity: A geometric approach defines recursively the L2L^25-analytic monomials L2L^26 via

  • L2L^27,
  • L2L^28 for L2L^29 where qq0, and corresponding qq1-factorials qq2 as qq3 with qq4. The qq5-Fock space is

qq6

with inner product qq7 (Altavilla et al., 12 Nov 2025). The orthonormal basis is qq8.

Source Hilbert Space: For the real variable, qq9 uses a qq0-exponential weight and a Jackson qq1-integral,

qq2

where qq3.

The qq4-Bargmann Transform: The transform qq5 is

qq6

where qq7 and the integral kernel is qq8 with qq9-Hermite functions qq0 (Altavilla et al., 12 Nov 2025, Moize et al., 2020).

2. Reproducing Kernel Hilbert Space Structure and qq1-Polynomials

Reproducing Kernel: The qq2-Fock space is an RKHS with the kernel

qq3

qq4 as qq5 (Altavilla et al., 12 Nov 2025, Moize et al., 2020).

qq6-Hermite Polynomials: In all frameworks, qq7-Hermite polynomials qq8 or their variants provide an ON basis for the real model; they are defined by

qq9

with orthogonality determined by the associated qq0-measure (Altavilla et al., 12 Nov 2025, Cébron et al., 2017).

Polyanalytic Extensions: The qq1-deformed polyanalytic Segal–Bargmann transform qq2 utilizes qq3-analogs of higher Landau-level spaces, continuous qq4-Hermite and Wall (little qq5-Laguerre) polynomials, and constructs the image as spaces of qq6-polyanalytic functions supported on quantum phase-space domains qq7 (Arjika et al., 2017).

3. Operator-Theoretic and Algebraic Properties

qq8-Position and qq9-Momentum Operators: The qq0-Fock model admits qq1-position qq2 and qq3-momentum qq4 operators defined by

qq5

and oscillator-like operators qq6 (Altavilla et al., 12 Nov 2025). Commutation relations satisfy

qq7

which deforms the canonical commutator and recovers it as qq8.

Unitarity: The transform qq9 is a unitary isomorphism carrying the q1q\rightarrow10-Hermite ON basis to the q1q\rightarrow11-Fock ON basis (Altavilla et al., 12 Nov 2025, Moize et al., 2020). Isometry is maintained in all polyanalytic variants (Arjika et al., 2017).

q1q\rightarrow12-Commutators: More generally, q1q\rightarrow13 acts as the q1q\rightarrow14-deformed commutator throughout these constructions.

4. Probabilistic and Random Matrix Approximations

q1q\rightarrow15-Gaussian Variables: In noncommutative probability, q1q\rightarrow16-Gaussian variables implement the q1q\rightarrow17-commutation relation

q1q\rightarrow18

The field operators generate Fock spaces whose q1q\rightarrow19-structures support the qq0-Segal–Bargmann transform (Cébron et al., 2017). Mixed qq1-Gaussian constructions, using correlation matrices qq2, interpolate between classical and free cases.

Random Matrix Limits: The qq3-deformed SB transform can be obtained as a large qq4 limit of classical matrix-valued transforms (Sniady model): qq5 establishing probabilistic convergence from Gaussian ensembles and revealing connections to random matrix theory and the central limit theorems for mixed independence (Cébron et al., 2017).

5. Kernel Formulas, Domains, and Limiting Cases

A summary of central structural elements is provided in the table:

Element qq6-Deformed Formula Classical Limit (qq7)
qq8-factorial qq9 qq0
qq1-analytic basis qq2 (as above) qq3
Reprod. kernel qq4 qq5
Real measure qq6 qq7
Transform kernel qq8 qq9

The L2L^200-deformed transforms generalize to two-parameter L2L^201 and multidimensional forms, as well as to L2L^202-deformed polyanalytic transforms and their phase-space regions L2L^203 (Arjika et al., 2017).

6. Coherent State and Operator Realizations

Arik–Coon Oscillator: In the analytic case, the underlying algebra is the Arik–Coon oscillator: L2L^204 for L2L^205, with L2L^206-coherent states L2L^207 and overlap kernel L2L^208 (Moize et al., 2020).

Resolution of the Identity: The L2L^209-deformed coherent states and transforms satisfy

L2L^210

establishing invertibility and completeness in the L2L^211-polyanalytic setting (Arjika et al., 2017).

7. Limiting Behavior and Applications

In the limit L2L^212:

  • All deformed objects recover their classical counterparts: L2L^213, L2L^214, L2L^215, and the L2L^216-Segal–Bargmann transforms reduce to the classical isometries between L2L^217 and analytic (or polyanalytic) Fock spaces (Altavilla et al., 12 Nov 2025, Moize et al., 2020).
  • For L2L^218, the theory interpolates towards free (Voiculescu-type) probability and kernels associated with noncommutative, free independence (Cébron et al., 2017).

Applications include the explicit construction of L2L^219-deformed coherent states, L2L^220-Landau levels, quantum phase-space models, and L2L^221-deformed random point processes; they are foundational in advanced time–frequency analysis and emerging noncommutative function theory (Arjika et al., 2017, Moize et al., 2020).


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