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Fueter-Sce Theorem in Clifford Analysis

Updated 16 January 2026
  • Fueter-Sce Theorem is a fundamental result in Clifford analysis that converts intrinsic holomorphic functions into axially monogenic functions via differential operators.
  • It utilizes the Fueter mapping, employing Laplacian operators and Fourier multipliers, to establish structural links between analytic, harmonic, and monogenic function spaces.
  • Generalizations such as CK extension and Vekua systems broaden its applications in boundary value problems and mathematical physics while ensuring surjectivity on axially symmetric domains.

The Fueter-Sce Theorem is a cornerstone in Clifford analysis and higher-dimensional function theory, giving a systematic procedure for generating axially monogenic functions in Rn+1\mathbb{R}^{n+1} from intrinsic holomorphic functions of one complex variable. Its generalizations link analytic, harmonic, and monogenic categories and establish deep structural correspondences between function spaces via explicit differential and integral transforms.

1. Algebraic Preliminaries: Clifford Algebras and Dirac Operators

Let e1,,ene_1,\ldots,e_n denote generators of the real Clifford algebra Cl0,n\mathrm{Cl}_{0,n}, satisfying ei2=1e_i^2 = -1 and eiej+ejei=0e_ie_j + e_je_i = 0 (iji \neq j). A paravector is defined as x=x0+xx = x_0 + \vec{x}, with x=i=1nxiei\vec{x} = \sum_{i=1}^n x_i e_i, and x2=x02+x2|x|^2 = x_0^2 + |\vec{x}|^2.

The generalized Cauchy–Riemann (Dirac) operator in Rn+1\mathbb{R}^{n+1} is

D=x0+i=1neixiD = \partial_{x_0} + \sum_{i=1}^n e_i\,\partial_{x_i}

A function f:ΩRn+1Cl0,nf: \Omega \subset \mathbb{R}^{n+1} \to \mathrm{Cl}_{0,n} is (left-)monogenic iff Df0Df \equiv 0 on Ω\Omega.

Axially symmetric domains Ω\Omega are invariant under rotations of the x\vec{x}-variables. A function ff is axially monogenic if it is monogenic and admits the representation

f(x)=A(x0,r)+xrB(x0,r),r=xf(x) = A(x_0,r) + \frac{\vec{x}}{r}\,B(x_0,r),\quad r = |\vec{x}|

with AA, BB scalar functions.

2. The Fueter Mapping: Definitions and Differential Operators

Given a holomorphic intrinsic function f0:OCf_0: O\to \mathbb{C} on an intrinsic domain OCO\subset \mathbb{C}, where f0(zˉ)=f0(z)f_0(\bar{z}) = \overline{f_0(z)}, one forms the slice extension

f0(x0+x)=u(x0,r)+xrv(x0,r)\vec{f}_0(x_0 + \vec{x}) = u(x_0, r) + \frac{\vec{x}}{r} v(x_0, r)

from f0(s+it)=u(s,t)+iv(s,t)f_0(s+it) = u(s, t) + iv(s, t). The classical Fueter mapping for n1n \geq 1 is

β(f0)(x)=(Δ)n12f0(x)\beta(f_0)(x) = (-\Delta)^{\frac{n-1}{2}}\,\vec{f}_0(x)

where (Δ)n12(-\Delta)^{\frac{n-1}{2}} is a pointwise differential operator for odd nn and the Fourier multiplier with symbol ξn1|\xi|^{n-1} for even nn (Dong et al., 2018).

This construction generates axially monogenic functions, with β(f0)\beta(f_0) characterized by the axial form.

3. Structural Theorems: Axial Form and Surjectivity

Axial Form Theorem

Statement: For n2n\geq 2 even and intrinsic holomorphic f0f_0,

β(f0)(x)=A(x0,r)+xrB(x0,r)\beta(f_0)(x) = A(x_0, r) + \frac{\vec{x}}{r} B(x_0, r)

with A,BA, B scalar functions; thus, β(f0)\beta(f_0) is axially monogenic and of axial type (Dong et al., 2018).

Proof proceeds via computation on monomials:

  • For 0ln20 \leq l \leq n-2, (Δ)(n1)/2(xl)0(−\Delta)^{(n−1)/2}(x^l) \equiv 0
  • For ln1l \geq n-1, (Δ)(n1)/2(xl)(−\Delta)^{(n−1)/2}(x^l) produces functions axially dependent only on (x0,r)(x_0, r)

Surjectivity Theorem

For any axially symmetric domain Ω\Omega and any axially monogenic f(x)=A(x0,r)+(x/r)B(x0,r)f(x) = A(x_0,r) + (\vec{x}/r) B(x_0,r), there exists a holomorphic intrinsic f0f_0 such that β(f0)=f\beta(f_0) = f on Ω\Omega. The construction uses Cauchy-type integrals along axial slices with explicit holomorphic kernels (Dong et al., 2018).

4. Action on Monomials and Kelvin Inversion

For monomials f0(l)(z)=zlf_0^{(l)}(z) = z^l, the mapping τ\tau defined via the Fourier transform and Kelvin inversion coincides with the Fueter mapping:

τ(zl)(x)β(zl)(x)=(Δ)n12(xl)\tau(z^l)(x) \equiv \beta(z^l)(x) = (-\Delta)^{\frac{n-1}{2}}(x^l)

For negative ll, the Fourier multiplier suffices; for large positive ll, Kelvin inversion is required. This is captured by the Monomial Theorem, demonstrating that on Laurent series, the extended τ\tau matches the Fueter mapping via differential or Fourier multiplier techniques (Dong et al., 2018).

5. Connection to Generalized CK Extension and Plane Wave Decomposition

There is an explicit link between the Fueter mapping (and its Sce extension) and the generalized Cauchy–Kovalevskaya (CK) extension, which characterizes axially monogenic functions in terms of restrictions to the real line (Martino et al., 2023, Martino et al., 2022).

On intrinsic holomorphic data f0f_0, the correspondence

Fueter(f0)=cnGCK[f0(n1)]\mathrm{Fueter}(f_0) = c_n\,\mathrm{GCK}[f_0^{(n-1)}]

holds for an explicit normalization constant cnc_n.

The harmonic CK extension produces harmonic and monogenic bases via Bessel series and sphere-integrals; polynomials such as Clifford-Appell polynomials serve as building blocks for axially monogenic expansions (Martino et al., 21 Jan 2025).

Plane-wave and dual Radon transforms allow integral representations; CK extension and Fueter mapping fit into commutative diagrams linking function spaces.

6. Vekua Systems, Special Functions, and Explicit Solution Families

Axially monogenic functions correspond to solutions of Vekua-type systems in (x0,r)(x_0, r). For two-sided monogenic functions, the reduction yields systems of the form

{x0A1rrA2=c1A2 x0A2+1rA1=c2A3 x0A2rrA3=c3A3 x0A3+1rA2=0\begin{cases} \partial_{x_0}A_1 - r\partial_r A_2 = c_1 A_2 \ \partial_{x_0}A_2 + \frac{1}{r}A_1 = c_2 A_3 \ \partial_{x_0}A_2 - r\partial_r A_3 = c_3 A_3 \ \partial_{x_0}A_3 + \frac{1}{r}A_2 = 0 \end{cases}

which admit separable solutions in terms of Bessel functions Jν(r)J_\nu(r) and Yν(r)Y_\nu(r), demanding regularity at r=0r=0 and boundary conditions for physical applications (Peña et al., 2010).

Cauchy–Kovalevskaya, plane-wave integration (via Funk–Hecke formula), and primitivation methods produce all polynomial two-sided axial monogenics and harmonics (Peña et al., 2016).

7. Functional Calculus, Boundary Problems, and Generalizations

Fueter's theorem admits generalizations to polyanalytic setting (order-mm), leading to new functional calculi on the SS-spectrum (Martino et al., 2022). Integral formulas via Fueter kernels (e.g., FL(s,q)F_L(s,q)), connections to slice regularity, and polyanalytic modules expand the function theory.

Axially symmetric monogenic functions are central in boundary value problems; Riemann–Hilbert problems for axially monogenic data in Clifford modules are reduced to complex analytic RHPs via the Vekua system (Huang et al., 2022).

Further, extensions to biaxial monogenicity—functions invariant under SO(p)×SO(q)SO(p)\times SO(q)—are constructed by composing Fueter’s map and Clifford-Funk–Hecke radialization, yielding explicit solutions in higher product group invariant settings (Peña et al., 2014).

Table: Fundamental Operators and Correspondence

Name Operator / Construction Correspondence/Nature
Dirac D=x0+eixiD = \partial_{x_0} + \sum e_i\partial_{x_i} Cauchy–Riemann analog
Fueter Mapping (Δ)n12(-\Delta)^{\frac{n-1}{2}} or Fourier multipliers Intrinsic holomorphic \to axially monogenic
Slice Extension Series expansion on paravectors C\mathbb{C}-analytic \to Rn+1\mathbb{R}^{n+1} slice monogenic
CK Extension Iterated directional derivatives, Bessel integrals Real analytic data \to axially monogenic
Kelvin Inversion II acting on Fourier image Relates negative and positive monomials
Funk–Hecke Radial-integration over spheres Enforces axial/biaxial symmetry

Impact and Scope

The Fueter-Sce theorem, its CK and Fourier analytic generalizations, and associated operator factorizations establish a comprehensive framework for understanding and building monogenic function spaces in arbitrary dimension, directly generalizing holomorphic function theory. Surjectivity results guarantee that all axially monogenic functions arise via Fueter mapping, and explicit formulas for polynomial and functional bases enable algebraic, analytic, and spectral analysis, with wide applications in boundary value problems, harmonic analysis, and mathematical physics (Dong et al., 2018, Martino et al., 2023, Peña et al., 2010, Martino et al., 2022, Martino et al., 21 Jan 2025).

Subsequent developments—including polyanalytic functional calculi (Martino et al., 2022), Riemann–Hilbert problems (Huang et al., 2022), and further radialization constructs (Peña et al., 2014)—continue to expand the reach and depth of the Fueter mapping in modern analysis and geometry.

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