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Dual Fréchet Quasi-Arithmetic Means

Updated 3 December 2025
  • Dual Fréchet quasi-arithmetic means are a class of barycentric methods that generalize scalar means through convex duality and Legendre-type functions.
  • They leverage primal and dual constructions via Bregman divergences to achieve unique Fréchet characterizations in both coordinate systems.
  • This framework forms a complete lattice with invariance properties, effectively bridging convex analysis, information geometry, and classical mean theory.

Dual Fréchet quasi-arithmetic means arise at the confluence of convex analysis, information geometry, and the classical theory of means. They generalize scalar quasi-arithmetic means by leveraging convex (Legendre-type) potentials and their conjugates, leading to paired families of means related via convex duality. This duality allows every interior point of an interval, or more generally, every barycentric average in a dually flat manifold, to be realized simultaneously as a Fréchet mean in both the primal and the dual coordinate systems. The formalism encompasses the Bregman divergence setting, delivers unique characterization via minimization procedures, and extends to a lattice-like structure on the family of quasi-arithmetic means.

1. Primal and Dual Quasi-Arithmetic Means

Given an open convex set ΘX\Theta \subset X (with XX a real inner product space), and a strictly convex, differentiable Legendre-type function F:ΘRF: \Theta \rightarrow \mathbb{R}, the classical quasi-arithmetic mean is extended as follows. For points x1,,xnΘx_1,\dots,x_n \in \Theta and weight vector wΔn1w \in \Delta_{n-1} (the (n1)(n-1)-simplex), the primal quasi-arithmetic mean generated by FF is defined as

MF(x1,,xn;w)=F1(i=1nwiF(xi)).M_{\nabla F}(x_1,\ldots,x_n; w) = \nabla F^{-1}\Big(\sum_{i=1}^n w_i \nabla F(x_i) \Big).

Convex duality yields the Fenchel-Legendre conjugate F:HRF^*: H \to \mathbb{R} on H=F(Θ)H = \nabla F(\Theta), with F=(F)1\nabla F^* = (\nabla F)^{-1}. The dual quasi-arithmetic mean for dual parameters η1,,ηnH\eta_1,\ldots,\eta_n \in H is then

MF(η1,,ηn;w)=F(i=1nwiF(ηi))=F1(i=1nwiηi).M_{\nabla F^*}(\eta_1,\ldots,\eta_n; w) = \nabla F^* \Big(\sum_{i=1}^n w_i \nabla F^*(\eta_i)\Big) = \nabla F^{-1} \Big(\sum_{i=1}^n w_i \eta_i\Big).

In the scalar setting (with F(t)=f(t)dtF(t) = \int f(t) dt), these reduce, via suitable choices, to standard means such as arithmetic, geometric, and harmonic (Nielsen, 2023).

2. Fréchet (Barycentric) Characterization and Metric Structure

Both primal and dual quasi-arithmetic means admit a Fréchet mean (or barycentric) characterization via Bregman divergences:

  • Primal mean as Bregman barycenter:

MF(x1,,xn;w)=argminxΘi=1nwiBF(x:xi),M_{\nabla F}(x_1,\ldots,x_n;w) = \arg\min_{x \in \Theta} \sum_{i=1}^n w_i B_F(x:x_i),

where BF(x:y)=F(x)F(y)xy,F(y)B_F(x:y) = F(x) - F(y) - \langle x - y, \nabla F(y) \rangle is the Bregman divergence associated with FF.

  • Dual mean as dual Bregman barycenter:

MF(η1,,ηn;w)=argminηHi=1nwiBF(η:ηi).M_{\nabla F^*}(\eta_1,\ldots,\eta_n;w) = \arg\min_{\eta \in H} \sum_{i=1}^n w_i B_{F^*}(\eta : \eta_i).

In one dimension, for a strictly monotone φ\varphi, the mean M(φ)(x,y;w)=φ1(wφ(x)+(1w)φ(y))M_{(\varphi)}(x,y;w) = \varphi^{-1}(w \varphi(x) + (1-w)\varphi(y)) realizes the Fréchet mean for the metric d(φ)(x,y)=φ(x)φ(y)d_{(\varphi)}(x,y)=|\varphi(x)-\varphi(y)|. The dual mean M(φ)(x,y;w)M_{(\varphi^*)}(x,y;w) does likewise for d(φ)d_{(\varphi^*)} (Nielsen, 26 Nov 2025).

3. Duality, Uniqueness, and Lattice Structure

The duality between FF and FF^* is central; both are Legendre-type and their gradient maps are (global) inverses. A remarkable result is that for any open interval (x,y)I(x, y) \subset I, every interior point zz can be realized simultaneously as both a Fréchet mean M(φ)(x,y;w)M_{(\varphi)}(x, y; w) and a dual mean M(φ)(x,y;w)M_{(\varphi^*)}(x, y; w) for a unique w(0,1)w \in (0,1), with a consistent relationship between the primal and dual weights mediated by the Legendre transform (Nielsen, 26 Nov 2025).

Beyond the individual construction, the family of C2\mathcal{C}^2 quasi-arithmetic means (with nowhere vanishing derivative) forms a complete lattice under the pointwise ordering. Explicitly, for any finite set {f1,,fk}\{f_1,\ldots,f_k\}, there exist unique supremum and infimum means (up to affine equivalence), generated by solving the ODEs:

  • hh=supififi\frac{h''}{h'} = \sup_i \frac{f_i''}{f_i'} for the supremum,
  • hh=infififi\frac{\underline{h}''}{\underline{h}'} = \inf_i \frac{f_i''}{f_i'} for the infimum.

The dual (infimum) construction is obtained via a reflection symmetry on the generating functions (Pasteczka, 2018).

4. Invariance, Equivariance, and Information Geometry

The mean MFM_{\nabla F} exhibits natural invariance and equivariance properties with respect to affine and linear transformations of the generating function FF. For Fˉ(θ)=λF(Aθ+b)+c,θ+d\bar F(\theta) = \lambda F(A\theta + b) + \langle c, \theta\rangle + d with AGL(X)A \in \mathrm{GL}(X), b,cXb, c \in X, and λ>0\lambda > 0,

MFˉ(θ1,,θn;w)=AMF(θ1,,θn;w)+b,M_{\nabla \bar F}(\theta_1, \dots, \theta_n; w) = A M_{\nabla F}(\theta_1, \dots, \theta_n; w) + b,

while affine translations and rescalings in FF leave the mean invariant (Nielsen, 2023).

In the context of information geometry, these means and their duals naturally describe points (and barycenters) in dually flat manifolds: geodesics in primal and dual affine coordinates correspond to straight segments in θ\theta and η\eta coordinates, with the respective means characterizing geodesic midpoints and barycenters (Nielsen, 2023).

5. Riemannian and Hessian Geometric Interpretation

For one-dimensional means, the setting of Hessian geometry illuminates the underlying structure. The line element ds=φ(t)dtds = \sqrt{\varphi''(t)} dt determines a Riemannian metric g(t)=φ(t)g(t) = \varphi''(t), and the geodesic distance is expressed as ρ(t1,t2)=h(t2)h(t1)\rho(t_1, t_2) = |h(t_2) - h(t_1)| with h(t)=φ(t)h'(t) = \sqrt{\varphi''(t)}. In the hh-coordinate system, all means become arithmetic means, and duality between charts (φ\varphi and φ\varphi^*) establishes two distinct yet equivalent “scales of means,” with every interior point of an interval being a dual Fréchet mean in both coordinates (Nielsen, 26 Nov 2025).

6. Extensions and Examples

Notable instances of self-dual means occur when F=F\nabla F = \nabla F^*; e.g., F(θ)=logdetθF(\theta) = -\log \det \theta on the cone of symmetric positive definite (SPD) matrices yields the harmonic mean MF(θ1,θ2)=2(θ11+θ21)1M_{\nabla F}(\theta_1, \theta_2) = 2(\theta_1^{-1} + \theta_2^{-1})^{-1}. More generally, by selecting F(t)=f(t)dtF(t) = \int f(t) dt with a univariate ff, one recovers the full spectrum of classical scalar means (Nielsen, 2023).

In summary, dual Fréchet quasi-arithmetic means subsume an extensive class of barycentric constructions via convex duality, admit universal realization for interval interior points, and organize into a complete lattice with rich invariance, geometric, and analytical properties (Nielsen, 2023, Pasteczka, 2018, Nielsen, 26 Nov 2025).

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