Classifies toric dually flat manifolds into complex space forms.
arXiv research
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Kahler toric manifolds linked to dually flat spaces via affine isometry.
The paper studies a generalized Pythagorean theorem on dually flat spaces via toric geometry.
Geodesic descent optimizes likelihood in dually flat spaces.
New divergences introduced in dually flat spaces with properties.
In this paper, we prove that a strongly convex complex Finsler metric on a domain is projectively flat (resp. dually flat) if and only if comes from a strongly convex complex Minkowski metric.
In this paper, we consider Randers change of some special metrics. First we find the fundamental metric tensor and Cartan tensor of these Randers changed metrics. Next, we establish a general formula for inverse of fundamental metric tensors of these metrics. Finally, we find the necessary and su…
A new geometric structure for singular models is introduced.
This paper studies geometrical structure of the manifold of escort probability distributions and shows its new applicability to information science. In order to realize escort probabilities we use a conformal transformation that flattens so-called alpha-geometry of the space of discrete probability distributions, which…
In this paper, I will show how to use -deformations to deal with dual flatness of -metrics. It is a natural continuation of the research on dually flat Randers metrics(see arxiv:1209.1150). -deformations is a new method in Riemann-Finsler geometry, it is introduced by the author(see arxiv:1209.0845).
In this work, the dual flatness, which is connected with Statistics and Information geometry, of general -metrics (a new class of Finsler metrics) is studied. A nice characterization for such metrics to be dually flat under some suitable conditions is provided and all the solutions are completely determined. By …
Investigate AR-Finsler metrics for local dual flatness and projective flatness.
Study invariant connections on multivariate Gaussian distributions.
Introduces Legendre bundle for dually flat manifolds and quantum field theories.
The class of spherically symmetric Finsler metrics is studied and locally dually flat and projectively flat spherically symmetric Finsler metrics is classified.
This paper studies the geometry of immersions into statistical manifolds. A necessary and sufficient condition is obtained for statistical manifold structures to be dual to each other for a non-degenerate equiaffine immersion. Then we obtain conditions for realizing an n-dimensional statistical manifold in an (n+1)-dim…
In this paper, we find a condition under which a Finsler space with Kropina change of mth-root metric is projectively related to a mth-root metric and also we find a condition under which this Kropina transformed mth-root metric is locally dually flat. Moreover we find the condition for its Projective flatness.
Exponential families and mixture families are parametric probability models that can be geometrically studied as smooth statistical manifolds with respect to any statistical divergence like the Kullback-Leibler (KL) divergence or the Hellinger divergence. When equipping a statistical manifold with the KL divergence, th…
Moment polytope of toric exponential families is a projection of a simplex.
New insights into Markov chain geometry via positive transition measures.
Introduces new info-geometric structure for dynamics on graphs and hypergraphs.
Study information geometry of warped product spaces, finding special connections.
In this paper, we prove that every m-th root metric with isotropic mean Berwald curvature reduces to a weakly Berwald metric. Then we show that an m-th root metric with isotropic mean Landsberg curvature is a weakly Landsberg metric. We find necessary and sufficient condition under which conformal -change of an m-th…
In this paper, I will show how to use beta-deformations to deal with dual flatness of Randers metrics. beta-deformations is a new method in Riemann-Finsler geometry, it is introduced by the author(see arxiv:1209.0845). Later on I will provide more applications of the new kind of deformations in Finsler geometry.
In this paper, we characterize locally dually flat and Antonelli -th root Finsler metrics. Then, we show that every -th root Finsler metric of isotropic mean Berwald curvature reduces to a weakly Berwald metric.
Geodesic sprays on Finsler manifolds studied with covariant coefficients.
In this paper, we consider Kropina change of -th root Finsler metrics. We find necessary and sufficient condition under which the Kropina change of an -th root Finsler metric be locally dually flat. Then we prove that the Kropina change of an -th root Finsler metric is locally projectively flat if and only if …
Study of pseudometric properties on domains in Nagano spaces.
Study on spherical Finsler metrics with isotropic curvature rigidity.
In Riemannian geometry geodesics are integral curves of the Riemannian distance gradient. We extend this classical result to the framework of Information Geometry. In particular, we prove that the rays of level-sets defined by a pseudo-distance are generated by the sum of two tangent vectors. By relying on these vector…
Paper studies statistical manifolds with logarithmic divergences.
In this paper, we show that the projection of a dualistic structure defined on a twisted product manifold induces dualistic structures on the base and the fiber manifolds, and conversely. Then under some conditions on the Ricci curvature and the Weyl conformal tensor we characterize dually flat structures on twisted pr…
The dual variety X* for a smooth n-dimensional variety X of the projective space P^N is the set of tangent hyperplanes to X. In the general case, the variety X* is a hypersurface in the dual space (P^N)*. If dim X* < N - 1, then the variety X is called dually degenerate. The authors refine these definitions for a varie…
A new statistical model uses Orlicz-Sobolev spaces with Gaussian weight.
In this paper, we characterize locally dually flat generalized m-th root Finsler metrics. Then we find a condition under which a generalized m-th root metric is projectively related to a m-th root metric. Finally, we prove that if a generalized m-th root metric is conformal to a m-th root metric, then both of them redu…
A function is exponentially concave if its exponential is concave. We consider exponentially concave functions on the unit simplex. In a previous paper we showed that gradient maps of exponentially concave functions provide solutions to a Monge-Kantorovich optimal transport problem and give a better gradient approximat…
This paper studies moduli spaces of statistical structures on Lie groups.
Geometrically decomposes Kähler functions on toric manifolds.
We develop a family of infinite-dimensional (non-parametric) manifolds of probability measures. The latter are defined on underlying Banach spaces, and have densities of class with respect to appropriate reference measures. The case , in which the manifolds are modelled on Fréchet spaces, is included.…
The paper extends gradient flow and relaxation studies to non-flat Riemannian manifolds.
On the product of two Finsler manifolds M1 M2, we consider the twisted metric F which is construct by using Finsler metrics F1 and F2 on the manifolds M1 and M2, respectively. We introduce horizontal and vertical distributions on twisted product Finsler manifold and study Creducible and semi-C-reducible properties of t…
Paper finds local normal forms for wavefronts in flat coordinates.
In this paper, we consider doubly warped product (DWP) Finsler manifolds with some non-Riemannian curvature properties. First, we study Berwald and isotropic mean Berwald DWP-Finsler manifolds. Then we prove that every proper Douglas DWP-Finsler manifold is Riemannian. We show that a proper DWP-manifold is Landsbergian…
The Yukawa term in statistical mechanics quantifies information generation.
New geometric perspective for optimal learning on hexagonal structures.
Introduces a new geometric structure for statistical manifolds with degenerate metrics.
Formulates mechanics for probability distributions on statistical manifold.
The report analyzes Legendre decomposition for tensor data.