arXiv research

Non-invariant complex structures on Lie groups are not biholomorphic to invariant ones.

The paper explores invariant vs non-invariant complex structures on Lie groups.

The article classifies six-dimensional solvmanifolds with non-invariant trivializing sections of their canonical bundle.

We extend our method of partner symmetries to the hyperbolic complex Monge-Ampère equation and the second heavenly equation of Plebañski. We show the existence of partner symmetries and derive the relations between them for both equations. For certain simple choices of partner symmetries the resulting differential cons…

This work extends PAC-Bayesian learning guarantees to non-compact symmetries and non-invariant data.

Left-invariant Cotton solitons on homogeneous manifolds are determined. Moreover, algebraic Cotton solitons are studied providing examples of non-invariant Cotton solitons, both in the Riemannian and Lorentzian homogeneous settings.

Bayesian network learns data invariances without augmentation.

We present proofs of basic results, including those developed by Harold Bell, for the plane fixed point problem: does every map of a non-separating plane continuum have a fixed point? Some of these results had been announced much earlier by Bell but without accessible proofs. We define the concept of the variation of a…

The Wong-Rosay theorem characterizes the strongly pseudoconvex domains of $\mathbb{C}^n$ by their automorphism groups. It has a lot of generalizations to other kinds of domains (for example, the weakly pseudoconvex domains). However, most of them are for domains of $\mathbb{C}^n$. In this note, we generalize the Wong-R…

We review some previous results about the Calabi-Yau equation on the Kodaira-Thurston manifold equipped with an invariant almost-Kaehler structure and assuming the volume form invariant by the action of a torus. In particular, we observe that under some restrictions the problem is reduced to a Monge-Ampère equation by …

Study on Kodaira dimension of SU(m)-structures on almost complex manifolds.

We study relations between vakonomically and nonholonomically constrained Lagrangian dynamics for the same set of linear constraints. The basic idea is to compare both situations at the level of variational principles, not equations of motion as has been done so far. The method seems to be quite powerful and effective.…

For generic torus-invariant metrics, eigenspaces are 2D and nodal sets are connected hypersurfaces.

Bayesian optimization gains efficiency by leveraging symmetries through a modified max kernel.

Prove long-time existence of pluriclosed flow on certain fibrations

We extend the Mason-Newman Lax pair for the elliptic complex Monge-Ampère equation so that this equation itself emerges as an algebraic consequence. We regard the function in the extended Lax equations as a complex potential. We identify the real and imaginary parts of the potential, which we call partner symmetries, w…

It was shown by Samelson and Wang that each compact Lie group K of even dimension admits left-invariant complex structures. When K has odd dimension it admits a left-invariant CR-structure of maximal dimension. This has been proved recently by Charbonnel and Khalgui who have also given a complete algebraic description …

We prove the transversality result necessary for defining local Morse chain complexes with finite cyclic group symmetry. Our arguments use special regularized distance functions constructed using classical covering lemmas, and an inductive perturbation process indexed by the strata of the isotropy set. A global existen…

Researchers compute the ν-invariant for specific G2-structures on nilmanifolds.

This paper studies the generalization error of invariant classifiers. In particular, we consider the common scenario where the classification task is invariant to certain transformations of the input, and that the classifier is constructed (or learned) to be invariant to these transformations. Our approach relies on fa…

Study complex solvmanifolds with trivial canonical bundle and hypercomplex geometry.

Group-invariant neural networks improve approximation accuracy for symmetric functions.

We construct metrics of positive scalar curvature on manifolds with circle actions. One of our main results is that there exist $S^1$-invariant metrics of positive scalar curvature on every $S^1$-manifold which has a fixed point component of codimension 2. As a consequence we can prove that there are non-invariant metr…

Monge SAM improves deep learning by making sharpness-aware minimization invariant to reparametrizations.

Study suggests variable selection may not significantly reduce power in multivariate tests.

Proposes an alternative invariance penalty to address domain generalization issues.

New framework detects directional influence in multivariate time series.

Study shows how to reduce data needed for learning under geometric constraints.

Reduces path integrals for interacting systems using dependent coordinates.

Extends optimal regularity and compactness to vector bundles over non-Riemannian manifolds.

Regularising for invariance to data augmentation improves machine learning models.

In this paper, we study the analytic continuation to complex time of the Hamiltonian flow of certain $G\times T$-invariant functions on the cotangent bundle of a compact connected Lie group $G$ with maximal torus $T$. Namely, we will take the Hamiltonian flows of one $G\times G$-invariant function, $h$, and one $G\time…

Study on the parity of fold map singular points, showing non-invariance for odd-dimensional manifolds.

New geometric interpretation of Amari-Cencov α-connections on probability densities.

New metrics for information geometry and machine learning from Lie groups.

Consider an oriented four-dimensional Lorentzian manifold $(\widetilde{M}^{3, 1}, \widetilde{g})$ and an oriented seven-dimensional Riemannian manifold $(M^{7}, g)$. We describe a class of decomposable eleven-dimensional supergravity backgrounds on the product manifold $({\mathcal{M}}^{10, 1}=\widetilde{M}^{3,1} \times…