Curious structure of special orthogonal, unitary, and symplectic groups as products of Grassmannians discovered.
arXiv research
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Integrable geodesics found on special orthogonal group.
Special orthogonal representations from octonions have geometric properties linked to binary cubics.
Paper derives local Plücker formulas for special orthogonal groups.
An algorithm for efficient computation of equivariant neural network layers.
Random convolutional networks can be fooled with adversarial examples.
We investigate the connections between the differential-geometric properties of the exponential map from the space of real skew symmetric matrices onto the group of real special orthogonal matrices and the manifold of real orthogonal matrices equipped with the Riemannian structure induced by the Frobenius metric.
TANGOS improves neural network performance on tabular data by encouraging neuron specialization.
The twistor space of the sphere S^{2n} is an isotropic Grassmannian that fibers over S^{2n}. An orthogonal complex structure on a subdomain of S^{2n} (a complex structure compatible with the round metric) determines a section of this fibration with holomorphic image. In this paper, we use this correspondence to prove t…
A new method for efficiently computing derivatives of skew-symmetric matrix exponentials.
We study the problem of approximating orthogonal matrices so that their application is numerically fast and yet accurate. We find an approximation by solving an optimization problem over a set of structured matrices, that we call extended orthogonal Givens transformations, including Givens rotations as a special case. …
Characterizes the local diffeomorphism structure of the exponential in the set of skew-symmetric matrices.
The purpose of this note is to study the complex structures orthogonal to a given Riemannian metric. For another paper on this topic, we highly recommend the work of Salamon. His work describes in great detail the role that curvature plays in this question. We instead focus on torsion, which lends itself to somewhat di…
We introduce a novel approach to perform first-order optimization with orthogonal and unitary constraints. This approach is based on a parametrization stemming from Lie group theory through the exponential map. The parametrization transforms the constrained optimization problem into an unconstrained one over a Euclidea…
New findings on Kähler manifolds restrict orthogonal coordinates existence.
New algorithm speeds up group equivariant neural networks computations.
In the multiple linear regression setting, we propose a general framework, termed weighted orthogonal components regression (WOCR), which encompasses many known methods as special cases, including ridge regression and principal components regression. WOCR makes use of the monotonicity inherent in orthogonal components …
Investigates harmonic self-maps' stability on cohomogeneity one manifolds.
In this paper we study both analytic and numerical solutions of option pricing equations using systems of orthogonal polynomials. Using a Galerkin-based method, we solve the parabolic partial diferential equation for the Black-Scholes model using Hermite polynomials and for the Heston model using Hermite and Laguerre p…
We prove ultradifferentiable Chevelley restriction theorems for a wide range of ultradifferentiable classes. As a special case we find that isotropic functions, i.e., functions defined on the vector space of real symmetric matrices invariant under the action of the special orthogonal group by conjugation, possess some …
We construct natural Green forms for special cycles in orthogonal and unitary Shimura varieties, in all codimensions, and, for compact Shimura varieties of type O(p,2) and U(p,1), we show that the resulting local archimedean height pairings are related to special values of derivatives of Siegel Eisentein series. A conj…
A complete system of differential invariants for equivalence of curves in the -dimensional pseudo-euclidean space with respect to the action of each of the groups , , , and , where , or , and respectively, …
Characterizes group-equivariant neural networks for three groups.
OPAA estimates probability densities using functional analysis.
Unified framework for multi-view learning with orthogonal projections.
In this paper we derive a series expansion for the price of a continuously sampled arithmetic Asian option in the Black-Scholes setting. The expansion is based on polynomials that are orthogonal with respect to the log-normal distribution. All terms in the series are fully explicit and no numerical integration nor any …
Paper refines Alesker-Bernig-Schuster theorem, proving Hodge-Riemann relations for Euclidean balls.
The paper creates a deformation retraction for homeomorphisms of the projective plane.
We prove that a foliation of codimension on a -dimen\-sio\-nal pseudo-Riemannian manifold is pseudo-Riemannian if and only if any geodesic that is orthogonal at one point to a leaf is orthogonal to every leaf it intersects. We show that on the graph of a pseudo-Riemannian foliation there exis…
The paper analyzes and improves a deep learning optimization technique using matrix gradient orthogonality.
We show that special cycles generate a large part of the cohomology of locally symmetric spaces associated to orthogonal groups. We prove in particular that classes of totally geodesic submanifolds generate the cohomology groups of degree of compact congruence -dimensional hyperbolic manifolds "of simple type" a…
TGCCA analyzes higher-order tensors using orthogonal rank-R CP decomposition.
For positive integers and let be the projective indefinite special-orthogonal group of signature . We study counting problems in the Riemannian symmetric space of and in the pseudo-Riemannian hyperbolic space . Let be a totally geodesic …
Formula derived for Laplace-Beltrami on Stiefel manifold.
Proposes -PCA to learn identifiable linear transformations without whitening.
Develops a new framework to measure network connectedness across and within markets.
We derive an integral formula for the linking number of two submanifolds of the n-sphere S^n, of the product S^n x R^m, and of other manifolds which appear as "nice" hypersurfaces in Euclidean space. The formulas are geometrically meaningful in that they are invariant under the action of the special orthogonal group on…
The paper argues for using Neyman orthogonal score for balancing in debiased machine learning.
We develope a new scheme for the construction of explicit complex-valued proper biharmonic functions on Riemannian Lie groups. We exploit this and manufacture many infinite series of uncountable families of new solutions on the special unitary group . We then show that the special orthogonal group and th…
New discretizations of principal curvature lines discovered.
The paper constructs special hypersurfaces in complex space forms.
We give new explicit formulas for the representations of the mapping class group of a genus one surface with one boundary component which arise from Integral TQFT. Our formulas allow one to compute the h-adic expansion of the TQFT-matrix associated to a mapping class in a straightforward way. Truncating the h-adic expa…
Paper addresses group synchronization with incomplete measurements and proves linear convergence of GPM.
We study special almost Kaehler manifolds whose curvature tensor satisfies the second curvature condition of Gray. It is shown that for such manifolds, the torsion of the first canonical Hermitian is parallel. This enables us to show that every AK_2-manifold has parallel torsion. Some applications of this result, conce…
Efficient diffusion model for symmetric manifolds reduces training and computation costs.
Special p-forms are forms which have components φ_{μ_1...μ_p} equal to +1,-1 or 0 in some orthonormal basis. A p-form φ\in Λ^p R^d is called democratic if the set of nonzero components {φ_{μ_1...μ_p}} is symmetric under the transitive action of a subgroup of O(d,Z) on the indices {1,...,d}. Knowledge of these symmetry …
Study spectral flow on a warped cylinder with special boundary conditions.
Constructing eigenfunctions for finite-time singularities in Lagrangian mean curvature flow