Link framings can only change when a 3-manifold has a non-separating sphere.
arXiv research
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4-manifolds with nonnegative sectional curvature are area-extremal.
We show that the R/Z part of the analytically defined eta invariant of Atiyah-Patodi-Singer for a Dirac operator on an odd dimensional closed spin manifold can be expressed purely geometrically through a stable Chern-Simons current on a higher dimensional sphere. As a preliminary application, we discuss the relation wi…
In this paper we analytically study the problem of pricing an arithmetically averaged Asian option in the path integral formalism. By a trick about the Dirac delta function, the measure of the path integral is defined by an effective action functional whose potential term is an exponential function. This path integral …
Study of skateboard flips as continuous curves in group.
Nash's theorem proved with Günther's trick
Explains Conway's tangle trick and its mathematical origins.
Unified framework for gradient estimation in combinatorial spaces.
We prove all knots can be transformed into a trefoil using special diagrams.
Geometric trick simplifies link homotopy and concordance.
Outlier based Robust Principal Component Analysis (RPCA) requires centering of the non-outliers. We show a "bias trick" that automatically centers these non-outliers. Using this bias trick we obtain the first RPCA algorithm that is optimal with respect to centering.
The Gumbel-max trick and its extensions simplify sampling from categorical distributions in machine learning.
Tricks improve retail product image classification accuracy.
A new gradient estimator for categorical distributions reduces bias and variance.
Establishes necessary and sufficient conditions for smooth triviality of Lie subalgebras and Lie ideals, and proves Moser's trick for foliations.
Triple-point Whitney trick classifies ornaments of 3-manifolds.
Alexander trick applied to homology spheres for manifold homeomorphisms.
The paper establishes distance estimates for manifolds with lower scalar curvature bounds.
Embolic volume of compact manifolds is defined in terms of Berger's embolic inequality. In this paper, we show a result of relating embolic volume to the first Betti number. The proof relies on Gromov's covering argument appeared in systolic geometry. Berger called this method covering trick. We exploit and present mor…
Expands Bredon's trick for applications in geometry and topology.
Bredon's trick helps extend local properties to global topological spaces.
We observe that gradients computed via the reparameterization trick are in direct correspondence with solutions of the transport equation in the formalism of optimal transport. We use this perspective to compute (approximate) pathwise gradients for probability distributions not directly amenable to the reparameterizati…
We introduce a family of pairwise stochastic gradient estimators for gradients of expectations, which are related to the log-derivative trick, but involve pairwise interactions between samples. The simplest example of our new estimator, dubbed the fundamental trick estimator, is shown to arise from either a) introducin…
The Gumbel trick is a method to sample from a discrete probability distribution, or to estimate its normalizing partition function. The method relies on repeatedly applying a random perturbation to the distribution in a particular way, each time solving for the most likely configuration. We derive an entire family of r…
An online reinforcement learning algorithm is anytime if it does not need to know in advance the horizon T of the experiment. A well-known technique to obtain an anytime algorithm from any non-anytime algorithm is the "Doubling Trick". In the context of adversarial or stochastic multi-armed bandits, the performance of …
Inference in popular nonparametric Bayesian models typically relies on sampling or other approximations. This paper presents a general methodology for constructing novel tractable nonparametric Bayesian methods by applying the kernel trick to inference in a parametric Bayesian model. For example, Gaussian process regre…
New trick builds hyperbolic manifolds from compact ones, proving some don't virtually fiber.
The reparameterization trick has become one of the most useful tools in the field of variational inference. However, the reparameterization trick is based on the standardization transformation which restricts the scope of application of this method to distributions that have tractable inverse cumulative distribution fu…
Boltzmann machines (BMs) are appealing candidates for powerful priors in variational autoencoders (VAEs), as they are capable of capturing nontrivial and multi-modal distributions over discrete variables. However, non-differentiability of the discrete units prohibits using the reparameterization trick, essential for lo…
New method for simplifying knots with specific properties.
New conformal geometry method solves Einstein-Weyl equations.
We discuss replica analytic continuation using several simple models in order to prove mathematically the validity of replica analysis, which is used in a wide range of fields related to large scale complex systems. While replica analysis consists of two analytical techniques, the replica trick (or replica analytic con…
Paper develops a weighted linearization approach for vector fields.
We define two categories of Dirac manifolds, i.e. manifolds with complex Dirac structures. The first notion of maps I call \emph{Dirac maps}, and the category of Dirac manifolds is seen to contain the categories of Poisson and complex manifolds as full subcategories. The second notion, \emph{dual-Dirac maps}, defines a…
Alternative discrete Dirac mechanics using Dirac structures.
Introduces weak -Dirac structures in geometric settings.
Defines Dirac pairs on Jacobi algebroids, generalizing Lie algebroids.
In this paper we introduce the Dirac and spin-Dirac operators associated to a connection on Riemann-Cartan space(time) and standard Dirac and spin-Dirac operators associated with a Levi-Civita connection on a Riemannian (Lorentzian) space(time) and calculate the square of these operators, which play an important role i…
Stokes-Dirac structures are infinite-dimensional Dirac structures defined in terms of differential forms on a smooth manifold with boundary. These Dirac structures lay down a geometric framework for the formulation of Hamiltonian systems with a nonzero boundary energy flow. Simplicial triangulation of the underlaying m…
Introduces compatibility between Dirac structures and Nijenhuis tensors.
Tricks adversarial attacks to target specific classes, improving classifier accuracy.
Given a Dirac subbundle and an isotropic subbundle of a Courant algebroid, we provide a canonical method to obtain a new Dirac subbundle. When the original Dirac subbundle is involutive (i.e., a Dirac structure) this construction has interesting applications, for instance to Dirac's theory of constraints and to the Mar…
This paper solves a complex differential relation using a novel 'avoidance trick'.
We show that a suitable notion of Dirac-Jacobi structure on a generic line bundle , is provided by Dirac structures in the omni-Lie algebroid of . Dirac-Jacobi structures on line bundles generalize Wade's -Dirac structures and unify generic (i.e.~non-necessarily coorientable) precontact distribu…
We introduce Dirac processes, using Dirac delta functions, for short-rate-type pricing of financial derivatives. Dirac processes add spikes to the existing building blocks of diffusions and jumps. Dirac processes are Generalized Processes, which have not been used directly before because the dollar value of non-Real nu…
New spectral torsion defined for rescaled Dirac operators.
A new network model combines features of DCBM, LSM, and β-model, using a cancellation trick for parameter estimation.
We had previously defined the rho invariant for the twisted Dirac operator on a closed odd dimensional Riemannian spin manifold , acting on sections of a flat hermitian vector bundle over , where is an odd-degree differential form on $Y…