We introduce and study a construction of higher derived brackets generated by a (not necessarily inner) derivation of a Lie superalgebra. Higher derived brackets generated by an element of a Lie superalgebra were introduced in our earlier work. Examples of higher derived brackets naturally appear in geometry and mathem…
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Study on generalized derivations in polynomial vector fields Lie algebras.
We calculate the higher derivatives of length functions on Teichmuller space along earthquake deformations. This generalizes the cosine formula for the first derivative by Kerckhoff and Wolpert and the sine formula for second derivative by Wolpert.
New samplers reduce NFEs for diffusion models.
The (parallel linear) transports in tensor spaces generated by derivations of the tensor algebra along paths are axiomatically described. Certain their properties are investigated. Transports along paths defined by derivations of the tensor algebra over a differentiable manifold are considered.
Generative model uses DDPMs for risk-neutral derivative pricing.
Derives spacetime regularity under specific curvature conditions.
Generic model for commodity derivatives pricing.
Introduces Lie-Nijenhuis bialgebroids for Poisson-Nijenhuis groupoids.
Researchers redefine spinor field derivatives in generalized geometry.
Real-world large-scale datasets usually contain noisy labels and are imbalanced. Therefore, we propose derivative manipulation (DM), a novel and general example weighting approach for training robust deep models under these adverse conditions. DM has two main merits. First, loss function and example weighting are commo…
Derives PDEs for pricing RFR derivatives under a new FMM model.
Study connects derivations and holonomy symmetries in heterotic geometries.
Proves a generalized vanishing theorem for quasi-smooth stacks, with applications in K-theory and birational geometry.
Reductive G-structures on a principal bundle Q are considered. It is shown that these structures, i.e. reductive G-subbundles P of Q, admit a canonical decomposition of the pull-back vector bundle over P. For classical G-structures, i.e. reductive G-subbundles of the linear frame bundle, suc…
The paper shows objective derivatives are covariant derivatives on Riemannian metrics.
Efficiently approximates higher-order derivatives for generative models.
Homotopy equivalence between formalities with different covariant derivatives.
Local fractional derivatives affect Riemann curvature tensor to zero.
PAC-Bayesian bounds for stochastic LTI systems derived.
Derives a formula for the k-th covariant derivative of tensor fields.
We consider a generalized Ricci flow with a given (not necessarily closed) three-form and establish the higher derivatives estimates for compact manifolds. As an application, we prove the compactness theorem for this generalized Ricci flow. The similar results still hold for a more generalized Ricci flow.
We use the Nash embedding theorem to construct generators for the space of algebraic covariant derivative curvature tensors.
A generalization of the classical Leibniz rule for the covariant derivative on a vector bundle is obtained.
In this short note we present local derivative estimates for heat equations on Riemannian manifolds following the line of W.-X. Shi. As an application we generalize a second derivative estimate of R. Hamilton for heat equations on compact manifolds to noncompact case.
This paper is concerned with the study of insurance related derivatives on financial markets that are based on non-tradable underlyings, but are correlated with tradable assets. We calculate exponential utility-based indifference prices, and corresponding derivative hedges. We use the fact that they can be represented …
Constructs covariant derivatives for Ehresmann connections.
Starting from the general concept of a Lie derivative of an arbitrary differentiable map, we develop a systematic theory of Lie differentiation in the framework of reductive G-structures P on a principal bundle Q. It is shown that these structures admit a canonical decomposition of the pull-back vector bundle i_P^*(TQ)…
Arora, Barak, Brunnermeier, and Ge showed that taking computational complexity into account, a dishonest seller could strategically place lemons in financial derivatives to make them substantially less valuable to buyers. We show that if the seller is required to construct derivatives of a certain form, then this pheno…
AD-HOC simplifies high-order derivative calculations in C++.
Generalizes neural network approximation to infinite-dimensional manifolds and derivatives.
In this paper, we present a new method for calculating the limit of early exercise boundary at expiry. We price American style of general derivative using a formula expressed as a sum of the value of European style of derivative and so called American premium. We use the latter expression to calculate an analytic formu…
Study projective derivative cocycles for circle diffeomorphisms.
Study of generalized vector bundles and their geometric tools.
We show that, locally, all geometric objects of Generalized Kahler Geometry can be derived from a function K, the "generalized Kahler potential''. The metric g and two-form B are determined as nonlinear functions of second derivatives of K. These nonlinearities are shown to arise via a quotient construction from an aux…
We estimate Radon-Nikodym derivatives using regularization in reproducing kernel Hilbert spaces.
In this short note we show how virtual arbitrage opportunities can be modelled and included in the standard derivative pricing without changing the general framework.
New framework for higher-order singular-value derivatives of rectangular matrices.
For a nonconstant holomorphic map between projective Riemann surfaces with conformal metrics, we consider invariant Schwarzian derivatives and projective Schwarzian derivatives of general virtual order. We show that these two quantities are related by the "Schwarzian derivative" of the metrics of the surfaces (at least…
In classic papers, Zellner demonstrated that Bayesian inference could be derived as the solution to an information theoretic functional. Below we derive a generalized form of this functional as a variational lower bound of a predictive information bottleneck objective. This generalized functional encompasses most moder…
In this note we provide detailed derivations of two versions of small-variance asymptotics for hierarchical Dirichlet process (HDP) mixture models and the HDP hidden Markov model (HDP-HMM, a.k.a. the infinite HMM). We include derivations for the probabilities of certain CRP and CRF partitions, which are of more general…
Kernel methods' derivatives make complex models more interpretable.
We obtain a complete time expansion of the pull-back operator generated by a real analytic flow of real analytic automorphisms acting on analytic tensor sections of a manifold. Our expansion is given in terms of multiple Lie derivatives. Motivated by this expansion, we provide a rather simple and explicit estimate for …
We consider the geodesic equation for the generalized Kahler potential with only mixed second derivatives bounded. We show that given such two generalized Kahler potentials, there is a unique geodesic segment such that for each point on the geodesic, the generalized Kahler potential has uniformly bounded mixed second d…
New theory proves representability of PDE solutions without complex machinery.
Improved path integral method for financial derivatives pricing.
Deep learning method for fair derivative pricing.
We derive general Novikov-Morse type inequalities in a Conley type framework for flows carrying cocycles, therefore generalizing our results in [FJ2] derived for integral cocycle. The condition of carrying a cocycle expresses the nontriviality of integrals of that cocycle on flow lines. Gradient-like flows are distingu…