Study excess logarithmic residues for foliations to bound invariant hypersurfaces and test log canonicity.
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Localizes Wodzicki residue for logarithm of differential operators.
The paper establishes a Poisson Poincaré-Dulac theorem for Poisson-flat connections.
Proves a Baum--Bott formula for foliations by curves with logarithmic terms.
We prove a global residual formula in terms of logarithmic indices for one-dimensional holomorphic foliations, with isolated singularities, and logarithmic along normal crossing divisors. We also give a formula for the total sum of the logarithmic indices if the singular set of the foliation is contained in the invaria…
Examines a new type of analytic torsion on Riemannian manifolds.
Study quadratic one-forms on logarithmic Higgs bundles on pointed curves.
Proves a stack of G-bundles with logarithmic connections is finite type.
We show that the residue density of the logarithm of a generalised Laplacian on a closed manifold defines an invariant polynomial valued differential form. We express it in terms of a finite sum of residues of classical pseudodifferential symbols. In the case of the square of a Dirac operator, these formulae provide a …
We prove a functorial correspondence between a category of logarithmic -connections on a curve with fixed generic residues and a category of abelian logarithmic connections on an appropriate spectral double cover . The proof is by constructing a pair of inverse functors $π^{\text{ab}}, π…
This paper has four main parts. In the first part, we construct a noncommutative residue for the hypoelliptic calculus on Heisenberg manifolds, that is, for the class of Heisenberg PsiDOs introduced by Beals-Greiner and Taylor. This noncommutative residue appears as the residual trace on integer order Heisenberg PsiDOs…
Study of foliations' geometric and topological structures.
The skip-connections used in residual networks have become a standard architecture choice in deep learning due to the increased training stability and generalization performance with this architecture, although there has been limited theoretical understanding for this improvement. In this work, we analyze overparameter…
Given a compact Kaehler manifold, we consider the complement U of a divisor with normal crossings and a unitary local system V on it. We consider a differential graded Lie algebra (DGLA) of forms with holomorphic logarithmic singularities and vanishing residues. We construct a spectral sequence corresponding to the ant…
A new method boosts exploration in bandit algorithms, reducing regret.
Formula for sections on complex manifolds with non-isolated components.
Two types of differentials are shown equivalent for compactifying moduli spaces.
This paper describes the connection between scattering matrices on conformally compact asymptotically Einstein manifolds and conformally invariant objects on their boundaries at infinity. The conformally invariant powers of the Laplacian arise as residues of the scattering matrix and Branson's Q-curvature in even dimen…
We study the generalization properties of minimum-norm solutions for three over-parametrized machine learning models including the random feature model, the two-layer neural network model and the residual network model. We proved that for all three models, the generalization error for the minimum-norm solution is compa…
In this work we prove a Baum-Bott type formula for non-compact complex manifold of the form , where is a complex compact manifold and is a normal crossing divisor on . As applications, we provide a Poincaré-Hopf type Theorem and an optimal description for a smooth hypersur…
A simple strategy prevents negative transfer in transfer learning.
An old theorem of Weil and Kodaira says that for a compact Kähler manifold there is a closed logarithmic -form with residue divisor if and only if is homologous to zero in . In the first part of this paper, we generalize the above theorem to general compact complex manifolds by sho…
We have modeled the employment/population ratio in the largest developed countries. Our results show that the evolution of the employment rate since 1970 can be predicted with a high accuracy by a linear dependence on the logarithm of real GDP per capita. All empirical relationships estimated in this study need a struc…
Optimization geometrodynamics simplifies adaptive optimizer dynamics.
We present asymptotic and finite-sample results on the use of stochastic blockmodels for the analysis of network data. We show that the fraction of misclassified network nodes converges in probability to zero under maximum likelihood fitting when the number of classes is allowed to grow as the root of the network size …
Abstract: Non-residually finite hyperbolic groups imply non-residually finite rigid hyperbolic groups.
Residual finiteness is known to be an important property of groups appearing in combinatorial group theory and low dimensional topology. In a recent work [2] residual finiteness of quandles was introduced, and it was proved that free quandles and knot quandles are residually finite. In this paper, we extend these resul…
In this note, residual finiteness of quandles is defined and investigated. It is proved that free quandles and knot quandles of tame knots are residually finite and Hopfian. Residual finiteness of quandles arising from residually finite groups (conjugation, core and Alexander quandles) is established. Further, residual…
Every non-trivial knot group is fully residually perfect.
Residual flows are shown to approximate MMD well.
Let be a prime. In this paper, we classify the geometric 3-manifolds whose fundamental groups are virtually residually . Let be a virtually fibered 3-manifold. It is well-known that is residually solvable and even residually finite solvable. We prove that is always virtually residually …
Researchers identify critical protein residues using advanced graph theory.
Defines Wodzicki residue using groupoids and fibered distributions.
In this work we prove a Baum-Bott type residue theorem for flags of holomorphic foliations. We prove some relations between the residues of the flag and the residues of their correspondent foliations. We define the Nash residue for flags and we give a partial answer to the Baum-Bott type rationality conjecture in this …
We revisit residual algorithms in both model-free and model-based reinforcement learning settings. We propose the bidirectional target network technique to stabilize residual algorithms, yielding a residual version of DDPG that significantly outperforms vanilla DDPG in the DeepMind Control Suite benchmark. Moreover, we…
Wide residual networks generalize well with uniform convergence to RNTK as width increases.
The paper studies residues of manifolds and their applications in geometry.
Given a prime , a group is called residually if the intersection of its -power index normal subgroups is trivial. A group is called virtually residually if it has a finite index subgroup which is residually . It is well-known that finitely generated linear groups over fields of characteristic zero are …
We show that Out(G) is residually finite if G is a one-ended group that is hyperbolic relative to virtually polycyclic subgroups. More generally, if G is one-ended and hyperbolic relative to proper residually finite subgroups, the group of outer automorphisms preserving the peripheral structure is residually finite. We…
In this study, we perform a novel analysis of the 2015 financial bubble in the Chinese stock market by calibrating the Log Periodic Power Law Singularity (LPPLS) model to two important Chinese stock indices, SSEC and SZSC, from early 2014 to June 2015. The back tests of the 2015 Chinese stock market bubbles indicates t…
Simplifies residual flows to make flow-based modeling more practical.
In this paper, we introduce the notions of logarithmic Poisson structure and logarithmic principal Poisson structure; we prove that the latter induces a representation by logarithmic derivation of the module of logarithmic Kahler differentials; therefore, it induces a differential complex from which we derive the notio…
Study on endomorphism and automorphism groups of specific quandles.
Unified ODE model explains residual and non-residual networks.
Defines and proves generalized noncommutative residue theorems for specific dimensions.
Batch normalization makes deep residual networks train faster.
New algorithm reduces pricing error by a factor of T^2/3.
Proves Singer conjecture for graph manifolds with residually finite groups.