The dual -Minkowski problem with is investigated in this paper. By proving a new existence result of solutions and constructing an example, we obtain the non-uniqueness of solutions to this problem.
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Non-unique option pricing in Heston model analyzed mathematically.
Paper explores non-uniqueness and uniqueness class for wave equations on graphs.
Wave maps can have multiple bubbling solutions at blow-up points.
The study examines uniqueness and non-uniqueness of minimal surfaces in hyperbolic space.
We consider the issue of solution uniqueness for portfolio optimization problem and its inverse for asset returns with a finite number of possible scenarios. The risk is assessed by deviation measures introduced by [Rockafellar et al., Mathematical Programming, Ser. B, 108 (2006), pp. 515-540] instead of variance as in…
Study Born-Infeld solitons and solve Björling problem for them.
Curve shortening flow is not unique on certain metrics.
Nonnegative matrix factorization (NMF) is a popular dimension reduction technique that produces interpretable decomposition of the data into parts. However, this decompostion is not generally identifiable (even up to permutation and scaling). While other studies have provide criteria under which NMF is identifiable, we…
A new principle minimizes residual and introduces momentum to improve PDE solution dynamics.
New non-canonical flows found via parabolic Allen-Cahn equations.
Proves existence of multi-phase flows from arbitrary initial data.
We consider a class of finite Markov moment problems with arbitrary number of positive and negative branches. We show criteria for the existence and uniqueness of solutions, and we characterize in detail the non-unique solution families. Moreover, we present a constructive algorithm to solve the moment problems numeric…
Study finds non-uniqueness in sphere metrics with constant fractional curvature.
We show uniqueness of classical solutions of the normalised two-dimensional Hamilton-Ricci flow on closed, smooth manifolds for smooth data among solutions satisfying (essentially) only a uniform bound for the Liouville energy and a natural space-time -bound for the time derivative of the solution. The result is s…
Non-uniqueness found in option valuation for certain α values.
In this technical note, we adapt an idea of Gabai to construct non-uniquely ergodic, non-geometric, arational trees.
In this review paper we give a geometrical formulation of the field equations in the Lagrangian and Hamiltonian formalisms of classical field theories (of first order) in terms of multivector fields. This formulation enables us to discuss the existence and non-uniqueness of solutions, as well as their integrability.
New 1-parameter family of ovals identified in 4d Ricci flow classification.
New method for estimating value of optimal policies in uncertain scenarios.
The convergence of many reinforcement learning (RL) algorithms with linear function approximation has been investigated extensively but most proofs assume that these methods converge to a unique solution. In this paper, we provide a complete characterization of non-uniqueness issues for a large class of reinforcement l…
Verified numerics prove existence of a curvature solution with known symmetries.
We analyze an -player game and the corresponding mean field game with state space . The transition rate of -th player is the sum of his control plus a minimum jumping rate . Instead of working under monotonicity conditions, here we consider an anti-monotone running cost. We show that the mean …
We first present a warped product manifold with boundary to show the non-uniqueness of the positive constant scalar curvature and positive constant boundary mean curvature equation. Next, we construct a smooth counterexample to show that the compactness of the set of "lower energy" solutions to the above equation fails…
We show that non-uniqueness of the Leray-Hopf solutions of the Navier--Stokes equation on the hyperbolic plane observed in arXiv:1006.2819 is a consequence of the Hodge decomposition. We show that this phenomenon does not occur on the hyperbolic spaces of higher dimension. We also describe the corresponding general Ham…
We construct Weil-Petersson (WP) geodesic rays with minimal filling non-uniquely ergodic ending lamination which are recurrent to a compact subset of the moduli space of Riemann surfaces. This construction shows that an analogue of the Masur's criterion for Teichmüller geodesics does not hold for WP geodesics.
The paper solves problems related to curvature on a 3-sphere.
In dimension , there is a complete theory of weak solutions of Ricci flow - the singular Ricci flows introduced by Kleiner and Lott - which are unique across singularities, as was proved by Bamler and Kleiner. We show that uniqueness should not be expected to hold for Ricci flow weak solutions in dimensions $n\geq…
Study shows non-uniqueness of Brakke flow near flat singular points.
Study on scalar curvature minimizability loss and saddle point solutions.
The conformal method has been effective for parametrizing solutions to the Einstein constraint equations on closed 3-manifolds. However, it is still not well-understood; for example, existence of solutions to the conformal equations for zero or negative Yamabe metrics is still unknown without the so-called ``CMC'' or `…
Percolation study in non-hyperbolic groups proves non-uniqueness phase.
This paper produces explicit strongly Hermitian Einstein-Maxwell solutions on the smooth compact -manifolds that are -bundles over compact Riemann surfaces of any genus. This generalizes the existence results by C. LeBrun in arXiv:1411.3992 and arXiv:1504.06669. Moreover, by calculating the (normalized) Einstei…
The classical approach to inverse problems is based on the optimization of a misfit function. Despite its computational appeal, such an approach suffers from many shortcomings, e.g., non-uniqueness of solutions, modeling prior knowledge, etc. The Bayesian formalism to inverse problems avoids most of the difficulties en…
Paper analyzes TD() convergence rates for arbitrary features.
Paper solves PDEs for optimal investment strategies in volatile markets.
We describe a method for constructing Teichmüller geodesics where the vertical measured foliation is minimal but is not uniquely ergodic and where we have a good understanding of the behavior of the Teichmüller geodesic. The construction depends on various parameters, and we show that one can adjust the parameters …
Study infinite-dimensional Toda manifold at irregular singularity, revealing non-uniqueness of formal solutions.
This is a very brief report on recent developments on the Dirichlet problem for the minimal surface system and minimal cones in Euclidean spaces. We shall mainly focus on two directions: (1) Further systematic developments after Lawson-Osserman's paper \cite{l-o} on the Dirichlet problem for minimal graphs of high codi…
New varifold solutions for mean curvature flow converge and are unique.
Rank minimization has attracted a lot of attention due to its robustness in data recovery. To overcome the computational difficulty, rank is often replaced with nuclear norm. For several rank minimization problems, such a replacement has been theoretically proven to be valid, i.e., the solution to nuclear norm minimiza…
We show, in this note, that on any symplectic supermanifold, even or odd, there exist an infinite dimensional affine space of symmetric connections, compatible to the symplectic form.
Dual-space sampling tackles ill-conditioned inverse problems with Bayesian methods.
Paper analyzes adaptive ISTA with MAD for LASSO problem.
Study on Seifert fibered spherical 3-orbifolds, determining their unique fibrations.
The paper explores uniqueness and non-uniqueness of spacetime extensions in general relativity.
Lawson-Osserman constructed three types of non-parametric minimal cones of high codimensions based on Hopf maps between spheres, which correspond to Lipschitz but non-differentiable solutions to the minimal surface equations, thereby making sharp contrast to the regularity theorem for minimal graphs of codimension 1. I…
The paper shows how multi-task learning in neural networks is similar to kernel regression and Hilbert spaces.