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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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17355269 · Jun 202619922001200920172026
48 results for sup x inf inequality

We give some a priori estimates of type sup*inf for Yamabe and prescribed scalar curvature type equations on Riemannian manifolds of dimension >2. The product sup*inf is caracteristic of those equations, like the usual Harnack inequalities for non negative harmonic functions. First, we have a lower bound for sup*inf fo…

2006-04-25abs ↗pdf ↗

The paper explores numerical characteristics of compact Riemannian manifolds and proves inequalities.

problem Analyzing numerical characteristics of compact Riemannian manifolds.
method Proving inequalities involving scalar curvature, Ricci curvature, and sectional curvature.
result Proven inequalities for the curvature of compact Riemannian manifolds.

Algorithmic solutions to the conjugacy problem in the braid groups B_n were given by Elrifai-Morton in 1994 and by the authors in 1998. Both solutions yield two conjugacy class invariants which are known as `inf' and `sup'. A problem which was left unsolved in both papers was the number m of times one must `cycle' (res…

2000-03-21abs ↗pdf ↗

On a filtered probability space (Ω,F,P,F=(Ft)t=0,,T)(Ω,\mathcal{F},P,\mathbb{F}=(\mathcal{F}_t)_{t=0,\dotso,T}), we consider stopper-stopper games $\overline V:=\inf_{\Rho\in\bT^{ii}}\sup_{τ\in\T}\E[U(\Rho(τ),τ)]$ and $\underline V:=\sup_{\Tau\in\bT^i}\inf_{ρ\in\T}\E[U(\Rho(τ),τ)]$ in discrete time, where U(s,t)U(s,t) is $\mathcal{F}_{s\vee…

2014-08-16abs ↗pdf ↗

We study the existence of optimal actions in a zero-sum game infτsupPEP[Xτ]\inf_τ\sup_PE^P[X_τ] between a stopper and a controller choosing a probability measure. This includes the optimal stopping problem infτE(Xτ)\inf_τ\mathcal{E}(X_τ) for a class of sublinear expectations E()\mathcal{E}(\cdot) such as the GG-expectation. We show that …

2012-12-10abs ↗pdf ↗

We define a new differential invariant a compact manifold by VM(M)=infgVc(M,[g])V_{\mathcal M}(M)=\inf_g V_c(M,[g]), where Vc(M,[g])V_c(M,[g]) is the conformal volume of MM for the conformal class [g][g], and prove that it is uniformly bounded above. The main motivation is that this bound provides a upper bound of the Friedlander-Nadirashvili…

2008-01-17abs ↗pdf ↗

Lewis and Mordecki have computed the Wiener-Hopf factorization of a Lévy process whose restriction on ]0,+[]0,+\infty[ of their Lévy measure has a rational Laplace transform. That allows to compute the distribution of (Xt,inf0stXs)(X_t,\inf_{0\leq s\leq t}X_s). For the same class of Lévy processes, we compute the distribution of $ (…

2010-03-25abs ↗pdf ↗

Harmonic maps between specific metric spaces are studied with Lipschitz estimates and variational principles.

problem Analyzing harmonic maps between RCD(K,N){\sf RCD}(K,N) and CAT(0){\sf CAT}(0) spaces.
method Combining Moser's iteration, a Bochner-type inequality, and a reverse Poincaré inequality.
result Lipschitz estimate for harmonic maps with radius and space-dependent constants.

Let (Σ,g)(Σ,g) be a closed Riemannian surface, W1,2(Σ,g)W^{1,2}(Σ,g) be the usual Sobolev space, G\textbf{G} be a finite isometric group acting on (Σ,g)(Σ,g), and HG\mathscr{H}_\textbf{G} be a function space including all functions uW1,2(Σ,g)u\in W^{1,2}(Σ,g) with Σudvg=0\int_Σudv_g=0 and u(σ(x))=u(x)u(σ(x))=u(x) for all σGσ\in \textbf{G} and all $x\inΣ…

2018-04-27abs ↗pdf ↗

Given a complete nn-dimensional Riemannian manifold MM, we study the existence of vertical graphs in M×RM\times\mathbb{R} with prescribed mean curvature H=H(x,z)H=H(x,z). Precisely, we prove that the Dirichlet problem for the vertical mean curvature equation in a smooth bounded domain ΩMΩ\subset M has solution for arbitrary…

2019-02-27abs ↗pdf ↗

This paper concerns the recursive utility maximization problem. We assume that the coefficients of the wealth equation and the recursive utility are concave. Then some interesting and important cases with nonlinear and nonsmooth coefficients satisfy our assumption. After given an equivalent backward formulation of our …

2016-07-04abs ↗pdf ↗

Let MM be a connected, noncompact, complete Riemannian manifold, consider the operator $L=\DD +\nn V$ for some VC2(M)V\in C^2(M) with exp[V]\exp[V] integrable w.r.t. the Riemannian volume element. This paper studies the existence of the spectral gap of LL. As a consequence of the main result, let $\rr$ be the distance functi…

1998-04-14abs ↗pdf ↗

Let MM be a compact manifold with a metric gg and with a fixed spin structure χχ. Let λ_1+(g)λ\_1^+(g) be the first non-negative eigenvalue of the Dirac operator on (M,g,χ)(M,g,χ). We set τ(M,χ):=supinfλ_1+(g)τ(M,χ):= \sup \inf λ\_1^+(g) where the infimum runs over all metrics gg of volume 1 in a conformal class [g_0][g\_0] on MM and where the…

2006-07-27abs ↗pdf ↗

We characterize the communication complexity of the following distributed estimation problem. Alice and Bob observe infinitely many iid copies of ρρ-correlated unit-variance (Gaussian or ±1\pm1 binary) random variables, with unknown ρ[1,1]ρ\in[-1,1]. By interactively exchanging kk bits, Bob wants to produce an estimate $…

2019-01-25abs ↗pdf ↗

Researchers develop methods to recover agent behavior from sparse data using Gaussian processes.

problem Recovering agent behavior from limited, noisy data in potential mean field games.
method Two Gaussian process-based frameworks: inf-sup formulation and bilevel approach.
result Surrogate MFG models can accurately reproduce observed data, even when prior information is limited.

The paper tackles robust control with uncertain dependence using data-driven methods.

problem Nonparametric robust control under dependence uncertainty in multi-period stochastic systems.
method Nonparametric adaptive robust control framework using stochastic gradient descent ascent algorithm.
result The controller benefits from knowing more about the uncertain model.

Let M be a compact manifold with a spin structure χand a Riemannian metric g. Let λ_g^2 be the smallest eigenvalue of the square of the Dirac operator with respect to g and χ. The τ-invariant is defined as τ(M,χ):= sup inf \sqrt{λ_g^2} Vol(M,g)^{1/n} where the supremum runs over the set of all conformal classes on M, a…

2004-12-20abs ↗pdf ↗

Assuming that the stock price Z=(Zt)0tTZ=(Z_t)_{0\leq t\leq T} follows a geometric Brownian motion with drift μRμ\in\mathbb{R} and volatility σ>0σ>0, and letting Mt=max0stZsM_t=\max_{0\leq s\leq t}Z_s for t[0,T]t\in[0,T], we consider the optimal prediction problems \[V_1=\inf_{0\leqτ\leq T}\mathsf{E}\biggl(\frac{M_T}{Z_τ}\biggr)\quadand\qu…

2009-08-07abs ↗pdf ↗

Let (M,g)(M,g) be a compact Riemannian manifold of dimension n3n\geq 3. For a metric gg on MM, we let $\la_2(g)$ be the second eigenvalue of the Yamabe operator $L_g:= \frac{4(n-1)}{n-2} Δ_g + \scal_g$. Then, the second Yamabe invariant is defined as $$ \si_2(M) \definedas \sup \inf_{h \in [g]} \la_2(h) \Vol(M,h)^{2/n}.…

2012-11-28abs ↗pdf ↗

The paper proves a Moser-Trudinger inequality for zero-mean functions in 2D.

problem Proving a Moser-Trudinger inequality for zero-mean functions in 2D.
method Analyzing the supremum of a specific integral over functions in W1,2(Ω)W^{1,2}(Ω) with zero mean and bounded gradient norm.
result The supremum is finite and can be attained for β(0,1)β \in (0,1), partially generalizing Chang and Yang's result.

Let $(M,g,\si)$ be a compact Riemannian spin manifold of dimension 2\geq 2. For any metric g~\tilde g conformal to gg, we denote by λ~\tildeλ the first positive eigenvalue of the Dirac operator on $(M,\tilde g,\si)$. We show that $$\inf_{\tilde{g} \in [g]} \tildeλ\Vol(M,\tilde g)^{1/n} \leq (n/2) \Vol(S^n)^{1/n}.$$ T…

2003-08-12abs ↗pdf ↗

We consider as given a discrete time financial market with a risky asset and options written on that asset and determine both the sub- and super-hedging prices of an American option in the model independent framework of ArXiv:1305.6008. We obtain the duality of results for the sub- and super-hedging prices. For the sub…

2013-09-11abs ↗pdf ↗

We prove that on a compact nn-dimensional spin manifold admitting a non-trivial harmonic 1-form of constant length, every eigenvalue λλ of the Dirac operator satisfies the inequality λ2n14(n2)infMScalλ^2 \geq \frac{n-1}{4(n-2)}\inf_M Scal. In the limiting case the universal cover of the manifold is isometric to R×NR\times N where $N…

2003-05-09abs ↗pdf ↗

Let G be a two generator subgroup of PSL(2,C). The Jorgensen number J(G) of G is defined by J(G)=inf{ |tr^2 A-4|+|tr[A,B]-2| ; G=<A,B>}. If G is a non-elementary Kleinian group, then J(G) >= 1. This inequality is called Jorgensen's inequality. In this paper, we show that, for any r >= 1, there exists a non-elementary K…

2017-03-22abs ↗pdf ↗

INF-clip optimizes heavy-tailed MAB problems with improved performance.

problem Optimizing multi-armed bandit problems with heavy-tailed rewards.
method INF-clip algorithm for adversarial and stochastic heavy-tailed MAB settings.
result INF-clip is optimal for linear and non-linear heavy-tailed stochastic MAB problems.

In this paper we will discuss the optimal risk transfer problems when risk measures are generated by G-expectations, and we present the relationship between inf-convolution of G-expectations and the inf-convolution of drivers G.

2009-10-28abs ↗pdf ↗

This paper tightens the law of the iterated logarithm for empirical KL_inf, applicable to unbounded data.

problem Developing nonasymptotic concentration bounds for empirical KL_inf with optimal constants and rates.
method Presenting a tight law of the iterated logarithm for empirical KL_inf, applicable to unbounded data.
result A tight law of the iterated logarithm for empirical KL_inf, applicable to unbounded data.

The paper estimates solutions to a heat inequality on Riemannian manifolds with specific initial data.

problem Estimating nonnegative solutions to a semilinear heat inequality with Morrey norms.
method Using differential inequalities and Morrey norms, the paper obtains LL^\infty estimates and improved estimates near the initial time.
result Improved estimates for nonnegative solutions of the differential inequality in Morrey norms on Riemannian manifolds.

Sharp inequalities for weighted log canonical thresholds derived.

problem Understanding weighted log canonical thresholds in complex analysis.
method Combining integrability estimates, complex line restrictions, and pluripotential theory.
result Uniform control of difference quotients and explicit lower bounds derived.

We develop a class of pathwise inequalities of the form H(Bt)Mt+F(Lt)H(B_t)\ge M_t+F(L_t), where BtB_t is Brownian motion, LtL_t its local time at zero and MtM_t a local martingale. The concrete nature of the representation makes the inequality useful for a variety of applications. In this work, we use the inequalities to derive …

2007-02-07abs ↗pdf ↗

Study risk sharing among agents with varying risk preferences.

problem Risk sharing among agents with heterogeneous risk measures.
method Derive explicit solutions for inf-convolution and counter-monotonic inf-convolution under varying risk seeking.
result Explicit solutions for inf-convolution and counter-monotonic inf-convolution can be represented by a generalization of distortion risk measures.

SurvLIME-Inf simplifies explanation of survival models using a linear programming approach.

problem Explain complex survival models using simple linear programming.
method Uses LL_{\infty }-norm for feature importance and explains black-box models.
result SurvLIME-Inf outperforms SurvLIME in small training set scenarios.

Let $(M,g,\si)$ be a compact spin manifold of dimension n2n \geq 2. Let λ1+(g~)λ_1^+(\tilde{g}) be the smallest positive eigenvalue of the Dirac operator in the metric g~[g]\tilde{g} \in [g] conformal to gg. We then define $\lamin(M,[g],\si) = \inf_{\tilde{g} \in [g]} λ_1^+(\tilde{g}) \Vol(M,\tilde{g})^{1/n} $. We show that $…

2007-05-18abs ↗pdf ↗

Deep neural networks with adversarial training achieve sup-norm convergence for nonparametric regression.

problem Achieving sup-norm convergence for deep neural network estimators in nonparametric regression.
method Developed an adversarial training scheme to address the sup-norm convergence issue.
result Deep neural network estimators achieve optimal sup-norm convergence with the proposed adversarial training.

The paper studies properties of optimal metrics associated to curves on surfaces.

problem Investigating properties of optimal metrics associated to curves on surfaces.
method Starting from a filling curve and a separating curve, constructing a two integer parameter family of curves and deriving coarse length bounds and qualitative properties of their associated optimal metrics.
result There are infinitely many pairs of filling curves with distinct inf invariants but the same self-intersection number.

It is known that the hard Lefschetz action, together with Kähler identities for Kähler (resp. hyperkähler) manifolds, determines a su(1,1)sup\mathfrak{su}(1,1)_{sup} (resp. sp(1,1)sup\mathfrak{sp}(1,1)_{sup}) Lie superalgebra action on differential forms. In this paper, we explain the geometric origin of this action, and we also gener…

2008-08-04abs ↗pdf ↗