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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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0111 · Mar 200419922001200920172026
14 results for bistability

Bistable structures associated with non-linear deformation behavior, exemplified by the Venus flytrap and slap bracelet, can switch between different functional shapes upon actuation. Despite numerous efforts in modeling such large deformation behavior of shells, the roles of mechanical and nonlinear geometric effects …

2012-06-20abs ↗pdf ↗

Novel bistable structures made from four-bar linkages, proving existence and construction.

problem Existence and construction of bistable mechanical structures composed of four-bar linkages.
method Geometric construction starting from infinitesimally flexible quad nets, applying Whiteley de-averaging.
result Construction of bistable structures from well-known quad nets, allowing control of geometric parameters.

This paper develops a cohomological hierarchy for bistable visual paradoxes.

problem Understanding the hierarchy of visual paradoxes built from bistable elements.
method Develops a cohomological hierarchy using Z2\mathbb{Z}_2 coefficients and a discrete Stokes theorem.
result Reveals a hierarchy of paradox classes from H0H^0 through H2H^2, refined at each degree by the relative/absolute distinction.

A deep learning model organizes RNA graphs to reveal folding patterns and properties.

problem Organizing and understanding the complex folding patterns of RNA secondary structures.
method Geometric scattering autoencoder (GSAE) network for learning graph embeddings.
result GSAE accurately reflects bistable RNA structures and can sample new folding trajectories.

I prove the bistability of linear evolution equations x=A(t)xx' = A(t)x in a Banach space EE, where the operator-valued function AA is of the form A(t)=f(t)G(t,f(t))A(t) = f'(t)G(t,f(t)) for a binary operator-valued function GG and a scalar function ff. The constant that bounds the solutions of the equation is computed explicitly; it i…

2015-02-12abs ↗pdf ↗

We consider a system of diffusion processes that interact through their empirical mean and have a stabilizing force acting on each of them, corresponding to a bistable potential. There are three parameters that characterize the system: the strength of the intrinsic stabilization, the strength of the external random per…

2012-04-16abs ↗pdf ↗

Noise can stabilize systemic risk models with uncertain robustness.

problem Understanding systemic risk in financial systems with uncertain parameters.
method Analyzing a mean-field model of systemic risk with uncertain coefficients and noise.
result Noise can induce stability in systemic risk models, contrary to intuition.

We consider minimal surfaces MM which are complete, embedded and have finite total curvature in R3\R^3, and bounded, entire solutions with finite Morse index of the Allen-Cahn equation Δu+f(u)=0inR3Δu + f(u) = 0 \hbox{in} \R^3 . Here f=Wf=-W' with WW bistable and balanced, for instance W(u)=14(1u2)2W(u) =\frac 14 (1-u^2)^2. We assume that …

2009-02-12abs ↗pdf ↗

New method finds basins of attraction without needing system models.

problem Determining basins of attraction (BoA) for nonlinear systems without prior knowledge.
method Hybrid Active Learning (HAL) method combining AST, AL, and DBS.
result Efficiently finds and labels boundary of BoA without model knowledge.

We formulate and analyze a multi-agent model for the evolution of individual and systemic risk in which the local agents interact with each other through a central agent who, in turn, is influenced by the mean field of the local agents. The central agent is stabilized by a bistable potential, the only stabilizing force…

2015-07-29abs ↗pdf ↗

Model analyzes RFQ markets using stochastic control to optimize dealer performance and inventory.

problem Optimizing market making in aggregator-routed RFQ markets with varying dealer performance scores.
method Two-tier stochastic control model that separates RFQ-level price competition from macro routing.
result Optimal controls can be expressed through derivatives of reduced Hamiltonians, leading to interpretable mappings from optimal win probabilities to optimal offsets.