Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
Elastic Collisions: Introduction01:00

Elastic Collisions: Introduction

An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
Unsoundness of Aggregate due to Volume Change01:26

Unsoundness of Aggregate due to Volume Change

Unsoundness in aggregates due to volume changes is primarily caused by the physical alterations aggregates undergo, such as freezing and thawing, thermal changes, and wetting and drying. Unsound aggregates, when subjected to these changes, result in volume change upon disintegration. This, in turn, contributes to the deterioration of concrete, including scaling, pop-outs, and cracking. Particular types of aggregates, such as porous flints, cherts, and those containing clay minerals, are...
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
Accelerating Fluids01:17

Accelerating Fluids

When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Metabolic Saliency as KL-Divergence Estimator: Information-Geometric Attribution of Systemic Stress in JSE Equity Network.

Entropy (Basel, Switzerland)·2026
Same author

Explicating factors that explain condom use intention among in-school adolescents in Botswana: a structural equation modelling approach.

SAHARA J : journal of Social Aspects of HIV/AIDS Research Alliance·2021
See all related articles

Related Experiment Videos

Geodesic Execution Slippage: A Statistical Physics Framework for Cryptocurrency Liquidity Risk.

Ntebogang Dinah Moroke1, Lebotsa Daniel Metsileng1

  • 1Department of Statistics and Operations Research, Faculty of Economic and Management Sciences, North-West University, Mafikeng Campus, Private Bag X2046, Mmabatho 2735, South Africa.

Entropy (Basel, Switzerland)
|June 26, 2026
PubMed
Summary

GEODEX models cryptocurrency transaction costs using geometric principles, improving prediction accuracy and providing early warnings for market instability. This novel approach enhances financial market intelligence for regulators and participants.

Keywords:
Curvature-Fragmentation LawFisher information metricRiemannian manifoldWasserstein distancecomplex financial systemsearly warning signalseconophysicsgeodesic execution slippagemarket microstructurepersistent homology

Related Experiment Videos

Area of Science:

  • Quantitative Finance
  • Computational Economics
  • Financial Econometrics

Background:

  • Traditional cryptocurrency transaction cost models are limited by flat geometry assumptions.
  • Execution costs are typically modeled as proportional fees, failing to capture complex market dynamics.

Purpose of the Study:

  • To introduce GEODEX, a novel framework for modeling cryptocurrency execution slippage.
  • To utilize geometric and topological methods for enhanced financial market analysis.

Main Methods:

  • Modeling execution slippage as geodesic arc length on a Fisher information manifold.
  • Employing a Markov-switching GARCH maximum-entropy model with a joint curvature-topological fragmentation alarm.
  • Analytically deriving and empirically validating the Curvature-Fragmentation Law.

Main Results:

  • GEODEX demonstrates competitive prediction error across five major cryptocurrencies (BTC, ETH, XRP, LTC, BCH).
  • Ablation studies confirm the unique contribution of geometric components (geodesic, topological data analysis, curvature).
  • The joint curvature-topological alarm provides timely warnings, preceding circuit breaker thresholds by a median of two days during crises.

Conclusions:

  • GEODEX offers a geometrically grounded approach to understanding cryptocurrency transaction costs and market dynamics.
  • The framework provides valuable, accessible liquidity intelligence supporting financial stability and regulatory oversight.
  • Supports Sustainable Development Goals 10 and 16 through enhanced market transparency and institutional strength.