Skip to content
#diffusion models Open access

Covariant Diffusion Equations under Velocity Suppression and Poisson Microstructure

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

We investigate the combined effects of the statistical organization of particle velocities and local occupancy statistics on macroscopic transport, together with a Schr\"odinger-type representation of the resulting transport system. Starting from a model of equal-mass point particles in unbounded three-dimensional space with independent Gaussian velocity statistics, we prove that, in conditional comparisons at fixed particle number and realized total kinetic energy, increasing the group velocity contracts the residual-speed distribution by a determined scale factor while preserving the conditional isotropy of residual motion. Under independent reference velocity processes and common temporal-correlation conditions, averaging the velocities of a finite number of particles yields a $k^{-1/2}$ speed scale and a $1/k$ diffusion response. Combining these results with an instantaneous Poisson occupancy closure and weighting by elementary-particle load gives the exact occupancy-suppression function $B(\lambda)=(1-e^{-\lambda})/\lambda$, where $\lambda$ is the mean occupancy of a small lattice cell. Under common channel means, a local reciprocal-exchange constitutive law, and an effective momentum closure, we incorporate group-velocity suppression, $\chi=1-|\boldsymbol U|^2/C^2$, and Poisson occupancy suppression into channel exchange to derive coupled density--reduced-momentum transport equations that retain directed momentum advection. Here $\boldsymbol U$ is the group velocity and $C$ is the fixed root-mean-square speed budget. Retaining all spatial derivatives of the suppression coefficients, as well as changes in volume and basis vectors, we establish the spatially covariant conservation form of the system with a single absolute time. On the same suppression background, Nelson-type forward--backward statistics, supplemented by an explicit orientation-dynamics condition, yield a variable-coefficient modified Schr\"odinger equation with diffusion coefficient $d_N=\hbar\chi B(\lambda)/(2m)$. We also obtain the corresponding inverse statistical representation and conditions for orientation reconstruction. Finally, we construct a complete three-dimensional comoving geometry from local planes spanned by the momentum-density vectors at neighboring points and introduce a determined full-field amplitude--orientation transformation in a fixed finite-cell realization. Once the source dynamics, quantum target, and initial calibration are fixed, we prove that the compatibility set is preserved under evolution. This establishes a one-to-one correspondence, on a common regular time interval, between the original transport system and its complete comoving representation containing the modified Schr\"odinger readout. The correspondence permits determined changes in readout amplitude while ensuring unique reconstruction of the original state through the retained density, three-dimensional geometry, and calibration data. Under the stated statistical, constitutive, and orientation-dynamics conditions, these results connect doubly suppressed transport, spatial covariance, and reversible quantum representation within a single mathematical framework.

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.