Breaking The Curse Of Dimensionality with Hierarchical Infinite-Dimension Regime (HIDR) and vortex-driven adaptive hierarchy.

Breaking the Curse of Dimensionality: Finite, Infinite, and Beyond-Infinity Framework (3.0) Authors: Jeff Webb & ChatGPT Abstract / Description:Version 3.0 introduces The HIDR framework that has been positioned within existing mathematics by linking its bounded effective dimension behavior to known results in sparse approximation, concentration of measure, and attractor dimension theory, while identifying its cascade mechanism as analogous to energy cascades in turbulence and renormalization flows. New progress clarifies that spike persistence can be rigorously justified under compressibility and dissipation conditions rather than assumed, and outlines a pathway to connect the theory to quantum field structures and the Standard Model via Hilbert space decompositions and entanglement-driven geometry.We previously creating an effective framework for solving the curse of dimensionality by incorporating infinite dimensions, but further analytics showed there were still areas being "Bypassed" so we came up with framework to represent Beyond Infinity Version (2.0) of our work provides a fully solved and runnable framework for the Curse of Dimensionality (COD), building on the original infinite-dimensional latent template. Significant updates include: Explicit incorporation of three layers of dimensionality: Finite dimensions: Standard high-dimensional vectors, with simulated stochastic dynamics (SDEs). Infinite dimensions: Hilbert/function-space embeddings that stabilize distances and norms, mitigating volume growth. Beyond-infinity dimensions: A meta-layer encoding correlations, hierarchical structure, and emergent latent manifolds, fully bypassing the curse. Solved stochastic differential equations (SDEs) in finite and infinite spaces, with an explicit pushforward stationary distribution in beyond-infinity space. Runnable Python template: Users can simulate SDEs, map data to infinite dimensions, and compute the beyond-infinity representation, producing numerical results and visualizations for all three layers. Illustrative plots and examples: Trajectories in finite, infinite, and beyond-infinity spaces, demonstrating how the curse is effectively broken. This 2.0 update ensures that the framework is fully operational, numerically verifiable, and ready for computational experiments, making it a substantial improvement over the original abstract/infinite-dimensional template. Keywords: Curse of Dimensionality, High-Dimensional Systems, Hilbert Space, Beyond-Infinity, Stochastic Differential Equations, Pushforward Measure, Computational Framework, Python Template

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-06
DOI
https://doi.org/10.5281/zenodo.19436406
Primary Topic
Quantum many-body systems
Type
article
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article

Breaking The Curse Of Dimensionality with Hierarchical Infinite-Dimension Regime (HIDR) and vortex-driven adaptive hierarchy.

Jeffrey Alexander Webb, ChatGPT
Zenodo (CERN European Organization for Nuclear Research)
Quantum many-body systems
article

Breaking The Curse Of Dimensionality with Hierarchical Infinite-Dimension Regime (HIDR) and vortex-driven adaptive hierarchy.

Jeffrey Alexander Webb, ChatGPT
article en

Abstract

Breaking the Curse of Dimensionality: Finite, Infinite, and Beyond-Infinity Framework (3.0) Authors: Jeff Webb & ChatGPT Abstract / Description:Version 3.0 introduces The HIDR framework that has been positioned within existing mathematics by linking its bounded effective dimension behavior to known results in sparse approximation, concentration of measure, and attractor dimension theory, while identifying its cascade mechanism as analogous to energy cascades in turbulence and renormalization flows. New progress clarifies that spike persistence can be rigorously justified under compressibility and dissipation conditions rather than assumed, and outlines a pathway to connect the theory to quantum field structures and the Standard Model via Hilbert space decompositions and entanglement-driven geometry.We previously creating an effective framework for solving the curse of dimensionality by incorporating infinite dimensions, but further analytics showed there were still areas being "Bypassed" so we came up with framework to represent Beyond Infinity Version (2.0) of our work provides a fully solved and runnable framework for the Curse of Dimensionality (COD), building on the original infinite-dimensional latent template. Significant updates include: Explicit incorporation of three layers of dimensionality: Finite dimensions: Standard high-dimensional vectors, with simulated stochastic dynamics (SDEs). Infinite dimensions: Hilbert/function-space embeddings that stabilize distances and norms, mitigating volume growth. Beyond-infinity dimensions: A meta-layer encoding correlations, hierarchical structure, and emergent latent manifolds, fully bypassing the curse. Solved stochastic differential equations (SDEs) in finite and infinite spaces, with an explicit pushforward stationary distribution in beyond-infinity space. Runnable Python template: Users can simulate SDEs, map data to infinite dimensions, and compute the beyond-infinity representation, producing numerical results and visualizations for all three layers. Illustrative plots and examples: Trajectories in finite, infinite, and beyond-infinity spaces, demonstrating how the curse is effectively broken. This 2.0 update ensures that the framework is fully operational, numerically verifiable, and ready for computational experiments, making it a substantial improvement over the original abstract/infinite-dimensional template. Keywords: Curse of Dimensionality, High-Dimensional Systems, Hilbert Space, Beyond-Infinity, Stochastic Differential Equations, Pushforward Measure, Computational Framework, Python Template

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 5%
Quantum many-body systems
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