Spiral Information Instability Geometry (SIIG) A Geometric, Non-Biological Framework for Understanding Stability, Drift, and Overgrowth in Helical Information Structures
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901342165925888 |
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| author | Garbar, Iryna |
| author_facet | Garbar, Iryna |
| contents | <p><em>Spiral Information Instability Geometry (SIIG)</em> presents a system-theoretic, entirely non-biological model for analyzing stability and instability in <strong>helical information structures</strong> — such as abstract double helices, pixel spirals, OTA-flow spirals, taxonomic branching spirals, and plasma helices.</p> <p>SIIG does <strong>not</strong> describe DNA, cells, biology, genetics, or any medical process.<br>Instead, it interprets:</p> <ul> <li> <p>helical spirals (e.g., symbolic double helices)</p> </li> <li> <p>spiral overgrowth</p> </li> <li> <p>phase drift</p> </li> <li> <p>loss of resonance</p> </li> <li> <p>expansion instabilities</p> </li> </ul> <p>as <strong>universal geometric and informational phenomena</strong>.</p> <p>The model explains how spiral information structures maintain or lose coherence, how instability can be represented topologically, and how overgrowth emerges in purely mathematical spiral systems.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17861262 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Spiral Information Instability Geometry (SIIG) A Geometric, Non-Biological Framework for Understanding Stability, Drift, and Overgrowth in Helical Information Structures Garbar, Iryna spiral instability information geometry double helix mapping spiral overgrowth geometric phase drift toroidal coupling pattern science multi-scale spiral structures <p><em>Spiral Information Instability Geometry (SIIG)</em> presents a system-theoretic, entirely non-biological model for analyzing stability and instability in <strong>helical information structures</strong> — such as abstract double helices, pixel spirals, OTA-flow spirals, taxonomic branching spirals, and plasma helices.</p> <p>SIIG does <strong>not</strong> describe DNA, cells, biology, genetics, or any medical process.<br>Instead, it interprets:</p> <ul> <li> <p>helical spirals (e.g., symbolic double helices)</p> </li> <li> <p>spiral overgrowth</p> </li> <li> <p>phase drift</p> </li> <li> <p>loss of resonance</p> </li> <li> <p>expansion instabilities</p> </li> </ul> <p>as <strong>universal geometric and informational phenomena</strong>.</p> <p>The model explains how spiral information structures maintain or lose coherence, how instability can be represented topologically, and how overgrowth emerges in purely mathematical spiral systems.</p> |
| title | Spiral Information Instability Geometry (SIIG) A Geometric, Non-Biological Framework for Understanding Stability, Drift, and Overgrowth in Helical Information Structures |
| topic | spiral instability information geometry double helix mapping spiral overgrowth geometric phase drift toroidal coupling pattern science multi-scale spiral structures |
| url | https://doi.org/10.5281/zenodo.17861262 |