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November 19, 2025 10:36
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| # Algebraic Geometry | |
| Algebraic geometry is a branch of mathematics that studies solutions to algebraic equations and their geometric properties. | |
| ## Summary of Recent Research Papers | |
| 1. **Equiresidual Algebraic Geometry I: The Affine Theory (2019)** by Jean Barbet | |
| - This work generalizes classical algebraic geometry to non-algebraically closed fields. | |
| - It develops equiresidual algebraic geometry (EQAG), which works over any commutative field. | |
| - Key concepts include normic forms, a generalization of Hilbert's Nullstellensatz, and special kinds of algebras and radicals that connect to model-theoretic algebraic geometry. | |
| - The theory connects with scheme theory through a novel notion of a prime spectrum. | |
| 2. **Machine Learning Algebraic Geometry for Physics (2022)** by Jiakang Bao et al. | |
| - Reviews machine learning applications in algebraic geometry and physics. | |
| - Algebraic geometry problems can be reformulated as tensor mappings, enabling supervised and unsupervised learning techniques. | |
| - The paper addresses how AI can assist in doing mathematics through learning geometrical structures. | |
| 3. **Algorithms in Real Algebraic Geometry: A Survey (2014)** by Saugata Basu | |
| - Surveys algorithmic developments in real algebraic geometry, including effective quantifier elimination and computing topological invariants of semi-algebraic sets. | |
| - Discusses complexity aspects and computational hardness of problems in real algebraic geometry. | |
| - Covers numerical approaches such as semi-definite programming alongside exact algorithms. | |
| ## Relevant Papers | |
| - Jean Barbet, "Equiresidual algebraic geometry I: The affine theory," 2019. [PDF](https://arxiv.org/pdf/1912.00347v3) | |
| - Jiakang Bao, Yang-Hui He, Elli Heyes, Edward Hirst, "Machine Learning Algebraic Geometry for Physics," 2022. [PDF](https://arxiv.org/pdf/2204.10334v1) | |
| - Saugata Basu, "Algorithms in Real Algebraic Geometry: A Survey," 2014. [PDF](https://arxiv.org/pdf/1409.1534v1) | |
| This summary provides a glimpse into different facets of algebraic geometry research including foundational theory, computational techniques, and newer interdisciplinary approaches involving AI and machine learning. |
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