Arnold's spectral sequence

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In mathematics, Arnold's spectral sequence (also spelled Arnol'd) is a spectral sequence used in singularity theory and normal form theory as an efficient computational tool for reducing a function to canonical form near critical points. It was introduced by Vladimir Arnold in 1975. [1] [2] [3]

Definition

Arnold's spectral sequence is a computational tool in singularity theory for reducing a function to its canonical or normal form near a critical point. Introduced by Vladimir Arnold in 1975, it analyzes the structure of singularities by using a spectral sequence built from differential forms with singularities.[ citation needed ]

Overview of the spectral sequence

The spectral sequence is constructed on the space of differential forms associated with the function's critical points. The key components are:

By taking successive homology operations, the spectral sequence converges to the desired invariants of the singularity, allowing for its reduction to a simpler, canonical form. [4] [5]

References

  1. Arnol'd, V. I. (1979). "Spectral sequence for reduction of functions to normal form". Functional Analysis and Its Applications. 9 (3): 251–253. doi:10.1007/BF01075605.
  2. Goryunov, Victor; Lippner, Gabor (2008). "Simple framed curve singularities". Geometry and topology of caustics. Banach Center Publications. pp. 85–100. doi:10.4064/bc82-0-6.
  3. Gazor, Majid; Yu, Pei (January 2012). "Spectral sequences and parametric normal forms". Journal of Differential Equations. 252 (2): 1003–1031. arXiv: 1103.3891 . Bibcode:2012JDE...252.1003G. doi:10.1016/j.jde.2011.09.043.
  4. Zhang, Wei; Sun, Tiecheng; Wang, Sen; Cheng, Qing; Haala, Norbert (February 2024). "HI-SLAM: Monocular Real-Time Dense Mapping With Hybrid Implicit Fields". IEEE Robotics and Automation Letters. 9 (2): 1548–1555. arXiv: 2310.04787 . Bibcode:2024IRAL....9.1548Z. doi:10.1109/lra.2023.3347131.
  5. Selick, P. (2006). "Spectral Sequences". Encyclopedia of Mathematical Physics. pp. 623–633. doi:10.1016/B0-12-512666-2/00417-X. ISBN   978-0-12-512666-3.