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Log canonical threshold of du Val singularities (2312.16187v1)

Published 18 Dec 2023 in math.AG

Abstract: In this paper, we show the log canonical threshold values of the surfaces which has du Val type singularities.These surfaces can be interpreted as statistical or machine learning models. The results of $A_n, D_n, E_6, E_7$ and $E_8$ are shown. Bacause the calculation is done on complex fileld, this result would be different from the real fileld, which is in singular learning theory.

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References (5)
  1. Matthew Farrugia-Roberts. Structural degeneracy in neural networks. Master’s thesis, School of Computing and Information Systems, The University of Melbourne, December 2022.
  2. Nicolas Hemelsoet. Simple lie algebras and singularities. https://gr-tes.epfl.ch/~testerma/doc/projets/HemelsoetPDM.pdf, 2018.
  3. Miles Reid. The du val singularities an,dn,e6,e7,e8subscript𝑎𝑛subscript𝑑𝑛subscript𝑒6subscript𝑒7subscript𝑒8a_{n},d_{n},e_{6},e_{7},e_{8}italic_a start_POSTSUBSCRIPT italic_n end_POSTSUBSCRIPT , italic_d start_POSTSUBSCRIPT italic_n end_POSTSUBSCRIPT , italic_e start_POSTSUBSCRIPT 6 end_POSTSUBSCRIPT , italic_e start_POSTSUBSCRIPT 7 end_POSTSUBSCRIPT , italic_e start_POSTSUBSCRIPT 8 end_POSTSUBSCRIPT. https://homepages.warwick.ac.uk/~masda/surf/more/DuVal.pdf, 2020.
  4. Sumio Watanabe. Algebraic geometry and statistical learning theory, 2009.
  5. Spencer Wong. From analytic to algebraic: The algebraic geometry of two layer neural networks. http://therisingsea.org/notes/MScThesisSpencerWong.pdf, 2022.

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