2012
DOI: 10.1017/cbo9781139107846
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Introduction to Vassiliev Knot Invariants

Abstract: With hundreds of worked examples, exercises and illustrations, this detailed exposition of the theory of Vassiliev knot invariants opens the field to students with little or no knowledge in this area. It also serves as a guide to more advanced material. The book begins with a basic and informal introduction to knot theory, giving many examples of knot invariants before the class of Vassiliev invariants is introduced. This is followed by a detailed study of the algebras of Jacobi diagrams and 3-graphs, and the … Show more

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Cited by 176 publications
(136 citation statements)
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“…It is conjectured that knots can be fully classified by Vassiliev's finite type invariants (Vassiliev 1990;Bar-Natan 1995b;Chmutov et al 2012). See Sect.…”
Section: Unknotmentioning
confidence: 99%
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“…It is conjectured that knots can be fully classified by Vassiliev's finite type invariants (Vassiliev 1990;Bar-Natan 1995b;Chmutov et al 2012). See Sect.…”
Section: Unknotmentioning
confidence: 99%
“…Hardness results are known for the knot genus (Agol et al 2006;Lackenby 2016) and for the Jones polynomial (Jaeger et al 1990;Aharonov et al 2009;Kuperberg 2009). Other invariants such as the Alexander-Conway polynomial and finite type invariants are computable in polynomial time (Alexander 1928;Bar-Natan 1995a;Chmutov et al 2012). Many such algorithms are implemented in software packages, such as SnapPy (Culler et al 2016), KnotTheory (Bar-Natan et al 2016b) and KnotScape (Hoste and Thistlethwaite 2016).…”
Section: Computational Aspectsmentioning
confidence: 99%
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“…The quantities α m,n (K) are the primary Vassiliev invariants [35], which are rational(!) numbers, naturally represented either as modifications of the Gauss linking integrals in the Lorentz gauge ∂ µ A µ = 0 [36], or as the Kontsevich integrals [32] in the holomorphic gauge Az = 0, or through the writhe numbers [37] in the temporal gauge A 0 = 0.…”
Section: Representation Through Vassiliev Invariants and Kontsevich Imentioning
confidence: 99%