2020
DOI: 10.1142/s0218216519500937
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Planar diagrams for local invariants of graphs in surfaces

Abstract: In order to apply quantum topology methods to nonplanar graphs, we define a planar diagram category that describes the local topology of embeddings of graphs into surfaces. These virtual graphs are a categorical interpretation of ribbon graphs. We describe an extension of the flow polynomial to virtual graphs, the S-polynomial, and formulate the sl(N ) Penrose polynomial for non-cubic graphs, giving contraction-deletion relations. The S-polynomial is used to define an extension of the Yamada polynomial to virt… Show more

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Cited by 5 publications
(3 citation statements)
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References 33 publications
(75 reference statements)
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“…Arguably, one of the most utilized polynomials to study classical spatial graphs is the Yamada polynomial. There are three polynomials for virtual spatial graphs related to the Yamada polynomial that one can turn into graphoid invariants [8,10,20]. We will focus mainly on Fleming-Mellor's formulation R(G) and Deng-Jin-Kauffman's formulation R(G; A, x).…”
Section: Polynomial Invariantsmentioning
confidence: 99%
“…Arguably, one of the most utilized polynomials to study classical spatial graphs is the Yamada polynomial. There are three polynomials for virtual spatial graphs related to the Yamada polynomial that one can turn into graphoid invariants [8,10,20]. We will focus mainly on Fleming-Mellor's formulation R(G) and Deng-Jin-Kauffman's formulation R(G; A, x).…”
Section: Polynomial Invariantsmentioning
confidence: 99%
“…Very recently, Snyder and Miller [24] defined the notion of a virtual graph (equivalently, cyclic graph) in a topological way. And they define the S-polynomial for virtual graphs which is a little different from (but similar with) our generalized Yamada polynomial for cyclic graphs.…”
Section: Introductionmentioning
confidence: 99%
“…For related studies of spatial graphs, please refer to [9,10,20,21,23,25]. For related studies of virtual spatial graphs, please refer to [4,5,19,22,24].…”
Section: Introductionmentioning
confidence: 99%