INVARIANTS AND PICTURES: LOW-DIMENSIONAL TOPOLOGY AND COMBINATORIAL GROUP THEORY PDF

INVARIANTS AND PICTURES: LOW-DIMENSIONAL TOPOLOGY AND COMBINATORIAL GROUP THEORY PDF

Name:
INVARIANTS AND PICTURES: LOW-DIMENSIONAL TOPOLOGY AND COMBINATORIAL GROUP THEORY PDF

Published Date:
04/22/2020

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[ Active ]

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Publisher:
World Scientific Publishing Co.

Document status:
Active

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Electronic (PDF)

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10 minutes

Delivery time (for Russian version):
200 business days

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ISBN: 9789811220111

This book contains an in-depth overview of the current state of the recently emerged and rapidly growing theory of Gnk groups, picture-valued invariants, and braids for arbitrary manifolds. Equivalence relations arising in low-dimensional topology and combinatorial group theory inevitably lead to the study of invariants, and good invariants should be strong and apparent. An interesting case of such invariants is picture-valued invariants, whose values are not algebraic objects, but geometrical constructions, like graphs or polyhedra.

In 2015, V O Manturov defined a two-parametric family of groups Gnk and formulated the following principle: if dynamical systems describing a motion of n particles possess a nice codimension 1 property governed by exactly k particles then these dynamical systems possess topological invariants valued in Gnk.

The book is devoted to various realisations and generalisations of this principle in the broad sense. The groups Gnk have many epimorphisms onto free products of cyclic groups; hence, invariants constructed from them are powerful enough and easy to compare. However, this construction does not work when we try to deal with points on a 2-surface, since there may be infinitely many geodesics passing through two points. That leads to the notion of another family of groups — Γnk, which give rise to braids on arbitrary manifolds yielding invariants of arbitrary manifolds.

Authors: Vassily Olegovich Manturov, Denis Fedoseev, Seongjeong Kim, Igor Nikonov


Edition : 20
File Size : 1 file , 10 MB
Number of Pages : 387
Published : 04/22/2020
isbn : 9789811220111

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