Vol. 239, No. 1, 2009

Download this article
Download this article. For screen
For printing
Recent Issues
Vol. 332: 1  2
Vol. 331: 1  2
Vol. 330: 1  2
Vol. 329: 1  2
Vol. 328: 1  2
Vol. 327: 1  2
Vol. 326: 1  2
Vol. 325: 1  2
Online Archive
Volume:
Issue:
     
The Journal
About the journal
Ethics and policies
Peer-review process
 
Submission guidelines
Submission form
Editorial board
Officers
 
Subscriptions
 
ISSN 1945-5844 (electronic)
ISSN 0030-8730 (print)
 
Special Issues
Author index
To appear
 
Other MSP journals
The Thurston norm via normal surfaces

Daryl Cooper and Stephan Tillmann

Vol. 239 (2009), No. 1, 1–15
Abstract

Given a triangulation of a closed, oriented, irreducible, atoroidal 3-manifold every oriented, incompressible surface may be isotoped into normal position relative to the triangulation. Such a normal oriented surface is then encoded by nonnegative integer weights, 14 for each 3-simplex, that describe how many copies of each oriented normal disc type there are. The Euler characteristic and homology class are both linear functions of the weights. There is a convex polytope in the space of weights, defined by linear equations given by the combinatorics of the triangulation, whose image under the homology map is the unit ball, , of the Thurston norm.

Applications of this approach include (1) an algorithm to compute and hence the Thurston norm of any homology class, (2) an explicit exponential bound on the number of vertices of in terms of the number of simplices in the triangulation, (3) an algorithm to determine the fibred faces of and hence an algorithm to decide whether a 3-manifold fibres over the circle.

Keywords
3-manifold, Thurston norm, triangulation, normal surface
Mathematical Subject Classification 2000
Primary: 57N10, 57M25
Milestones
Received: 23 October 2007
Revised: 12 August 2008
Accepted: 2 September 2008
Published: 1 January 2009
Authors
Daryl Cooper
Department of Mathematics
University of California
Santa Barbara, CA 93106
United States
Stephan Tillmann
Department of Mathematics and Statistics
The University of Melbourne
Melbourne VIC 3010
Australia