On The Algebraic Characterization of Aperiodic Tilings Related To ADE-Root Systems

Physics – High Energy Physics – High Energy Physics - Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

29 pages LaTex, 2 figures not included (they may be send upon request), BONN-HE-92-26

Scientific paper

\noindent The algebraic characterization of classes of locally isomorphic aperiodic tilings, being examples of quantum spaces, is conducted for a certain type of tilings in a manner proposed by A. Connes. These $2$-dimensional tilings are obtained by application of the strip method to the root lattice of an $ADE$-Coxeter group. The plane along which the strip is constructed is determined by the canonical Coxeter element leading to the result that a $2$-dimensional tiling decomposes into a cartesian product of two $1$-dimensional tilings. The properties of the tilings are investigated, including selfsimilarity, and the determination of the relevant algebraic invariant is considered, namely the ordered $K_0$-group of an algebra naturally assigned to the quantum space. The result also yields an application of the $2$-dimensional abstract gap labelling theorem.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

On The Algebraic Characterization of Aperiodic Tilings Related To ADE-Root Systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with On The Algebraic Characterization of Aperiodic Tilings Related To ADE-Root Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On The Algebraic Characterization of Aperiodic Tilings Related To ADE-Root Systems will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-529694

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.