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1. • CommentRowNumber1.
   • CommentAuthorUrs
   • CommentTimeApr 17th 2021
   • PermaLink
   Author: Urs
   Format: MarkdownItexfor completeness, to go alongside *[[Kendall distance]]* <a href="https://ncatlab.org/nlab/revision/Cayley+distance/1">v1</a>, <a href="https://ncatlab.org/nlab/show/Cayley+distance">current</a>

   for completeness, to go alongside Kendall distance

   v1, current

2. • CommentRowNumber2.
   • CommentAuthorUrs
   • CommentTimeApr 18th 2021
   • PermaLink
   Author: Urs
   Format: MarkdownItexadded statement and proof of Cayley's formula $$ d_C(\sigma_1, \sigma_2) \;=\; n - \left\vert Cycles\big( \sigma_1 \circ \sigma_2^{-1} \big) \right\vert $$ <a href="https://ncatlab.org/nlab/revision/diff/Cayley+distance/2">diff</a>, <a href="https://ncatlab.org/nlab/revision/Cayley+distance/2">v2</a>, <a href="https://ncatlab.org/nlab/show/Cayley+distance">current</a>

   added statement and proof of Cayley’s formula

   $$d_C(\sigma_1, \sigma_2) \;=\; n - \left\vert Cycles\big( \sigma_1 \circ \sigma_2^{-1} \big) \right\vert$$

   diff, v2, current

3. • CommentRowNumber3.
   • CommentAuthorUrs
   • CommentTimeApr 18th 2021
   • PermaLink
   Author: Urs
   Format: MarkdownItexadded pointer to: * [[M. A. Fligner]], [[J. S. Verducci]], Section 4 of: *Distance Based Ranking Models*, Journal of the Royal Statistical Society. Series B (Methodological) Vol. 48, No. 3 (1986), pp. 359-369 ([jstor:2345433](https://www.jstor.org/stable/2345433)) (one of the few references that I found so far which do at least consider the "Cayley distance kernel" $\exp(-d_C(-,-,))$ ) <a href="https://ncatlab.org/nlab/revision/diff/Cayley+distance/2">diff</a>, <a href="https://ncatlab.org/nlab/revision/Cayley+distance/2">v2</a>, <a href="https://ncatlab.org/nlab/show/Cayley+distance">current</a>

   added pointer to:

   • M. A. Fligner, J. S. Verducci, Section 4 of: Distance Based Ranking Models, Journal of the Royal Statistical Society. Series B (Methodological) Vol. 48, No. 3 (1986), pp. 359-369 (jstor:2345433)

   (one of the few references that I found so far which do at least consider the “Cayley distance kernel” $\exp(-d_C(-,-,))$ )

   diff, v2, current

4. • CommentRowNumber4.
   • CommentAuthorUrs
   • CommentTimeApr 18th 2021
   • PermaLink
   Author: Urs
   Format: MarkdownItexalso added pointer to * [[Michael A. Fligner]], [[Joseph S. Verducci]] (eds.), *Probability Models and Statistical Analyses for Ranking Data* ([doi:10.1007/978-1-4612-2738-0](https://link.springer.com/book/10.1007/978-1-4612-2738-0)) which mentions the Cayley-distance kernel at least in the forword as the "only reasonable bi-invariant distance". <a href="https://ncatlab.org/nlab/revision/diff/Cayley+distance/3">diff</a>, <a href="https://ncatlab.org/nlab/revision/Cayley+distance/3">v3</a>, <a href="https://ncatlab.org/nlab/show/Cayley+distance">current</a>

   also added pointer to

   • Michael A. Fligner, Joseph S. Verducci (eds.), Probability Models and Statistical Analyses for Ranking Data (doi:10.1007/978-1-4612-2738-0)

   which mentions the Cayley-distance kernel at least in the forword as the “only reasonable bi-invariant distance”.

   diff, v3, current

5. • CommentRowNumber5.
   • CommentAuthorUrs
   • CommentTimeApr 19th 2021
   • (edited Apr 19th 2021)
   • PermaLink
   Author: Urs
   Format: MarkdownItexadded pointer to: * [[Persi Diaconis]], [[Phil Hanlon]], Section 4 of: *Eigen Analysis for Some Examples of the Metropolis Algorithm*, in Donald Richards (ed.) *Hypergeometric Functions on Domains of Positivity, Jack Polynomials, and Applications*, Contemporary Mathematics Vol. 138, AMS 1992 ([doi:10.1090/conm/138](http://dx.doi.org/10.1090/conm/138), [EFS NSF 392](https://statistics.stanford.edu/research/eigen-analysis-some-examples-metropolis-algorithm), [pdf](https://statweb.stanford.edu/~cgates/PERSI/papers/eigen-metalg.pdf)) <a href="https://ncatlab.org/nlab/revision/diff/Cayley+distance/4">diff</a>, <a href="https://ncatlab.org/nlab/revision/Cayley+distance/4">v4</a>, <a href="https://ncatlab.org/nlab/show/Cayley+distance">current</a>

   added pointer to:

   • Persi Diaconis, Phil Hanlon, Section 4 of: Eigen Analysis for Some Examples of the Metropolis Algorithm, in Donald Richards (ed.) Hypergeometric Functions on Domains of Positivity, Jack Polynomials, and Applications, Contemporary Mathematics Vol. 138, AMS 1992 (doi:10.1090/conm/138, EFS NSF 392, pdf)

   diff, v4, current

6. • CommentRowNumber6.
   • CommentAuthorUrs
   • CommentTimeApr 19th 2021
   • PermaLink
   Author: Urs
   Format: MarkdownItexadded pointer to: * Thaynara Arielly de Lima; Mauricio Ayala-Rincón, *Complexity of Cayley distance and other general metrics on permutation groups* ([doi:10.1109/ColombianCC.2012.6398020](https://doi.org/10.1109/ColombianCC.2012.6398020), [pdf](https://www.mat.unb.br/ayala/shortw4v2.pdf)) <a href="https://ncatlab.org/nlab/revision/diff/Cayley+distance/4">diff</a>, <a href="https://ncatlab.org/nlab/revision/Cayley+distance/4">v4</a>, <a href="https://ncatlab.org/nlab/show/Cayley+distance">current</a>

   added pointer to:

   • Thaynara Arielly de Lima; Mauricio Ayala-Rincón, Complexity of Cayley distance and other general metrics on permutation groups (doi:10.1109/ColombianCC.2012.6398020, pdf)

   diff, v4, current

7. • CommentRowNumber7.
   • CommentAuthorUrs
   • CommentTimeApr 20th 2021
   • PermaLink
   Author: Urs
   Format: MarkdownItexadded the example ([here](https://ncatlab.org/nlab/show/Cayley+distance#CayleyDistanceOnSym3)) of the Cayley distance function on $Sym(3)$ <a href="https://ncatlab.org/nlab/revision/diff/Cayley+distance/6">diff</a>, <a href="https://ncatlab.org/nlab/revision/Cayley+distance/6">v6</a>, <a href="https://ncatlab.org/nlab/show/Cayley+distance">current</a>

   added the example (here) of the Cayley distance function on $Sym(3)$

   diff, v6, current

8. • CommentRowNumber8.
   • CommentAuthorUrs
   • CommentTimeApr 24th 2021
   • PermaLink
   Author: Urs
   Format: MarkdownItexI have made explicit ([here](https://ncatlab.org/nlab/show/Cayley+distance#CayleyDistancePreservedByInclusionOfSymmetricGroups)) the following immediate and elementary but important fact: Cayley distance is preserved under the canonical inclusions of [[symmetric groups]] $$ Sym(n) \overset{ i }{ \hookrightarrow } Sym(n+1) \hookrightarrow Sym(n+2) \hookrightarrow \cdots $$ in that $$ d_C( \sigma_1, \sigma_2 ) \; = \; d_C\big( i(\sigma_1), i(\sigma_2) \big) \,. $$ In other words, when regarding the [[metric space]] given by the set of permutations in $Sym(n)$ with their Cayley distance function between them * as an $(\mathbb{R}_{\geq 0}, \geq)$0-[[enriched category]], then the [[functors]] induced by the inclusions are [[fully faithful functor|fully faithful]] and hence are [[full subcategory]] inclusions. * as a [[matrix]], then the inclusions correspond to [[principal submatrices]]. <a href="https://ncatlab.org/nlab/revision/diff/Cayley+distance/14">diff</a>, <a href="https://ncatlab.org/nlab/revision/Cayley+distance/14">v14</a>, <a href="https://ncatlab.org/nlab/show/Cayley+distance">current</a>

   I have made explicit (here) the following immediate and elementary but important fact:

   Cayley distance is preserved under the canonical inclusions of symmetric groups

   $$Sym(n) \overset{ i }{ \hookrightarrow } Sym(n+1) \hookrightarrow Sym(n+2) \hookrightarrow \cdots$$

   in that

   $$d_C( \sigma_1, \sigma_2 ) \; = \; d_C\big( i(\sigma_1), i(\sigma_2) \big) \,.$$

   In other words, when regarding the metric space given by the set of permutations in $Sym(n)$ with their Cayley distance function between them

   • as an $(\mathbb{R}_{\geq 0}, \geq)$0-enriched category, then the functors induced by the inclusions are fully faithful and hence are full subcategory inclusions.

   • as a matrix, then the inclusions correspond to principal submatrices.

   diff, v14, current