Spanning forests and the golden ratio

For a graph G, let f"i"j be the number of spanning rooted forests in which vertex j belongs to a tree rooted at i. In this paper, we show that for a path, the f"i"j's can be expressed as the products of Fibonacci numbers; for a cycle, they are products of Fibonacci and Lucas numbers. The doubly stochastic graph matrix is the matrix F=(f"i"j)"n"x"n/f, where f is the total number of spanning rooted forests of G and n is the number of vertices in G. F provides a proximity measure for graph vertices. By the matrix forest theorem, F^-^1=I+L, where L is the Laplacian matrix of G. We show that for the paths and the so-called T-caterpillars, some diagonal entries of F (which provide a measure of the self-connectivity of vertices) converge to @f^-^1 or to 1-@f^-^1, where @f is the golden ratio, as the number of vertices goes to infinity. Thereby, in the asymptotic, the corresponding vertices can be metaphorically considered as ''golden introverts'' and ''golden extroverts,'' respectively. This metaphor is reinforced by a Markov chain interpretation of the doubly stochastic graph matrix, according to which F equals the overall transition matrix of a random walk with a random number of steps on G.

[1]  B. R. Myers On Spanning Trees, Weighted Compositions, Fibonacci Numbers, and Resistor Networks , 1975 .

[2]  B. Myers Number of spanning trees in a wheel , 1971 .

[3]  V. Mowery Fibonacci Numbers and Tchebycheff Polynomials in Ladder Networks , 1961 .

[4]  Pavel Yu. Chebotarev,et al.  The Forest Metrics for Graph Vertices , 2002, Electron. Notes Discret. Math..

[5]  Xiaodong Zhang A note on doubly stochastic graph matrices , 2005 .

[6]  Helmut Prodinger,et al.  Spanning tree formulas and chebyshev polynomials , 1986, Graphs Comb..

[7]  François Fouss,et al.  Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation , 2007, IEEE Transactions on Knowledge and Data Engineering.

[8]  P. Chebotarev,et al.  Forest Matrices Around the Laplaeian Matrix , 2002, math/0508178.

[9]  Pavel Yu. Chebotarev,et al.  On Proximity Measures for Graph Vertices , 2006, ArXiv.

[10]  V. E. Golender,et al.  Graph potentials method and its application for chemical information processing , 1981, Journal of chemical information and computer sciences.

[11]  Arthur T. Benjamin,et al.  Combinatorial Interpretations of Spanning Tree Identities , 2006 .

[12]  Pavel Yu. Chebotarev,et al.  Matrices of Forests and the Analysis of Digraphs , 2005, ArXiv.

[13]  Pavel Yu. Chebotarev,et al.  The Matrix-Forest Theorem and Measuring Relations in Small Social Groups , 2006, ArXiv.

[14]  Jean Pedersen,et al.  Fibonacci and Lucas Numbers , 1997 .

[15]  Xiao-Dong Zhang,et al.  Doubly stochastic matrices of trees , 2005, Appl. Math. Lett..

[16]  S. Chaiken A Combinatorial Proof of the All Minors Matrix Tree Theorem , 1982 .

[17]  Pavel Yu. Chebotarev,et al.  Spanning Forests of a Digraph and Their Applications , 2001, ArXiv.

[18]  A. Morgan-Voyce,et al.  Ladder-Network Analysis Using Fibonacci Numbers , 1959 .

[19]  Yuanping Zhang,et al.  Chebyshev polynomials and spanning tree formulas for circulant and related graphs , 2005, Discret. Math..

[20]  V. Hoggatt Fibonacci and Lucas Numbers , 2020, Mathematics of Harmony as a New Interdisciplinary Direction and “Golden” Paradigm of Modern Science.

[21]  A. Stoimenow WHEEL GRAPHS, LUCAS NUMBERS AND THE DETERMINANT OF A KNOT , 2000 .

[22]  Russell Merris,et al.  Doubly stochastic graph matrices, II , 1998 .