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Landscapes and Their Correlation Functions

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  • Peter F. Stadler

Abstract

Fitness landscapes are an important concept in molecular evolution. Many important examples of landscapes in physics and combinatorial optimization, which are widely used as model landscapes in simulations of molecular evolution and adaptation, are "elementary," i.e., they are (up to an additive constant) eigenfunctions of a graph Laplacian. It is shown that elementary landscapes are characterized by their correlation functions. The correlation functions are in turn uniquely determined by the geometry of the underlying configuration space and the nearest neighbor correlation of the elementary landscape. Two types of correlation functions are investigated here: the correlation of a time series sampled along a random walk on the landscape and the correlation function with respect to a partition of the set of all vertex pairs.

Suggested Citation

  • Peter F. Stadler, 1995. "Landscapes and Their Correlation Functions," Working Papers 95-07-067, Santa Fe Institute.
    • Handle: RePEc:wop:safiwp:95-07-067
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    Cited by:

    1. Barbel Krakhofer & Peter F. Stadler, 1996. "Local Minima in the Graph Bipartitioning Problem," Working Papers 96-02-005, Santa Fe Institute.
    2. Peter F. Stadler & Robert Happel, 1995. "Random Field Models for Fitness Landscapes," Working Papers 95-07-069, Santa Fe Institute.
    3. Peter F. Stadler & Barbel Krakhofer, 1995. "Local Minima of p-Spin Models," Working Papers 95-09-076, Santa Fe Institute.

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