Maximal dispersion of adaptive random walks

HIGHLIGHTS

• who: Gabriele Di Bona from the SchoolQueen Mary University of London, London , NS, England have published the paper: Maximal dispersion of adaptive random walks, in the Journal: (JOURNAL) of 30/Dec/2022
• what: The authors focus on a particular dynamic observable that characterises the entropic content of a random walk trajectory, 1 ln kX. n=1 n Cn= Indeed, apart from boundary terms that do not influence the discussion , Cn is the logarithm of the probability of URW trajectory divided by the number of time steps n. To construct ARW, the authors develop here an . . .
  

   

  

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