Maximal dispersion of adaptive random walks

HIGHLIGHTS

• who: Gabriele Di Bona from the SchoolQueen Mary University of London, London , NS, England have published the article: 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 . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.