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  <a href="search/?q=an%3A0691.60060">Zbl 0691.60060</a><br />                    <a class="meta bold" href="search/?q=ai:bolthausen.erwin">Bolthausen, Erwin</a>            </div>
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  <strong>On self-repellent one-dimensional random walks.<span class="normal"> (English)</span></strong>
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            <a href="journals/?q=an:00001080">Probab. Theory Relat. Fields</a>
             86, No.4, 423-441 (1990).
                              </div>


  <div class="review">
    <p>We consider an ordinary one-dimensional recurrent random walk on <span><math xmlns='http://www.w3.org/1998/Math/MathML'><mi>&#x2124;</mi></math></span>. A self-repellent random walk is defined by changing the ordinary law of the random walk in the following way: A path gets a new relative weight by multiplying the old one with a factor 1-<span><math xmlns='http://www.w3.org/1998/Math/MathML'><mi>&#x3B2;</mi></math></span> for every self intersection of the path. <span><math xmlns='http://www.w3.org/1998/Math/MathML'><mrow><mn>0</mn><mo>&lt;</mo><mi>&#x3B2;</mi><mo>&lt;</mo><mn>1</mn></mrow></math></span> is a parameter.</p> <p>It is shown that if the jump distribution of the random walk has an exponential moment and if <span><math xmlns='http://www.w3.org/1998/Math/MathML'><mi>&#x3B2;</mi></math></span> is small enough then the displacement of the endpoint is asymptotically of the order of the length of the path.</p>
      <div class="right">Reviewer: <a class="meta" href="search/?q=rv:E.Bolthausen">E.Bolthausen</a></div>
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    <strong>MSC 2010</strong>
    <dl class="msc">
      <dt><a class="meta" href="search/?q=cc:60G50">60G50</a></dt>
      <dd>Sums of independent random variables; random walks</dd>
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      <strong>Keywords</strong>
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      <a class="meta" href="search/?q=ut:%22self%20repellent%20random%20walk%22">self-repellent random walk</a>;      <a class="meta" href="search/?q=ut:%22exponential%20moment%22">exponential moment</a>    </div>
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  <div class="reference">
    <strong>References</strong>
    <dl class="reference">
      <dt>[1]</dt>
      <dd>Aldous, D.: Self-intersections of 1-dimensional random walks. Probab. Th. Rel. Fields72, 559?587 (1986) &middot; <a class="meta" href="search/?q=an:0602.60055">Zbl&nbsp;0602.60055</a> &middot; <a href="http://dx.doi.org/10.1007/BF00344721">doi:10.1007/BF00344721</a></dd>
      <dt>[2]</dt>
      <dd>Azencott, R.: Grandes déviations et applications. Lect. Notes Math., vol. 774. Saint-Flour VIII 1978. Berlin Heidelberg New York: Springer 1980</dd>
      <dt>[3]</dt>
      <dd>Kusuoka, S.: Asymptotics of the polymer measure in one dimension. In: Albevesio, S. (ed.) Infinite dimensional analysis and stochastic processes. Sem. Meet. Bielefeld 1983. (Res. Notes Math. 124, Pitman Advanced Publishing Program IX, pp. 66?82) Boston: Pitman 1985</dd>
      <dt>[4]</dt>
      <dd>Mogulskii, A.A.: Large deviations for trajectories of multidimensional random walks. Theory Probab. Appl.21, 300?312 (1976) &middot; <a class="meta" href="search/?q=an:0366.60031">Zbl&nbsp;0366.60031</a> &middot; <a href="http://dx.doi.org/10.1137/1121035">doi:10.1137/1121035</a></dd>
      <dt>[5]</dt>
      <dd>Stroock, D.: An introduction to the theory of large deviations. Berlin Heidelberg New York: Springer 1984</dd>
      <dt>[6]</dt>
      <dd>Westwater, J.: On Edwards' model for long polymer chains. In: Albeverio, S., Blanchard, P. (eds.) Trends and developments in the eighties. Bielefeld encounters in Math. Phys. IV/V 1982/1983 Singapore: World Science 1984</dd>
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