Exponential Approximation












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I was recently reading a text book on random walk. In the proof of a local central limit theorem the book used the following step: $e^{-2k^2/(n+k)} = e^{-2k^2/n} space exp{frac{2k^3}{n^2} +O(frac{k^4}{n^3})}$. And similarly, there is: $(1-frac{k^2}{n^2})^{-1/2} = exp{O(frac{1}{n}+frac{k^4}{n^3})}$, and the latter case is deduced using the fact that $k^2/n^2 leq max{(1/n),(k^4/n^3)}$. I think the expanding of complex logarithm with power series is used in both cases, but I'm still quite confused how these equalities are deduced.

Could anyone help me with it?



The big O notation above is defined as follows:"write $f(n,x) = g(n,x) +O(h(n))$ to mean that there exists a constant c such that for all n $|f(n,x)-g(n,x)| leq c|h(n)|$, where c denotes a positive constant depending on the increment distribution"










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    $begingroup$


    I was recently reading a text book on random walk. In the proof of a local central limit theorem the book used the following step: $e^{-2k^2/(n+k)} = e^{-2k^2/n} space exp{frac{2k^3}{n^2} +O(frac{k^4}{n^3})}$. And similarly, there is: $(1-frac{k^2}{n^2})^{-1/2} = exp{O(frac{1}{n}+frac{k^4}{n^3})}$, and the latter case is deduced using the fact that $k^2/n^2 leq max{(1/n),(k^4/n^3)}$. I think the expanding of complex logarithm with power series is used in both cases, but I'm still quite confused how these equalities are deduced.

    Could anyone help me with it?



    The big O notation above is defined as follows:"write $f(n,x) = g(n,x) +O(h(n))$ to mean that there exists a constant c such that for all n $|f(n,x)-g(n,x)| leq c|h(n)|$, where c denotes a positive constant depending on the increment distribution"










    share|cite|improve this question











    $endgroup$















      1












      1








      1





      $begingroup$


      I was recently reading a text book on random walk. In the proof of a local central limit theorem the book used the following step: $e^{-2k^2/(n+k)} = e^{-2k^2/n} space exp{frac{2k^3}{n^2} +O(frac{k^4}{n^3})}$. And similarly, there is: $(1-frac{k^2}{n^2})^{-1/2} = exp{O(frac{1}{n}+frac{k^4}{n^3})}$, and the latter case is deduced using the fact that $k^2/n^2 leq max{(1/n),(k^4/n^3)}$. I think the expanding of complex logarithm with power series is used in both cases, but I'm still quite confused how these equalities are deduced.

      Could anyone help me with it?



      The big O notation above is defined as follows:"write $f(n,x) = g(n,x) +O(h(n))$ to mean that there exists a constant c such that for all n $|f(n,x)-g(n,x)| leq c|h(n)|$, where c denotes a positive constant depending on the increment distribution"










      share|cite|improve this question











      $endgroup$




      I was recently reading a text book on random walk. In the proof of a local central limit theorem the book used the following step: $e^{-2k^2/(n+k)} = e^{-2k^2/n} space exp{frac{2k^3}{n^2} +O(frac{k^4}{n^3})}$. And similarly, there is: $(1-frac{k^2}{n^2})^{-1/2} = exp{O(frac{1}{n}+frac{k^4}{n^3})}$, and the latter case is deduced using the fact that $k^2/n^2 leq max{(1/n),(k^4/n^3)}$. I think the expanding of complex logarithm with power series is used in both cases, but I'm still quite confused how these equalities are deduced.

      Could anyone help me with it?



      The big O notation above is defined as follows:"write $f(n,x) = g(n,x) +O(h(n))$ to mean that there exists a constant c such that for all n $|f(n,x)-g(n,x)| leq c|h(n)|$, where c denotes a positive constant depending on the increment distribution"







      complex-analysis logarithms power-series taylor-expansion random-walk






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      edited Nov 24 '18 at 1:47







      Homeomorphism

















      asked Nov 24 '18 at 1:40









      HomeomorphismHomeomorphism

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          Consider $$a_n=e^{-frac{2 k^2}{k+n}}implies log(a_n)=-frac{2 k^2}{k+n}$$ Now, if $n gg k$, use Taylor expansion
          $$log(a_n)=-frac{2 k^2}{n}+frac{2 k^3}{n^2}+Oleft(frac{1}{n^3}right)$$ Exponentiate to get
          $$a_n=e^{-frac{2 k^2}{n}}expleft(frac{2 k^3}{n^2}+Oleft(frac{1}{n^3}right) right)$$






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            $begingroup$

            Consider $$a_n=e^{-frac{2 k^2}{k+n}}implies log(a_n)=-frac{2 k^2}{k+n}$$ Now, if $n gg k$, use Taylor expansion
            $$log(a_n)=-frac{2 k^2}{n}+frac{2 k^3}{n^2}+Oleft(frac{1}{n^3}right)$$ Exponentiate to get
            $$a_n=e^{-frac{2 k^2}{n}}expleft(frac{2 k^3}{n^2}+Oleft(frac{1}{n^3}right) right)$$






            share|cite|improve this answer









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              0












              $begingroup$

              Consider $$a_n=e^{-frac{2 k^2}{k+n}}implies log(a_n)=-frac{2 k^2}{k+n}$$ Now, if $n gg k$, use Taylor expansion
              $$log(a_n)=-frac{2 k^2}{n}+frac{2 k^3}{n^2}+Oleft(frac{1}{n^3}right)$$ Exponentiate to get
              $$a_n=e^{-frac{2 k^2}{n}}expleft(frac{2 k^3}{n^2}+Oleft(frac{1}{n^3}right) right)$$






              share|cite|improve this answer









              $endgroup$
















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                $begingroup$

                Consider $$a_n=e^{-frac{2 k^2}{k+n}}implies log(a_n)=-frac{2 k^2}{k+n}$$ Now, if $n gg k$, use Taylor expansion
                $$log(a_n)=-frac{2 k^2}{n}+frac{2 k^3}{n^2}+Oleft(frac{1}{n^3}right)$$ Exponentiate to get
                $$a_n=e^{-frac{2 k^2}{n}}expleft(frac{2 k^3}{n^2}+Oleft(frac{1}{n^3}right) right)$$






                share|cite|improve this answer









                $endgroup$



                Consider $$a_n=e^{-frac{2 k^2}{k+n}}implies log(a_n)=-frac{2 k^2}{k+n}$$ Now, if $n gg k$, use Taylor expansion
                $$log(a_n)=-frac{2 k^2}{n}+frac{2 k^3}{n^2}+Oleft(frac{1}{n^3}right)$$ Exponentiate to get
                $$a_n=e^{-frac{2 k^2}{n}}expleft(frac{2 k^3}{n^2}+Oleft(frac{1}{n^3}right) right)$$







                share|cite|improve this answer












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                share|cite|improve this answer










                answered Nov 26 '18 at 10:19









                Claude LeiboviciClaude Leibovici

                119k1157132




                119k1157132






























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