Simple counterexample on integral asymptotics

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Let
$$
I_1(N)=int_-infty^infty dx f(x)g_N(x)
$$
and
$$
I_2(N)=int_-infty^infty dx f(x)h_N(x)
$$
be two well-defined and finite integrals depending on a parameter $N$. Assume that $g_N(x)sim h_N(x)$ for large $N$, meaning that for all $xinmathbbR$, $lim_Ntoinftyg_N(x)/h_N(x)=1$.



Can you exhibit the simplest counterexample to show that the statement
$$
I_1(N)sim I_2(N)
$$
for large $N$ may be untrue [that is to say, one cannot naively replace (part of) the integrand with its large-$N$ asymptotics to obtain the large-$N$ asymptotics of the full integral]?










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    Let
    $$
    I_1(N)=int_-infty^infty dx f(x)g_N(x)
    $$
    and
    $$
    I_2(N)=int_-infty^infty dx f(x)h_N(x)
    $$
    be two well-defined and finite integrals depending on a parameter $N$. Assume that $g_N(x)sim h_N(x)$ for large $N$, meaning that for all $xinmathbbR$, $lim_Ntoinftyg_N(x)/h_N(x)=1$.



    Can you exhibit the simplest counterexample to show that the statement
    $$
    I_1(N)sim I_2(N)
    $$
    for large $N$ may be untrue [that is to say, one cannot naively replace (part of) the integrand with its large-$N$ asymptotics to obtain the large-$N$ asymptotics of the full integral]?










    share|cite|improve this question























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      Let
      $$
      I_1(N)=int_-infty^infty dx f(x)g_N(x)
      $$
      and
      $$
      I_2(N)=int_-infty^infty dx f(x)h_N(x)
      $$
      be two well-defined and finite integrals depending on a parameter $N$. Assume that $g_N(x)sim h_N(x)$ for large $N$, meaning that for all $xinmathbbR$, $lim_Ntoinftyg_N(x)/h_N(x)=1$.



      Can you exhibit the simplest counterexample to show that the statement
      $$
      I_1(N)sim I_2(N)
      $$
      for large $N$ may be untrue [that is to say, one cannot naively replace (part of) the integrand with its large-$N$ asymptotics to obtain the large-$N$ asymptotics of the full integral]?










      share|cite|improve this question













      Let
      $$
      I_1(N)=int_-infty^infty dx f(x)g_N(x)
      $$
      and
      $$
      I_2(N)=int_-infty^infty dx f(x)h_N(x)
      $$
      be two well-defined and finite integrals depending on a parameter $N$. Assume that $g_N(x)sim h_N(x)$ for large $N$, meaning that for all $xinmathbbR$, $lim_Ntoinftyg_N(x)/h_N(x)=1$.



      Can you exhibit the simplest counterexample to show that the statement
      $$
      I_1(N)sim I_2(N)
      $$
      for large $N$ may be untrue [that is to say, one cannot naively replace (part of) the integrand with its large-$N$ asymptotics to obtain the large-$N$ asymptotics of the full integral]?







      asymptotics improper-integrals






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      asked Jan 11 at 14:18









      Pierpaolo Vivo

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          This can be done using sequences $g_N, h_N$ that converge pointwise to the same function, but not uniformly in $x$. Here are a few examples.




          1. A simple way is to consider a constant sequence of Gaussian functions,
            and a sequence of "moving" Gaussians,



            $$f(x)=1$$ $$g_N(x)=frac1sqrt2pimathrme^-fracx^22$$ $$h_N(x)=frac1sqrt2pimathrme^-fracx^22+frac1sqrt2pimathrme^-frac(x-N)^22$$
            which leads to $I_1=1$, $I_2=2$ ($N$-independent).




          2. Another similar example, which technically does not satisfy the
            convergence hypothesis in $x=0$, but could be interesting, has to do
            with the Dirac measure: take $f$ and $g_N$ same as above, and



            $$h_N(x)=frac1sqrt2pimathrme^-fracx^22+sqrtfracN2pimathrme^-Nfracx^22.$$ Again, $I_1=1$, $I_2=2$, while
            $lim_Ntoinftyg_N(x)/h_N(x)=1;forall xneq0$.




          3. Finally, consider
            $$f(x)=theta(x),$$
            $$g_N(x)=mathrme^-N x,$$
            $$h_N(x)=logleft(1+mathrme^-N xright).$$



            Then $I_1=1/N$, $I_2=pi^2/(12 N)$. Naively (wrongly) using the asymptotics for $h_N$ in the integral gives you the right scaling, but with the wrong coefficient. Note again that this does not satisfy your hypothesis at $x=0$.







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            up vote
            0
            down vote













            This can be done using sequences $g_N, h_N$ that converge pointwise to the same function, but not uniformly in $x$. Here are a few examples.




            1. A simple way is to consider a constant sequence of Gaussian functions,
              and a sequence of "moving" Gaussians,



              $$f(x)=1$$ $$g_N(x)=frac1sqrt2pimathrme^-fracx^22$$ $$h_N(x)=frac1sqrt2pimathrme^-fracx^22+frac1sqrt2pimathrme^-frac(x-N)^22$$
              which leads to $I_1=1$, $I_2=2$ ($N$-independent).




            2. Another similar example, which technically does not satisfy the
              convergence hypothesis in $x=0$, but could be interesting, has to do
              with the Dirac measure: take $f$ and $g_N$ same as above, and



              $$h_N(x)=frac1sqrt2pimathrme^-fracx^22+sqrtfracN2pimathrme^-Nfracx^22.$$ Again, $I_1=1$, $I_2=2$, while
              $lim_Ntoinftyg_N(x)/h_N(x)=1;forall xneq0$.




            3. Finally, consider
              $$f(x)=theta(x),$$
              $$g_N(x)=mathrme^-N x,$$
              $$h_N(x)=logleft(1+mathrme^-N xright).$$



              Then $I_1=1/N$, $I_2=pi^2/(12 N)$. Naively (wrongly) using the asymptotics for $h_N$ in the integral gives you the right scaling, but with the wrong coefficient. Note again that this does not satisfy your hypothesis at $x=0$.







            share|cite|improve this answer


























              up vote
              0
              down vote













              This can be done using sequences $g_N, h_N$ that converge pointwise to the same function, but not uniformly in $x$. Here are a few examples.




              1. A simple way is to consider a constant sequence of Gaussian functions,
                and a sequence of "moving" Gaussians,



                $$f(x)=1$$ $$g_N(x)=frac1sqrt2pimathrme^-fracx^22$$ $$h_N(x)=frac1sqrt2pimathrme^-fracx^22+frac1sqrt2pimathrme^-frac(x-N)^22$$
                which leads to $I_1=1$, $I_2=2$ ($N$-independent).




              2. Another similar example, which technically does not satisfy the
                convergence hypothesis in $x=0$, but could be interesting, has to do
                with the Dirac measure: take $f$ and $g_N$ same as above, and



                $$h_N(x)=frac1sqrt2pimathrme^-fracx^22+sqrtfracN2pimathrme^-Nfracx^22.$$ Again, $I_1=1$, $I_2=2$, while
                $lim_Ntoinftyg_N(x)/h_N(x)=1;forall xneq0$.




              3. Finally, consider
                $$f(x)=theta(x),$$
                $$g_N(x)=mathrme^-N x,$$
                $$h_N(x)=logleft(1+mathrme^-N xright).$$



                Then $I_1=1/N$, $I_2=pi^2/(12 N)$. Naively (wrongly) using the asymptotics for $h_N$ in the integral gives you the right scaling, but with the wrong coefficient. Note again that this does not satisfy your hypothesis at $x=0$.







              share|cite|improve this answer
























                up vote
                0
                down vote










                up vote
                0
                down vote









                This can be done using sequences $g_N, h_N$ that converge pointwise to the same function, but not uniformly in $x$. Here are a few examples.




                1. A simple way is to consider a constant sequence of Gaussian functions,
                  and a sequence of "moving" Gaussians,



                  $$f(x)=1$$ $$g_N(x)=frac1sqrt2pimathrme^-fracx^22$$ $$h_N(x)=frac1sqrt2pimathrme^-fracx^22+frac1sqrt2pimathrme^-frac(x-N)^22$$
                  which leads to $I_1=1$, $I_2=2$ ($N$-independent).




                2. Another similar example, which technically does not satisfy the
                  convergence hypothesis in $x=0$, but could be interesting, has to do
                  with the Dirac measure: take $f$ and $g_N$ same as above, and



                  $$h_N(x)=frac1sqrt2pimathrme^-fracx^22+sqrtfracN2pimathrme^-Nfracx^22.$$ Again, $I_1=1$, $I_2=2$, while
                  $lim_Ntoinftyg_N(x)/h_N(x)=1;forall xneq0$.




                3. Finally, consider
                  $$f(x)=theta(x),$$
                  $$g_N(x)=mathrme^-N x,$$
                  $$h_N(x)=logleft(1+mathrme^-N xright).$$



                  Then $I_1=1/N$, $I_2=pi^2/(12 N)$. Naively (wrongly) using the asymptotics for $h_N$ in the integral gives you the right scaling, but with the wrong coefficient. Note again that this does not satisfy your hypothesis at $x=0$.







                share|cite|improve this answer














                This can be done using sequences $g_N, h_N$ that converge pointwise to the same function, but not uniformly in $x$. Here are a few examples.




                1. A simple way is to consider a constant sequence of Gaussian functions,
                  and a sequence of "moving" Gaussians,



                  $$f(x)=1$$ $$g_N(x)=frac1sqrt2pimathrme^-fracx^22$$ $$h_N(x)=frac1sqrt2pimathrme^-fracx^22+frac1sqrt2pimathrme^-frac(x-N)^22$$
                  which leads to $I_1=1$, $I_2=2$ ($N$-independent).




                2. Another similar example, which technically does not satisfy the
                  convergence hypothesis in $x=0$, but could be interesting, has to do
                  with the Dirac measure: take $f$ and $g_N$ same as above, and



                  $$h_N(x)=frac1sqrt2pimathrme^-fracx^22+sqrtfracN2pimathrme^-Nfracx^22.$$ Again, $I_1=1$, $I_2=2$, while
                  $lim_Ntoinftyg_N(x)/h_N(x)=1;forall xneq0$.




                3. Finally, consider
                  $$f(x)=theta(x),$$
                  $$g_N(x)=mathrme^-N x,$$
                  $$h_N(x)=logleft(1+mathrme^-N xright).$$



                  Then $I_1=1/N$, $I_2=pi^2/(12 N)$. Naively (wrongly) using the asymptotics for $h_N$ in the integral gives you the right scaling, but with the wrong coefficient. Note again that this does not satisfy your hypothesis at $x=0$.








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                edited Sep 3 at 21:20

























                answered Sep 3 at 13:29









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