Simple counterexample on integral asymptotics
Clash Royale CLAN TAG#URR8PPP
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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]?
asymptotics improper-integrals
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up vote
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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]?
asymptotics improper-integrals
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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]?
asymptotics improper-integrals
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
asymptotics improper-integrals
asked Jan 11 at 14:18
Pierpaolo Vivo
5,0992623
5,0992623
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1 Answer
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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.
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).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
$lim_Ntoinftyg_N(x)/h_N(x)=1;forall xneq0$.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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1 Answer
1
active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
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).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
$lim_Ntoinftyg_N(x)/h_N(x)=1;forall xneq0$.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 $x=0$.
add a comment |Â
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.
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).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
$lim_Ntoinftyg_N(x)/h_N(x)=1;forall xneq0$.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 $x=0$.
add a comment |Â
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.
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).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
$lim_Ntoinftyg_N(x)/h_N(x)=1;forall xneq0$.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 $x=0$.
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.
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).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
$lim_Ntoinftyg_N(x)/h_N(x)=1;forall xneq0$.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 $x=0$.
edited Sep 3 at 21:20
answered Sep 3 at 13:29
fqq
27717
27717
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