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In mathematics, '''Watson's lemma''', proved by [[G. N. Watson]] (1918, p. 133), has significant application within the theory on the [[asymptotic behavior]] of [[integral]]s. | |||
== Statement of the lemma == | |||
Let <math>0 < T \leq \infty</math> be fixed. Assume <math>\phi(t)=t^\lambda\,g(t)</math>, where <math>g(t)</math> has an infinite number of derivatives in the neighborhood of <math>t=0</math>, with <math>g(0)\neq 0</math>, and <math>\lambda > -1</math>. | |||
Suppose, in addition, either that | |||
:<math>|\phi(t)| < Ke^{bt} \ \forall t>0,</math> | |||
where <math>K,b</math> are independent of <math>t</math>, or that | |||
:<math>\int_0^T |\phi(t)|\, dt < \infty.</math> | |||
Then, it is true that for all positive <math>x</math> that | |||
:<math>\left|\int_0^T e^{-x t}\phi(t)\, dt\right| < \infty</math> | |||
and that the following [[asymptotic equivalence]] holds: | |||
:<math>\int_0^T e^{-x t}\phi(t)\, dt \sim\ \sum_{n=0}^\infty \frac{g^{(n)}(0)\ \Gamma(\lambda+n+1)}{n!\ x^{\lambda+n+1}},\ \ (x>0,\ x\rightarrow \infty).</math> | |||
See, for instance, {{harvtxt|Watson|1918}} for the original proof or {{harvtxt|Miller|2006}} for a more recent development. | |||
== Proof == | |||
We will prove the version of Watson's lemma which assumes that <math>|\phi(t)|</math> has at most exponential growth as <math>t \to \infty</math>. The basic idea behind the proof is that we will approximate <math>g(t)</math> by finitely many terms of its Taylor series. Since the derivatives of <math>g</math> are only assumed to exist in a neighborhood of the origin, we will essentially proceed by removing the tail of the integral, applying [[Taylor's theorem#Explicit formulae for the remainder|Taylor's theorem with remainder]] in the remaining small interval, then adding the tail back on in the end. At each step we will carefully estimate how much we are throwing away or adding on. This proof is a modification of the one found in {{harvtxt|Miller|2006}}. | |||
Let <math>0 < T \leq \infty</math> and suppose that <math>\phi</math> is a measurable function of the form <math>\phi(t) = t^\lambda g(t)</math>, where <math>\lambda > -1</math> and <math>g</math> has an infinite number of continuous derivatives in the interval <math>[0,\delta]</math> for some <math>0 < \delta < T</math>, and that <math>|\phi(t)| \leq Ke^{bt}</math> for all <math>\delta \leq t \leq T</math>, where the constants <math>K</math> and <math>b</math> are independent of <math>t</math>. | |||
We can show that the integral is finite for <math>x</math> large enough by writing | |||
:<math>(1) \quad \int_0^T e^{-xt}\phi(t)\,dt = \int_0^\delta e^{-xt}\phi(t)\,dt + \int_\delta^T e^{-xt}\phi(t)\,dt</math> | |||
and estimating each term. | |||
For the first term we have | |||
:<math>\left|\int_0^\delta e^{-xt}\phi(t)\,dt\right| \leq \int_0^\delta e^{-xt}|\phi(t)|\,dt \leq \int_0^\delta |\phi(t)|\,dt</math> | |||
for <math>x \geq 0</math>, where the last integral is finite by the assumptions that <math>g</math> is continuous on the interval <math>[0,\delta]</math> and that <math>\lambda > -1</math>. For the second term we use the assumption that <math>\phi</math> is exponentially bounded to see that, for <math>x > b</math>, | |||
:<math>\begin{align} | |||
\left|\int_\delta^T e^{-xt}\phi(t)\,dt\right| &\leq \int_\delta^T e^{-xt}|\phi(t)|\,dt \\ | |||
&\leq K \int_\delta^T e^{(b-x)t}\,dt \\ | |||
&\leq K \int_\delta^\infty e^{(b-x)t}\,dt \\ | |||
&= K \, \frac{e^{(b-x)\delta}}{x-b}. | |||
\end{align}</math> | |||
The finiteness of the original integral then follows from applying the triangle inequality to <math>(1)</math>. | |||
We can deduce from the above calculation that | |||
:<math>(2) \quad \int_0^T e^{-xt}\phi(t)\,dt = \int_0^\delta e^{-xt}\phi(t)\,dt + O\left(x^{-1} e^{-\delta x}\right)</math> | |||
as <math>x \to \infty</math>. | |||
By appealing to [[Taylor's theorem#Explicit formulae for the remainder|Taylor's theorem with remainder]] we know that, for each integer <math>N \geq 0</math>, | |||
:<math>g(t) = \sum_{n=0}^{N} \frac{g^{(n)}(0)}{n!}\,t^n + \frac{g^{(N+1)}(t^*)}{(N+1)!}\,t^{N+1}</math> | |||
for <math>0 \leq t \leq \delta</math>, where <math>0 \leq t^* \leq t</math>. Plugging this in to the first term in <math>(2)</math> we get | |||
:<math>\begin{align} | |||
(3) \quad \int_0^\delta e^{-xt} \phi(t)\,dt &= \int_0^\delta e^{-xt} t^\lambda g(t)\,dt \\ | |||
&= \sum_{n=0}^{N} \frac{g^{(n)}(0)}{n!} \int_0^\delta t^{\lambda + n} e^{-xt}\,dt + \frac{1}{(N+1)!} \int_0^\delta g^{(N+1)}(t^*)\, t^{\lambda+N+1} e^{-xt}\,dt. | |||
\end{align}</math> | |||
To bound the term involving the remainder we use the assumption that <math>g^{(N+1)}</math> is continuous on the interval <math>[0,\delta]</math>, and in particular it is bounded there. As such we see that | |||
:<math>\begin{align} | |||
\left|\int_0^\delta g^{(N+1)}(t^*)\, t^{\lambda+N+1} e^{-xt}\,dt\right| &\leq \sup_{t \in [0,\delta]} \left|g^{(N+1)}(t)\right| \int_0^\delta t^{\lambda+N+1} e^{-xt}\,dt \\ | |||
&< \sup_{t \in [0,\delta]} \left|g^{(N+1)}(t)\right| \int_0^\infty t^{\lambda+N+1} e^{-xt}\,dt \\ | |||
&= \sup_{t \in [0,\delta]} \left|g^{(N+1)}(t)\right| \,\frac{\Gamma(\lambda + N + 2)}{x^{\lambda+N+2}}. | |||
\end{align}</math> | |||
Here we have used the fact that | |||
:<math>\int_0^\infty t^a e^{-xt}\,dt = \frac{\Gamma(a+1)}{x^{a+1}}</math> | |||
if <math>x > 0</math> and <math>a > -1</math>, where <math>\Gamma</math> is the [[gamma function]]. | |||
From the above calculation we see from <math>(3)</math> that | |||
:<math>(4) \quad \int_0^\delta e^{-xt} \phi(t)\,dt = \sum_{n=0}^{N} \frac{g^{(n)}(0)}{n!} \int_0^\delta t^{\lambda + n} e^{-xt}\,dt + O\left(x^{-\lambda-N-2}\right)</math> | |||
as <math>x \to \infty</math>. | |||
We will now add the tails on to each integral in <math>(4)</math>. For each <math>n</math> we have | |||
:<math>\begin{align} | |||
\int_0^\delta t^{\lambda + n} e^{-xt}\,dt &= \int_0^\infty t^{\lambda + n} e^{-xt}\,dt - \int_\delta^\infty t^{\lambda + n} e^{-xt}\,dt \\ | |||
&= \frac{\Gamma(\lambda+n+1)}{x^{\lambda+n+1}} - \int_\delta^\infty t^{\lambda + n} e^{-xt}\,dt, | |||
\end{align}</math> | |||
and we will show that the remaining integrals are exponentially small. Indeed, if we make the change of variables <math>t = s + \delta</math> we get | |||
:<math>\begin{align} | |||
\int_\delta^\infty t^{\lambda + n} e^{-xt}\,dt &= \int_0^\infty (s+\delta)^{\lambda + n} e^{-x(s+\delta)}\,ds \\ | |||
&= e^{-\delta x} \int_0^\infty (s+\delta)^{\lambda + n} e^{-xs}\,ds \\ | |||
&\leq e^{-\delta x} \int_0^\infty (s+\delta)^{\lambda + n} e^{-s}\,ds | |||
\end{align}</math> | |||
for <math>x \geq 1</math>, so that | |||
:<math>\int_0^\delta t^{\lambda + n} e^{-xt}\,dt = \frac{\Gamma(\lambda+n+1)}{x^{\lambda+n+1}} + O\left(e^{-\delta x}\right)</math> | |||
as <math>x \to \infty</math>. | |||
If we substitute this last result into <math>(4)</math> we find that | |||
:<math>\begin{align} | |||
\int_0^\delta e^{-xt} \phi(t)\,dt &= \sum_{n=0}^{N} \frac{g^{(n)}(0) \ \Gamma(\lambda+n+1)}{n! \ x^{\lambda+n+1}} + O\left(e^{-\delta x}\right) + O\left(x^{-\lambda-N-2}\right) \\ | |||
&= \sum_{n=0}^{N} \frac{g^{(n)}(0) \ \Gamma(\lambda+n+1)}{n! \ x^{\lambda+n+1}} + O\left(x^{-\lambda-N-2}\right) | |||
\end{align}</math> | |||
as <math>x \to \infty</math>. Finally, substituting this into <math>(2)</math> we conclude that | |||
:<math>\begin{align} | |||
\int_0^T e^{-xt}\phi(t)\,dt &= \sum_{n=0}^{N} \frac{g^{(n)}(0) \ \Gamma(\lambda+n+1)}{n! \ x^{\lambda+n+1}} + O\left(x^{-\lambda-N-2}\right) + O\left(x^{-1} e^{-\delta x}\right) \\ | |||
&= \sum_{n=0}^{N} \frac{g^{(n)}(0) \ \Gamma(\lambda+n+1)}{n! \ x^{\lambda+n+1}} + O\left(x^{-\lambda-N-2}\right) | |||
\end{align}</math> | |||
as <math>x \to \infty</math>. | |||
Since this last expression is true for each integer <math>N \geq 0</math> we have thus shown that | |||
:<math>\int_0^T e^{-xt}\phi(t)\,dt \sim \sum_{n=0}^{\infty} \frac{g^{(n)}(0) \ \Gamma(\lambda+n+1)}{n! \ x^{\lambda+n+1}}</math> | |||
as <math>x \to \infty</math>, where the infinite series is interpreted as an [[asymptotic expansion]] of the integral in question. | |||
== Example == | |||
When <math>0 < a < b</math>, the [[confluent hypergeometric function]] of the first kind has the integral representation | |||
:<math>{}_1F_1(a,b,x) = \frac{\Gamma(b)}{\Gamma(a) \Gamma(b-a)}\int_0^1 e^{xt} t^{a-1} (1-t)^{b-a-1}\,dt,</math> | |||
where <math>\Gamma</math> is the [[gamma function]]. The change of variables <math>t = 1-s</math> puts this into the form | |||
:<math>{}_1F_1(a,b,x) = \frac{\Gamma(b)}{\Gamma(a) \Gamma(b-a)}\,e^x\int_0^1 e^{-xs} (1-s)^{a-1} s^{b-a-1}\,ds,</math> | |||
which is now amenable to the use of Watson's lemma. Taking <math>\lambda = b-a-1</math> and <math>g(s) = (1-s)^{a-1}</math>, Watson's lemma tells us that | |||
:<math>\int_0^1 e^{-xs} (1-s)^{a-1} s^{b-a-1}\,ds \sim \Gamma(b-a) x^{a-b} \quad \text{as } x \to \infty \text{ with } x > 0,</math> | |||
which allows us to conclude that | |||
:<math> {}_1F_1(a,b,x) \sim \frac{\Gamma(b)}{\Gamma(a)}\,x^{a-b} e^x \quad \text{as } x \to \infty \text{ with } x > 0.</math> | |||
== References == | |||
*{{Citation | |||
| last=Miller | |||
| first=P.D. | |||
| year=2006 | |||
| title=Applied Asymptotic Analysis | |||
| publisher=American Mathematical Society | |||
| place=Providence, RI | |||
| pages=467 | |||
| isbn=978-0-8218-4078-8 | |||
}}. | |||
*{{Citation | |||
| last=Watson | |||
| first=G. N. | |||
| year=1918 | |||
| title=The harmonic functions associated with the parabolic cylinder | |||
| periodical=Proceedings of the London Mathematical Society | |||
| volume=2 | |||
| issue=17 | |||
| pages=116–148 | |||
}}. | |||
[[Category:Lemmas]] | |||
[[Category:Asymptotic analysis]] |
Latest revision as of 19:04, 11 October 2013
In mathematics, Watson's lemma, proved by G. N. Watson (1918, p. 133), has significant application within the theory on the asymptotic behavior of integrals.
Statement of the lemma
Let be fixed. Assume , where has an infinite number of derivatives in the neighborhood of , with , and .
Suppose, in addition, either that
where are independent of , or that
Then, it is true that for all positive that
and that the following asymptotic equivalence holds:
See, for instance, Template:Harvtxt for the original proof or Template:Harvtxt for a more recent development.
Proof
We will prove the version of Watson's lemma which assumes that has at most exponential growth as . The basic idea behind the proof is that we will approximate by finitely many terms of its Taylor series. Since the derivatives of are only assumed to exist in a neighborhood of the origin, we will essentially proceed by removing the tail of the integral, applying Taylor's theorem with remainder in the remaining small interval, then adding the tail back on in the end. At each step we will carefully estimate how much we are throwing away or adding on. This proof is a modification of the one found in Template:Harvtxt.
Let and suppose that is a measurable function of the form , where and has an infinite number of continuous derivatives in the interval for some , and that for all , where the constants and are independent of .
We can show that the integral is finite for large enough by writing
and estimating each term.
For the first term we have
for , where the last integral is finite by the assumptions that is continuous on the interval and that . For the second term we use the assumption that is exponentially bounded to see that, for ,
The finiteness of the original integral then follows from applying the triangle inequality to .
We can deduce from the above calculation that
By appealing to Taylor's theorem with remainder we know that, for each integer ,
for , where . Plugging this in to the first term in we get
To bound the term involving the remainder we use the assumption that is continuous on the interval , and in particular it is bounded there. As such we see that
Here we have used the fact that
if and , where is the gamma function.
From the above calculation we see from that
We will now add the tails on to each integral in . For each we have
and we will show that the remaining integrals are exponentially small. Indeed, if we make the change of variables we get
If we substitute this last result into we find that
as . Finally, substituting this into we conclude that
Since this last expression is true for each integer we have thus shown that
as , where the infinite series is interpreted as an asymptotic expansion of the integral in question.
Example
When , the confluent hypergeometric function of the first kind has the integral representation
where is the gamma function. The change of variables puts this into the form
which is now amenable to the use of Watson's lemma. Taking and , Watson's lemma tells us that
which allows us to conclude that
References
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