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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 smallIndeed, 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&ndash;148
}}.
 
[[Category:Lemmas]]
[[Category:Asymptotic analysis]]

Latest revision as of 20:04, 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 0<T be fixed. Assume ϕ(t)=tλg(t), where g(t) has an infinite number of derivatives in the neighborhood of t=0, with g(0)0, and λ>1.

Suppose, in addition, either that

|ϕ(t)|<Kebtt>0,

where K,b are independent of t, or that

0T|ϕ(t)|dt<.

Then, it is true that for all positive x that

|0Textϕ(t)dt|<

and that the following asymptotic equivalence holds:

0Textϕ(t)dtn=0g(n)(0)Γ(λ+n+1)n!xλ+n+1,(x>0,x).

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 |ϕ(t)| has at most exponential growth as t. The basic idea behind the proof is that we will approximate g(t) by finitely many terms of its Taylor series. Since the derivatives of g 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 0<T and suppose that ϕ is a measurable function of the form ϕ(t)=tλg(t), where λ>1 and g has an infinite number of continuous derivatives in the interval [0,δ] for some 0<δ<T, and that |ϕ(t)|Kebt for all δtT, where the constants K and b are independent of t.

We can show that the integral is finite for x large enough by writing

(1)0Textϕ(t)dt=0δextϕ(t)dt+δTextϕ(t)dt

and estimating each term.

For the first term we have

|0δextϕ(t)dt|0δext|ϕ(t)|dt0δ|ϕ(t)|dt

for x0, where the last integral is finite by the assumptions that g is continuous on the interval [0,δ] and that λ>1. For the second term we use the assumption that ϕ is exponentially bounded to see that, for x>b,

|δTextϕ(t)dt|δText|ϕ(t)|dtKδTe(bx)tdtKδe(bx)tdt=Ke(bx)δxb.

The finiteness of the original integral then follows from applying the triangle inequality to (1).

We can deduce from the above calculation that

(2)0Textϕ(t)dt=0δextϕ(t)dt+O(x1eδx)

as x.

By appealing to Taylor's theorem with remainder we know that, for each integer N0,

g(t)=n=0Ng(n)(0)n!tn+g(N+1)(t*)(N+1)!tN+1

for 0tδ, where 0t*t. Plugging this in to the first term in (2) we get

(3)0δextϕ(t)dt=0δexttλg(t)dt=n=0Ng(n)(0)n!0δtλ+nextdt+1(N+1)!0δg(N+1)(t*)tλ+N+1extdt.

To bound the term involving the remainder we use the assumption that g(N+1) is continuous on the interval [0,δ], and in particular it is bounded there. As such we see that

|0δg(N+1)(t*)tλ+N+1extdt|supt[0,δ]|g(N+1)(t)|0δtλ+N+1extdt<supt[0,δ]|g(N+1)(t)|0tλ+N+1extdt=supt[0,δ]|g(N+1)(t)|Γ(λ+N+2)xλ+N+2.

Here we have used the fact that

0taextdt=Γ(a+1)xa+1

if x>0 and a>1, where Γ is the gamma function.

From the above calculation we see from (3) that

(4)0δextϕ(t)dt=n=0Ng(n)(0)n!0δtλ+nextdt+O(xλN2)

as x.

We will now add the tails on to each integral in (4). For each n we have

0δtλ+nextdt=0tλ+nextdtδtλ+nextdt=Γ(λ+n+1)xλ+n+1δtλ+nextdt,

and we will show that the remaining integrals are exponentially small. Indeed, if we make the change of variables t=s+δ we get

δtλ+nextdt=0(s+δ)λ+nex(s+δ)ds=eδx0(s+δ)λ+nexsdseδx0(s+δ)λ+nesds

for x1, so that

0δtλ+nextdt=Γ(λ+n+1)xλ+n+1+O(eδx)

as x.

If we substitute this last result into (4) we find that

0δextϕ(t)dt=n=0Ng(n)(0)Γ(λ+n+1)n!xλ+n+1+O(eδx)+O(xλN2)=n=0Ng(n)(0)Γ(λ+n+1)n!xλ+n+1+O(xλN2)

as x. Finally, substituting this into (2) we conclude that

0Textϕ(t)dt=n=0Ng(n)(0)Γ(λ+n+1)n!xλ+n+1+O(xλN2)+O(x1eδx)=n=0Ng(n)(0)Γ(λ+n+1)n!xλ+n+1+O(xλN2)

as x.

Since this last expression is true for each integer N0 we have thus shown that

0Textϕ(t)dtn=0g(n)(0)Γ(λ+n+1)n!xλ+n+1

as x, where the infinite series is interpreted as an asymptotic expansion of the integral in question.

Example

When 0<a<b, the confluent hypergeometric function of the first kind has the integral representation

1F1(a,b,x)=Γ(b)Γ(a)Γ(ba)01extta1(1t)ba1dt,

where Γ is the gamma function. The change of variables t=1s puts this into the form

1F1(a,b,x)=Γ(b)Γ(a)Γ(ba)ex01exs(1s)a1sba1ds,

which is now amenable to the use of Watson's lemma. Taking λ=ba1 and g(s)=(1s)a1, Watson's lemma tells us that

01exs(1s)a1sba1dsΓ(ba)xabas x with x>0,

which allows us to conclude that

1F1(a,b,x)Γ(b)Γ(a)xabexas x with x>0.

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    To achieve the very best outcomes, you must be always updated on market situations, including past transaction information and reliable projections. You could review and examine comparable homes that are currently available in the market, especially these which have been sold or not bought up to now six months. You'll be able to see a pattern of such report by clicking here It's essential to defend yourself in opposition to unscrupulous patrons. They are often very skilled in using highly unethical and manipulative techniques to try and lure you into a lure. That you must also protect your self, your loved ones, and personal belongings as you'll be serving many strangers in your home. Sign a listing itemizing of all of the objects provided by the proprietor, together with their situation. HSR Prime Recruiter 2010.