Laplace's method is a technique used to approximate integrals of the form
∫ a b e M f ( x ) d x \int_{a}^{b}e^{Mf(x)}\ dx ∫ a b e M f ( x ) d x
where M M M is a large constant and f ( x ) f(x) f ( x ) is a twice-differentiable function with a unique global maximum. a a a and b b b may be infinite.
Laplace's method can be generalized to work on path integrals over the complex plane. This generalization is known as the saddle point method .
Theory#
Call x 0 x_{0} x 0 the global maximum of f ( x ) f(x) f ( x ) . We can Taylor expand f ( x ) f(x) f ( x ) around that point and stop at the second order
f ( x ) ≃ f ( x 0 ) + f ′ ( x 0 ) ( x − x 0 ) + 1 2 f ′ ′ ( x 0 ) ( x − x 0 ) 2 f(x)\simeq f(x_{0})+f'(x_{0})(x-x_{0})+ \frac{1}{2}f''(x_{0})(x-x_{0})^{2} f ( x ) ≃ f ( x 0 ) + f ′ ( x 0 ) ( x − x 0 ) + 2 1 f ′′ ( x 0 ) ( x − x 0 ) 2
but since x 0 x_{0} x 0 is a stationary point , f ′ ( x 0 ) = 0 f'(x_{0})=0 f ′ ( x 0 ) = 0 , so we get
f ( x ) ≃ f ( x 0 ) + 1 2 f ′ ′ ( x 0 ) ( x − x 0 ) 2 f(x)\simeq f(x_{0})+ \frac{1}{2}f''(x_{0})(x-x_{0})^{2} f ( x ) ≃ f ( x 0 ) + 2 1 f ′′ ( x 0 ) ( x − x 0 ) 2
Since x 0 x_{0} x 0 is a maximum, in that point we have f ′ ′ ( x 0 ) ≤ 0 f''(x_{0})\leq 0 f ′′ ( x 0 ) ≤ 0 . For points in the neighborhood of x 0 x_{0} x 0 , we can approximately state
f ( x ) ≃ f ( x 0 ) − 1 2 ∣ f ′ ′ ( x 0 ) ∣ ( x − x 0 ) 2 f(x)\simeq f(x_{0})- \frac{1}{2}|f''(x_{0})|(x-x_{0})^{2} f ( x ) ≃ f ( x 0 ) − 2 1 ∣ f ′′ ( x 0 ) ∣ ( x − x 0 ) 2
If we plug this in the integral we get
∫ a b e M f ( x ) d x ≃ e M f ( x 0 ) ∫ a b e − 1 2 M ∣ f ′ ′ ( x 0 ) ∣ ( x − x 0 ) 2 d x \int_{a}^{b}e^{Mf(x)}\ dx\simeq e^{Mf(x_{0})}\int_{a}^{b}e^{- \frac{1}{2}M|f''(x_{0})|(x-x_{0})^{2}}\ dx ∫ a b e M f ( x ) d x ≃ e M f ( x 0 ) ∫ a b e − 2 1 M ∣ f ′′ ( x 0 ) ∣ ( x − x 0 ) 2 d x
If we replace a a a and b b b with − ∞ -\infty − ∞ and + ∞ +\infty + ∞ (if they weren't already) as if M M M is large, the integral far from x 0 x_{0} x 0 is almost zero, so there is little difference. Doing so makes it into a Gaussian integral (an integral of a function like e − x 2 e^{-x^{2}} e − x 2 ), which can be solved as
∫ a b e M f ( x ) d x ≃ 2 π M ∣ f ′ ′ ( x 0 ) ∣ e M f ( x 0 ) \boxed{\int_{a}^{b}e^{Mf(x)}\ dx\simeq \sqrt{ \frac{2\pi}{M|f''(x_{0})|} }e^{Mf(x_{0})}} ∫ a b e M f ( x ) d x ≃ M ∣ f ′′ ( x 0 ) ∣ 2 π e M f ( x 0 )
which becomes more and more precise as M → ∞ M\to \infty M → ∞ .