For a Laplace integral with local phase , , an interior minimum approaches the endpoint as . The distinguished limit is , . With , its leading local integral is
The cubic Laplace transition integral joins the ordinary endpoint estimate for positive , the cubic endpoint estimate at zero, and the interior Laplace's method estimate for negative . Separate fixed-parameter formulas fail to be uniform when the minimum is within its own width of the endpoint.
The integral is a rescaled Scorer Hi function. It has the three useful limits
For the negative-argument limit, scale and use the dominated convergence theorem. At zero, substitute and use the Gamma integral. For the positive-argument limit, the exponent has its maximum at , with second derivative ; Laplace's method gives the displayed factor. These estimates describe a cubic endpoint-to-saddle transition.
Discrete Laplace method Created 2026-09-28 Updated 2026-10-05
The discrete Laplace method estimates a sum whose positive terms concentrate near the maximum of a smooth exponent. When the Gaussian concentration width contains asymptotically many lattice points, the sum is a Riemann-sum version of Laplace's method with the corresponding lattice-spacing factor.
If a Laplace integral has finitely many separated nondegenerate global maxima with the same phase value, its leading term is the sum of their local Gaussian contributions. An interior maximum contributes a full Gaussian integral, while a stationary endpoint maximum contributes half of one.
The stationary points of the exponent are and , because . The first is a local maximum with and ; the second is a local minimum. Also
so the endpoint overtakes the interior maximum only when .
For fixed , the upper endpoint is the unique maximum. Linearizing the exponent there gives the Laplace endpoint estimate . At , only half of the local Gaussian integral is included. For , the whole Gaussian near contributes. At an endpoint has the same exponential height, but its prefactor is , smaller than the interior prefactor. For , the endpoint has strictly greater height and dominates.
Consequently all fixed- regimes are
The estimate follows from Laplace's method; the tail toward negative infinity is exponentially harmless since the cubic tends to negative infinity.
Use the real integral representation of the modified Bessel function of the second kind
The unique stationary point is the strict maximum
The Laplace approximation is consequently
For fixed , as ,
Substitution gives the required large-order asymptotic of the modified Bessel function of the second kind:
The intended integral representation of the modified Bessel function is
Differentiation under the integral sign gives
Since
integration by parts and the vanishing endpoint term yield .
For large positive , Laplace's method localizes the integral near the endpoint . Put and use
Extending the exponentially small tail to infinity and evaluating the resulting Gaussian integrals gives
and therefore
Now write . Direct differentiation gives
so substitution into the ordinary differential equation gives
For the Liouville–Green approximation, put . The two approximate solutions are
so at leading order . The growing solution agrees with the preceding asymptotic expansion, including its leading normalization .
For , the phase has an interior minimum at
The inverse hyperbolic cosine selects the positive stationary point. At this point,
Expanding the phase to second order and evaluating the resulting Gaussian integral by Laplace's method yields
The exponential grows because the minimum of is negative; the original integral remains convergent because dominates at infinity.
Let . For , on the integration interval, so its minimum is the endpoint . The Taylor series is
On the contributing scale , the higher terms are negligible. The endpoint form of Laplace's method, or the Watson lemma, therefore gives
The three fixed- estimates below cease to be uniform as the minimum of the phase approaches the endpoint. For the cubic endpoint-to-saddle transition, write
The Taylor series of the hyperbolic sine gives, for bounded and fixed ,
The cubic term controls the tail, so localization of the Laplace integral gives the uniform leading formula
Here is the cubic Laplace transition integral, equal to in terms of the Scorer Hi function.
To recover the endpoint regime, let . Scale in ; the cubic term becomes negligible and . Therefore
which agrees with part (i) in the overlap . At , the Gamma integral gives , recovering part (iii).
For , set . The exponent has its maximum at , with second derivative . Thus Laplace's method gives
and the transition formula becomes
For with , part (ii) has
Putting reproduces both the exponential and its prefactor. For relative agreement of these leading exponentials, one may use the overlap , which makes . Thus the same transition integral connects all three regimes.
Figure 1.
The cubic endpoint-to-saddle transition
. Direct numerical integration of the original phase approaches the same cubic transition function as the large parameter increases. Negative transition parameter places the minimum inside the interval; positive parameter leaves an ordinary endpoint minimum.
The phase function attains its global maximum on at the stationary endpoint and at the interior point . At either point,
By Laplace's method at a nondegenerate stationary endpoint, the endpoint contributes
By Laplace's method, the interior maximum contributes
The remaining parts of the interval are exponentially smaller. Summing the two contributions according to Laplace's method with multiple global maxima gives
Write . The global maximum of is the nonstationary endpoint , where
Endpoint Laplace's method therefore gives
The second exponential has its maximum at and is only of order , exponentially smaller. Hence