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.
For real and , one useful representation is
It turns large-order asymptotics into a Laplace integral with a moving maximum.
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.
Watson lemma states that if
and the Laplace integral has suitable growth control away from zero, then
The Taylor series of the amplitude is
Termwise application of Watson lemma therefore gives the asymptotic expansion
In particular, the leading asymptotic approximation is .