There are two positive roots for : the derivative of is , so the function decreases to its minimum at and then increases. Negative cannot solve the equation. For the larger root, expansion of the exponential function in gives
so series reversion yields
For the smaller root, set and take a logarithm. Then , so successive substitution gives and
These are the first two nonzero terms of the two asymptotic expansions. Equivalently, the roots are and , from the real branches of Lambert W.
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. Details.
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
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.
At , the endpoint is degenerate: . The contributing width is therefore , rather than the width in part (i). With , the formula for a degenerate endpoint in Laplace's method gives
The coefficient is a Gamma function value obtained by the Gamma integral.

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