The function is an odd function, passes through , and has the horizontal asymptote at both infinities. Its derivative is
It decreases for and increases for , with its lowest value and highest value . These features determine the graph of a function shown below.
For , the equation is the quadratic equation . The quadratic formula gives exactly two real equation roots:
The binomial series gives , hence the two requested asymptotic expansions are
Their product is exactly one. Both are positive, with ; there are no negative equation roots because for . At the two real equation roots coincide at one, and for there are none. In the stated limit , these two branches are therefore exhaustive.
Figure 1.
Two positive intersections of the rational function with a small positive level
. Original sketch of with the two real equation roots marked for . The curve also shows its negative lowest point and positive highest point. Details.
The power-law ansatz gives
Since , the equation roots and are distinct. The Cauchy-Euler equation therefore has general solution
For , the first derivative and second derivative are
The strictly convex function diverges to as , passes through , and has a unique lowest point at
As , , so the line is an asymptote. When , the lowest point is to the right of one; at it is at one, and for it is to the left of one.
The ratio of the two terms is
Thus is larger for , the terms are equal at , and is larger for . In the stronger asymptotic sense as , dominates at each fixed , and dominates at each fixed . Their crossover has , equivalently , as described by the power-law crossover in a singular perturbation. In that region with bounded gives .
Substitute the proposed regular perturbation into the differential equation. The leading and subsequent equations are
Consequently , and in fact each successive coefficient has the form , because the preceding second derivative is zero. The leading approximation is therefore
It has only one adjustable constant and generally cannot impose two independent boundary conditions. Those assumed in the question require a nonzero coefficient, which a power series in cannot recover: at fixed it is exponentially small, and at fixed it grows without bound as . Thus the regular perturbation describes the specified solution only in the region to the right of the crossover, away from ; it is not a uniform approximation on .
Figure 1.
The exact solution and its two power-law contributions
. Original sketch for , showing the decreasing contribution, the increasing contribution, their sum, and its lowest point. The inset resolves the region where both terms contribute. Details.
Setting gives the reduced first-order linear differential equation . Its nonzero solutions cannot satisfy the zero value at , so one endpoint needs a boundary layer. To determine which endpoint, freeze the coefficient at in the rapidly varying part: has fast mode . It decays into the interval from the right endpoint but grows into the interval from the left endpoint. Hence
The dominant balance gives , so a convenient local thickness is . The left boundary condition must select the outer solution. Equivalently, a putative left inner variable would give , whose nonconstant solution grows like and cannot satisfy the asymptotic matching condition as .
The reduced equation and the left boundary condition give the leading outer solution
Introduce the right inner variable and write . The chain rule gives and . Multiplying the rescaled differential equation by gives the exact equation
At leading order, , with general solution . The right boundary condition gives . The asymptotic matching condition in the overlap region gives
Thus and , yielding the leading inner expansion
Equivalently, the inner variable gives . Both normalizations describe the same boundary layer.
The common value in the overlap region is . The additive composite expansion therefore gives
This leading approximation has and ; the left endpoint error is exponentially small. It rises from near one following the outer solution , approaches a value close to , then drops rapidly to zero in the right boundary layer. Its first derivative is
For small the largest value lies slightly inside the interval. For this additive composite expansion, the first derivative vanishes at
This locates the rounded top of the sketch; the rapid final drop has the scale found above. The additive composite expansion is a leading approximation, so its exponentially small endpoint error does not imply an exponentially small error throughout the interval: neglected algebraic corrections to the outer expansion and inner expansion remain.
Figure 1.
Leading composite approximation with a boundary layer at the right endpoint
. Original sketches for and . The dashed curve is the outer solution ; the inset plots the leading inner expansion against . Details.

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