Additive composite expansion Created 2026-09-24 Updated 2026-10-14
An additive composite expansion combines an inner expansion and an outer expansion by subtracting their common behavior in the overlap region:
The subtraction removes the part counted twice. Near the boundary layer, the outer expansion cancels the overlap contribution; away from the boundary layer, the inner expansion cancels it. An error estimate is needed to establish accuracy across the whole domain.[ref]
For the singular perturbation problem , , , the outer solution is one, the leading inner expansion is , and their overlap is one. Thus . With , comparison with the exact normalized solution gives
The supremum norm error is therefore exponentially small on the entire interval, even though the outer solution alone has error one. This is an error bound for function values; errors in derivatives have additional powers of .
The composite satisfies the differential equation exactly but has right boundary condition . Dividing it by restores that boundary condition and recovers the exact solution. This example makes both the strength and the limit of matching explicit: it gives a global approximation, while finite- normalization can still carry information beyond every algebraic order.
For the positive-drift equation, the outer expansion obeys . Select the boundary condition at the right endpoint, obtaining . The first correction satisfies
Integrating gives
The boundary condition mismatch is at . Set and use the inner expansion . The inner equation is . At leading order, matching to and imposing give . At first order,
The outer expansion in the overlap is . Matching its constant and linear terms gives
The additive composite expansion adds inner and outer approximations and subtracts the common overlap:
It meets the left condition exactly and the right condition up to exponentially small terms, with an uniform asymptotic error. This is the first-order composite expansion for a positive drift specialized to the present coefficients.
Reversing the drift moves the decaying boundary layer to ; the outer solution is selected at . For the second equation, is in fact an exact solution, but predicts at the right boundary instead of . Put . The inner equation becomes
Matching to gives
Indeed, and , as required by the order- boundary value. Since , and give the endpoint derivative in a negative-drift boundary layer:
The order-one term cannot be obtained by differentiating the leading inner solution alone.
Assume and fixed . Away from the degenerate endpoint , the reduced equation is . The positive drift makes the rapidly varying homogeneous mode decay as one moves away from the left boundary, so the outer solution is selected by the right boundary condition:
It does not satisfy the left value: its limit there is .
If the layer width is , diffusion is , while is because the drift vanishes linearly. Their dominant balance gives the square-root boundary layer at a vanishing drift
Writing gives . The first nonzero inner expansion satisfies , hence . Imposing and matching gives
The overlap region is for fixed . The additive composite expansion
combines the two leading approximations and satisfies the left value exactly and the right value up to an exponentially small term. Only the first nonzero terms were requested; higher matching terms need not be added.
For fixed , the decaying fast mode is at the other endpoint. The outer solution is now fixed by , giving . At the drift does not vanish, so the right layer has width , with leading transient proportional to . In particular its leading inner profile is , where . The vanishing drift at the left endpoint does not require an order-one mismatch layer for these data.
For , the reduced equation is , which cannot supply the nonzero endpoint values. The equation becomes an Airy ordinary differential equation: gives . The exact solutions are combinations of and . For they oscillate, with local wavelength of order , rather than forming a decaying exponential layer matched to a smooth nonzero outer profile. The region resolves the turning endpoint, but oscillations extend throughout the interval. Boundary-value resonances can occur at isolated parameter values. Thus setting is not a continuous substitution into either fixed-sign layer approximation.
Define the nested integral
The order- equation in the inner expansion is . The preceding result decomposes its forcing into . The particular solutions combine to
For example, follows directly by differentiating the nested integral, so the equation can also be verified without relying on the supplied particular-solution formulas. At zero ; add to impose the left boundary condition. As this gives
The outer expansion in the overlap, derived in the previous section, requires the remaining constant to be . Thus . The logarithmic matching constant is an error-function logarithmic switchback.
The complete answer through order in the inner expansion is
Here , and . This expression is zero at , and its large- expansion agrees with . Together with , it covers both requested regions. The overlap uses , with the usual termwise ordering restrictions when matching higher terms.
If a single continuous approximation is desired, an additive composite expansion is
The apparent logarithmic divergence at cancels: its residual is . The composite therefore extends continuously to the left endpoint and satisfies the right boundary condition to the requested order.
For the outer expansion, the first-order reduced ordinary differential equation gives after imposing the right boundary condition. Its first correction satisfies
An integrating factor gives
The left boundary is at , where the highest-derivative coefficient is already . Balancing that coefficient against gives a layer of width , not . This is a boundary layer around a moving endpoint:
At leading order , and matching to the outer limit one while setting gives . The first correction satisfies
Direct differentiation of verifies the forcing. It vanishes both at zero and at infinity, so no homogeneous term is needed. The requested inner expansion is
Its order- overlap constant is zero, agreeing with the outer expansion at the moving endpoint. The overlap can be chosen with .
An independent scaling check drops the reaction term only in the layer and integrates . Its decaying fast solution is proportional to . Since
it gives exactly the same first correction. A useful additive composite expansion, with the left boundary value made exact, is
The exponentially small remainder at the right endpoint is beyond all retained algebraic orders.
The three distinguished limits are the outer expansion at , an intermediate asymptotic region at , and an inner expansion at . The middle scale resolves the coefficient change from to ; the narrower scale resolves the unmet left boundary condition. The original equation is understood on with a continuous extension to the boundary. As explained below, imposing a classical second derivative at would be too strong for this degenerate ordinary differential equation.
In the outer expansion, set . The leading equation is . Enforcing the right boundary condition gives . Because , the next equation is particularly simple:
An integrating factor, or the substitution , gives . Thus
The error statement is for bounded away from zero. The left limiting form is through the terms needed for matching. A logarithm in the correction makes a pure integer-power inner ansatz inadequate.
For the intermediate asymptotic region, put and . The transformed equation is
The leading is a constant fixed to by matching. There is no order- forcing, so that homogeneous constant is zero after matching. At order , , giving . Matching for with the outer expansion fixes . Hence
The switchback term is larger than an ordinary constant correction and must be retained. The highest derivative term first changes this middle solution at order , so it does not alter the displayed result.
To locate the inner expansion, compare the derivative terms for . Their ratio at a layer width is , so the square-root-degenerate endpoint layer has . Put and . After dividing by the common leading factor, the equation through order is
Both orders therefore have the same homogeneous operator . Its derivative mode is proportional to . Using and the supplied elementary integral, define
The intermediate asymptotic region gives the overlap value as . Therefore
It satisfies the left boundary condition exactly to the retained orders, and its large- limit matches the middle result in . The outer and middle limits match with . These three formulae include all terms through , including the logarithmic switchback; the omitted terms in the middle and inner regions need not be .
For a check on that last point, continue the middle equation by one order. Its term obeys
The integration constant is selected by the outer limit. Its value at is , so the inner matching amplitude has a next correction . This independently explains why an remainder is appropriate.
If a single additive composite expansion is useful, combine the three formulae and subtract their two common overlaps. Writing and interpreting at zero gives
It is zero at , gives at , and reproduces all three retained expansions. It does not assert an error uniformly through the nested regions.
Finally, near zero . Thus the solution has a finite nonzero first derivative but generally a second derivative diverging like . This is compatible with the equation for : the vanishing coefficient of multiplies that singular derivative to give a finite limit. If one instead required and the differential equation pointwise at , the left condition would force . The normalized equation's other coefficients have only integrable singularities, so uniqueness for the initial value problem with would give the zero solution, contradicting the right condition. Explicitly, write the normalized equation as a first-order system for with an integrable coefficient matrix; its integral equation and the Gronwall inequality force a solution with zero initial vector to vanish. The continuous-endpoint interpretation is therefore essential.
The first of the Gaussian drift primitives, , is an even function; the second, , is an odd function. Their derivatives follow by the fundamental theorem of calculus. In particular is the Dawson function, which behaves as . Since the error function tends to , the derivative of behaves as at either end. Integration therefore gives
Also on the left and on the right. The two inner overlaps are consequently
Expressing the outer expansions in requires the left constant and the right constant . Equating those constants gives the stated . This is exactly how a logarithmic overlap creates a switchback term: . Adding the outer solutions and removing these overlaps leaves the displayed additive composite expansion.
The solution and its first derivative are continuous at : a jump would create a Dirac delta distribution or its derivative, absent from the forcing. Put , and . The outer expansions, fixed by the respective endpoint boundary conditions, are
Balancing diffusion and advection near gives the interior layer at a simple zero of advection with inner variable . The leading inner expansion solves , so matching to and gives
For the next term define the Gaussian drift primitives
Writing for the Heaviside step function, let . Its value and first derivative match at zero and . Thus
where the logarithmic overlaps fix
Here are the constants in the supplied large-positive- limits of . The terms are essential switchback terms; discarding them would not give accuracy through .
Subtracting the common overlap from the inner expansion and outer expansions gives the additive composite expansion
The standard overlap subtraction leaves . Replacing by changes the value only by uniformly and gives a composite with continuous first derivative. The last term restores the endpoint values through the retained order. When , and the order-one error-function jump disappears. An interior adjustment remains to accommodate the leading outer derivative mismatch, together with logarithmic matching when .
Reversing the diffusion sign changes the leading inner equation to . Its nonconstant solution grows like the integral of , so bounded matching forces the same leading value on both sides. The bulk is on the left and on the right; both endpoint conditions are instead supplied by decaying endpoint layers for reversed diffusion, of width . A weaker width- interior adjustment matches derivatives and selects . Indeed, its first-order equation has a non-growing solution only if
The leading structure is consequently
with the smaller interior correction understood. Unlike the positive-diffusion case, the endpoint values are not transported into two distinct order-one inner limits.
At fixed , the leading equation is . Its solution compatible with the eventual decaying far field and the boundary value at one is . This decay implies at distances . Balancing radial derivatives against the linear screening term identifies
The distant region is governed by the modified Helmholtz equation; its decaying homogeneous profile is .
For a matched asymptotic expansion, write the fixed- approximation as , allowing logarithms of in the coefficients. Successive equations are
The boundary condition imposes and . Before matching, their integrated forms can be written
In particular a pure power series with parameter-independent coefficients will be insufficient: the logarithmic overlap creates a switchback term.
In the distant region set . The scaled equation is , so
Decay and leading matching give . The radial modified Helmholtz equation gives the supplied particular integral in terms of the exponential integral:
As , the small-argument expansion of the exponential integral yields
where is the Euler--Mascheroni constant. Substitute to compare the two expansions in :
The constant at order fixes . Its coefficient then fixes , and the constant at order fixes . Hence
The required inner expansion at fixed is
At fixed positive , the outer expansion is
Both display every term through the requested order, including the switchback term in the fixed- region.
To form an additive composite expansion, subtract the common overlap from the sum of the inner and outer expressions. Their retained common part is
Thus one composite is . The last term can be screened by multiplying it by without changing either retained expansion. This gives a useful exponentially decaying version:
Its boundary value is . If exact satisfaction of the boundary value is desired, use instead
The small-argument expansion of the exponential integral shows that this normalized composite has the same two retained expansions; it equals one at and tends to zero at infinity.
The reduced outer equation is . Imposing the right boundary condition gives
The condition at requires . The first two inner terms are
They match . The additive composite expansion is
On , the coefficient vanishes at the left endpoint. The ordinary exponential layer is replaced by a turning-point endpoint region of width , where all three terms in the equation enter the leading balance.
Away from the thin layer, set . The outer equation is
and the boundary condition selected by this first-order problem is the right-end condition. Thus
which satisfies but has .
The missing left condition is supplied by an outflow boundary layer. Put and . After multiplication by , the equation is
At leading order,
The conditions and as give
The common overlap is . The additive composite expansion is therefore
It satisfies both endpoint values up to exponentially small or higher-order errors and is uniformly valid to on .
The reduced first-order equation cannot satisfy both endpoint values. The given outer expansion satisfies but has , so the boundary layer lies at and has stretched coordinate .
Write the inner expansion as . After multiplying the differential equation by , it becomes
At leading order,
The boundary condition and matching to give
At the next order,
Matching to and imposing gives
The additive composite expansion is outer plus inner minus their common part. With , it is
It satisfies exactly through the retained order, satisfies the right boundary condition up to exponentially small terms, and is uniformly accurate to .