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Can scattering data produce the wave without guessing its shape? For a reflectionless potential with one bound state, the Marchenko integral equation reduces to a single algebraic equation. You will solve it, recover the positive KdV pulse, and check its time evolution and normalization against the direct calculation. This is an exact one-bound-state inverse problem, not a derivation of inverse scattering for arbitrary initial data.

Required background. Relate a wave to auxiliary scattering defines the right-normalized bound-state coefficient c(t)c(t) and eigenvalue −κ2-\kappa^2. Derive a KdV travelling wave supplies an independent PDE check.

Helpful background. The convention reference fixes the relation between the positive field uu and the attractive Schrödinger potential −u-u.

Keep ut+6uux+uxxx=0u_t+6u u_x+u_{xxx}=0 on the line with real smooth decaying fields and L=−∂x2−uL=-\partial_x^2-u. Specify reflectionless right scattering data consisting of one negative eigenvalue −κ2-\kappa^2, with κ>0\kappa\gt0, and a positive squared norming coefficient

c(t)=c0e8κ3t,c0>0.c(t)=c_0e^{8\kappa^3t},\qquad c_0\gt0.

The input function is

F(s,t)=c(t)e−κs.F(s,t)=c(t)e^{-\kappa s}.

For each fixed x,tx,t, solve for K(x,y,t)K(x,y,t) on y≥xy\geq x using the right Marchenko equation

0=K(x,y,t)+F(x+y,t)+∫x∞K(x,z,t)F(z+y,t) dz.\begin{aligned} 0={}&K(x,y,t)+F(x+y,t)\\ &+\int_x^\infty K(x,z,t)F(z+y,t)\,dz. \end{aligned}

Recover the field by

u(x,t)=2ddxK(x,x,t).u(x,t)=2\frac{d}{dx}K(x,x,t).

The derivative is the total derivative along the diagonal at fixed time. Both arguments of KK change with xx. The plus sign recovers our field uu; the Schrödinger potential q=−uq=-u has the usual reconstruction sign q=−2dK(x,x,t)/dxq=-2dK(x,x,t)/dx.

These are the right-end formulas of Aktosun 2009, §§ VII–VIII, equations (7.9) and (8.1)–(8.3), after changing his field to q=−uq=-u. His kernel Ω\Omega is our FF. In more general data an additional Fourier integral of the reflection coefficient appears in FF; it is zero in the present calculation. Left-end reconstruction uses a different kernel and integration interval, so its signs and exponentials must be translated together.

For G(x,y)=e−κ(x+y)G(x,y)=e^{-\kappa(x+y)}, compare ∂xG(x,y)\partial_xG(x,y) evaluated at y=xy=x with dG(x,x)/dxdG(x,x)/dx.

Repair. Holding the second argument fixed gives −κe−2κx-\kappa e^{-2\kappa x}. Moving along the diagonal gives −2κe−2κx-2\kappa e^{-2\kappa x}. In general

ddxG(x,x)=(∂xG+∂yG)∣y=x.\frac{d}{dx}G(x,x) =\left.(\partial_xG+\partial_yG)\right|_{y=x}.

For reconstruction, substitute y=xy=x first and differentiate that one-variable expression. This avoids silently dropping half of a derivative—or more, when the two arguments enter differently.

Suppress tt temporarily and try a separable kernel

K(x,y)=−h(x)e−κy.K(x,y)=-h(x)e^{-\kappa y}.

This form is forced for any solution for which the integral exists: the last two terms in the Marchenko equation are proportional to e−κye^{-\kappa y}, so its first term must have the same dependence on yy.

The integral becomes

∫x∞K(x,z)F(z+y)dz=−h(x)c e−κye−2κx2κ.\int_x^\infty K(x,z)F(z+y)dz =-h(x)c\,e^{-\kappa y}\frac{e^{-2\kappa x}}{2\kappa}.

Cancel e−κye^{-\kappa y} to obtain

−h(x)+ce−κx−h(x)c2κe−2κx=0.-h(x)+ce^{-\kappa x} -\frac{h(x)c}{2\kappa}e^{-2\kappa x}=0.

Thus

h(x)=ce−κx1+c2κe−2κx,K(x,y)=−ce−κ(x+y)1+c2κe−2κx.h(x)=\frac{ce^{-\kappa x}}{1+\dfrac{c}{2\kappa}e^{-2\kappa x}}, \qquad K(x,y)=-\frac{ce^{-\kappa(x+y)}}{1+\dfrac{c}{2\kappa}e^{-2\kappa x}}.

The denominator is strictly positive for the declared data. The integral converges at its upper endpoint because κ>0\kappa\gt0. These two facts establish an actual regular solution for every finite xx, not just a formal rearrangement. The forced exponential form and nonzero denominator also prove uniqueness within the class for which this integral equation is defined.

Define the positive dimensionless quantity

η(x,t)=c(t)2κe−2κx.\eta(x,t)=\frac{c(t)}{2\kappa}e^{-2\kappa x}.

Then K(x,x,t)=−2κη/(1+η)K(x,x,t)=-2\kappa\eta/(1+\eta) and ηx=−2κη\eta_x=-2\kappa\eta. The diagonal derivative gives

u(x,t)=8κ2η(1+η)2.u(x,t)=\frac{8\kappa^2\eta}{(1+\eta)^2}.

Write

x0=12κlog⁡c02κ.x_0=\frac{1}{2\kappa}\log\frac{c_0}{2\kappa}.

The time dependence of cc implies

η=e−2κ(x−4κ2t−x0).\eta=e^{-2\kappa(x-4\kappa^2t-x_0)}.

Using 4e−2z/(1+e−2z)2=sech⁡2z4e^{-2z}/(1+e^{-2z})^2=\operatorname{sech}^2z therefore recovers

u(x,t)=2κ2sech⁡2 ⁣[κ(x−4κ2t−x0)].u(x,t)=2\kappa^2\operatorname{sech}^2 \!\left[\kappa(x-4\kappa^2t-x_0)\right].

The eigenvalue determines the height and speed. The positive coefficient c0c_0 determines the position. The exponential growth of c(t)c(t) means the pulse moves; it does not mean the field amplitude grows.

An equivalent expression uses τ(x,t)=1+η(x,t)\tau(x,t)=1+\eta(x,t):

K(x,x,t)=∂xlog⁡τ,u=2∂x2log⁡τ.K(x,x,t)=\partial_x\log\tau, \qquad u=2\partial_x^2\log\tau.

Here τ\tau is simply a convenient scalar function derived from the kernel. A general hierarchy of tau functions requires additional structure.

Choose κ=1\kappa=1, c0=2e−4c_0=2e^{-4}. The reconstructed center is x0=−2x_0=-2, and

u(x,t)=2sech⁡2(x−4t+2).u(x,t)=2\operatorname{sech}^2(x-4t+2).

At t=1/2t=1/2 the center is zero and c(t)=2c(t)=2. The field’s height is still 22. The direct spectral calculation gives a bound state at −1-1 with right-normalized norm squared 1/21/2, so its inverse norm squared is 22, agreeing with the input at that time.

There are three distinct checks. Substituting KK into the integral equation checks inversion. Computing the right-normalized bound-state norm checks the data normalization. Substituting the reconstructed field into KdV checks the time law. In the last step U′′=4κ2U−3U2U''=4\kappa^2U-3U^2 and ut=−4κ2U′u_t=-4\kappa^2U' make the PDE residual exactly zero. None of these steps is replaced by plotting the pulse.

Guided practice: verify one row of the kernel

Section titled “Guided practice: verify one row of the kernel”

Take κ=1\kappa=1, c=2c=2 at a fixed time. Find K(0,y)K(0,y), y≥0y\geq0, and directly verify the Marchenko equation at x=0x=0. What field value does the full diagonal formula give at x=0x=0?

Hint

Here F(s)=2e−sF(s)=2e^{-s} and ∫0∞e−2zdz=1/2\int_0^\infty e^{-2z}dz=1/2. Use η(0)=1\eta(0)=1 only after obtaining the derivative formula.

Solution

The kernel is K(0,y)=−e−yK(0,y)=-e^{-y}. The three terms are

−e−y+2e−y−2e−y∫0∞e−2zdz⏟−e−y=0.-e^{-y}+2e^{-y} \underbrace{-2e^{-y}\int_0^\infty e^{-2z}dz}_{-e^{-y}}=0.

The field formula gives u(0)=8/(1+1)2=2u(0)=8/(1+1)^2=2. The single value K(0,0)=−1K(0,0)=-1 alone does not determine u(0)u(0); reconstruction needs how the diagonal varies near x=0x=0.

Independent practice: catch the wrong derivative

Section titled “Independent practice: catch the wrong derivative”

At the center x=Xx=X, where η=1\eta=1, compute ∂xK(x,y)\partial_xK(x,y) and ∂yK(x,y)\partial_yK(x,y) before setting y=xy=x. Show why replacing the total diagonal derivative by ∂xK\partial_xK would give a false field value at the peak.

Hint

At fixed time, K=−ce−κ(x+y)/(1+η)K=-ce^{-\kappa(x+y)}/(1+\eta) and ηx=−2κη\eta_x=-2\kappa\eta. Differentiate the numerator and denominator separately.

Solution

For independent arguments,

∂xK=κη−11+ηK,∂yK=−κK.\partial_xK=\kappa\frac{\eta-1}{1+\eta}K, \qquad \partial_yK=-\kappa K.

At the diagonal center K=−κK=-\kappa and η=1\eta=1, so ∂xK=0\partial_xK=0, ∂yK=κ2\partial_yK=\kappa^2. The correct field is 2(∂xK+∂yK)=2κ22(\partial_xK+\partial_yK)=2\kappa^2. Using only the first partial derivative would incorrectly report zero at the pulse maximum.

Keep κ>0\kappa\gt0 but replace the positive coefficient by a negative real number cc. Locate a zero of the kernel’s denominator. Explain why this is not a smooth negative soliton of the same line problem. What happens if c=0c=0 instead?

Hint

Solve 1+(c/2κ)e−2κx=01+(c/2\kappa)e^{-2\kappa x}=0. Recall the definition of cc as an inverse squared norm.

Solution

For c<0c\lt0, the denominator vanishes at

x∗=12κlog⁡∣c∣2κ.x_* =\frac{1}{2\kappa}\log\frac{|c|}{2\kappa}.

The numerator is nonzero there, so the kernel is singular and the reconstructed field is not a smooth decaying pulse on the whole line. A negative number also cannot equal the inverse squared norm of a nonzero bound state. Algebraically inserting it violates the admissibility of the specified scattering data.

For c=0c=0, F=0F=0, the equation gives K=0K=0 and hence u=0u=0. That case has no retained bound state: it is not a one-bound-state data set with a vanishing norm. As c→0+c\to0^+ with κ\kappa fixed, the pulse center tends to −∞-\infty; the field tends to zero at each fixed xx while its full-line integral remains 4κ4\kappa. Pointwise and integrated limits need not agree.

You have recovered a pulse from admissible scattering data and checked the diagonal derivative, time sign and normalization independently. Continue to the KdV convergence laboratory to distinguish field error, boundary truncation and invariant drift, then compare the two constructions in the course project. The Library article collects the proof and its scope.

  • Aktosun, Tuncay. “Inverse Scattering Transform and the Theory of Solitons.” In Encyclopedia of Complexity and Systems Science, 4960–4971 (2009). DOI. Author version arXiv:0905.4746v1; HTML, Open PDF. Section and equation locators above refer to the author version.