There is a literal inconsistency in the stated Riemann-Hilbert problem: a jump matrix tending to zero is incompatible with . Along the real axis the conjugating exponentials are unitary, so the right side of the jump tends to zero while the left side tends to . No normalized solution satisfies the printed decay condition. The intended condition is , or replacement of in the jump by when denotes its decaying part.
For this corrected problem assume a regular, invertible, pole-free solution, differentiable in , with the required expansion uniformly at infinity. These conditions matter: arbitrary jump data need not be solvable, and poles would contribute extra terms. Write and . Matching the nondecaying coefficients in the two differential expressions yieldsThe first expression makes off-diagonal.
These matches really establish the differential equations, rather than just formal identities. Let . It satisfies and . Differentiating consequently shows thathave matching boundary values. They therefore extend holomorphically across the contour. The chosen coefficients make both residuals at infinity. Their absence of poles and Liouville theorem imply , proving the required Lax pair under the corrected hypotheses. This is matrix NLS reconstruction from a normalized Riemann-Hilbert problem.
The coefficient of the first equation is . Substitution in the expression for gives . Decompose into diagonal and off-diagonal parts. Since , its off-diagonal part is . ThusThe commutator in the equation has zero diagonal; multiplication of two off-diagonal two-by-two matrices is diagonal. Combining the two parts proves
Put . The Lax pair becomes , , withEquality of mixed derivatives, using invertibility, gives the zero-curvature condition . The terms quadratic in cancel. The terms linear in cancel because , and commutes with . For the constant term, the identitiescancel the differentiated term, leaving . Multiplying by provesOnce is known, its time dependence enters through the explicit exponential conjugation. The boundary relation and normalization form a linear problem for , and reconstructs the nonlinear solution. This is the requested linearization. Its disadvantage as an initial-value method is that it does not itself determine from a prescribed . The inverse scattering transform supplies that direct-scattering step, including any discrete spectral data and their pole conditions, before reconstruction. Solvability cannot be inferred merely from writing an arbitrary jump.
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