For real , write . The reduction symmetry and unit determinants give the scattering data parametrizations
To see the symmetry, conjugate the coefficient matrices by after taking complex conjugates at ; and the real- reduction restore the original Lax pair. Define
If denotes column , bounded columns produce the following normalized matrices:
Each divisor is exactly the determinant of the unscaled column pair, so . The eigenfunctions and divisors tend to and one, respectively, giving at infinity. The contour for the sectorial half-line mKdV Riemann-Hilbert reconstruction is
It is six rays, not just the real axis or a four-quadrant contour. For the displayed meromorphic construction assume the divisors have no zeros on the contour; contour zeros require an indented or otherwise regularized formulation.
Here are explicit jump data without ambiguity about which side is used. Define
The connection formulas give . Orient each ray outwards and let plus mean its left side. If that ray separates domains on the minus side and on the plus side, its jump is
This specifies every jump using only the spectral connection matrices; each jump has determinant one. Boundedness and consistency at the junction are inherited from the original eigenfunctions when the spectral data satisfy their global constraint.
If or has zeros in its corresponding domain, their simple zeros generate poles and require residue conditions. For example, at a simple zero of in ,
At a simple zero of in , the analogous coefficient for the first column is times the second column; in it is for the second column. The residue in is the conjugate first-column relation. These formulas assume the other displayed denominators are nonzero there; multiple or coincident zeros need their corresponding higher-order conditions. In a sufficiently small-data zero-free regime, the normalized Riemann-Hilbert problem has only the jumps. Finally the order-one term in gives
The column normalizations do not change this off-diagonal leading coefficient.