Put . Conjugation by is the meaning of . The normalized eigenfunctions have the Volterra integral equation representation
Choose from down the time boundary and then right, from up the time boundary and then right, and horizontally from infinity. Compatibility of the Lax pair makes the resulting construction path-independent.
Let and . The nontrivial exponential in column one has modulus ; column two has its reciprocal. For , and , giving signs for column one and for column two. For , both differences are nonnegative, giving and . For , and the time difference is zero, giving upper and lower half-planes, respectively.
Define , , and . The bounded analytic column domains are therefore
These are the Volterra analyticity sectors for reverse-dispersion mKdV, shown in the right panel of the figure. is the pair of upper outer sectors, the upper middle sector, the lower middle sector and the lower outer pair. Their boundaries are the six rays . The Volterra integral equation converges and differentiates analytically where these kernels are bounded, assuming the usual sufficiently integrable spatial decay and smoothness needed by these normalizations. If decay is interpreted as merely pointwise convergence to zero without an integrability condition, existence and the stated large- normalization need additional hypotheses. A finite-path eigenfunction may be entire for fixed coordinates, but boundedness for large holds in the displayed domains; entire continuation does not enlarge those bounded sectors.
Use the bounded columns supplied by Volterra analyticity sectors for reverse-dispersion mKdV and divide the necessary columns by their determinants. This gives a normalized meromorphic matrix on the six-ray contour . The constant scattering data connection matrices generate its jumps by conjugation with . Zeros of column determinants require residue conditions; in a sufficiently small-data, zero-free regime only jumps are needed. The off-diagonal expansion coefficient reconstructs for this sign convention.