Use the nonnegative-pairing dual cone . The Lagrangian is for . Its infimum over unrestricted is finite exactly when . Therefore the conic dual problem is
The final equality uses the self-dual cone assumption.
For the canonical self-concordant barrier, use its logarithmically homogeneous barrier normalization
At parameter , the primal barrier problem is
Write , the Legendre dual cone barrier. The matching dual barrier problem is
Defining the dual barrier this way is valid generally; self-duality of the cone alone does not assert that an arbitrarily selected barrier equals its Legendre dual.
The joint central path characterization is
The primal stationarity equation is , exactly the dual feasibility equation after defining . For the dual relation, logarithmic homogeneity gives , so . Thus dual stationarity is , giving the same primal equation. At these points,
Newton step. At a chosen target parameter , define
Linearizing the three equality conditions gives the central-path Newton system
Eliminating the slack and dual directions yields
The barrier Hessian is positive definite. Full column rank of therefore makes positive definite and the reduced solve unique. Use a damped step with and remaining interior; a full Newton step need not do so.
At an exact point with parameter , choosing gives and , the usual predictor towards the next path point. Infinitesimally,
The path definition presupposes interior feasibility and attainment of the barrier problems; strict primal-dual feasibility is a standard sufficient setting. The printed full-rank condition by itself is insufficient. For example , , and give the sole primal feasible point , with no interior slack at all, despite full column rank. Rank guarantees the Newton solve at an interior point, not existence of the central path.
Self-dual cone 2026-10-07
A self-dual cone equals its dual cone under the specified inner product. The nonnegative orthant, second-order cone and positive semidefinite cone are standard examples. Self-duality of a set alone does not establish primal or dual feasibility.