Past exam of the mathematics course of the University of Cambridge 2014 iii Paper 65 4 b Solution Created 2026-10-03 Updated 2026-10-06
The fidelity norm here is unsquared, as in the original PDF. Write , so . Introduce and . The second-order cone reformulation of one-sided quadratic denoising issubject to the affine cone constraintswhere is the second-order cone. All coordinates displayed inside the cone memberships are affine in the optimization variables, so stacking them has precisely the form . The first cone enforces , and each three-dimensional cone enforces . The two scalar inequalities give .
Every feasible lift therefore has objective at least the original objective. Conversely, for any , choose , and to attain equality. Thus the reformulation is exact. It is a second-order cone program over the product , a proper closed self-dual cone. It preserves the asymmetric derivative penalty; replacing it by would change the problem.
The canonical Lorentz-cone barrier is on , and each orthant coordinate contributes . Their sum, composed with the affine slack map, isIts domain explicitly requires , , and ; the positive Lorentz branch must not be inferred merely from positivity of a squared expression. The barrier parameter of the product-cone barrier is , with two per Lorentz block and one per scalar orthant slack. A strict feasible lift can always be obtained by choosing above both bounds, above , and above the fidelity norm.
Past exam of the mathematics course of the University of Cambridge 2023 ii Paper 1 31J e Solution Created 2026-09-24 Updated 2026-09-25
The set is the second-order cone. PutWhen and , one has , and the proposed pointlies on the boundary of because .
Set . Sincefor any we obtainwhere the first inequality is the Cauchy-Schwarz inequality and the second uses . Part (d) therefore giveswhenever and . At the projection is plainly , consistent with the limiting formula.
If , then for every ,Applying part (d) with givesTogether with the trivial case , this is the full projection onto the second-order cone.
Second-order cone programming 2026-10-06
A second-order cone program has a linear objective and affine constraints taking values in products of second-order cones and nonnegative orthants. Norm epigraphs have the form ; quadratic epigraphs admit the affine lift , equivalent to . Product-cone self-concordant barriers give interior-point methods.
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.