Linear and multilinear algebra; matrix theory Matrix equations and groups Problem
Matrix completion
Builds on MatrixRank of a matrixSingular value
Problem
Let be a field and let be integers. Let be a set of positions with and . For each , let a value be given. Find an matrix over such that for all and the rank of is as small as possible.
Remarks
Without more structure the problem has no unique answer: the entries outside can be anything, so one asks for the completion of lowest rank. Low-rank completion is NP-hard in general. Over , a standard relaxation replaces the rank by the nuclear norm, the sum of the singular values of , which gives a convex problem. Candès and Recht proved in 2009 that nuclear norm minimization recovers the unknown matrix exactly with high probability, under some conditions. The matrix must have low rank and satisfy an incoherence condition, and enough entries must be sampled at random. Other versions ask for a completion that is positive semidefinite, or that has another prescribed property.
Reading path
To understand this page from the ground up, read these 4 pages in order. The foundations come first.
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- no evidence level
- Matrix concept
- Rank of a matrix concept
- Singular value concept
- Matrix completion problem
Further reading
About this page
| Tag | GB7K3PTPAR |
|---|---|
| URI | m2://GB7K3PTPAR |
| Kind | problem |
| Writing | W0 stub |
| MSC | 15A83, 65F55 |
| Status | This copy of the site has no build data. Run m2 status GB7K3PTPAR. |
| About | Rank of a matrix |
| Uses | Matrix, Rank of a matrix, Singular value |
| Same as | |
| Changed | 2 November 2026 |
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