Rational factorizations of completely positive matrices
Mathieu Dutour Sikiri\'c, Achill Sch\"urmann, Frank Vallentin

TL;DR
This paper proves that any rational matrix inside the cone of completely positive matrices can be factored into rational matrices, ensuring rational cp-factorizations exist within the interior of this cone.
Contribution
It establishes that all rational matrices in the interior of the completely positive cone admit rational cp-factorizations, filling a gap in the understanding of matrix factorizations.
Findings
Rational matrices in the interior have rational cp-factorizations
The result applies to all matrices within the interior of the cone
Provides a constructive proof for rational factorizations
Abstract
In this note it is proved that every rational matrix which lies in the interior of the cone of completely positive matrices also has a rational cp-factorization.
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Rational factorizations of completely positive matrices
Mathieu Dutour Sikirić
M. Dutour Sikirić, Rudjer Bosković Institute, Bijenicka 54, 10000 Zagreb, Croatia
,
Achill Schürmann
A. Schürmann, Universität Rostock, Institute of Mathematics, 18051 Rostock, Germany
and
Frank Vallentin
F. Vallentin, Mathematisches Institut, Universität zu Köln, Weyertal 86–90, 50931 Köln, Germany
(Date: February 4, 2017)
Abstract.
In this note it is proved that every rational matrix which lies in the interior of the cone of completely positive matrices also has a rational cp-factorization.
Key words and phrases:
copositive programming, completely positive matrix, cp-factorization
1991 Mathematics Subject Classification:
90C25
1. Introduction
The cone of completely positive matrices is central to copositive programming, see [3] and also to several topics in matrix theory, see [1]. However, so far, this cone is quite mysterious, many basic questions about it are open. In [2] Berman, Dür, and Shaked-Monderer ask: Given a matrix all of whose entries are integral, does always have a rational cp-factorization?
The cone of completely positive matrices is defined as the convex cone spanned by symmetric rank--matrices where lies in the nonnegative orthant :
[TABLE]
A cp-factorization of a matrix is a factorization of the form
[TABLE]
We talk about a rational cp-factorization when the ’s are rational numbers and when the ’s are rational vectors. Of course, in a rational cp-factorization we can assume that the ’s are integral vectors.
In this note we prove the following theorem:
Theorem 1.1**.**
Every rational matrix which lies in the interior of the cone of completely positive matrices has a rational cp-factorization.
So to fully answer the question of Berman, Dür, and Shaked-Monderer, it remains to consider the boundary of .
2. Proof of Theorem 1.1
For the proof we will need a classical result from simultaneous Diophantine approximation, a theorem of Dirichlet, which we state here. One can find a proof of Dirichlet’s theorem for example in the book [4, Theorem 5.2.1] of Grötschel, Lovász, and Schrijver.
Theorem 2.1**.**
Let be real numbers and let be a real number with . Then there exist integers and a natural number with such that
[TABLE]
The next lemma collects standard, easy-to-prove facts about convex cones. Let be a Euclidean space with inner product . Let be a proper convex cone, which means that is closed, has a nonempty interior, and satisfies . Its dual cone is defined as .
Lemma 2.2**.**
Let be a proper convex cone. Then,
[TABLE]
where is the topological interior of , and
[TABLE]
where is the topological closure of .
We need some more notation: With we denote the vector space of symmetric matrices with rows and columns which is a Euclidean space with inner product . The cone of copositive matrices is the dual cone of :
[TABLE]
Its interior equals
[TABLE]
We also define the following rational subcone of :
[TABLE]
We prepare the proof of the paper’s main result by two lemmata which might be useful facts themselves.
Lemma 2.3**.**
The set
[TABLE]
is contained in the interior of the cone of copositive matrices .
Proof.
Since the set of nonnegative rational vectors lies dense in the nonnegative orthant , we have the inclusion . Suppose for contradiction that the set on the left is not contained in : There is a matrix with for all and there is a nonzero vector with .
By induction on (and reordering if necessary) we may assume that all entries of are strictly positive, for all , since otherwise, we can reduce the situation to the case of smaller dimension by considering a suitable submatrix of .
Hence, the vector lies in the interior of the nonnegative orthant. Therefore, and because , we have for every vector and sufficiently small the inequality
[TABLE]
and similarly
[TABLE]
From this, equality follows. From this, we also see that is positive semidefinite. This implies that
[TABLE]
We apply Dirichlet’s approximation theorem, Theorem 2.1 to the vector and to . We obtain a vector and a natural number . Since we may without loss of generality assume that . Thus, by the assumption , we have .
Define
[TABLE]
Since is positive semidefinite, there is a constant such that for all . Putting everything together we get
[TABLE]
which yields a contradiction for small enough values of . ∎
Lemma 2.4**.**
Let be a completely positive matrix which lies in the interior of and let be a sufficiently large positive real number. Then the set
[TABLE]
is a full-dimensional polytope.
Proof.
For sufficiently large a sufficiently small ball around a suitable multiple of is contained in , which shows that has full dimension.
By the theorem of Minkowski and Weyl, see for example [5, Corollary 7.1c], polytopes are exactly bounded polyhedra. So it suffices to show that the set is a bounded polyhedron.
First we show that is bounded: For suppose not. Then there is and , with , so that the ray , with , lies completely in . In particular for all . Hence, lies in the dual cone of . On the other hand . Hence, by Lemma 2.2 (1), , but by Lemma 2.2 (2),
[TABLE]
so , yielding a contradiction.
Now we show that is a polyhedron: For suppose not. Then there is a sequence of infinitely many pairwise different nonzero lattice vectors so that there are with . Since is compact, there exists a subsequence which converges to . Define the sequence which lies in the compact set where denotes the unit sphere. Hence there is a subsequence converging to , in particular . Denote the indices of this subsequence with , then
[TABLE]
When tends to infinity, the squared norms tend to infinity as well, since we use infinitely many pairwise different lattice vectors and there exist only finitely many lattice vectors up to some given norm. So tends to , and by Lemma 2.3 we obtain a contradiction. ∎
Now we prove the main result and finish the paper.
Proof of Theorem 1.1.
Let be matrix having rational entries only and lying in the interior of the cone of completely positive matrices. Then is a polytope according to the previous lemma. We minimize the linear functional over . The minimum is attained at one of the polytopes’ vertices, . Then we choose those lattice vectors , with for which equality holds. Because of the minimality of it follows
[TABLE]
Otherwise, see for example [5, Theorem 7.1], we find a separating linear hyperplane orthogonal to separating and :
[TABLE]
Then for sufficiently small we would have
[TABLE]
which contradicts the minimality of .
We apply Carathéodory’s theorem (see for example [5, Corollary 7.1i]) to (3) and choose a subset so that are linearly independent and so that lies in . Since is a rational matrix and since the ’s are linearly independent rational matrices, there is a unique choice of rational numbers , with , so that holds, which gives a desired rational cp-factorization. ∎
Acknowledgements
We thank Naomi Shaked-Monderer for comments on the manuscript.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] A. Berman and N. Shaked-Monderer, Completely Positive Matrices , World Scientific Publishing Co., 2003.
- 2[2] A. Berman, M. Dür, and N. Shaked-Monderer, Open problems in the theory of completely positive and copositive matrices , Electronic J. Linear Algebra 29 (2015), 46–58.
- 3[3] M. Dür, Copositive Programming - a Survey , pp. 3–20 in: Recent Advances in Optimization and its Applications in Engineering (M. Diehl, F. Glineur, E. Jarlebring, W. Michiels (ed.)), Springer, 2010.
- 4[4] M. Grötschel, L. Lovász, and A. Schrijver, Geometric Algorithms and Combinatorial Optimization , Springer, 1988.
- 5[5] A. Schrijver, Theory of Linear and Integer Programming , Wiley, 1986.
