Noncommutative Schur-type products and their Schoenberg theorem
J. E. Pascoe

TL;DR
This paper generalizes the Schoenberg theorem to a class of noncommutative Schur-type products, characterizing those that preserve positive semi-definiteness and share key properties with the classical Schur product.
Contribution
It classifies all noncommutative products satisfying key properties of the classical Schur product and extends Schoenberg's theorem to these generalized products.
Findings
Classified all products with rank-one and positive semi-definite properties.
Extended Schoenberg's theorem to noncommutative Schur-type products.
Provided conditions under which these products preserve positive semi-definiteness.
Abstract
Schoenberg showed that a function such that positive semi-definite implies that is also positive semi-definite must be analytic and have Taylor series coefficients nonnegative at the origin. The Schoenberg theorem is essentially a theorem about the functional calculus arising from the Schur product, the entrywise product of matrices. Two important properties of the Schur product are that the product of two rank one matrices is rank one, and the product of two positive semi-definite matrices is positive semi-definite. We classify all products which satisfy these two properties and show that these generalized Schur products satisfy a Schoenberg type theorem.
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Taxonomy
TopicsRandom Matrices and Applications · Advanced Combinatorial Mathematics · Advanced Algebra and Geometry
Noncommutative Schur-type products and their Schoenberg theorem
J. E. Pascoe
Department of Mathematics
1400 Stadium Rd
University of Florida
Gainesville, FL 32611
Abstract.
Schoenberg showed that a function such that positive semi-definite implies that is also positive semi-definite must be analytic and have Taylor series coefficients nonnegative at the origin. The Schoenberg theorem is essentially a theorem about the functional calculus arising from the Schur product, the entrywise product of matrices. Two important properties of the Schur product are that the product of two rank one matrices is rank one, and the product of two positive semi-definite matrices is positive semi-definite. We classify all products which satisfy these two properties and show that these generalized Schur products satisfy a Schoenberg type theorem.
2010 Mathematics Subject Classification:
15B48, 15A24, 15A45.
1. The classical case
The Schur product of two matrices is given by their entrywise product. Two important properties are that the Schur product of two positive semi-definite matrices is again positive semi-definite, and that the Schur product of two rank one matrices is again rank one. The natural functional calculus arising from the Schur product is entrywise evaluation. That is, given a function we apply the function to a matrix with entries in by defining Schoenberg proved the following result, modulo some mild refinements due to Rudin.
Theorem 1.1** (Schoenberg [7], Rudin [6]).**
Let If
[TABLE]
then for some coefficients
Here, means that the matrix is positive semi-definite.
Much has been made of the Schoenberg theorem in recent years, see [1, 2] for an extensive survey, including several multi-variable generalizations [3]. Our present goal will be to characterize products which preserve positivity and rank-ones, and moreover show that they satisfy a Schoenberg type theorem.
2. Rank-one preserving products
We begin by characterizing rank-one preserving products.
Definition 2.1**.**
Let be an associative bilinear product on the space of by matrices over with an identity element which has rank one.
- (1)
We say is a rank-one preserving product or ropp whenever the product of two rank one matrices is rank one or less. 2. (2)
We say is a semi-definite and rank-one preserving product or saropp whenever is a ropp and the product of two positive semi-definite matrices is again positive semi-definite.
The Schur product on by matrices is an example of a ropp, and when the Schur product is a saropp.
Another class of examples of ropps are the generalized Schur products.
Definition 2.2**.**
Let be a unital algebra of dimension and be a unital algebra of dimension Fix linear bijections and We define a generalized Schur product on by matrices to be the unique bilinear product satisfying the relation
[TABLE]
When and the corresponding generalized Schur product is a saropp. Whenever and both endowed with the entry-wise product, we recover the classical Schur product as a generalized Schur product. One of the main goals of the current section is to show that all ropps and saropps arise in this way respectively. We will drop the rather outlandish ropp / saropp terminology once that fact is established.
We note that, for a generalized Schur product, there is a natural isomorphism,
[TABLE]
where complex conjugation on is induced from (Concretely, )
2.1. Ropps are generalized Schur products
Proposition 2.3**.**
Let be a ropp on by matrices. Write the identity element for as Then,
[TABLE]
Proof.
Without loss of generality, is not in the span of and is not in the span of Write Note that
[TABLE]
must be rank or less for all real choices of
An elementary argument then says that Namely, we know that must either have common range or common kernel with by setting So, either we know that we can take or In the case where must be a multiple of as must either have common range or common kernel with Taking then gives that In the case where must be a multiple of as must either have common range or common kernel with Taking then a matrix with rank contradicting our hypotheses. So, we are done. ∎
Proposition 2.4**.**
Let be a ropp on by matrices. Write the identity element for as Then, for all there exists a such that
[TABLE]
Similarly,
[TABLE]
Proof.
We will prove the first identity, the second identity is similar.
Without loss of generality, are not in the span of Write Note that
[TABLE]
must be rank or less for all real choices of
An elementary argument then says that was in the span of (If the product was non-zero.) Namely, we know that must either have common range or common kernel with by setting If is not in the span of then we can take Moreover, is also a multiple of Without loss of generality So, we have that is rank one. So, taking we see that is rank and so must be a multiple of So, we are done. ∎
Theorem 2.5**.**
If is a ropp on by matrices, then is a generalized Schur product.
Proof.
Write the identity element for as Define the algebra to be an algebra with product such that (This is well defined by Proposition 2.4.) Similarly, let be endowed with the product Using and and being the identity gives that was a generalized Schur product. That is, applying Proposition 2.3, we see that
[TABLE]
∎
3. The Schoenberg theorem
First we define the natural domain for the noncommutative Schoenberg theorem. Given a generalized Schur product on the set of by matrices, we define to be the algebra of by matrices equipped with We define the -dimensional generalized Schur universe to be
[TABLE]
where the disjoint union is taken over all generalized Schur products We define the ** by matrix generalized Schur universe** to be
[TABLE]
Definition 3.1**.**
Let be a generalized Schur product on by matrices. We say a -tuple of by matrices is a Schur spectral contraction with respect to whenever there are such that the tuple
[TABLE]
is positive definite and has joint spectral radius less than (Here, the block matrix sits in by matrices endowed with generalized Schur product with algebra and the joint spectral radius is taken with respect to that product.)
We denote the set of Schur spectral contractions in variables by
Since the joint spectral radius is continuous [4], the set of Schur spectral contractions is open.
Now we define our class of functions.
Definition 3.2**.**
Let We define a scalar noncommutative function satisfying the following axioms.
- (1)
is contained in the algebra generated by 2. (2)
If there is a homomorphism from the algebra generated by to the algebra generated by such that then
We say a function is a noncommutative function if each of its block entries is a scalar noncommutative function.
We note that this implies that
[TABLE]
when a block matrix is given a generalized Schur product corresponding to a direct sum on both sides and the block matrix is in the domain.
We say a map is positivity preserving whenever where is positivity preserving and implies that
Lemma 3.3**.**
A positivity preserving map is locally bounded on the set of Schur spectral contractions.
Proof.
Suppose is a Schur spectral contraction. By definition, there are such that the tuple
[TABLE]
is positive definite and has joint spectral radius less than Therefore, by continuity of the joint spectral radius and the smallest eigenvalue, for any small we also have that
[TABLE]
is positive definite and has joint spectral radius less than Therefore,
[TABLE]
So,
[TABLE]
∎
The following theorem is omnipresent in the noncommutative function theory literature, see [5] for a treatment in ordinary setting. We prove the same holds in the functional calculus arising from generalized Schur products.
Lemma 3.4**.**
If is a positivity preserving map on the set of Schur spectral contractions, then is differentiable.
Hence, since the function is defined on an open complex domain, the function is analytic.
Proof.
Let be a Schur spectral contraction. By definition, there are such that the tuple
[TABLE]
is positive definite and has joint spectral radius less than Fix a direction and find
[TABLE]
which is positive definite. We will show that is differentiable at and thus at by showing that the third difference quotient is always positive for positive directions That is, without loss of generality, we will show that whenever and the quantity is well defined. (A function whose third difference quotient is always positive must be differentiable.)
We will show the first difference quotient is positive, and then an inductive argument essentially proves the claim. Consider
[TABLE]
Evaluating on the block vector we see that so we are done. (Essentially, the function is again positivity preserving, so in fact an arbitrary difference quotient is positive. This induces a function on the domain of points such that ) Repeating this process eventually proves the claim. ∎
We now state and prove our noncommutative generalization of Schoenberg’s theorem.
Theorem 3.5** (The noncommutative Schoenberg theorem).**
Let be a noncommutative function on the set of Schur spectral contractions which is positivity preserving. Then, has a noncommutative power series representation which converges for all Schur spectral contractions, and each
Here, the power series is evaluated with the underlying generalized Schur product
Proof.
Since is analytic on each algebra by Lemma 3.4 and is contained in the algebra generated by the coordinates of it is clear that has a noncommutative power series which converges absolutely on the domain. (The set of Schur spectral contractions is star-like and balanced with respect to the origin.) So, it suffices to show that the Let be the algebra of truncated noncommutative polynomials of degree (That is, noncommutative polynomials quotiented out by the monomials of degree greater than ) Find a spatial isomorphism from into for some large Let be the coordinate functions in Now, and we are done. ∎
Index
- -dimensional generalized Schur universe §3
- generalized Schur product Definition 2.2
- by matrix generalized Schur universe §3
- noncommutative function Definition 3.2
- positivity preserving Definition 3.2
- rank-one preserving product item 1
- ropp item 1
- saropp item 2
- scalar noncommutative function Definition 3.2
- Schur spectral contraction with respect to Definition 3.1
- semi-definite and rank-one preserving product item 2
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