Archive for the ‘General Probabilistic Theories’ Category

How does one prove that domains of positivity of symmetric nondegenerate bilinear forms are self-dual cones?

Friday, February 26th, 2010

On mathoverflow, I’ve asked how one proves that domains of positivity of symmetric nondegenerate bilinear forms on real vector spaces are self-dual cones.  A bilinear form on a real vector space X is just a map B: X \times X \rightarrow \mathbb{R} that is linear in each argument.  (In other words, if you fix y, the function B(x,y) that takes x to B(x,y) is linear, and similarly if you fix the other argument.)  It’s called nondegenerate if the only x \in X such that B(x,y)=0 for all y, is x=0.  And, of course, it’s symmetric if for all x,y, B(x,y)=B(y,x).

A closed domain of positivity of such a form is a maximal set Y such that B(Y,Y) \ge 0.  Maximal means maximal in the ordering of sets by containment, i.e. Y is not contained in any other set Z satisfying B(Z,Z) \ge 0.  This notion was introduced, or at least used, by Max Koecher in the late 1950s, in work that led to the celebrated result, published in 1958 in “The Geodesics of Domains of Positivity”  (well, actually, “Die Geodatische von Positivitatsbereichen” (Mathematische Annalen 135 (1958), pp. 192–202)), that homogeneous self-dual cones in finite dimension are precisely the cones of squares in finite-dimensional formally real (aka Euclidean) Jordan algebras.  Indeed, probably the very interpretation of the main result of that paper as concerning homogeneous self-dual cones relies on the identification of domains of positivity with self-dual cones that I’m looking for a proof of.

If the form were positive semidefinite, i.e. B(x,x) \ge 0 for all x (which implies symmetry) then a domain of positivity for would clearly  be a self-dual cone.  This is practically the definition of a self-dual cone.  The dual of a cone in a real inner product space is the set of all vectors y whose inner product with everything in the cone is nonnegative—and the definition of an inner product on a real vector space is that it’s a nondegenerate positive semidefinite bilinear form.  A self-dual cone is one that’s equal to its dual cone.

For our definition of domain of positivity, the form was required only to be symmetric, not necessarily also positive semidefinite.  Nevertheless, according to things I’ve read, its domains of positivity are self-dual cones.   These domains are not necessarily unique, of course, although they are maximal, i.e. no one of them contains another).  Although I have a vague recollection of having seen a proof that they are self-dual, I haven’t been able to find the paper or come up with a proof.

It’s easy to prove that such a domain is a pointed, convex, closed cone.  A natural way to prove that it is a self-dual cone would be to exhibit a positive semidefinite form B', depending on B and possibly also on Y, such that Y is a domain of positivity of B'.   An idea for how to do this involves the fact that such a form can be diagonalized: we can find a basis x_i for the vector space such that the matrix with elements M_{ij} := B(x_i, x_j) is diagonal, with diagonal elements \epsilon_i \pm 1.  The number of - signs on the diagonal is the signature of the form.  A natural candidate for B' is the Euclidean inner product  \langle u, v \rangle := \sum_i u_i \cdot v_i in the basis x_i (i.e u_i, v_i are the components of u, v in this basis).  That is, we just change the -1’s to +1’s in the diagonal form of B.

Nondegenerate symmetric bilinear forms are interesting for a variety of reasons.  One of them is that they are closely related to the metric structure on a pseudo-Riemannian manifold.  Something like the following is true: you specify such a form at each point of the manifold, in such a way that the forms at the various points are nicely related to each other, and you’ve specified the geometric structure of a pseudo-Riemannian manifold.  (One restriction here, I believe, is that the signature of the forms has to be the same everywhere; the forms also need to vary somewhat smoothly, in a manner I should look up and summarize, but not now.)  For example, in the general relativistic description of spacetime, the spacetime manifold has signature -1, 1, 1, 1.  Or 1, -1, -1, -1; people use different conventions.  I’m attracted to 1, -1, -1, -1, because the odd-one-out corresponds in relativity theory to time, and this way, the forward and backward light cones are the (only!) domains of positivity for the form.  I.e. the form is B(v, v') = tt'- (xx' + yy' + zz'); we have B(v, v) = t^2 - (x^2 + y^2 + z^2) (here v = (t, x, y, z), etc…).  Interestingly, with the other choice of signature, the domains of positivity consist of spacelike vectors, and there is a continuum of them.  To get a picture of what’s going on, consider one time and two space dimensions, with signature 1, -1, -1.  You can visualize this in \mathbb{R}^3, with the vertical t axis as time (associated with the -1 diagonal element of the form) and the horizontal xy planes for constant time t as a spacelike plane.  If you rotate the 45 degree line between t and say the x axis, around the t axis, you get the boundary of a double cone, the forward and backward light cones.  But similar cones pointing along any ray in the xy plane are clearly domains of positivity for the form.  I suspect lots of other cones—basically, any self-dual cone you can fit into the “conic doughnut” that is the closed complement of the double light-cone, i.e. into the spacelike (and null) vectors, are also domains of positivity for this form.

My main reason for interest in the problem isn’t pseudo-Riemannian geometry, however.  More on the main reason later.  (It has to do with the Koecher result cited above).

If you found this problem first on mathoverflow, and you have the answer, please post your answer there, and link to it here if you feel like it; if you encountered it first here, please post the answer here indicating you encountered the problem here, and it would be nice if you’d also post it on mathoverflow indicating you found it on my blog.  We can have a little race between we happy few who read this blog, and the overflowing mathematicians.  I know who I’m betting on—your mission, readers, should you choose to accept it, and should any of you actually exist, is to prove me wrong!

(Thanks to Will Jagy, of MSRI, for noticing that I defined nondegeneracy wrong here at first: as requiring that the only x for which B(x,x)=0 is x=0. This wrong definition, corrected above, of course says that the form has no nontrivial “isotropic” or “null” vectors (ones for which B(x,x)=0). And we certainly don’t want to assume that! Sorry about the slip-up, which I dont think affected anything else in the post.)

Gross, Mueller, Colbeck, and Dahlsten: “All reversible dynamics in maximally non-local theories are trivial”

Friday, October 16th, 2009

David Gross, Markus Mueller, Roger Colbeck, and Oscar Dahlsten have considered the “maximal non-signaling tensor product” of “boxlets”, and shown that the reversible dynamics of this state space consists just of permutations of the systems (the boxlets) followed by reversible local transformations (i.e., ones on the individual boxlets).

What the heck does that mean, you ask?  Well, “boxlets” were introduced in several contexts.  In the “operational quantum logic” literature they’re sometimes called “semiclassical test spaces”.  In quantum foundations and informations, they were introduced as a generalization of a notion of Popescu and Rohrlich, who introduced the two-measurement, two-outcome-per-measurement boxlet in order to describe correlations between measurement results on distinct systems that can be stronger than quantum correlations, but still don’t allow someone (”Alice”) in possession of one of the systems to signal to the other (”Bob”) just by making measurements on her system.

A “boxlet” is a system on which there are M distinct alternative measurements one can make, each with K outcomes.  (More complex versions allow different measurements to have different numbers of outcomes.)  The allowable states of a boxlet are given by specifying M probability distributions, each one over K alternatives:  for each measurement, the probabilities of each of its K outcomes.  All possible lists of M such distributions are allowed; this is a convex, compact subset of an MK dimensional vector space (one dimension for each probability).  The M normalization constraints mean that this set lies in an MK-M (i.e., M(K-1)) dimensional affine subspace  (higher dimensional generalization of the line, plane, etc… of high-school geometry).  The possible states of a pair of such systems are given by the “maximal tensor product” of a pair of these compact convex state spaces.  The technical definition of maximal tensor product of state spaces can be found here.  Another way of defining this is that it’s the state space of the  Foulis-Randall tensor product  of the “test spaces” (definitions reviewed in Sections II and IV of this paper) describing each of the boxlets.  A test space is just a collection of subsets of some set; the elements of the set interpreted as measurement outcomes, and the subsets, called “tests”, as measurements.  The semiclassical test space of a boxlet like the ones I described above just consists of a set of MK elements, partitioned into M sets of K elements.  A state on a (finite, like the ones in question) test space is a function from the set to the real numbers between zero and 1, i.e. to probabilities, such that for each test, the probabilities of the elements of the test add up to one.  The Foulis-Randall tensor product of two test spaces just takes their Cartesian product, and allows any probability assignments such that the “marginal states” obtained by fixing a measurement on one side and marginalizing all the joint distributions of this fixed measurement with measurements on the other side, is independent of which measurement is marginalized over.  That is, Alice can’t signal to Bob (by affecting the probabilities of the outcomes of one or more of his measurements) just by her choice of measurement.

Now, a transformation of the state space is an affine map from the state space to itself (i.e. one that preserves convex combination, which seems only reasonable), and a reversible one is one that has an inverse that is also an affine map of the state space.  So what GMCD are saying is that, if you combine boxlets this way, there are no very interesting reversible dynamics:  just combinations of local reversible dynamics on the individual boxlets, and permuting the boxes amongst themselves.

An interesting question is, can one extend this result to maximal tensor products of *arbitrary* systems with convex state space (locally equipped, let’s say, with the maximal set of possible effects)?

See the comments on the Information Causality thread at Dave Bacon’s blog for a bit more discussion (and related interesting matters).