12.07.2015 Views

Approaches to Quantum Gravity

Approaches to Quantum Gravity

Approaches to Quantum Gravity

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

The causal set approach <strong>to</strong> <strong>Quantum</strong> <strong>Gravity</strong> 399fluctuations” <strong>to</strong> be physically significant, and so we may need a condition of“manifoldlikeness” that is more forgiving than faithful embedding. A possiblemethod is given by coarse-graining [2]: removal of some points from the causalset C forming a new causal set C ′ , before testing C ′ for faithful embeddability atthe appropriate lower density of sprinkling ρ ′ . For example, this might reasonablybe done at random with the same probability p for removal of each element, andρ ′ = ρ(1 − p). This basically amounts <strong>to</strong> looking for a faithfully embeddable subse<strong>to</strong>f a causal set, following a certain set of rules. Below, the criterion of faithfulembeddability will be the one used, but it should be kept in mind that the causetsbeing talked about could be coarse-grainings of some larger causet.21.1.4 Reconstructing the continuumThe concept of faithful embedding gives the criterion for a manifold <strong>to</strong> approximate<strong>to</strong> a causet. But it is important <strong>to</strong> realise that the only use of sprinkling is <strong>to</strong>assign continuum approximations; the causal set itself is the fundamental structure.How then can this approximate discrete/continuum correspondence be used? Thatis, given a causal set that approximates a spacetime, how do we find an approximation<strong>to</strong> some particular property x of that spacetime? We need <strong>to</strong> find a propertyof the causal set itself, x(C), that approximates the value of x(M) with high probabilityfor a sprinkling of a spacetime M. Such estima<strong>to</strong>rs exist for dimension[38; 24; 39] timelike distance between points [40], and of course volumes. Asanother example, methods have been developed <strong>to</strong> retrieve <strong>to</strong>pological informationabout spatial hypersurfaces in approximating Lorentzian manifolds, by referenceonly <strong>to</strong> the underlying causet [41].A simple example of how such estima<strong>to</strong>rs work is given by one of the estima<strong>to</strong>rsof timelike distance. Firstly the volume of the interval causally between two elementscan be easily estimated from the causal set (it is approximately proportional<strong>to</strong> the number of elements in that causally defined region). In Minkowski space,this volume is related <strong>to</strong> the distance between the points, in a way that dependson dimension. Therefore, given the dimension, this timelike distance can also beestimated. See [40] for a different distance measure conjectured <strong>to</strong> hold for curvedspacetimes [24], and a way <strong>to</strong> identify approximations <strong>to</strong> timelike geodesics. Asthis other distance measure does not depend on the dimension, the two can becompared <strong>to</strong> give a dimension estima<strong>to</strong>r.Given a causal set C without an embedding (this is after all our fundamentalstructure) it would be of great utility <strong>to</strong> be able <strong>to</strong> say if it was faithfully embeddablein<strong>to</strong> some spacetime or not – a criterion of “manifoldlikeness” – and if so<strong>to</strong> provide an embedding. The discrete-continuum correspondence given abovedoes not directly answer this question; it would be highly impractical <strong>to</strong> carry

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!