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Approaches to Quantum Gravity

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36 R. D. Sorkin(as one might have expected) when K is held fixed as N increases. The means areaccurate by construction, in the sense that they exactly 7 reproduce the continuumexpression ¯B K φ (which in turn reproduces φ <strong>to</strong> an accuracy of around 1% forK > ∼200). (It should also be possible <strong>to</strong> estimate the fluctuations analytically, butIhavenottried<strong>to</strong>doso.)In any case, we can conclude that “discretized D’Alembertians” suitable forcausal sets do exist, a fairly simple one-parameter family of them being given by(3.7). The parameter ɛ in that expression determines the scale of the nonlocalityvia ɛ = Kl 2 , and it must be ≪ 1 if we want the fluctuations in Bφ <strong>to</strong> be small. Inother words, we need a significant separation between the two length-scales l andλ 0 = K −1/2 = l/ √ ɛ.3.2 Higher dimensionsSo far, we have been concerned primarily with two-dimensional causets (onesthat are well approximated by two-dimensional spacetimes). Moreover, the quotedresult, (3.3) cum(3.6), has been proved only under the additional assumption offlatness, although it seems likely that it could be extended <strong>to</strong> the curved case. Moreimportant, however, is finding D’Alembertian opera<strong>to</strong>rs/matrices for four and otherdimensions. It turns out that one can do this systematically in a way that generalizeswhat we did in two dimensions.Let me illustrate the underlying ideas in the case of four dimensional Minkowskispace M 4 .InM 2 we began with the D’Alembertian matrix B xy , averaged over sprinklings<strong>to</strong> get ¯B(x − y), and “discretized” a rescaled ¯B <strong>to</strong> get the matrix (B K ) xy .Itturns out that this same procedure works in four dimensions if we begin with thecoefficient pattern 1 −33−1 instead of 1 −2 1.To see why it all works, however, it is better <strong>to</strong> start with the integral kernel andnot the matrix (now that we know how <strong>to</strong> pass between them). In M 2 we found ¯Bin the form of a delta-function plus a term in p(ξ) exp(−ξ), where ξ = K v(x, y),and v(x, y) was the volume of the order-interval 〈y, x〉, or equivalently – in M 2 –Synge’s “world function”. In other dimensions this equivalence breaks down andwe can imagine using either the world function or the volume (one being a simplepower of the other, up <strong>to</strong> a multiplicative constant). Whichever one chooses, the realtask is <strong>to</strong> find the polynomial p(ξ) (<strong>to</strong>gether with the coefficient of the companiondelta-function term).To that end, notice that the combination p(ξ) exp(−ξ) can always be expressedas the result of a differential opera<strong>to</strong>r O in ∂/∂K actingonexp(−ξ). But then,7 Strictly speaking, this assumes that the number of sprinkled points is Poisson distributed, rather than fixed.

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