13.07.2015 Views

Fast and Exact Simulation of Large Gaussian Lattice Systems in ...

Fast and Exact Simulation of Large Gaussian Lattice Systems in ...

Fast and Exact Simulation of Large Gaussian Lattice Systems in ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

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

Table 4: Criteria <strong>of</strong> the Pólya Type for Isotropic Covariance Functions <strong>in</strong> 2 . A cont<strong>in</strong>uous functionϕ on [0, ∞) belongs to the class Φ 2 if ϕ(0) is positive, lim t→∞ ϕ(t) = 0, <strong>and</strong> if the convexity or thenonnegativity condition <strong>in</strong> the table holds.Convexity Condition Requires ReferenceNonnegativity Conditionϕ(t 2 ) convex α ≤2 1 Gneit<strong>in</strong>g (1999a)ϕ ′ (t) + 2tϕ ′′ (t) ≥ 0−ϕ ′ (t 1/2 ) convex α ≤ 1 Gneit<strong>in</strong>g (1999b)ϕ ′′ (t) − tϕ ′′′ (t) ≥ 0( )t −2 2ϕ ′ (t 1/2 ) − 2t 1/2 ϕ ′′ (t 1/2 ) + tϕ ′′′ (t 1/2 ) convex α ≤ 2 Gneit<strong>in</strong>g (2001)48 (ϕ ′′ (t) − ϕ ′ (t)) − 24t 2 ϕ ′′′ (t) + 7tϕ (iv) (t) − t 4 ϕ (v) (t) ≥ 0respectively. We experimented with various other forms <strong>of</strong> ψ, but the results were generally <strong>of</strong>limited use. For <strong>in</strong>stance, analogues <strong>of</strong> Theorem 1 <strong>and</strong> Theorem 2 apply when ψ(t) = b(r c − t c )where 0 < c ≤ 1 2 , <strong>and</strong> ψ(t) = b(r − t)c where c ≥ 2, respectively, with b <strong>and</strong> r chosen such that ρ issmooth. However, the cut-<strong>of</strong>f embedd<strong>in</strong>g approach calls for small values <strong>of</strong> the cut-<strong>of</strong>f, r, <strong>and</strong> thelatter is mimimal when c = 1 2<strong>and</strong> c = 2, respectively.Theorem 1 Let ϕ be a cont<strong>in</strong>uous function on [0, 1] such that ϕ(t 2 ) is positive <strong>and</strong> convex <strong>and</strong>ϕ ′ (1) is negative. Then the function ρ on [0, ∞) def<strong>in</strong>ed by⎧⎪⎨ϕ(t), 0 ≤ t ≤ 1,ρ(t) = b(r⎪⎩1/2 − t 1/2 ), 1 ≤ t ≤ r,(8)0, t ≥ r,where(r = 1 − 1 )ϕ(1) 22 ϕ ′ , b = −2ϕ ′ (1), (9)(1)belongs to the class Φ 2 .Note that r <strong>and</strong> b are chosen such that ρ is cont<strong>in</strong>uous <strong>and</strong> differentiable at t = 1. We skip thepro<strong>of</strong> <strong>of</strong> Theorem 1, which consists <strong>in</strong> a straightforward reduction to the first criterion <strong>in</strong> Table 4.For covariances <strong>of</strong> powered exponential type, ϕ(t) = exp(−(θt) α ), <strong>and</strong> for covariances <strong>of</strong> Cauchytype, ϕ(t) = (1 + (θt) α ) −β/α , the conditions <strong>of</strong> the theorem are satisfied if <strong>and</strong> only if α ≤ 1 2 . If ϕis powered exponential with α =2 1 <strong>and</strong> θ = 1, we recover eq. (3). If ϕ belongs to the Matérn class,that is, ifϕ(t) = 21−νΓ(ν) (θt)ν K ν (θt),where K ν is a modified Bessel function <strong>of</strong> <strong>in</strong>dex ν > 0, we getϕ ′ (t) = − 21−νΓ(ν) θν+1 t ν K ν−1 (θt).8

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

Saved successfully!

Ooh no, something went wrong!