The model getdoc5051. 283KB Jun 04 2011 12:04:22 AM

Localization for ∇ + ∆-pinning models 535 {ϕ i } i −1 0 N Figure 1: A sample trajectory of the model P ǫ,N .

1.1 The model

We first define the Hamiltonian, which describes the self-interaction of the field ϕ = {ϕ i } i : H [−1,N+1] ϕ = H [−1,N+1] ϕ −1 , ..., ϕ N +1 := N +1 X i=1 V 1 ∇ϕ i + N X i=0 V 2 ∆ϕ i , 1 where N represents the length of the chain. The discrete gradient and Laplacian of the field are defined respectively by ∇ϕ i := ϕ i − ϕ i −1 and ∆ ϕ i := ∇ϕ i+1 − ∇ϕ i = ϕ i+1 + ϕ i −1 − 2ϕ i . The precise assumptions on the potentials V 1 and V 2 are stated below. Given the strength of the pinning attraction ǫ ≥ 0 between the chain and the defect line, we define our model P ǫ,N as the following probability measure on R N −1 : P ǫ,N dϕ 1 , . . . , d ϕ N −1 := exp −H [−1,N+1] ϕ Z ǫ,N N −1 Y i=1 ǫδ dϕ i + dϕ i 2 where we denote by δ · the Dirac mass at zero, by dϕ i = Lebd ϕ i the Lebesgue measure on R and we choose for simplicity zero boundary conditions: ϕ −1 = ϕ = ϕ N = ϕ N +1 = 0 see Figure 1. The normalization constant Z ǫ,N appearing in 2 plays an important role, as we are going to see in a moment: it is called partition function and is given by Z ǫ,N = Z R N −1 e −H [−1,N+1] ϕ N −1 Y i=1 ǫδ dϕ i + dϕ i . 3 We assume that the potentials V 1 , V 2 : R → R appearing in 1 are measurable functions satisfying the following conditions: C1 V 1 is bounded from below inf x ∈R V 1 x −∞, symmetric V 1 x = V 1 −x for every x ∈ R, such that lim |x|→∞ V 1 x = +∞ and R R e −2V 1 x dx ∞. C2 V 2 is bounded from below inf x ∈R V 2 x −∞, bounded from above in a neighborhood of zero sup |x|≤γ V 2 x ∞ for some γ 0 and such that R R |x| e −V 2 x dx ∞. We stress that no continuity assumption is made. The symmetry of V 1 ensures that there is no “local drift” for the gradient of the field remarkably, no such assumption on V 2 is necessary; see also Remark 7 below. We point out that the hypothesis that both V 1 and V 2 are finite everywhere 536 Electronic Communications in Probability could be relaxed, allowing them to take the value + ∞ outside some interval −M, M, but we stick for simplicity to the above stated assumptions. The model P ǫ,N is an example of a random polymer model, more precisely a homogeneous pinning model. A lot of attention has been devoted to this class of models in the recent mathematical literature see [ 8 , 7 ] for two beautiful monographs. The main question, for models like ours, is whether the pinning reward ǫ ≥ 0 is strong enough to localize the field at the defect line for large N . The case when the self-interaction of the field is of purely gradient type, i.e., when V 2 ≡ 0 in 1, has been studied in depth [ 1 , 3 , 6 , 2 ], as well as the purely Laplacian case when V 1 ≡ 0, cf. [ 4 , 5 ]. We now consider the mixed case when both V 1 6≡ 0 and V 2 6≡ 0, which is especially interesting from a physical viewpoint, because of its direct relevance in modeling semiflexible polymers, cf. [ 9 ]. Intuitively, the gradient interaction penalizes large elongations of the chain while the Laplacian interaction penalizes curvature and bendings.

1.2 Free energy and localization properties

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