2018
DOI: 10.1088/1751-8121/aab15e
|View full text |Cite
|
Sign up to set email alerts
|

Interacting partially directed self-avoiding walk: a probabilistic perspective

Abstract: We review some recent results obtained in the framework of the 2-dimensional Interacting Self-Avoiding Walk (ISAW). After a brief presentation of the rigorous results that have been obtained so far for ISAW we focus on the Interacting Partially Directed Self-Avoiding Walk (IPDSAW), a model introduced in Zwanzig and Lauritzen (1968) to decrease the mathematical complexity of ISAW.In the first part of the paper, we discuss how a new probabilistic approach based on a random walk representation (see Nguyen and Pét… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5
2

Relationship

2
5

Authors

Journals

citations
Cited by 8 publications
(8 citation statements)
references
References 37 publications
0
8
0
Order By: Relevance
“…Step 3. Let us now prove that ℓ 0 is uniquely defined and actually coincides with ℓ 0 for n large enough, with probability larger than 1 − p. To this end, let us first notice that for every η ∈ (0, 1), every ℓ that minimizes G n , on the intersection of (B.26) and A (10) n (ε 0 , η), and for n large enough (so that, in particular, A…”
Section: Appendix B Proof Of Proposition 23mentioning
confidence: 94%
See 1 more Smart Citation
“…Step 3. Let us now prove that ℓ 0 is uniquely defined and actually coincides with ℓ 0 for n large enough, with probability larger than 1 − p. To this end, let us first notice that for every η ∈ (0, 1), every ℓ that minimizes G n , on the intersection of (B.26) and A (10) n (ε 0 , η), and for n large enough (so that, in particular, A…”
Section: Appendix B Proof Of Proposition 23mentioning
confidence: 94%
“…This phenomenon can be observed in various models and under different forms. Let us mention for instance the collapse transition of a polymer in a poor solvent [10], the pinning of a polymer on a defect line [22,23], Anderson localization [27], localization of a polymer in a heterogeneous medium [12], confinement of random walks among obstacles [41]. Such models, which are often motivated by Biology, Chemistry or Physics, offer challenging mathematical problems and have been an active field of research.…”
Section: Introductionmentioning
confidence: 99%
“…We also recall from (2.6) that A N defines the algebraic area enclosed in-between a random walk trajectory and the x-axis after N steps. Recall (3.1) and (3.2), and let us now briefly remind the transformation that allows us to give a probabilistic representation of Z • L,β (we refer to [3] for a review on the recent progress made on IPDSAW by using probabilistic tools). First, note that for x, y ∈ Z one can write x ∧ y = 1 2 (|x| + |y| − |x + y|).…”
Section: 1mentioning
confidence: 99%
“…Appendix A. Local limit estimates, proof of Lemma 5.12 We will prove Lemma 5.12 subject to Proposition A.1 and Lemma A.2 that are stated below and which were proven in [3,Section 6]. To that aim, we recall (5.5-5.8) and we set B(h) = Hess L Λ (h), h ∈ D, (A.1) and…”
Section: Proof Of Theorem 22mentioning
confidence: 99%
“…We refer to [5] for a recent topical review about IPDSAW, but let us introduce the model in a few words. The IPDSAW is a polymer model whose configurations (of size L ∈ N) are given by the L-step trajectories of a self-avoiding walk taking unit steps up, down, and right.…”
Section: Extension and Applicationmentioning
confidence: 99%