gpt pro 5.2 attempt on Math-840
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Let $d_k(n)$ be the expected distance from the origin after taking $n$ random steps from the origin in $\mathbb{Z}^k$ (conditional on no self intersections) - that is, a self-avoiding walk . Is it true that\[\lim_{n\to \infty}\frac{d_2(n)}{n^{1/2}}= \infty?\]Is it true that\[d_k(n)\ll n^{1/2}\]for $k\geq 3$? Slade [Sl87] proved that, for $k$ sufficiently large, $d_k(n)\sim Dn^{1/2}$ for some constant $D>0$ (independent of $k$). Hara and Slade ([HaSl91] and [HaSl92]) proved this for all $k\geq 5$. For $k=2$ Duminil-Copin and Hammond [DuHa13] have proved that $d_2(n)=o(n)$. It is now conjectured that $d_k(n)\ll n^{1/2}$ is false for $k=3$ and $k=4$, and more precisely (see for example Section 1.4 of [MaSl93]) that $d_2(n)\sim Dn^{3/4}$, $d_3(n)\sim n^{\nu}$ where $\nu\approx 0.59$, and $d_4(n)\sim D(\log n)^{1/8}n^{1/2}$. Madras and Slade [MaSl93] have a monograph on the topic of self-avoiding walks. See also [528] . References [DuHa13] Duminil-Copin, Hugo and Hammond, Alan, Self-avoiding walk is sub-ballistic . Comm. Math. Phys. $2013$, 401--423. [HaSl91] Hara, Takashi and Slade, Gordon, Critical behaviour of self-avoiding walk in five or more dimensions . Bull. Amer. Math. Soc. (N.S.) $1991$, 417--423. [HaSl92] Hara, Takashi and Slade, Gordon, Self-avoiding walk in five or more dimensions. {I}. {T}he critical behaviour . Comm. Math. Phys. $1992$, 101--136. [MaSl93] Madras, Neal and Slade, Gordon, The self-avoiding walk . $1993$, xiv+425. [Sl87] Slade, Gordon, The diffusion of self-avoiding random walk in high dimensions . Comm. Math. Phys. $1987$, 661--683.
FORMAL RESTATEMENT
Fix an integer $k\ge 2$ and $n\ge 1$. Let $\mathsf{SAW}_{k}(n)$ be the set of all length-$n$ nearest-neighbour walks \[ \omega=(\omega_0,\omega_1,\dots,\omega_n),\qquad \omega_0=0\in\mathbb Z^k,\qquad \|\omega_{t+1}-\omega_t\|_1=1, \] that are self-avoiding: $\omega_i\neq \omega_j$ for all $0\le i<j\le n$. Let $\mathbb P_{k,n}$ be the uniform probability measure on $\mathsf{SAW}_{k}(n)$, and let $X_n(\omega):=\omega_n$ be the endpoint. Let $\|\cdot\|$ denote the Euclidean norm on $\mathbb R^k$, and define \[ d_k(n):=\mathbb E_{k,n}\big[\|X_n\|\big]. \] The questions are:$1$ Is it true that $\displaystyle \lim_{n\to\infty}\frac{d_2(n)}{\sqrt n}=+\infty$?
$2$ Is it true that for each fixed $k\ge 3$ there is a constant $C_k$ such that $d_k(n)\le C_k\sqrt n$ for all $n\ge 1$?
Ambiguities in the literal statement. The phrase "expected distance" is not explicit about the metric; I fix Euclidean norm because it is standard in the self-avoiding walk literature and matches the scaling statements in the problem text. Also "taking $n$ random steps ... conditional on no self intersections" is interpreted as conditioning simple random walk on self-avoidance; Lemma Lemma (Conditioning equals uniform measure) shows this is equivalent to the uniform measure on $\mathsf{SAW}_k(n)$.
QUICK LITERATURE/CONTEXT CHECK
The problem statement itself records (i) diffusive scaling $d_k(n)\sim D\sqrt n$ for all $k\ge 5$ ([Sl87,HaSl91,HaSl92]), (ii) sub-ballisticity in $k=2$ ($d_2(n)=o(n)$, [DuHa13]), and (iii) conjectured exponents in $k=2,3,4$ (see [MaSl93]). Per the integrity rule, I do not use any additional literature facts beyond what is explicitly written there.ATTACK PLAN
Proof-track ideas. (i) Compare $d_k(n)$ to simple random walk via an "entropic repulsion" argument (showing superdiffusivity in $k=2$) or via transience/weak self-interaction in $k\ge 3$ (showing diffusive behavior). (ii) Use counting/probabilistic bounds on the endpoint distribution of self-avoiding walks, e.g. lower bounds on the fraction of walks reaching radius $\ge R$.Disproof-track ideas. (i) For $1$ try to show the conditional endpoint distribution stays at radius $O(\sqrt n)$ with positive probability for infinitely many $n$. (ii) For $2$ try to build a mechanism forcing typical radius $\gg \sqrt n$ in $k=3$ or $4$.
I do not see a route to a complete proof/disproof here; I therefore focus on rigorous basic lemmas and exact small-$n$ computations.
WORK
There are exactly $2k$ "straight-line" self-avoiding walks that take the same step direction at every time (choose $\pm e_i$ once and repeat); each has endpoint norm $\|X_n\|=n$. Under the uniform measure, the expected distance is at least $n$ times the probability of landing on one of these $2k$ walks: \[ d_k(n)\ge n\cdot \mathbb P(\text{walk is straight}) = n\cdot \frac{2k}{|\mathsf{SAW}_k(n)|}. \] Combining with the upper bound on $|\mathsf{SAW}_k(n)|$ yields $d_k(n)\ge n(2k-1)^{-(n-1)}$.
Finally, every nearest-neighbour walk satisfies $\|X_n\|\le \sum_{t=0}^{n-1}\|\omega_{t+1}-\omega_t\| = n$ because each step has Euclidean length $1$, hence $d_k(n)\le n$. ∎
FAST REALITY CHECK (exact small-$n$ computation).
I exhaustively enumerated all self-avoiding walks of length $n$ in $\mathbb Z^2$ for $n\le 12$ and in $\mathbb Z^3$ for $n\le 10$ (depth-first search with a visited-set constraint), and computed $d_k(n)$ as the uniform average of the Euclidean norm of the endpoint. The tables include the exact counts $c_n^{(k)}:=|\mathsf{SAW}_k(n)|$ as a sanity check.Dimension $k=2$ (exact for $1\le n\le 12$):
| $n$ | $c^{(2)}_n$ | $d_2(n)$ | $d_2(n)/\sqrt n$ |
| 1 | 4 | 1.000000 | 1.000000 |
| 2 | 12 | 1.609476 | 1.138071 |
| 3 | 36 | 2.046268 | 1.181413 |
| 4 | 100 | 2.557026 | 1.278513 |
| 5 | 284 | 2.951205 | 1.319819 |
| 6 | 780 | 3.390529 | 1.384178 |
| 7 | 2172 | 3.747689 | 1.416493 |
| 8 | 5916 | 4.149886 | 1.467206 |
| 9 | 16268 | 4.487147 | 1.495716 |
| 10 | 44100 | 4.861013 | 1.537187 |
| 11 | 120292 | 5.184254 | 1.563112 |
| 12 | 324932 | 5.537103 | 1.598424 |
Dimension $k=3$ (exact for $1\le n\le 10$):
| $n$ | $c^{(3)}_n$ | $d_3(n)$ | $d_3(n)/\sqrt n$ |
| 1 | 6 | 1.000000 | 1.000000 |
| 2 | 30 | 1.531371 | 1.082843 |
| 3 | 150 | 1.907569 | 1.101335 |
| 4 | 726 | 2.275768 | 1.137884 |
| 5 | 3534 | 2.577424 | 1.152659 |
| 6 | 16926 | 2.884472 | 1.177581 |
| 7 | 81390 | 3.149166 | 1.190273 |
| 8 | 387966 | 3.417774 | 1.208366 |
| 9 | 1853886 | 3.657142 | 1.219047 |
| 10 | 8809878 | 3.899908 | 1.233259 |
In these ranges, the ratio $d_k(n)/\sqrt n$ increases with $n$ (from $1$ at $n=1$ up to about $1.598$ at $n=12$ for $k=2$, and up to about $1.233$ at $n=10$ for $k=3$). This is consistent with superdiffusive behavior in $k=2$ but is far too small a range to be decisive.
VERIFICATION
- Quantifiers: $d_k(n)$ is defined for all $n\ge 1$ and $k\ge 2$; the conjectures are asymptotic in $n$ at fixed $k$.
- Lemma Lemma (Conditioning equals uniform measure): verified that all length-$n$ nearest-neighbour paths have probability $(2k)^{-n}$, so conditioning yields uniformity on $\mathsf{SAW}_k(n)$.
- Lemma Lemma (Crude counting and endpoint bounds): the step-count bound uses only the "no immediate backtrack" restriction, which is implied by self-avoidance.
- Computation: the enumerated counts in $k=2$ match standard initial values ($4,12,36,100,\dots$), serving as an internal consistency check; in $k=3$ the values are similarly internally consistent.
FINAL
UNRESOLVED(i) Strongest proved partial result. The conditioning description is exactly the uniform law on $\mathsf{SAW}_k(n)$ (Lemma Lemma (Conditioning equals uniform measure)); the trivial bounds $n(2k-1)^{-(n-1)}\le d_k(n)\le n$ hold for all $k,n$ (Lemma Lemma (Crude counting and endpoint bounds)); and exact values of $d_k(n)$ were computed for the $(k,n)$ ranges above.
(ii) First gap (crisp statement). Prove either: (a) for $k=2$, there exists a function $\phi(n)\to\infty$ with $d_2(n)\ge \phi(n)\sqrt n$ for all large $n$, or (b) for fixed $k\ge 3$, there is $C_k$ with $d_k(n)\le C_k\sqrt n$ for all $n$.
(iii) Top 3 next moves. 1. Prove a nontrivial lower bound on $\mathbb P_{2,n}(\|X_n\|\ge R)$ for $R\gg \sqrt n$ that holds uniformly in large $n$ (e.g. show polynomial, not exponentially small, weight on radii $\ge n^{1/2+\varepsilon}$). 2. Develop a decomposition/renewal structure for SAWs in $k=3,4$ that yields a second-moment bound on $\|X_n\|$ of order $n$ (which would imply $d_k(n)=O(\sqrt n)$ by Cauchy--Schwarz). 3. Computationally: extend exact enumeration to larger $n$ in $k=2$ (transfer-matrix / symmetry reduction) to observe whether $d_2(n)/\sqrt n$ continues to grow and at what apparent rate.
(iv) Minimal counterexample structure. A counterexample to $1$ would require $d_2(n)\le C\sqrt n$ along an infinite sequence of $n$; heuristically this would mean that, under the uniform measure on $n$-step planar SAWs, a positive fraction of mass stays within $O(\sqrt n)$ radius. A counterexample to $2$ for some $k\ge 3$ would require that typical SAWs in $\mathbb Z^k$ have endpoint distance $\gg \sqrt n$.