Math-840-A2 · revision r1 · on Math-840

gpt pro 5.2 attempt on Math-840

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Manuscript

Contents
  1. FORMAL RESTATEMENT
  2. QUICK LITERATURE/CONTEXT CHECK
  3. ATTACK PLAN
  4. WORK
  5. FAST REALITY CHECK (exact small-$n$ computation).
  6. VERIFICATION
  7. FINAL

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

Lemma (Conditioning equals uniform measure): Let $(S_t)_{t=0}^n$ be simple random walk on $\mathbb Z^k$ started at $0$, i.e. $S_{t+1}-S_t$ is uniformly distributed on the $2k$ coordinate unit vectors $\{\pm e_i\}_{i=1}^k$ and independent over $t$. Let $E_n$ be the event that $(S_0,\dots,S_n)$ has no self-intersections. Then the conditional law of $(S_0,\dots,S_n)$ given $E_n$ is the uniform law on $\mathsf{SAW}_k(n)$.
Proof: Every specific nearest-neighbour walk $\omega$ of length $n$ has unconditioned probability $(2k)^{-n}$ under simple random walk, because each of the $n$ steps has probability $(2k)^{-1}$ and steps are independent. In particular, all $\omega\in\mathsf{SAW}_k(n)$ have the same probability $(2k)^{-n}$. Therefore, for each $\omega\in\mathsf{SAW}_k(n)$, \[ \mathbb P\big((S_0,\dots,S_n)=\omega\mid E_n\big) =\frac{\mathbb P((S_0,\dots,S_n)=\omega)}{\mathbb P(E_n)} =\frac{(2k)^{-n}}{|\mathsf{SAW}_k(n)|(2k)^{-n}} =\frac1{|\mathsf{SAW}_k(n)|}. \] Thus the conditional distribution is uniform on $\mathsf{SAW}_k(n)$. ∎
Lemma (Crude counting and endpoint bounds): For each $k\ge 2$ and $n\ge 1$, \[ |\mathsf{SAW}_k(n)| \le 2k\,(2k-1)^{n-1}. \] Moreover, $|\mathsf{SAW}_k(n)|\ge 2k$ and hence \[ d_k(n)\ge n\cdot \frac{2k}{|\mathsf{SAW}_k(n)|}\ge n\,(2k-1)^{-(n-1)}. \] Also, $d_k(n)\le n$ for all $k,n$.
Proof: For the upper bound: the first step has exactly $2k$ choices. For each subsequent step, there are at most $2k-1$ choices, because the walk cannot immediately return to the previous vertex (that move would repeat $\omega_{t-1}$ at time $t+1$). Self-avoidance can only further restrict choices, so the total number of walks is at most $2k(2k-1)^{n-1}$.

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$
141.0000001.000000
2121.6094761.138071
3362.0462681.181413
41002.5570261.278513
52842.9512051.319819
67803.3905291.384178
721723.7476891.416493
859164.1498861.467206
9162684.4871471.495716
10441004.8610131.537187
111202925.1842541.563112
123249325.5371031.598424

Dimension $k=3$ (exact for $1\le n\le 10$):

$n$$c^{(3)}_n$$d_3(n)$$d_3(n)/\sqrt n$
161.0000001.000000
2301.5313711.082843
31501.9075691.101335
47262.2757681.137884
535342.5774241.152659
6169262.8844721.177581
7813903.1491661.190273
83879663.4177741.208366
918538863.6571421.219047
1088098783.8999081.233259

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 $\gg \sqrt n$.