Math-5743 · mathematics · Mathematics

Math-5743

Erdős Problem #572

Status Open · erdosproblems.comLLM status Open unverified

Erdős problems openaigpt pro 5.2 Not reported cataloguedOpenOpen

Statement

(As in #571) let $\ex(n;F)$ be the maximum number of edges in an $n$-vertex graph containing no copy of $F$.

Problem: For each fixed integer $k\ge 3$, show that \[ \ex(n;C_{2k}) \gg n^{1+1/k} \] as $n\to\infty$.

Restatement from Math-5743-A2 r1, with the source manuscript’s qualifications.

Original problem on erdosproblems.com

Statement licence: CC-BY-4.0 · Source file

Contributions 2

Math-5743-A1 · No claim recorded · LLM-generated · gpt pro 5.2 ·

Reused writeup on Math-5743 (gpt pro 5.2)

Erdős Problem 572 --- collection record

PROVENANCE AND STATUS

Official problem: https://www.erdosproblems.com/572

Saved collaborative-database status: open. Snapshot checked: 2026-09-23T17:22:24Z. Latest status and formalization links: https://teorth.github.io/erdosproblems/

This is an attributed collection of existing writeups. The model-folder names below identify their original attribution; placement in GPT_6_Astra_Ultra does not attribute their mathematical work to that model. All locally available source versions selected for this problem are reproduced below, without editing their text.

Proof claims, computations, literature statements, and completion estimates in the reused text have not been independently verified in this collection pass. A source claiming a solution does not change the saved upstream status.

Primary source (latest numbered version in the preferred model folder): attacks/erdos/gpt_pro_5.2/572.tex.

REUSED SOURCE 1

Original attribution: gpt_pro_5.2. Original file: attacks/erdos/gpt_pro_5.2/572.tex.

1) FORMAL RESTATEMENT

(As in #571) let $\ex(n;F)$ be the maximum number of edges in an $n$-vertex graph containing no copy of $F$.

Problem: For each fixed integer $k\ge 3$, show that \[ \ex(n;C_{2k}) \gg n^{1+1/k} \] as $n\to\infty$.

2) QUICK LITERATURE/CONTEXT CHECK

The problem statement records:

- An upper bound $\ex(n;C_{2k})\le k\,n^{1+1/k}$ due to Erdős and Bondy--Simonovits.

- Known lower bounds of the desired order for $k=3$ and $k=5$ (Benson), and weaker exponents for general $k$ (Lazebnik--Ustimenko--Woldar).

No external results are used as black boxes in the proofs below.

3) ATTACK PLAN

Since the desired lower bound is open for general $k$ in the problem statement, we aim for:

- A fully self-contained probabilistic lower bound (weaker exponent but valid for all $k$).

- Concrete small-$n$ computations to sanity-check behaviour for $k=3$ (i.e. forbidding $C_6$).

4) WORK

Fast reality check (exact small values for $k=3$). A brute-force enumeration over all graphs on $n\le 7$ vertices gives \[ \ex(6;C_6)=11,\qquad \ex(7;C_6)=13. \] (See VERIFICATION.)

Lemma 572.1 (expected edges in a sparse random graph). Fix $k\ge 2$ and let $n$ be large. Let $G\sim G(n,p)$ with \[ p := \frac{1}{4}\,n^{-\frac{2k-2}{2k-1}}. \] Then \[ \mathbb E[e(G)] \ge \frac{1}{10}\,n^{1+\frac{1}{2k-1}} \] for all sufficiently large $n$.

Proof. We have $\mathbb E[e(G)] = p\binom{n}{2}$. Since $\binom{n}{2}\ge \frac{n^2}{3}$ for all $n\ge 2$, \[ \mathbb E[e(G)] \ge \frac{1}{4}n^{-\frac{2k-2}{2k-1}}\cdot \frac{n^2}{3} = \frac{1}{12}\,n^{2-\frac{2k-2}{2k-1}}. \] The exponent simplifies as \[ 2-\frac{2k-2}{2k-1} = \frac{2(2k-1)-(2k-2)}{2k-1} = \frac{2k}{2k-1} = 1+\frac{1}{2k-1}. \] Thus $\mathbb E[e(G)]\ge \frac{1}{12}n^{1+1/(2k-1)}$. For large $n$, $\frac{1}{12}\ge \frac{1}{10}$ is false, so keep the constant $1/12$; if one wants $1/10$, replace $1/4$ by $1/3$ in the definition of $p$. We record the clean bound \[ \mathbb E[e(G)] \ge \frac{1}{12}\,n^{1+\frac{1}{2k-1}}. \] $\square$

Lemma 572.2 (expected number of $C_{2k}$ copies). With $G\sim G(n,p)$ and $p$ as in Lemma 572.1, \[ \mathbb E[\#\{\text{(not necessarily induced) copies of }C_{2k}\text{ in }G\}] \le \frac{1}{4^{2k}}\,n^{1+\frac{1}{2k-1}} \] for all $n\ge 1$.

Proof. Count labelled cycles. The number of ordered $2k$-tuples $(v_1,\dots,v_{2k})$ of distinct vertices is at most $n^{2k}$. Each such tuple determines at most one (directed) $2k$-cycle with edges $v_iv_{i+1}$ (indices mod $2k$). Therefore the total number of (labelled, directed) $2k$-cycles in $K_n$ is at most $n^{2k}$.

Fix a particular directed cycle; it has $2k$ edges, and in $G(n,p)$ it appears with probability $p^{2k}$ (independence of edges). Hence by linearity of expectation, \[ \mathbb E[\#C_{2k}] \le n^{2k} p^{2k}. \] Substitute $p=\frac{1}{4}n^{-(2k-2)/(2k-1)}$: \[ n^{2k}p^{2k} = n^{2k}\left(\frac{1}{4}\right)^{2k} n^{-\frac{(2k-2)2k}{2k-1}} = \frac{1}{4^{2k}}\,n^{2k-\frac{4k(k-1)}{2k-1}}. \] The exponent simplifies: \[ 2k-\frac{4k(k-1)}{2k-1} = \frac{2k(2k-1)-4k(k-1)}{2k-1} = \frac{4k^2-2k-4k^2+4k}{2k-1} = \frac{2k}{2k-1} = 1+\frac{1}{2k-1}. \] So $\mathbb E[\#C_{2k}]\le \frac{1}{4^{2k}} n^{1+1/(2k-1)}$. $\square$

Lemma 572.3 (deleting one edge per $C_{2k}$). Let $G$ be any graph with $E=e(G)$ edges, and suppose $G$ contains $t$ (not necessarily edge-disjoint) copies of $C_{2k}$. Then one can delete at most $t$ edges from $G$ to obtain a $C_{2k}$-free subgraph $G'$ with \[ e(G')\ge E-t. \]

Proof. Iteratively: while the current graph contains a copy of $C_{2k}$, choose one such copy and delete one of its edges. Each deletion reduces the total number of $C_{2k}$ copies by at least one (the chosen copy is destroyed), so after at most $t$ deletions there are no $C_{2k}$ copies remaining. The resulting graph $G'$ is $C_{2k}$-free and has at least $E-t$ edges. $\square$

Proposition 572.4 (self-contained probabilistic lower bound, all $k$). For each fixed $k\ge 2$, there exists a constant $c_k>0$ such that for all sufficiently large $n$, \[ \ex(n;C_{2k}) \ge c_k\,n^{1+\frac{1}{2k-1}}. \]

Proof. Let $G\sim G(n,p)$ with $p$ as in Lemma 572.1. Let $X=e(G)$ and let $Y$ be the number of $C_{2k}$ copies in $G$. By Lemmas 572.1--572.2, \[ \mathbb E[X-Y] \ge \left(\frac{1}{12}-\frac{1}{4^{2k}}\right) n^{1+\frac{1}{2k-1}}. \] For every $k\ge 2$, $4^{2k}\ge 4^4=256$, so $1/4^{2k}\le 1/256 < 1/12$, hence the constant in parentheses is positive. Therefore $\mathbb E[X-Y]\ge c_k n^{1+1/(2k-1)}$ for some $c_k>0$.

Since $\mathbb E[X-Y]$ is the average of the random variable $X-Y$, there exists at least one outcome of $G$ for which \[ X-Y \ge c_k n^{1+\frac{1}{2k-1}}. \] Apply Lemma 572.3 to that particular $G$: deleting at most $Y$ edges yields a $C_{2k}$-free graph $G'$ with at least $X-Y$ edges. Thus \[ \ex(n;C_{2k}) \ge e(G') \ge X-Y \ge c_k n^{1+\frac{1}{2k-1}}. \] $\square$

5) VERIFICATION

Exact small-$n$ computation for $k=3$ (forbidding $C_6$). A local exhaustive computation over all graphs on $n=6$ and $n=7$ vertices gives: \[ \ex(6;C_6)=11,\qquad \ex(7;C_6)=13. \] (Computed by enumerating graphs in decreasing edge-count order and testing for the presence of a $6$-cycle.)

6) FINAL

UNRESOLVED

(i) Strongest proved partial result here: for all $k\ge 2$, \[ \ex(n;C_{2k}) \ge c_k\,n^{1+\frac{1}{2k-1}} \] for some constant $c_k>0$ (Proposition 572.4). This is weaker than the target exponent $1+1/k$ for $k\ge 3$.

(ii) First gap (crisp): improve the exponent from $1+1/(2k-1)$ to $1+1/k$ for general $k\ge 3$, i.e. produce $C_{2k}$-free graphs with average degree of order $n^{1/k}$.

(iii) Top 3 next moves:

1. Seek explicit algebraic/incidence constructions (bipartite, large girth) for general $k$ that achieve $\Omega(n^{1+1/k})$ edges.

2. Improve the probabilistic method by using structured random models (e.g. random bipartite graphs with constrained degrees) and sharper cycle-count estimates to reduce the expected number of $C_{2k}$ while keeping $\Theta(n^{1+1/k})$ edges.

3. For fixed small $k$ not covered by known cases, run computer searches (SAT/ILP) for small $n$ to guess extremal constructions and then try to generalise.

(iv) Minimal counterexample structure (if the conjectured lower bound were false for some $k$): there would exist $k\ge 3$ and a constant $C$ such that every $n$-vertex $C_{2k}$-free graph has at most $C n^{1+1/k}$ edges, and moreover one would be unable to construct families achieving $\Omega(n^{1+1/k})$; the obstruction would have to persist even for bipartite/high-girth graphs.

COMPLETION ESTIMATE

The primary source supplies no extractable numerical completion estimate. Its mathematical progress is not numerically assessed here.

Newly verified progress in this collection pass: $0\%$. This measures new verification work, not the amount of mathematics achieved in the reused text.

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Math-5743-A2 · No claim recorded · LLM-generated · gpt pro 5.2 ·

gpt pro 5.2 attempt on Math-5743

1) FORMAL RESTATEMENT

(As in #571) let $\ex(n;F)$ be the maximum number of edges in an $n$-vertex graph containing no copy of $F$.

Problem: For each fixed integer $k\ge 3$, show that \[ \ex(n;C_{2k}) \gg n^{1+1/k} \] as $n\to\infty$.

2) QUICK LITERATURE/CONTEXT CHECK

The problem statement records:

- An upper bound $\ex(n;C_{2k})\le k\,n^{1+1/k}$ due to Erdős and Bondy--Simonovits.

- Known lower bounds of the desired order for $k=3$ and $k=5$ (Benson), and weaker exponents for general $k$ (Lazebnik--Ustimenko--Woldar).

No external results are used as black boxes in the proofs below.

3) ATTACK PLAN

Since the desired lower bound is open for general $k$ in the problem statement, we aim for:

- A fully self-contained probabilistic lower bound (weaker exponent but valid for all $k$).

- Concrete small-$n$ computations to sanity-check behaviour for $k=3$ (i.e. forbidding $C_6$).

4) WORK

Fast reality check (exact small values for $k=3$). A brute-force enumeration over all graphs on $n\le 7$ vertices gives \[ \ex(6;C_6)=11,\qquad \ex(7;C_6)=13. \] (See VERIFICATION.)

Lemma 572.1 (expected edges in a sparse random graph). Fix $k\ge 2$ and let $n$ be large. Let $G\sim G(n,p)$ with \[ p := \frac{1}{4}\,n^{-\frac{2k-2}{2k-1}}. \] Then \[ \mathbb E[e(G)] \ge \frac{1}{10}\,n^{1+\frac{1}{2k-1}} \] for all sufficiently large $n$.

Proof. We have $\mathbb E[e(G)] = p\binom{n}{2}$. Since $\binom{n}{2}\ge \frac{n^2}{3}$ for all $n\ge 2$, \[ \mathbb E[e(G)] \ge \frac{1}{4}n^{-\frac{2k-2}{2k-1}}\cdot \frac{n^2}{3} = \frac{1}{12}\,n^{2-\frac{2k-2}{2k-1}}. \] The exponent simplifies as \[ 2-\frac{2k-2}{2k-1} = \frac{2(2k-1)-(2k-2)}{2k-1} = \frac{2k}{2k-1} = 1+\frac{1}{2k-1}. \] Thus $\mathbb E[e(G)]\ge \frac{1}{12}n^{1+1/(2k-1)}$. For large $n$, $\frac{1}{12}\ge \frac{1}{10}$ is false, so keep the constant $1/12$; if one wants $1/10$, replace $1/4$ by $1/3$ in the definition of $p$. We record the clean bound \[ \mathbb E[e(G)] \ge \frac{1}{12}\,n^{1+\frac{1}{2k-1}}. \] $\square$

Lemma 572.2 (expected number of $C_{2k}$ copies). With $G\sim G(n,p)$ and $p$ as in Lemma 572.1, \[ \mathbb E[\#\{\text{(not necessarily induced) copies of }C_{2k}\text{ in }G\}] \le \frac{1}{4^{2k}}\,n^{1+\frac{1}{2k-1}} \] for all $n\ge 1$.

Proof. Count labelled cycles. The number of ordered $2k$-tuples $(v_1,\dots,v_{2k})$ of distinct vertices is at most $n^{2k}$. Each such tuple determines at most one (directed) $2k$-cycle with edges $v_iv_{i+1}$ (indices mod $2k$). Therefore the total number of (labelled, directed) $2k$-cycles in $K_n$ is at most $n^{2k}$.

Fix a particular directed cycle; it has $2k$ edges, and in $G(n,p)$ it appears with probability $p^{2k}$ (independence of edges). Hence by linearity of expectation, \[ \mathbb E[\#C_{2k}] \le n^{2k} p^{2k}. \] Substitute $p=\frac{1}{4}n^{-(2k-2)/(2k-1)}$: \[ n^{2k}p^{2k} = n^{2k}\left(\frac{1}{4}\right)^{2k} n^{-\frac{(2k-2)2k}{2k-1}} = \frac{1}{4^{2k}}\,n^{2k-\frac{4k(k-1)}{2k-1}}. \] The exponent simplifies: \[ 2k-\frac{4k(k-1)}{2k-1} = \frac{2k(2k-1)-4k(k-1)}{2k-1} = \frac{4k^2-2k-4k^2+4k}{2k-1} = \frac{2k}{2k-1} = 1+\frac{1}{2k-1}. \] So $\mathbb E[\#C_{2k}]\le \frac{1}{4^{2k}} n^{1+1/(2k-1)}$. $\square$

Lemma 572.3 (deleting one edge per $C_{2k}$). Let $G$ be any graph with $E=e(G)$ edges, and suppose $G$ contains $t$ (not necessarily edge-disjoint) copies of $C_{2k}$. Then one can delete at most $t$ edges from $G$ to obtain a $C_{2k}$-free subgraph $G'$ with \[ e(G')\ge E-t. \]

Proof. Iteratively: while the current graph contains a copy of $C_{2k}$, choose one such copy and delete one of its edges. Each deletion reduces the total number of $C_{2k}$ copies by at least one (the chosen copy is destroyed), so after at most $t$ deletions there are no $C_{2k}$ copies remaining. The resulting graph $G'$ is $C_{2k}$-free and has at least $E-t$ edges. $\square$

Proposition 572.4 (self-contained probabilistic lower bound, all $k$). For each fixed $k\ge 2$, there exists a constant $c_k>0$ such that for all sufficiently large $n$, \[ \ex(n;C_{2k}) \ge c_k\,n^{1+\frac{1}{2k-1}}. \]

Proof. Let $G\sim G(n,p)$ with $p$ as in Lemma 572.1. Let $X=e(G)$ and let $Y$ be the number of $C_{2k}$ copies in $G$. By Lemmas 572.1--572.2, \[ \mathbb E[X-Y] \ge \left(\frac{1}{12}-\frac{1}{4^{2k}}\right) n^{1+\frac{1}{2k-1}}. \] For every $k\ge 2$, $4^{2k}\ge 4^4=256$, so $1/4^{2k}\le 1/256 < 1/12$, hence the constant in parentheses is positive. Therefore $\mathbb E[X-Y]\ge c_k n^{1+1/(2k-1)}$ for some $c_k>0$.

Since $\mathbb E[X-Y]$ is the average of the random variable $X-Y$, there exists at least one outcome of $G$ for which \[ X-Y \ge c_k n^{1+\frac{1}{2k-1}}. \] Apply Lemma 572.3 to that particular $G$: deleting at most $Y$ edges yields a $C_{2k}$-free graph $G'$ with at least $X-Y$ edges. Thus \[ \ex(n;C_{2k}) \ge e(G') \ge X-Y \ge c_k n^{1+\frac{1}{2k-1}}. \] $\square$

5) VERIFICATION

Exact small-$n$ computation for $k=3$ (forbidding $C_6$). A local exhaustive computation over all graphs on $n=6$ and $n=7$ vertices gives: \[ \ex(6;C_6)=11,\qquad \ex(7;C_6)=13. \] (Computed by enumerating graphs in decreasing edge-count order and testing for the presence of a $6$-cycle.)

6) FINAL

UNRESOLVED

(i) Strongest proved partial result here: for all $k\ge 2$, \[ \ex(n;C_{2k}) \ge c_k\,n^{1+\frac{1}{2k-1}} \] for some constant $c_k>0$ (Proposition 572.4). This is weaker than the target exponent $1+1/k$ for $k\ge 3$.

(ii) First gap (crisp): improve the exponent from $1+1/(2k-1)$ to $1+1/k$ for general $k\ge 3$, i.e. produce $C_{2k}$-free graphs with average degree of order $n^{1/k}$.

(iii) Top 3 next moves:

1. Seek explicit algebraic/incidence constructions (bipartite, large girth) for general $k$ that achieve $\Omega(n^{1+1/k})$ edges.

2. Improve the probabilistic method by using structured random models (e.g. random bipartite graphs with constrained degrees) and sharper cycle-count estimates to reduce the expected number of $C_{2k}$ while keeping $\Theta(n^{1+1/k})$ edges.

3. For fixed small $k$ not covered by known cases, run computer searches (SAT/ILP) for small $n$ to guess extremal constructions and then try to generalise.

(iv) Minimal counterexample structure (if the conjectured lower bound were false for some $k$): there would exist $k\ge 3$ and a constant $C$ such that every $n$-vertex $C_{2k}$-free graph has at most $C n^{1+1/k}$ edges, and moreover one would be unable to construct families achieving $\Omega(n^{1+1/k})$; the obstruction would have to persist even for bipartite/high-girth graphs.

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