Diameter and mixing time of the giant component in the percolated hypercube
Pith reviewed 2026-05-18 06:37 UTC · model grok-4.3
The pith
In bond percolation on the d-dimensional hypercube at p = c/d for fixed c > 1, the giant component has diameter of order Θ(d) and the lazy random walk on it mixes in time of order Θ(d²).
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
For bond percolation on the d-dimensional hypercube with edge-retention probability p = c/d where c > 1 is a fixed constant, the giant component L_1 satisfies diam(L_1) = Θ(d) with high probability, and the mixing time of the lazy random walk on L_1 is Θ(d²). The proof proceeds by establishing a tight large-deviation estimate on |L_1|, which in turn relies on a structural description of the small components left after sprinkling, a quantitative bound on the spread of L_1 across the hypercube, and a stability principle that controls the survival of large connected sets after mild thinning; the same toolkit yields optimal expansion bounds inside L_1.
What carries the argument
A tight large-deviation estimate for the number of vertices in the giant component L_1, built from a structural description of the residue after sprinkling, a quantitative spread bound for the giant, and a stability principle under thinning.
If this is right
- Optimal vertex and edge expansion bounds hold inside the giant component.
- Large connected sets remain connected after an additional small random thinning with high probability.
- The complement of the giant component after sprinkling consists of components whose sizes are tightly controlled.
- The giant component spreads across the hypercube at a linear rate in every direction.
Where Pith is reading between the lines
- The same stability and spread arguments may extend to percolation on other highly symmetric graphs such as the torus or expander-based models.
- The quadratic mixing time suggests that the giant component behaves like a d-dimensional object with constant speed diffusion.
- One could test whether the diameter and mixing scales remain Θ(d) and Θ(d²) when c grows slowly with d.
Load-bearing premise
The retention probability is fixed exactly at p = c/d for some constant c greater than 1.
What would settle it
For large d, exhibiting a realization in which the giant component has diameter o(d) or ω(d), or in which the lazy random walk mixes in o(d²) or ω(d²) steps.
Figures
read the original abstract
We consider bond percolation on the $d$-dimensional binary hypercube with $p=c/d$ for fixed $c>1$. We prove that the typical diameter of the giant component $L_1$ is of order $\Theta(d)$, and the typical mixing time of the lazy random walk on $L_1$ is of order $\Theta(d^2)$. This resolves long-standing open problems of Bollob\'as, Kohayakawa and {\L}uczak from 1994, and of Benjamini and Mossel from 2003. A key component in our approach is a new tight large deviation estimate on the number of vertices in $L_1$ whose proof includes several novel ingredients: a structural description of the residue outside the giant component after sprinkling, a tight quantitative estimate on the spread of the giant in the hypercube, and a stability principle which rules out the disintegration of large connected sets under thinning. This toolkit further allows us to obtain optimal bounds on the expansion in $L_1$.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript considers bond percolation on the d-dimensional binary hypercube with retention probability p = c/d for fixed c > 1. It proves that the typical diameter of the giant component L_1 is of order Θ(d) and the typical mixing time of the lazy random walk on L_1 is of order Θ(d²). This resolves open problems of Bollobás, Kohayakawa and Łuczak (1994) and Benjamini and Mossel (2003). The proof centers on a new tight large-deviation estimate for |L_1| that incorporates a structural description of the residue outside the giant component after sprinkling, a quantitative spread estimate for the giant in the hypercube, and a stability principle ruling out disintegration of large connected sets under thinning; the same toolkit yields optimal expansion bounds in L_1.
Significance. If the central claims hold, the work supplies the first sharp determination of diameter and mixing-time scales for the giant component in this supercritical regime, quantities that have remained open for three decades. The novel ingredients—a structural residue description, spread estimate, and stability principle—constitute a methodological advance that strengthens the analysis of connectivity and expansion in high-dimensional percolated graphs and may extend to related models. The argument flow from the model definition through these estimates to the matching Θ(d) and Θ(d²) bounds is internally consistent and directly targets the claimed scales.
minor comments (3)
- [Introduction / Theorem statements] The statements of the main theorems should explicitly define the meaning of 'typical' (e.g., with high probability or in probability) and clarify the dependence on the constant c.
- [Section on structural residue description] Notation for the sprinkling parameter and the residue set after sprinkling could be introduced earlier and used consistently throughout the structural arguments.
- [Proof of diameter result] A short remark on how the stability principle interacts with the quantitative spread estimate would help readers follow the combination step that yields the diameter bound.
Simulated Author's Rebuttal
We thank the referee for the careful reading of our manuscript and for the positive assessment, including the recommendation of minor revision. The report correctly identifies the resolution of the open problems posed by Bollobás, Kohayakawa and Łuczak (1994) and by Benjamini and Mossel (2003). No specific major comments appear in the report, so we have no individual points to address.
Circularity Check
No significant circularity; derivation self-contained via new estimates
full rationale
The paper establishes its main results on the diameter Θ(d) and mixing time Θ(d²) of the giant component in supercritical bond percolation on the hypercube by introducing and proving several new ingredients: a tight large-deviation estimate for |L_1|, a structural description of the residue after sprinkling, a quantitative spread estimate for the giant, and a stability principle against disintegration under thinning. These tools are developed internally from the model definition (p = c/d, c > 1 fixed) and are combined to control expansion and connectivity without reducing any target quantity to a fitted parameter, self-citation chain, or definitional tautology. The argument resolves external open problems from 1994 and 2003 and contains no load-bearing steps that collapse to the claimed outputs by construction.
Axiom & Free-Parameter Ledger
axioms (2)
- standard math Standard results on the existence and size of the giant component in supercritical bond percolation on the hypercube (p = c/d, c > 1).
- standard math Basic properties of lazy random walks and their mixing times on finite graphs.
Lean theorems connected to this paper
-
IndisputableMonolith/Foundation/AlexanderDuality.leanalexander_duality_circle_linking unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
We prove that the typical diameter of the giant component L1 is of order Θ(d), and the typical mixing time of the lazy random walk on L1 is of order Θ(d²).
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
Works this paper leans on
- [1]
-
[2]
N. Alon and J. H. Spencer.The probabilistic method. Hoboken, NJ: John Wiley & Sons, fourth edition, 2016
work page 2016
-
[3]
M. Anastos, S. Diskin, D. Elboim, and M. Krivelevich. Climbing up a random subgraph of the hypercube.Electronic Communications in Probability, to appear
-
[4]
M. Anastos, S. Diskin, D. Ignasiak, L. Lichev, and Y. Sha. Spanning trees of bounded degree in random geometric graphs.arXiv:2505.1681, 2025
-
[5]
L. Andreis, W. K¨ onig, H. Langhammer, and R. I. A. Patterson. A large-deviations principle for all the components in a sparse inhomogeneous random graph.Probability Theory and Related Fields, 186(1):521–620, 2023
work page 2023
-
[6]
L. Andreis, W. K¨ onig, and R. I. A. Patterson. A large-deviations principle for all the cluster sizes of a sparse Erd˝ os– R´ enyi graph.Random Structures & Algorithms, 59(4):522–553, 2021
work page 2021
-
[7]
I. Benjamini, N. Berger, and A. Yadin. Long-range percolation mixing time.Combin. Probab. Comput., 17(4):487–494, 2008
work page 2008
-
[8]
I. Benjamini, G. Kozma, and N. Wormald. The mixing time of the giant component of a random graph.Random Struct. Algorithms, 45(3):383–407, 2014
work page 2014
-
[9]
I. Benjamini and E. Mossel. On the mixing time of a simple random walk on the super critical percolation cluster. Probab. Theory Related Fields, 125(3):408–420, 2003
work page 2003
-
[10]
A. J. Bernstein. Maximally connected arrays on then-cube.SIAM J. Appl. Math., 15:1485–1489, 1967
work page 1967
-
[11]
A. Beveridge, A. Frieze, and C. McDiarmid. Random minimum length spanning trees in regular graphs.Combinatorica, 18(3):311–333, 1998
work page 1998
-
[12]
A. Blanc-Renaudie, N. Broutin, and A. Nachmias. The scaling limit of critical hypercube percolation.arXiv preprint arXiv:2401.16365, 2024
-
[13]
B. Bollob´ as, Y. Kohayakawa, and T. Luczak. The evolution of random subgraphs of the cube.Random Struct. Algo- rithms, 3(1):55–90, 1992
work page 1992
-
[14]
B. Bollob´ as, Y. Kohayakawa, and T. Luczak. On the diameter and radius of random subgraphs of the cube.Random Struct. Algorithms, 5(5):627–648, 1994
work page 1994
- [15]
-
[16]
Ju. D. Burtin. The probability of connectedness of a random subgraph of ann-dimensional cube.Problemy Peredaˇ ci Informacii, 13(2):90–95, 1977
work page 1977
-
[17]
F. Chung and L. Lu. The diameter of sparse random graphs.Adv. Appl. Math., 26(4):257–279, 2001
work page 2001
-
[18]
A. Cipriani and M. Salvi. Scale-free percolation mixing time.Stochastic Process. Appl., 167:Paper No. 104236, 40, 2024
work page 2024
-
[19]
R. M. Corless, G. H. Gonnet, D. E. G. Hare, D. J. Jeffrey, and D. E. Knuth. On the Lambert W function.Advances in Computational Mathematics, 5(1):329–359, 1996
work page 1996
-
[20]
J. Ding, J. H. Kim, E. Lubetzky, and Y. Peres. Anatomy of a young giant component in the random graph.Random Structures Algorithms, 39(2):139–178, 2011
work page 2011
- [21]
- [22]
-
[23]
Durrett.Probability: theory and examples
R. Durrett.Probability: theory and examples. Cambridge University Press, Cambridge, 2019
work page 2019
-
[24]
M. Dwass. The total progeny in a branching process and a related random walk.J. Appl. Probab., 6(3):682–686, 1969
work page 1969
-
[25]
J. Erde, M. Kang, and M. Krivelevich. Expansion in supercritical random subgraphs of the hypercube and its conse- quences.Ann. Probab., 51:127–156, 2023
work page 2023
-
[26]
P. Erd˝ os and A. R´ enyi. On the evolution of random graphs.Magyar Tud. Akad. Mat. Kutat´ o Int. K¨ ozl., 5:17–61, 1960
work page 1960
-
[27]
P. Erd˝ os and J. Spencer. Evolution of then-cube.Comput. Math. Appl., 5(1):33–39, 1979
work page 1979
-
[28]
D. Fernholz and V. Ramachandran. The diameter of sparse random graphs.Random Struct. Algorithms, 31(4):482–516, 2007
work page 2007
-
[29]
N. Fountoulakis and B. A. Reed. Faster mixing and small bottlenecks.Probab. Theory Related Fields, 137(3-4):475–486, 2007
work page 2007
-
[30]
N. Fountoulakis and B. A. Reed. The evolution of the mixing rate of a simple random walk on the giant component of a random graph.Random Struct. Algorithms, 33(1):68–86, 2008
work page 2008
-
[31]
A. Frieze and M. Karo´ nski.Introduction to random graphs. Cambridge University Press, Cambridge, 2016
work page 2016
-
[32]
L. H. Harper. Optimal assigments of numbers to vertices.SIAM J. Appl. Math., 12:131–135, 1964
work page 1964
-
[33]
S. Hart. A note on the edges of then-cube.Discrete Math., 14:157–163, 1976
work page 1976
-
[34]
van der Hofstad.Random graphs and complex networks, volume 1
R. van der Hofstad.Random graphs and complex networks, volume 1. Cambridge university press, 2017
work page 2017
-
[35]
R. van der Hofstad and A. Nachmias. Hypercube percolation.J. Eur. Math. Soc., 19(3):725–814, 2017
work page 2017
-
[36]
R. van der Hofstad and G Slade. Expansion inn −1 for percolation critical values on then-cube andZ n: the first three terms.Combin. Probab. Comput., 15(5):695–713, 2006
work page 2006
-
[37]
T. Hulshof and A. Nachmias. Slightly subcritical hypercube percolation.Random Structures Algorithms, 56(2):557– 593, 2020. 32 ANASTOS, DISKIN, LICHEV, AND ZHUKOVSKII
work page 2020
- [38]
-
[39]
J. Jorritsma, J. Komj´ athy, and D. Mitsche. Large deviations of the giant in supercritical kernel-based spatial random graphs.arXiv:2404.02984, 2024
-
[40]
M. Kiwi and D. Mitsche. Spectral gap of random hyperbolic graphs and related parameters.Ann. Appl. Probab., 28(2):941–989, 2018
work page 2018
-
[41]
M. Kiwi, M. Schepers, and J. Sylvester. Cover and hitting times of hyperbolic random graphs.Random Structures Algorithms, 65(4):915–978, 2024
work page 2024
-
[42]
D. E. Knuth.The art of computer programming. Vol. 3. Addison-Wesley, Reading, MA, second edition, 1998. Sorting and searching
work page 1998
-
[43]
M. Krivelevich. Expanders — how to find them, and what to find in them. InSurveys in combinatorics 2019, volume 456 ofLondon Math. Soc. Lecture Note Ser., pages 115–142. Cambridge Univ. Press, Cambridge, 2019
work page 2019
-
[44]
M. Krivelevich. Component sizes in the supercritical percolation on the binary cube.arXiv:2311.07210, 2023
-
[45]
D. A. Levin, Y. Peres, and E. L. Wilmer.Markov chains and mixing times. Providence, RI: American Mathematical Society, 2017
work page 2017
-
[46]
J. H. Lindsey. Assigment of numbers to vertices.Amer. Math. Monthly, 71:508–516, 1964
work page 1964
- [47]
- [48]
-
[49]
R. Otter. The multiplicative process.Ann. Math. Stat., pages 206–224, 1949
work page 1949
-
[50]
Y. Peres. Markov chains and mixing times.https://www.yuval-peres-books.com/ markov-chains-and-mixing-times/. Accessed: October 2025
work page 2025
-
[51]
J. Pitman. Enumerations of trees and forests related to branching processes and random walks.Microsurveys in discrete probability, 41:163–180, 1997
work page 1997
-
[52]
O. Riordan and N. Wormald. The diameter of sparse random graphs.Combin. Probab. Comput., 19(5-6):835–926, 2010
work page 2010
-
[53]
A. A. Sapoˇ zenko. Metric properties of almost all functions of the algebra of logic.Diskret. Analiz, 10:91–119, 1967
work page 1967
-
[54]
Spivak.Calculus on manifolds: a modern approach to classical theorems of advanced calculus
M. Spivak.Calculus on manifolds: a modern approach to classical theorems of advanced calculus. Addison-Wesley Publishing Company, 2018
work page 2018
-
[55]
L. Warnke. On the method of typical bounded differences.Combin. Probab. Comput., 25(2):269–299, 2016
work page 2016
-
[56]
N. C. Wormald. Models of random regular graphs.London mathematical society lecture note series, pages 239–298, 1999. Institute of Science and Technology Austria (ISTA), Klosterneurburg 3400, Austria Email address:michael.anastos@ist.ac.at D-MATH ETH Z ¨urich, R ¨amistrasse 101, 8092 Z ¨urich, Switzerland Email address:sahardiskinmail@gmail.com Institute o...
work page 1999
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.