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The TCS Formalization Drive

A coordinated effort to formalize the mathematics of theoretical computer science in Lean 4.

Scope: missions in computational complexity, algorithms and optimization, data structures, automata and computability, randomized and approximation algorithms, cryptography, learning theory, information theory, algorithmic game theory, combinatorics, computational geometry, and distributed computing.

582 missions

Missions

351–375 of 582
Open104Completed478All582
🏆Completed
Dynamic ProgrammingOperations ResearchOptimization+1·Captain: mikedeng1

A Polynomial-Time Approximation Scheme for Sequential Batch Testing of Series Systems: The Dynamic Program over Great-Looking States Finds a Testing Scheme Within Factor 1 + O(ε) of OptimalResearch Paper

A series system works only if every one of its components works. Deciding whether it works by inspecting components one at a time, in the order that minimizes the expected inspection cost, is the classic sequential testing problem for series systems (Mitten 1960; Butterworth 1972; Simon & Kadane 1975). It is solved by sorting the components by the ratio …

16 thms2 active usersReviewed
🏆Completed
Operations ResearchOptimizationTheoretical Computer Science·Captain: mikedeng1

Online Capacity Scaling Augmented With Unreliable Machine Learning Predictions: Adaptive Balanced Capacity Scaling Is min((1+(√(2ωβ)+θ)η)·OCR, PCR)-Competitive with η-Accurate PredictionsResearch Paper

A data center can save energy by running fewer servers when demand is low, but restarting servers costs energy and queued work delays users. A controller must choose capacity while demand arrives, with limited knowledge of future traffic. Forecasts can help, yet an inaccurate forecast can make a controller perform worse than one that ignores it. Rutten and…

9 thms2 active usersReviewed
🏆Completed
Linear algebraOptimizationStatistics+1·Captain: mikedeng1

Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design: Sampling with an α-Approximate (d−1, d)-Wise Independent Measure Gives an α-ApproximationResearch Paper

In linear regression with a budget, an experimenter holds nnn candidate experiments, each described by a vector vi∈Rdv_i\in\mathbb R^dvi​∈Rd, and may run only kkk of them. If the experiments in S⊆[n]S\subseteq[n]S⊆[n] are run and the unknown parameter is estimated by least squares, the covariance of the estimate is proportional to (∑i∈Svivi⊤)−1\big(\sum_{i\in S}v_iv_i^\top\big)^{-1}(∑i∈S​vi​vi⊤​)−1. A-optimal…

10 thms2 active usersReviewed
🏆Completed
ProbabilityStatisticsTheoretical Computer Science·Captain: mikedeng1

Local Density Estimation in High Dimensions: LSH Count Is a (1 ± ε)-Approximation to the Number of Points Within Angle 𝒜 of the Query, with Probability 1 − δResearch Paper

Many tasks on high-dimensional data ask not for the nearest neighbours of a query but for how many data points lie close to it. Density estimates of this kind feed outlier detection, kernel density estimation, classification by neighbourhood counts, and the tuning of nearest-neighbour search itself. Exact counting needs a scan of the whole dataset for every…

12 thms2 active usersReviewed
🏆Completed
Quantum Information·Captain: marwahaha

OpenAI Ten Proofs 06: Quantum parallel repetitionResearch Paper

Quantum parallel repetition, from the OpenAI Ten Proofs formalization. The source already contains machine-checked proofs; this mission organizes its headline result and additional Comparator targets for reuse.

4 thms2 active usersReviewed
🏆Completed
Algorithmic Game TheoryOperations ResearchTheoretical Computer Science·Captain: mikedeng1

Dynamic Fair Resource Division: The Optimal Fairness Ratio of d-Uniform Control Vectors Is 1/((d+1)·ln((d+1)/d)), Attained by the Frugally Fair AlgorithmResearch Paper

Shared computing infrastructure — a data-centre cluster, a cloud platform's memory — is divided among users who arrive over time. Two requirements pull against each other. Proportional fairness asks that, when ttt users are present, each holds at least a 1/t1/t1/t fraction of the resource. Limited disruption asks that the system not take resource away from running…

9 thms2 active usersReviewed
ProbabilityQuantum InformationTheoretical Computer Science·Captain: mikedeng1

Quantum Approximate Counting, Simplified: A Grover-Only Algorithm Estimates K to Within Relative Error ε with Probability 1 − δ Using O(√(N/K) ε⁻¹ log(1/δ)) QueriesResearch Paper

Approximate counting asks for the number KKK of marked items in a list of NNN items, to within a multiplicative factor 1±ε1\pm\varepsilon1±ε, when the marked set can only be accessed through a membership oracle. Brassard, Høyer, Mosca and Tapp (arXiv:quant-ph/0005055) gave a quantum algorithm that uses O(N/K ε−1)O(\sqrt{N/K}\,\varepsilon^{-1})O(N/K​ε−1) queries, which is optimal. Their…

15 thms2 active usersReviewed
Linear algebraQuantum InformationTheoretical Computer Science·Captain: mikedeng1

Quantum Singular Value Transformation and Beyond: Exponential Improvements for Quantum Matrix Arithmetics: Singular Value Transformation by Real Polynomials via Alternating Phase ModulationResearch Paper

Many quantum algorithms act on a matrix AAA that is not itself unitary: a Hamiltonian to be simulated, a linear system to be inverted, a projector to be amplified. The standard way to hand such a matrix to a quantum computer is to embed it as a block of a unitary UUU, so that A=Π~UΠA=\widetilde\Pi U\PiA=ΠUΠ for two orthogonal projectors Π,Π~\Pi,\widetilde\PiΠ,Π. The question is…

13 thms2 active usersReviewed
🏆Completed
AnalysisTheoretical Computer Science·Captain: Yuxuan Xu

Average sensitivity 3.762: refined coupling and a complete Lean proofResearch Paper

A polynomial threshold function makes a Boolean decision by evaluating a real polynomial and keeping only its sign. Its average sensitivity measures how often that decision changes after one uniformly chosen input coordinate is reversed, summed over all coordinate choices. This is a basic quantitative question in the analysis of Boolean functions: how much…

5 thms2 active usersReviewed
🏆Completed
CombinatoricsComplexity Theory·Captain: marwahaha

Block Sensitivity vs. Sensitivity: Classical Quadratic BoundResearch Paper

Certify the classical quadratic separation between sensitivity and block sensitivity: α≥2\alpha\ge2α≥2.

4 thms2 active usersReviewed
🏆Completed
ProbabilityQuantum InformationTheoretical Computer Science·Captain: mikedeng1

Quantum Speedup of Monte Carlo Methods 1: With Var(v(A)) ≤ σ² and ε < 4σ, Algorithm 3 Estimates E[v(A)] to Additive Error ε with Probability at Least 2/3Research Paper

Many computational tasks produce a real number by running a randomized procedure once, then estimate its expected value by running that procedure repeatedly. The number of repetitions needed for a given additive accuracy depends on the output variance. Montanaro's Quantum speedup of Monte Carlo methods studies the same estimation problem when the procedure…

9 thms2 active usersReviewed
OptimizationQuantum InformationTheoretical Computer Science·Captain: mikedeng1

A Quantum Approximate Optimization Algorithm Applied to a Bounded Occurrence Constraint Problem I: Level-One QAOA Satisfies (1/2 + 1/(101 D^(1/2) ln D))m Equations of Max E3LIN2 for Large DResearch Paper

The Quantum Approximate Optimization Algorithm (QAOA) of Farhi, Goldstone and Gutmann (arXiv:1411.4028) is a family of shallow quantum circuits for combinatorial optimization. At its lowest level, p=1p = 1p=1, the circuit has two real parameters, and its output is a random bit string. The question is how many constraints that string satisfies, compared with the…

18 thms2 active usersReviewed
Linear algebraLinear OptimizationTheoretical Computer Science·Captain: mikedeng1

A Strongly Polynomial Algorithm for Linear Exchange Markets II: A Z₊-Matrix Polyhedron P_M Lies Between an M2VPI Polyhedron and Its Scaling by B²Research Paper

In a linear exchange market every agent owns one divisible good and has linear utilities over all goods; an equilibrium is a price vector at which every agent can spend its budget on goods that maximize utility per unit of money, and all goods are sold. Computing such an equilibrium in strongly polynomial time, with a number of arithmetic operations bounded…

11 thms2 active usersReviewed
🏆Completed
Linear OptimizationOperations ResearchProbability+1·Captain: mikedeng1

Selection and Ordering Policies for Hiring Pipelines via Linear Programming 2: An LP-Rounding Policy That Sends Offers in Parallel Lists Earns at Least (1 − 1/e) Times the LP BoundResearch Paper

Firms that hire for several roles at once face a timing problem. An offer occupies a candidate until they answer, a candidate can hold only one offer, and the hiring season has a fixed number of decision rounds. Sending offers one at a time is slow; sending them all at once risks over-hiring. Epstein and Ma (arXiv:2210.04059v3, Operations Research 2024)…

8 thms2 active usersReviewed
🏆Completed
CombinatoricsTheoretical Computer Science·Captain: Yuxuan Xu

Deterministic Integer 3SUM 1.960614: Quartic Switch and Complete Program ExtensionResearch Paper

The original exact goal EndStatement.ThreeSum.SolvedInTime 1.960614 is Proved on Prove2Me. All seven original milestones are complete. The complete machine extension has 481 accepted theorem proofs and reuses 110 proved theorem nodes; its accepted dependencies connect to the original main reduction. The independent fixed-model lower bound remains separate…

92 thms2 active usersReviewed
🏆Completed
CombinatoricsTheoretical Computer Science·Captain: Yuxuan Xu

Deterministic Integer 3SUM in O(n^1.999017): Sharp Binomial-Tail AnalysisResearch Paper

3SUM asks whether an input sequence contains three entries at different positions whose sum is zero. The classical quadratic running time makes it a benchmark for fine-grained algorithm design: even a small fixed improvement in the exponent changes its asymptotic complexity. The setting here is polynomially bounded integers and a deterministic word RAM; the…

8 thms2 active usersReviewed
🏆Completed
Number TheoryTheoretical Computer Science·Captain: Lucas

General Number Field Sieve: Congruence of SquaresTextbook

The general number field sieve (GNFS) is the most efficient classical algorithm known for factoring integers larger than about 1010010^{100}10100. Its heuristic running time for an integer nnn is

9 thms2 active usersReviewed
🏆Completed
CombinatoricsTheoretical Computer Science·Captain: wurtle

3SUM in O(n^1.962) Time on a Word RAMResearch Paper

This entry records a deterministic O(n1.962)O(n^{1.962})O(n1.962) bound for 3SUM on polynomially bounded integers, using the campaign's shared word-RAM model with O(log⁡n)O(\log n)O(logn)-bit words. Three distinct input positions must sum to zero; repeated values are allowed. The exact exponent is 981/500981/500981/500.

53 thms2 active usersReviewed
🏆Completed
AnalysisOperations ResearchTheoretical Computer Science·Captain: mikedeng1

Online Stochastic Matching: New Algorithms with Better Bounds 2: The Per-Advertiser Inequality Behind the 0.706 Ratio for General Arrival Rates, in the Limit f − s ≤ 1 − ln 2Research Paper

Online stochastic matching models display advertising and similar allocation problems in which requests arrive one at a time and must be served immediately. A bipartite graph links a set AAA of advertisers to a set III of impression types; nnn requests arrive, each of a type drawn independently with P(type i)=ri/n\mathbb P(\text{type } i) = r_i/nP(type i)=ri​/n, and each request must be…

20 thms2 active users
🏆Completed
Discrete Geometry·Captain: iris

Colorful Helly and colorful fractional Helly theoremsResearch Paper

Helly's theorem says that a finite family of convex sets in Rd\mathbb R^dRd has a common point whenever every d+1d+1d+1 of its members do. Two of its best-known strengthenings weaken the hypothesis in different directions. The colorful Helly theorem, due to Lovász and first published by Bárány (1982), distributes the sets into d+1d+1d+1 color classes and only asks that…

2 thms2 active usersReviewed
Theoretical Computer Science·Captain: wurtle

Two WordRAM models: equivalence with polylogarithmic overheadTextbook

Prove equivalence between two WordRAM models: one with unsigned pointers, bit operations, and shifts; the other with signed pointers and branching on sign. Both support bounded-word arithmetic and multiplication.

16 thms2 active usersReviewed
🏆Completed
Formal VerificationTheoretical Computer ScienceTheory of Computation·Captain: mikedeng1

Multiparty Asynchronous Session Types 1: A Global Type's One-Time Unfolding Is Linear iff Its n-th Unfolding Is Linear, for Every n ≥ 1Research Paper

Multiparty communication protocols involve several participants who send messages over shared session channels. An implementation may send a later message before an earlier one has been received, so a written sequence of interactions does not by itself prevent a receiver from taking the wrong message. Honda, Yoshida, and Carbone use global types to specify…

4 thms2 active usersReviewed
🏆Completed
CombinatoricsTheoretical Computer Science·Captain: mikedeng1

Fully-Functional Suffix Trees and Optimal Text Searching in BWT-runs Bounded Space 3: The Differential LCP Array Has a Bidirectional Macro Scheme of Size at Most 4r + 1Research Paper

A suffix tree of a text T[1..n]T[1..n]T[1..n] answers pattern-matching and string-analysis queries (longest repeats, maximal repeats, matching statistics) in time close to optimal, but it occupies Θ(n)\Theta(n)Θ(n) machine words. For highly repetitive collections, such as many genomes of one species or the versions of a document, this is far more than the information the text…

10 thms2 active usersReviewed
🏆Completed
CombinatoricsTheoretical Computer Science·Captain: mikedeng1

Fully-Functional Suffix Trees and Optimal Text Searching in BWT-runs Bounded Space 2: A Text Whose BWT Has r Runs Has at Most 2rs Distinct Substrings of Length sResearch Paper

A text index answers questions about occurrences of a pattern without scanning the whole text. One reason to compress such an index is that many stored texts are repetitive: multiple versions of a document or genome often share long passages. The Burrows–Wheeler transform (BWT) rearranges a text's symbols in a way that groups related contexts. A small…

7 thms2 active usersReviewed
🏆Completed
CombinatoricsTheoretical Computer Science·Captain: mikedeng1

Fully-Functional Suffix Trees and Optimal Text Searching in BWT-runs Bounded Space 1: SA[p ± 1] Is Recovered From the Sample at the Phrase Start Preceding SA[p] − 1Research Paper

Collections of genomes, versioned documents and source-code histories are highly repetitive: most of each new item is a copy of something already stored. Full-text indexes such as the suffix array and the FM-index answer pattern queries on such collections, but their size grows with the text length nnn, not with the amount of distinct content. The number rrr of…

8 thms2 active usersReviewed
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Top contributors

RankContributorAccepted solutionsSubmitted problems
1EYEyal199050227705
2FIfizzyinc313037
3MAmarwahaha643870
4MRmrfancypants6290
5DBdbenbenn546543
6KMkmehltretter8232892
7NINihal2960
8NINickrobbins952698
9SCShuze Chen224794
10SHshivm2080

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Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

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