LmCast :: Stay tuned in

The k-server conjecture is true

Recorded: Sept. 15, 2026, 2:57 p.m.

Original Summarized

[2609.15979] The $k$-server conjecture is true

Skip to main content

Search

Submit
Donate

Log in

Search arXiv

Press Enter to search · Advanced search

Computer Science > Data Structures and Algorithms

arXiv:2609.15979 (cs)

[Submitted on 14 Sep 2026]
Title:The $k$-server conjecture is true
Authors:Christian Coester, Elias Koutsoupias, Marek Zbysiński View a PDF of the paper titled The $k$-server conjecture is true, by Christian Coester and 2 other authors
View PDF
HTML (experimental)

Abstract:The $k$-server conjecture states that a deterministic online algorithm can achieve competitive ratio $k$ on every metric space. We prove the conjecture. Specifically, we show that the work function algorithm satisfies it.
Our proof uses a natural algebraic representation of the work function as a matrix, which encodes all feasible paths to reach a configuration. In this representation, the minimum and addition operations arising in the definition of optimal costs correspond to addition and multiplication of formal expressions, and each work function value corresponds to the determinant of $k$ columns of the matrix. A request arrival updates the representation via a change of basis and row replacement. The amortized analysis is based on a potential function defined in terms of a larger matrix whose coordinates are pairs of coordinates of the original matrix representation.

Subjects:

Data Structures and Algorithms (cs.DS)

Cite as:
arXiv:2609.15979 [cs.DS]

 
(or
arXiv:2609.15979v1 [cs.DS] for this version)

 
https://doi.org/10.48550/arXiv.2609.15979

Focus to learn more

arXiv-issued DOI via DataCite (pending registration)

Submission history From: Marek Zbysiński [view email] [v1]
Mon, 14 Sep 2026 17:58:11 UTC (22 KB)

Full-text links:
Access Paper:

View a PDF of the paper titled The $k$-server conjecture is true, by Christian Coester and 2 other authorsView PDFHTML (experimental)TeX Source

view license


Current browse context:
cs.DS

< prev

  |  
next >

new
|
recent
| 2026-09

Change to browse by:

cs

References & Citations

NASA ADSGoogle Scholar
Semantic Scholar

export BibTeX citation
Loading...

BibTeX formatted citation
×

loading...

Data provided by:

Bookmark

Bibliographic Tools

Bibliographic and Citation Tools

Bibliographic Explorer Toggle

Bibliographic Explorer (What is the Explorer?)

Connected Papers Toggle

Connected Papers (What is Connected Papers?)

Litmaps Toggle

Litmaps (What is Litmaps?)

scite.ai Toggle

scite Smart Citations (What are Smart Citations?)

Code, Data, Media

Code, Data and Media Associated with this Article

alphaXiv Toggle

alphaXiv (What is alphaXiv?)

Links to Code Toggle

CatalyzeX Code Finder for Papers (What is CatalyzeX?)

DagsHub Toggle

DagsHub (What is DagsHub?)

GotitPub Toggle

Gotit.pub (What is GotitPub?)

Huggingface Toggle

Hugging Face (What is Huggingface?)

ScienceCast Toggle

ScienceCast (What is ScienceCast?)

Demos

Demos

Replicate Toggle

Replicate (What is Replicate?)

Spaces Toggle

Hugging Face Spaces (What is Spaces?)

Spaces Toggle

TXYZ.AI (What is TXYZ.AI?)

Related Papers

Recommenders and Search Tools

Link to Influence Flower

Influence Flower (What are Influence Flowers?)

Core recommender toggle

CORE Recommender (What is CORE?)

Author
Venue
Institution
Topic

About arXivLabs

arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? |
Disable MathJax (What is MathJax?)

We gratefully acknowledge support from
our major funders,
member institutions, ,
and all contributors.

About
·
Help
·
Contact
·
Subscribe
·
Copyright
·
Privacy
·
Accessibility
·
Operational Status (opens in new tab)

Major funding support from

The authors prove the $k$-server conjecture, which posits that a deterministic online algorithm can achieve a competitive ratio of $k$ across every metric space. Their proof is achieved by demonstrating that the work function algorithm satisfies this conjecture. The core of their proof relies on establishing a natural algebraic representation for the work function, utilizing a matrix structure to encode all feasible paths to any given configuration. Within this matrix representation, the operations defining optimal costs, specifically minimum and addition, are modeled by matrix addition and multiplication of formal expressions. Furthermore, each work function value is directly captured by the determinant of $k$ columns of this matrix.

The process of handling request arrivals is incorporated into this algebraic framework by updating the representation through a change of basis and row replacement operations. The analysis of the performance is conducted using an amortized analysis built upon a potential function defined over a larger matrix, which contains the coordinates of the original matrix representation. This method provides a complex algebraic approach to analyzing the competitive ratios associated with the online scheduling problem.