The DOI matches its Crossref record.
Incidence matrices and interval graphs
Open accessAbstract
According to present genetic theory, the fine structure of genes consists of linearly ordered elements.A mutant gene is obtained by alteration of some connected portion of this structure.By examining data obtained from suitable experiments, it can be determined whether or not the blemished portions of two mutant genes intersect or not, and thus intersection data for a large number of mutants can be represented as an undirected graph.If this graph is an "interval graph," then the observed data is consistent with a linear model of the gene.The problem of determining when a graph is an interval graph is a special case of the following problem concerning (0, l)-matrices: When can the rows of such a matrix be permuted so as to make the l's in each column appear consecutively?A complete theory is obtained for this latter problem, culminating in a decomposition theorem which leads to a rapid algorithm for deciding the question, and for constructing the desired permutation when one exists.Let A -(dij) be an m by n matrix whose entries a i3 are all either 0 or 1.The matrix A may be regarded as the incidence matrix of elements e l9 e 2 , , e m vs. sets S l9 S 2 , , S n ; that is, a i3 = 0 or 1 according as e t is not or is a member of S 3 .For certain applications, one of which will be discussed below, it is of interest to know whether or not one can order the elements in such a way that each set S 3 consists of elements that appear consecutively in the ordering.In terms of the incidence matrix A, the question is whether there is an m by m permutation matrix P such that the Γs in each column of PA occur in consecutive positions.We shall describe a computationally efficient method of answering this question, and of determining such a P when one exists.Given a family of sets S lf S 29 , S n , one can form the intersection graph of the family by associating a vertex of the graph with each set and joining two distinct vertices with an edge if their corresponding sets have a nonempty intersection.Conversely, any finite graph can of course be viewed as the intersection graph of a family of sets (in many ways).If each set can be taken as an interval on the real line, the graph is called an interval graph.Interval graphs have been investigated in [7,5,3].The problem posed above is closely related to that of determining whether a given graph is an interval
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Booth, K. S., & Lueker, G. S. (1976) · Journal of Computer and System Sciences · doi:10.1016/s0022-0000(76)80045-1 · Cited by 1,488
Finding a Maximum Clique in an Arbitrary Graph
Balas, E., & Yu, C. S. (1986) · SIAM Journal on Computing · doi:10.1137/0215075 · Cited by 295
Toward Quantum Gate-Model Heuristics for Real-World Planning Problems
Stollenwerk, T., Hadfield, S., & Wang, Z. (2020) · IEEE Transactions on Quantum Engineering · doi:10.1109/tqe.2020.3030609 · Cited by 29
Metadata
- Authors
- Fulkerson, D., & Gross, O.
- Venue
- Pacific Journal of Mathematics
- Publisher
- Mathematical Sciences Publishers
- Published
- 1965-09-01
- Volume
- 15
- Issue
- 3
- Pages
- 835-855
- ISSN
- 0030-8730 (ISSN-L)
- OpenAlex
- W2089465933
- Cited by
- 1,262
- References
- 0
- FWCI
- 13.36
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Incidence matrices and interval graphs. https://app.cochat.ai/papers/10.2140/pjm.1965.15.835
- The paper
- Fulkerson, D., & Gross, O. (1965). Incidence matrices and interval graphs. Pacific Journal of Mathematics. https://doi.org/10.2140/pjm.1965.15.835
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.