IDEAS home Printed from https://ideas.repec.org/a/spr/jclass/v35y2018i2d10.1007_s00357-018-9260-3.html
   My bibliography  Save this article

Treelike Families of Multiweights

Author

Listed:
  • Agnese Baldisserri

    (Dipartimento di Matematica e Informatica “U. Dini”)

  • Elena Rubei

    (Dipartimento di Matematica e Informatica “U. Dini”)

Abstract

Let T = (T,w) be a weighted finite tree with leaves 1, ..., n. For any I := {i1, ..., ik} ⊂ {1, ..., n}, let DI (T ) be the weight of the minimal subtree of T connecting i1, ..., ik; the DI (T ) are called k-weights of T . Given a family of real numbers parametrized by the k-subsets of 1 … n , D I I ∈ 1 … n k , $$ \left\{1,\dots, n\right\},{\left\{{D}_I\right\}}_{I\in \left(\underset{k}{\left\{1,\dots, n\right\}}\right)}, $$ we say that a weighted tree T = (T,w) with leaves 1, ..., n realizes the family if DI (T ) = DI for any I. Weighted graphs have applications in several disciplines, such as biology, archaeology, engineering, computer science, in fact, they can represent hydraulic webs, railway webs, computer networks...; moreover, in biology, weighted trees are used to represent the evolution of the species. In this paper we give a characterization of the families of real numbers parametrized by the k-subsets of some set that are realized by some weighted tree.

Suggested Citation

  • Agnese Baldisserri & Elena Rubei, 2018. "Treelike Families of Multiweights," Journal of Classification, Springer;The Classification Society, vol. 35(2), pages 367-390, July.
  • Handle: RePEc:spr:jclass:v:35:y:2018:i:2:d:10.1007_s00357-018-9260-3
    DOI: 10.1007/s00357-018-9260-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00357-018-9260-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00357-018-9260-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sven Herrmann & Katharina Huber & Vincent Moulton & Andreas Spillner, 2012. "Recognizing Treelike k-Dissimilarities," Journal of Classification, Springer;The Classification Society, vol. 29(3), pages 321-340, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Simone Calamai, 2020. "Moduli Space of Families of Positive (n − 1)-Weights," Journal of Classification, Springer;The Classification Society, vol. 37(2), pages 317-327, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Simone Calamai, 2020. "Moduli Space of Families of Positive (n − 1)-Weights," Journal of Classification, Springer;The Classification Society, vol. 37(2), pages 317-327, July.
    2. Douglas L. Steinley, 2019. "Editorial: Journal of Classification Vol. 36-3," Journal of Classification, Springer;The Classification Society, vol. 36(3), pages 393-396, October.
    3. Elena Rubei, 2016. "Weighted Graphs with Distances in Given Ranges," Journal of Classification, Springer;The Classification Society, vol. 33(2), pages 282-297, July.
    4. Elena Rubei, 2013. "On the weights of simple paths in weighted complete graphs," Indian Journal of Pure and Applied Mathematics, Springer, vol. 44(4), pages 511-525, August.
    5. Katharina T. Huber & Vincent Moulton & Guillaume E. Scholz, 2019. "Three-Way Symbolic Tree-Maps and Ultrametrics," Journal of Classification, Springer;The Classification Society, vol. 36(3), pages 513-540, October.

    More about this item

    Keywords

    Weighted trees; Dissimilarity families;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jclass:v:35:y:2018:i:2:d:10.1007_s00357-018-9260-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.