• Title of article

    Single elements of matrix incidence algebras Original Research Article

  • Author/Authors

    W. E. Longstaff، نويسنده , , Oreste Panaia، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2000
  • Pages
    10
  • From page
    117
  • To page
    126
  • Abstract
    An element s of an algebra image is called a single element of image if asb=0 and image imply that as=0 or sb=0. Let image, let K be a field and let not precedes, equals be a partial order on {1,2,…,n}. Let image be the matrix incidence algebra consisting of those n×n matrices A=(ai,j) with entries in K, satisfying ai,j=0 whenever inot precedes, equals/j. An element S=(si,j) of image is a single element if and only if (i) ri≠0 and cj≠0impliessi,j≠0, (ii) inot precedes, equalsj1 and inot precedes, equalsj2 for some iimpliesrj1 and rj2 are linearly dependent, (iii) i1not precedes, equalsj and i2not precedes, equalsj for some jimpliesci1 and ci2 are linearly dependent. Here ri and cj denote the ith row and the jth column of S, respectively. If Kgreater-or-equal, slanted3, the maximum rank of a single element of image is the largest positive integer m for which there exist sets X,Y of minimal, respectively, maximal, elements with X=Y=m satisfying xnot precedes, equalsy for every xset membership, variantX, yset membership, variantY.
  • Keywords
    matrix , single , Rank , Incidence
  • Journal title
    Linear Algebra and its Applications
  • Serial Year
    2000
  • Journal title
    Linear Algebra and its Applications
  • Record number

    823092