Definition of the Subject
The interplay between Matrix Theory and Graph Theory isfascinating and fruitful, e.?g. [4,5,8,14,18,21,25,31,32]. Here we only deal with theinterplay between nonnegative matrices and digraphs.
Digraphs are of great importance in Computer Science, SocialSciences and Natural Sciences, see [1,2,55]. Nonnegative matrices haveapplications to a variety of disciplines, such as numericalanalysis, probability, game theory, economics, optimization, dynamicalsystems, and data mining, see [3,6,7,39]. These two important subjects,digraphs and nonnegative matrices, are also stronglyconnected. (Nonnegative) matrices are a natural way to describedigraphs and conversely, digraphs describe the zero-nonzerostructure of a matrix. This survey concentrates on the meetingpoints of the two subjects.
The theory of nonnegative matrices is a hundred years old,and digraphs have accompanied it almost since its beginning. Thiscontinues to be true today, when modern applications stimulate...
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Abbreviations
- Nonnegative matrix:
-
A nonnegative matrix is a matrix whose entries are realnonnegative numbers. The matrix is positive if all its elements arepositive.
- Digraph:
-
A digraph (directed graph) G consists ofa finite set V anda set E of ordered pairsof elements of V. Theelements of V are calledvertices and thoseof E are called arcs. It is often represented graphically bypoints as the vertices of G, and arrows between these pointsas the arcs.
- Irreducible matrix:
-
A reducible matrix is a matrix which is either the \( { 1\times 1 }\) zero matrix, or a squarematrix that has a zero submatrix on complementary sets of rowsand columns. A square matrix which is not reducible is irreducible .
- Strongly connected digraph:
-
A stronglyconnecteddigraph is a digraph in whichthere is a walk from every vertex to every othervertex.
- (Directed) walk:
-
A directed walk (walk) in a digraph isa sequence of arcs of the digraph such that each arc starts atthe end vertex of itspredecessor.
Bibliography
Alon U(2006) An Introduction to Systems Biology: Design Principles ofBiological Circuites. CRC Mathematical and Computational BiologySeries. Chapman, Boca Raton
Bang-JensenJ, Gutin G (2001) Digraphs: Theory Algorithms and Applications.Springer, London
BapatRB, Raghavan TES (1997) Nonnegative Matrices and Applications.Encyclopedia of Mathematics and its Applications 64. CambridgeUniversity Press, Cambridge
BeinekeLW, Wilson RJ (2004) Topics in Algebraic Graph Theory. Encyclopediaof Mathematics and its Applications 102. Cambridge University Press,Cambridge
BermanA (2003) Graphs of matrices and matrices of graphs. Numer Math J ChinUniv (Engl Ser) 12(suppl):12–14
BermanA, Neumann M, Stern RJ (1989) Nonnegative Matrices in DynamicalSystems. Wiley-Interscience, New York
BermanA, Plemmons R (1994) Nonnegative Matrices in the Mathematicalsciences. SIAM, Philadelphia
BermanA, Shaked-Monderer N (2003) Completely Positive Matrices. WorldScientific, River Edge
BirkhoffG (1946) Tres obseraciones sobre el algebra lineal. Univ Nac TucumanRev Ser A 5:147–150
BondyJA, Murty USR (1976) Graph Theory with Applications. North-Holland,New York
BrinS, Page L (1998) The anatomy of a large-scale hypertextual Websearch engine. Comput Netw ISDN Syst33(1–7):107–117
BrualdiRA (1979) Matrices permutation equivalent to irreducible matrices andapplications. Linear Multilinear Algebra7:1–12
BrualdiRA, Parter SV, Schneider H (1966) The diagonal equivalence ofa nonnegative matrix to a stochastic matrix. J Math AnalAppl 16:31–50
BrualdiRA, Ryser HJ (1991) Combinatorial Matrix Theory. Encyclopedia ofMathematics and its Applications 39. Cambridge University Press,Cambridge
BroderA, Kumar R, Maghoul F, Raghavan P, Rajagopalan S, Stata R, Tomkins A,Wiener J (2000) Comput Netw 33(1–3):309–320
ChaikenS (1982) A combinatorial proof of the all-minors matrix treetheorem. SIAM J Alg Dis Meth3:319–329
ChebotarevP, Agaev R (2002) Forest matrices around the Laplacian matrix. LinearAlgebra Appl 356:253–274
ChungFRK (1997) Spectral Graph Theory. CBMS, Regional Conference Series inMathematics 92. AMS, Providence
ChungF (2005) Laplacians and the Cheeger inequality for directed graphs.Ann Comb 9:1–19
ChungF (2006) The diameter and Laplacian eigenvalues of a directedgraphs. Electron J Combin 13(4):6
CvetkovicD, Doob M, Sachs H (1980) Spectra of Graphs: Theory andApplications. Academic Press, New York
EshenbachC, Hall F, Hemansinha R, Kirkland S, Li Z, Shader B, Stuart J, WeaverJ (2000) Properties of Tournaments among Well-Matched Players. AmerMath Month 107(10):881–892
FrobeniusG (1912) Über Matrizen aus nicht negativen Elementen.Sitzungsbericht. Preussische Akademie der Wissenschaften, Berlin,pp 456–477
GantmacherFR (1959) The Theory of Matrices. (Translated from Russian), Chelsea,New York
GodsilC, Royle G (2001) Algebraic Graph Theory. Graduate Texts inMathematics 207. Springer, New York
GulliA, Signorini A (2005) The indexable web is more than 11.5 billionpages. In: Proc. 14th WWW (Posters),pp 902–903
GuptaRP (1967) On basis digraphs. J Combin Theory 3:309–311
HallP (1935) On representatives of subsets. J London Math Soc10:26–30
HartfielDJ (1970) A simplified form for nearly reducible and nearlydecomposable matrices. Proc Amer Math Soc 24:388–393
HershkowitzD (1999) The combinatorial structure of generalizedeigenspaces – from nonnegative matrices to generalmatrices. Linear Algebra Appl302–303:173–191
HogbenL (2007) Handbook of Linear Algebra. Discrete Mathematics and ItsApplications Series 39. CRC Press, BocaRaton
vander Holst H, Lovász L, Schrijver A (1999) The Colin de Verdièregraph parameter. In: Graph Theory and Computational Biology. BolyaiSoc Math Stud 7:29–85
HornRA, Johnson CR (1985) Matrix Analysis. Cambridge University Press,Cambridge
KendallMG (1955) Further contributions to the theory of paired comparisons.Biometrics 11:43–62
KirklandS (2004) Digraph-based conditioning for Markov chains. Linear AlgebraAppl 385:81–93
KirklandSJ (2004) A combinatorial approach to the conditioning ofa single entry in the stationary distribution for a Markovchain. Electron J Linear Algebra11:168–179
KirklandSJ (2004/5) Girth and subdominant eigenvalues for stochastic matrices.Electron J Linear Algebra 12:25–41
LangvilleAN, Meyer CD (2005) A survey of eigenvector methods of Webinformation retrieval. SIAM Rev47(1):135–161
LeeD, Seung H (2001) Algorithms for nonnegative matrix factorization.Adv Neural Process 13:556–562
MarcusM, Minc H (1963) Disjoint pairs of sets and incidence matrices.Illinois J Math 7:137–147
MarcusM, Minc H (1964) A survey of matrix theory and matrixinequalities. Allyn and Bacon, Boston
MincH (1988) Nonnegative Matrices. Wiley-Interscience Series in DiscreteMathematics and Optimization. Wiley, NewYork
PerronO (1907) Zur Theorie der Matrizen. Math Ann 64:248–263
RichmanD, Schneider H (1978) On the singular graph and the Weyrcharacteristic of an M-matrix.Aequationes Math 17:208–234
RomanovskyV (1936) Recherche sur les chains de Markoff. Acta Math66:147–251
RothblumUG (1975) Algebraic eigenspaces of nonnegative matrices. LinearAlgebra Appl 12:281–292
SchneiderH (1956) The elementary divisors associated with 0 of a singularM-matrix. Proc Edinburgh Math Soc10(2):108–122
SchneiderH (1977) The concepts of irreducibility and full indecomposability ofa matrix in the works of Frobenius, König and Markov. LinearAlgebra Appl 18:139–162
SchneiderH (1986) The influence of the marked reduced graph ofa nonnegative matrix on the Jordan Form and on relatedproperties: a survey. Linear Algebra Appl84:161–189
SenetaE (1981) Nonnegative Matrices and Markov Chains. Springer Series inStatistics, 2nd edn. Springer, New York
TamBS (2004) The Perron generalized eigenspace and the spectral cone ofa cone-preserving map. Linear Algebra Appl393:375–429
TutteWT (1948) The dissection of equilateral triangles into equilateraltriangles. Proc Cambridge Philos Soc7:463–482
TutteWT (1980) Graph Theory. Encyclopedia of Mathematics and itsApplications 21. Cambridge University Press,Cambridge
VictoryJr HD (1985) On nonnegative solutions to matrix equations. SIAM J AlgDis Meth 6:406–412
WassermanS, Faust K (1994) Social network analysis: Methods and applications.Cambridge University Press, Cambridge
WeiTH (1952) The Algebraic Foundations of Ranking Theory. Ph?D Thesis,Cambridge University
WuCW (2005) On Rayleigh-Ritz rations of a generalized Laplacianmatrix of directed graphs. Linear Algebra Appl402:207–227
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Berman, A., Shaked-Monderer, N. (2009). Non-negative Matrices and Digraphs. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, New York, NY. https://doi.org/10.1007/978-0-387-30440-3_368
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