Abstract
Original language  Undefined 

Awarding Institution 

Supervisors/Advisors 

Award date  28 Aug 2008 
Place of Publication  Zutphen 
Publisher  
Print ISBNs  9789036527101 
DOIs  
Publication status  Published  28 Aug 2008 
Keywords
 IR59410
 EWI13839
 METIS252073
Cite this
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Matrix Approach to Cooperative Game Theory. / Xu Genjiu, G.
Zutphen : University of Twente, 2008. 165 p.Research output: Thesis › PhD Thesis  Research UT, graduation UT
TY  THES
T1  Matrix Approach to Cooperative Game Theory
AU  Xu Genjiu, G.
N1  10.3990/1.9789036527101
PY  2008/8/28
Y1  2008/8/28
N2  In this monograph, the algebraic representation and the matrix approach are applied to study linear operators on the game space, more precisely, linear transformations on games and linear values. In terms of the essential notion of a coalitional matrix, these linear operators are represented algebraically by products of the corresponding coalitional matrix and the worth vector (representing the game). We perform a matrix analysis in the setting of cooperative game theory, to study axiomatizations of linear values, by investigating appropriate properties of these representation matrices. Particularly, the Shapley value is the most important representative. In summary, the concepts of eigenvalues, eigenvectors, null space, the diagonalization procedure and the similarity property for matrices, the system of linear equations and its solution set, the Moebius transformation and the complementary Moebius transformation, the basis for a linear space and so on, can be applied successfully to cooperative game theory. We conclude that the matrix analysis is a new and powerful technique for research in the field of cooperative game theory.
AB  In this monograph, the algebraic representation and the matrix approach are applied to study linear operators on the game space, more precisely, linear transformations on games and linear values. In terms of the essential notion of a coalitional matrix, these linear operators are represented algebraically by products of the corresponding coalitional matrix and the worth vector (representing the game). We perform a matrix analysis in the setting of cooperative game theory, to study axiomatizations of linear values, by investigating appropriate properties of these representation matrices. Particularly, the Shapley value is the most important representative. In summary, the concepts of eigenvalues, eigenvectors, null space, the diagonalization procedure and the similarity property for matrices, the system of linear equations and its solution set, the Moebius transformation and the complementary Moebius transformation, the basis for a linear space and so on, can be applied successfully to cooperative game theory. We conclude that the matrix analysis is a new and powerful technique for research in the field of cooperative game theory.
KW  IR59410
KW  EWI13839
KW  METIS252073
U2  10.3990/1.9789036527101
DO  10.3990/1.9789036527101
M3  PhD Thesis  Research UT, graduation UT
SN  9789036527101
PB  University of Twente
CY  Zutphen
ER 