By Nicolaas Du Plessis

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As participants in a market are assumed to be profit maximising, these changes in the incentive system are usually exploited by the participants expecting a higher profit by doing so. These actions are usually forbidden by market rules. They are thus irregular and called fraudulent or are referred to as manipulations. Usually incentive compatibility is maintained by a system design that makes it more lucrative to play by the rules. This can be achieved by the traders having systematic higher rewards when playing conforming to the rules then when playing against them.

X 1 y n xy∗ = . . . . . xn y 1 . . 1) 40 5. Eigensystems in Hilbert Space with y∗ representing the conjugate complex transpose of y. The inner product of x, y ∈ Cn is defined as n ∗ x|y =x y= xk y k . 2) k=1 The norm will be denoted x and defined as x = x|x . 4) This means that the matrix entries can be written as hlk = hkl . Hermitian matrices are also normal HH ∗ = H ∗ H. 5) Calculating the eigensystem of matrix H we get the set of real valued eigenvalues Λ where the trace of H equals the sum of the eigenvalues n n hkk = tr(H) = k=1 If, in addition, hkk = 0 ∀ k λk .

5. Related Areas 35 respectively. 13) or respectively. 13 denotes the eigenvalue equation with λ as eigenvalue and s the corresponding eigenvector [Bona 72]. In terms of traditional eigensystem analysis the original network and hence the connections between the vertices are seen as coordinates within a continuous multivariate space which a eigensystem analysis is conducted on. Thereby the variable space is rotated in order to maximise the variability of the first dimension while minimising the variance around the current variable by letting the variable axis “perpendicular to the first, point in the direction of the greatest remaining variability, and so on.