# characteristic vector

## characteristic vector

[‚kar·ik·tə′ris·tik ′vek·tər]
(mathematics)
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Hence, the input characteristic vector for PNN is [[[sigma].
According to the matrix theory, we can judgment that the weight coefficient of each factor is the characteristic vector w of the judgment matrix.
X) denotes the sectional curvature of the plane section containing the characteristic vector field [?
0] > 0), and we denote q as the characteristic vector corresponding to the characteristic value i[[omega].
Clearly the set X = {v: [phi]'(v) = k + 1} is independent in G (since 0 [member of] t(e) for all e [member of] E) and therefore its characteristic vector p belongs to P.
In a Lorentzian para- Sasakian type spacetime by considering the characteristic vector field [xi] as the flow vector field of the fluid, the energy momentum tensor takes the form
T] Get the characteristic value and the characteristic vector, Due to the high dimensionality of the matrix S = [A.
Note that if indeed d = 1, then all the torsion coefficients are 1; [mu] is just the number of vertices of [SIGMA]; and for any edge [sigma] in [gamma], the vector [chi]([gamma], [sigma]) is the usual signed characteristic vector of the fundamental bond bo([gamma], [sigma]).
In the eigenvalue problem formulated in equation (2), q is an n x 1 unknown vector known as the eigenvector, or characteristic vector, or latent vector; [lambda] is an unknown scalar known as the eigenvalue, or characteristic root, or latent root (Hoy, Livernois, McKenna, Rees, & Stengos, 1996).
When two players fight each other in a battlefield, the strength of each player is calculated by the inner product of the characteristic vector of each player and the characteristic vector of the battlefields, and the winner of the battle is decided by comparing the value of two inner products.
Deriving the characteristic vector q and the characteristic root m or [lambda] in the paper (Hoy, Livernois, McKenna, Rees, and Stengos, 1996), let us assume a special case of equation (2) where W is a 2x2 matrix (a pairwise match up of two currencies) and q an nx1 unknown vector known as the eigenvector or characteristic vector, and m (or [lambda]) an unknown scalar known as the eigenvalue or characteristic root.
therefore there exists a unique global vector field [xi], called the characteristic vector field, such that [eta]([xi]) = 1, d[eta]([xi], *) = 0, and consequently [L.

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