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Perron -Frobenius theorem

This Hamiltonian has only non-positive matrix elements and its matrix in the space of spin configurations cannot be represented in a block-diagonal form after any permutation of the basis functions. Therefore, according to the Perron-Frobenius theorem its ground state must be nondegenerate. Obviously, the... [Pg.720]

The problem is to determine the matrix T in such a way that the new variable q = co1(a , y, z) retains some biological interpretation while at the same time the new system becomes more tractable. The next result describes how to do this it is based on the Perron-Frobenius theorem (see Appendix A, Theorem A.4). [Pg.215]

We now see that parts 1 and 2 of the Coulson-Rushbrooke Theorem are really a special case of the matrix theorem proved in D1 in fact, this matrix theorem is, in its turn, only a special case of the famous Perron-Frobenius Theorem on matrices with non-negative elements (1907-1912)R4T. [Pg.90]

Facts (a)-(c) are a generalized Perron- Frobenius theorem fact (d) is a consequence of a generalized spectral radius formula. Note that the worst-case rate of eonvergence to equilibrium from an initial nonequilibriiun distribution is eon trolled by R, and hence by Texp. [Pg.62]

Theorem A. 14 (Perron-Frobenius Theorem). If A is a nonnegative irreducible matrix then A possesses a unique eigenvalue A = A (A), called the Perron-Frobenius eigenvalue, such that... [Pg.216]

From this formula and the Perron-Frobenius Theorem one easily infers that if A is irreducible and B is a non-negative matrix with Bij > 0 for at least a choice of i and j, then A (A - - B) > A (A). Since A is simple... [Pg.216]

Proof. Assertion (1) is just Theorem C.4. The assertion concerning M (xf) follows from the Perron-Frobenius theory (Theorem A.5) and the monotonicity of the time-reversed system (6.3). If J is the Jacobian matrix of / at Xq, then (6.2) implies that —J satisfies the hypotheses of Theorem A.5. It follows that r = —s —J) < 0 is an eigenvalue of J corresponding to an eigenvector u > 0. Because M (Xo) is tangent at Xq to the line through Xq in the direction v, the local stable manifold of Xq is totally ordered. Since M X()) is the extension of the local stable manifold by the order-preserving backward (or time-reversed) system, it follows... [Pg.95]

For special matrices there are theorems that give information about the stability modulus. A matrix is said to be positive if all of the entries are positive this is written A > 0. (Similarly, a matrix is nonnegative if all of the entries are nonnegative.) The very elegant Perron-Frobenius theory applies to such matrices. [Pg.257]

Vol. 1915 T. Biyikoglu, J. Leydold, P.F. Stadler, Laplacian Eigenvectors of Graphs. Perron-Frobenius and Faber-Krahn Type Theorems (2007)... [Pg.467]

Biyikoglu T, Leydold J, Stadler PF (2007) Laplacian eigenvectors of graphs. Perron-Frobenius and Faber-Krahn type theorems, LNM1915. Springer, Berlin/Heidelberg Brenner DW (1990) Phys Rev B 42 9458-9471... [Pg.114]

In this case Theorem 3.4(2) is the analog of (2.14) we have to estimate the mass renewal function of a transient process and it is not surprising that the decay of the transition probability is proportional to the decay of the mass renewal function, c/. Theorem A.4. Again we are left with establishing the precise asymptotic behavior and computing the constant and for this we refer to [Caravenna et al. (2005)]. We give here the value of the constant let B = S M(n) and recall that the Perron-Frobenius eigenvalue of B is (5. We have... [Pg.77]

The literature on ergodic theory contains an interesting theorem concerning the spectrum of the Frobenius-Perron operator P. In order to state this result, we have to reformulate P as an operator on the Hilbert space L P) of all square integrable functions on the phase space P. Since and, therefore, / are volume preserving, this operator P L P) —+ L r) is unitary (cf. [20], Thm. 1.25). As a consequence, its spectrum lies on the unit circle. [Pg.107]

From the theorems of Perron and Frobenius it follows that this is true apart from some exceptional cases.t However, we shall not pursue this approach here, because in the next chapter all relevant results will be derived for the case of continuous time in a different way. [Pg.90]

This extension has been achieved, in the usual multigroup diffusion approximation, by Drs. Martino and Habetler [8]. Their principal tool is the theorem of Jentzsch, which is just the analog for integral linear operators of the theorem of Perron and Frobenius for non-negative matrices. As Drs. Martino and Habetler will themselves describe this work, which closely parallels [3], I will say no more about it. [Pg.120]


See other pages where Perron -Frobenius theorem is mentioned: [Pg.724]    [Pg.21]    [Pg.166]    [Pg.63]    [Pg.190]    [Pg.246]    [Pg.142]    [Pg.99]    [Pg.262]    [Pg.724]    [Pg.21]    [Pg.166]    [Pg.63]    [Pg.190]    [Pg.246]    [Pg.142]    [Pg.99]    [Pg.262]    [Pg.119]    [Pg.82]    [Pg.104]    [Pg.465]    [Pg.95]   
See also in sourсe #XX -- [ Pg.90 , Pg.104 ]




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