Re: bound on eigenvalues...
- From: alexandru.lupas@xxxxxxxxxxx
- Date: 6 Dec 2005 03:13:24 -0800
Consider the a symmetric 3 x 3 matrix
A=
a_{11} a_{12} a_{13}
a_{12} a_{22} a_{23}
a_{13} a_{23} a_{33} ,
and denote
D:=(a_{11} -a_{22})^2 +(a_{11}-a_{33})^2 +(a_{22} -a_{33} )^2 +
+ 6*( a_{12}^2 +a_{13}^2 +a_{23}^2) ,
M:= (a_{11} +a_{22} +a_{33} )/3 .
Proposition. If r_3 =< r_2 =< r_1 are the eigenvalues of A,
then :
i)
M+ (1/3)*sqrt(D*0.5) =< r_1 =< M+ (1/3)*sqrt(2*D)
M - (1/3)*sqrt(D*0.5) =< r_2 =< M +(1/3)*sqrt(D*0.5)
M-(1/3)*sqrt(2*D) =< r_3 =< M - (1/3)*sqrt(D*0.5) .
...............................
ii)
sqrt(D*0.5) =< r_1 - r_3 =< sqrt(2*D/3) .
...............................
iii)
min_{1=<i<k=< 3} (x_i - x_k) =< (1/3)*sqrt(D*1.5) .
..........................
Note: sqrt(A) := A^{1/2}
..........................
In your case D=0.35746806 , M= 0.167 .
For instance you find
0.30792315873... =< r_1 =< 0.3685021126423...
.
- References:
- bound on eigenvalues...
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