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Difference between revisions of "Simple-iteration method"

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A method for approximately solving a system of linear algebraic equations 
 
A method for approximately solving a system of linear algebraic equations    Ax = b
 
that can be transformed to the form    x = Bx + c
 
that can be transformed to the form    x = Bx + c
and whose solution is looked for as the limit of a sequence  $  x  ^ {k+} 1 = B x  ^ {k} + c $,  
+
and whose solution is looked for as the limit of a sequence  $  x  ^ {k+1} = B x  ^ {k} + c $,  
 
  k = 0 , 1 \dots
 
  k = 0 , 1 \dots
 
where    x  ^ {0}
 
where    x  ^ {0}
Line 33: Line 33:
 
is fulfilled if
 
is fulfilled if
  
1)  $  \sum _ {j=} 1 ^ {n} | b _ {ij} | \leq  \rho $,  
+
1)  $  \sum _ {j=1}  ^ {n} | b _ {ij} | \leq  \rho $,  
 
  i = 1 \dots n ;
 
  i = 1 \dots n ;
  
2)  $  \sum _ {i=} 1 ^ {n} | b _ {ij} | \leq  \rho $,  
+
2)  $  \sum _ {i=1}  ^ {n} | b _ {ij} | \leq  \rho $,  
 
  j = 1 \dots n ;
 
  j = 1 \dots n ;
  
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is the identity matrix, for    B .  
 
is the identity matrix, for    B .  
 
If all diagonal entries of    A
 
If all diagonal entries of    A
are non-zero, then, choosing  $  b = D  ^ {-} 1 ( D - A ) $
+
are non-zero, then, choosing  $  b = D  ^ {-1} ( D - A ) $
and  $  c = D  ^ {-} 1 b $,  
+
and  $  c = D  ^ {-1} b $,  
 
where    D
 
where    D
 
is the diagonal matrix with as diagonal entries those of    A ,  
 
is the diagonal matrix with as diagonal entries those of    A ,  
Line 73: Line 73:
  
 
$$  
 
$$  
x _ {i}  ^ {k+} 1 =  x _ {i}  ^ {k} - \tau \phi _ {i} ( x  ^ {k} ) ,\  1 \leq  
+
x _ {i}  ^ {k+1}  =  x _ {i}  ^ {k} - \tau \phi _ {i} ( x  ^ {k} ) ,\  1 \leq  
 
i \leq  n ,\  k \geq  0 .
 
i \leq  n ,\  k \geq  0 .
 
$$
 
$$

Latest revision as of 20:21, 10 January 2024


A method for approximately solving a system of linear algebraic equations Ax = b that can be transformed to the form x = Bx + c and whose solution is looked for as the limit of a sequence x ^ {k+1} = B x ^ {k} + c , k = 0 , 1 \dots where x ^ {0} is an initial approximation. In order that the simple-iteration method converges for any initial approximation x ^ {0} it is necessary and sufficient that all eigenvalues of B are less than one in modulus; it is sufficient that some norm of B is less than one. If in some norm, compatible with the norm of a vector x , B satisfies \| B \| \leq \rho < 1 , then the simple-iteration method converges at the rate of a geometric series and the estimate

\| x ^ {m} - x \| \leq \rho ^ {m} \| x ^ {0} - x \|

holds for its error.

In the case of a cubic, octahedral or spherical vector norm, the condition \| B \| \leq \rho is fulfilled if

1) \sum _ {j=1} ^ {n} | b _ {ij} | \leq \rho , i = 1 \dots n ;

2) \sum _ {i=1} ^ {n} | b _ {ij} | \leq \rho , j = 1 \dots n ;

3) \sum _ {i , j = 1 } ^ {n} b _ {ij} ^ {2} \leq \rho ^ {2} .

The simplest version of the method corresponds to the case when one takes I - A , where I is the identity matrix, for B . If all diagonal entries of A are non-zero, then, choosing b = D ^ {-1} ( D - A ) and c = D ^ {-1} b , where D is the diagonal matrix with as diagonal entries those of A , one obtains the Jacobi method or the method of simultaneous displacement.

A particular case of the simple-iteration method is the method with B = I - \tau A and c = \tau b , where \tau is an iteration parameter, chosen from the condition that the norm of I - \tau A is minimal with respect to \tau . If \gamma _ {1} and \gamma _ {2} are the minimal and maximal eigenvalues of a symmetric positive-definite matrix A and \tau = 2 / ( \gamma _ {1} + \gamma _ {2} ) , then one has for the matrix B in the spherical norm the estimate \| B \| \leq \rho , with \rho = ( \gamma _ {2} - \gamma _ {1} ) / ( \gamma _ {2} + \gamma _ {1} ) < 1 .

For a system of non-linear algebraic equations

\phi _ {i} ( x) = 0 ,\ 1 \leq i \leq n ,\ x = ( x _ {1} \dots x _ {n} ) ,

the simple-iteration method has the form

x _ {i} ^ {k+1} = x _ {i} ^ {k} - \tau \phi _ {i} ( x ^ {k} ) ,\ 1 \leq i \leq n ,\ k \geq 0 .

The problem of choosing the iteration parameter \tau is solved in dependence on the differentiability properties of the \phi _ {i} . Often it is subjected to the requirement that the method converges locally in a neighbourhood of a solution.

References

[1] D.K. Faddeev, V.N. Faddeeva, "Computational methods of linear algebra" , Freeman (1963) (Translated from Russian)
[2] I.S. Berezin, N.P. Zhidkov, "Computing methods" , Pergamon (1973) (Translated from Russian)
[3] J.M. Ortega, W.C. Rheinboldt, "Iterative solution of non-linear equations in several variables" , Acad. Press (1970)
[4] A.A. Samarskii, E.S. Nikolaev, "Numerical methods for grid equations" , 1–2 , Birkhäuser (1989) (Translated from Russian)
How to Cite This Entry:
Simple-iteration method. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Simple-iteration_method&oldid=48702
This article was adapted from an original article by E.S. Nikolaev (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article