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Home > Matrix & Vector calculators > Power Method for dominant eigenvalue example
19. Power Method for finding dominant eigenvalue example ( Enter your problem )
( Enter your problem )
  1. Example `[[2,3],[4,10]]`
  2. Example `[[8,-6,2],[-6,7,-4],[2,-4,3]]`
  3. Example `[[1,1,1],[-1,-3,-3],[2,4,4]]`
  4. Example `[[5,1],[4,2]]`
 		Other related methods
  1. Transforming matrix to Row Echelon Form
  2. Transforming matrix to Reduced Row Echelon Form
  3. Rank of matrix
  4. Characteristic polynomial of matrix
  5. Eigenvalues
  6. Eigenvectors (Eigenspace)
  7. Triangular Matrix
  8. LU decomposition using Gauss Elimination method of matrix
  9. LU decomposition using Doolittle's method of matrix
  10. LU decomposition using Crout's method of matrix
  11. Diagonal Matrix
  12. Cholesky Decomposition
  13. QR Decomposition (Gram Schmidt Method)
  14. QR Decomposition (Householder Method)
  15. LQ Decomposition
  16. Pivots
  17. Singular Value Decomposition (SVD)
  18. Moore-Penrose Pseudoinverse
  19. Power Method for dominant eigenvalue
  20. Determinant by gaussian elimination
  21. Expanding determinant along row / column
  22. Determinants using montante (bareiss algorithm)
  23. Leibniz formula for determinant
  24. determinants using Sarrus Rule
  25. determinants using properties of determinants
  26. Row Space
  27. Column Space
  28. Null Space
3. Example `[[1,1,1],[-1,-3,-3],[2,4,4]]`
(Previous example)		20. Determinant by gaussian elimination
(Next method)

4. Example `[[5,1],[4,2]]`


Find Power Method for finding dominant eigenvalue ...
`[[5,1],[4,2]]`

Solution:
 `A=` 
51
42


 `x_0=` 
1
1


`1^(st)` Iteration

 `A x_0 =` 
51
42
 
1
1
 `=` 
6
6


and by scaling we obtain the approximation
`x_1=``1/6`
6
6
`=`
1
1


`:.` The dominant eigenvalue `lamda=6`

and the dominant eigenvector is :
`=`
1
1


This material is intended as a summary. Use your textbook for detail explanation.
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3. Example `[[1,1,1],[-1,-3,-3],[2,4,4]]`
(Previous example)		20. Determinant by gaussian elimination
(Next method)


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