(a) Explain why the Jacobi and Gauss-Seidel methods may sometimes be preferred over direct methods (such as elimination and factorization) when solving a 3 x 3 linear system Ax = b.

Advanced Engineering Mathematics
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Chapter2: Second-order Linear Odes
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Instruction: Apply three decimal place rounding to calculations where applicable.
(a) Explain why the Jacobi and Gauss-Seidel methods may sometimes be preferred over
direct methods (such as elimination and factorization) when solving a 3 x 3 linear system
Ax = b.
(b) The 3 x 3 system below has solution ₁=1, x₂ = -2 and x3 = 0.
4x1 + 2x₂ - 2x3
0
2x16x22x3 = 14
3x₁x₂ + 4x3 = 5
-
(i) Explain why this system is not strictly diagonally dominant (hereafter SDD).
(0)
(0)
(ii) Using the initial approximation z(0) = 0.75, x= -1.75 and r = -0.25, apply
three iterations of the Jacobi Method to the above system.
(iii) Taking the initial approximation (0) = 0.75, x) = -1.75 and 20) = -0.25, apply
three iterations of the Gauss-Seidel Method to the system.
(iv) Will the Jacobi and Gauss-Seidel iterates for all 3 x 3 linear systems that are not
SDD always diverge? If not, give an example of a system that is not SDD, but for which
the Jacobi and Gauss-Seidel iterates converge to the solution of the system.
Transcribed Image Text:Instruction: Apply three decimal place rounding to calculations where applicable. (a) Explain why the Jacobi and Gauss-Seidel methods may sometimes be preferred over direct methods (such as elimination and factorization) when solving a 3 x 3 linear system Ax = b. (b) The 3 x 3 system below has solution ₁=1, x₂ = -2 and x3 = 0. 4x1 + 2x₂ - 2x3 0 2x16x22x3 = 14 3x₁x₂ + 4x3 = 5 - (i) Explain why this system is not strictly diagonally dominant (hereafter SDD). (0) (0) (ii) Using the initial approximation z(0) = 0.75, x= -1.75 and r = -0.25, apply three iterations of the Jacobi Method to the above system. (iii) Taking the initial approximation (0) = 0.75, x) = -1.75 and 20) = -0.25, apply three iterations of the Gauss-Seidel Method to the system. (iv) Will the Jacobi and Gauss-Seidel iterates for all 3 x 3 linear systems that are not SDD always diverge? If not, give an example of a system that is not SDD, but for which the Jacobi and Gauss-Seidel iterates converge to the solution of the system.
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(b) The 3 x 3 system below has solution ₁ = 1, 2 = -2 and x3 = 0.
0
4x1 + 2x2 - 2x3
2x16x22x3 = 14
3x1x₂ + 4x3 = 5
(i) Explain why this system is not strictly diagonally dominant (hereafter SDD).
(0)
(0)
(0)
(ii) Using the initial approximation z = 0.75, x=-1.75 and
three iterations of the Jacobi Method to the above system.
=
= -0.25, apply
(iii) Taking the initial approximation (0) = 0.75, x = -1.75 and r=-0.25, apply
three iterations of the Gauss-Seidel Method to the system.
(iv) Will the Jacobi and Gauss-Seidel iterates for all 3 x 3 linear systems that are not
SDD always diverge? If not, give an example of a system that is not SDD, but for which
the Jacobi and Gauss-Seidel iterates converge to the solution of the system.
Transcribed Image Text:(b) The 3 x 3 system below has solution ₁ = 1, 2 = -2 and x3 = 0. 0 4x1 + 2x2 - 2x3 2x16x22x3 = 14 3x1x₂ + 4x3 = 5 (i) Explain why this system is not strictly diagonally dominant (hereafter SDD). (0) (0) (0) (ii) Using the initial approximation z = 0.75, x=-1.75 and three iterations of the Jacobi Method to the above system. = = -0.25, apply (iii) Taking the initial approximation (0) = 0.75, x = -1.75 and r=-0.25, apply three iterations of the Gauss-Seidel Method to the system. (iv) Will the Jacobi and Gauss-Seidel iterates for all 3 x 3 linear systems that are not SDD always diverge? If not, give an example of a system that is not SDD, but for which the Jacobi and Gauss-Seidel iterates converge to the solution of the system.
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