mth603 final term solved papers by moaaz
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If n x n matrices A and B are similar, then they have the different eigenvalues (with the same multiplicities).
@zaasmi said in mth603 final term solved papers by moaaz:
If n x n matrices A and B are similar, then they have the different eigenvalues (with the same multiplicities).
Flase
Similar matrices have the same eigenvalues with the same multiplicities. -
The method is a method of solving a matrix equation on a matrix that has zeros along its main diagonal.
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The method is a method of solving a matrix equation on a matrix that has zeros along its main diagonal.
@zaasmi said in mth603 final term solved papers by moaaz:
The method is a method of solving a matrix equation on a matrix that has zeros along its main diagonal.
At least one
This method involves solving equations on a matrix with zeros along the main diagonal. -
An eigenvector V is said to be normalized if the coordinate of largest magnitude is equal to Unity zero.
unity
Explanation
A normalized eigenvector has a magnitude of 1, making it a unit vector. -
The method is applicable to strictly diagonally dominant or symmetric positive definite matrices A.
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The method is applicable to strictly diagonally dominant or symmetric positive definite matrices A.
@zaasmi said in mth603 final term solved papers by moaaz:
The method is applicable to strictly diagonally dominant or symmetric positive definite matrices A.
True
Explanation:
This method is suitable for matrices that are strictly diagonally dominant or symmetric positive definite. -
The determinant of a matrix is the product of the diagonal elements.
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@zaasmi said in mth603 final term solved papers by moaaz:
The determinant of a matrix is the product of the diagonal elements.
Diagonal
Upper triangular
Lower triangular
ScalarThe determinant of a matrix is calculated by multiplying the diagonal elements.
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Eigenvalues of a symmetric matrix are all Real Zero Positive Negative.
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@zaasmi said in mth603 final term solved papers by moaaz:
Eigenvalues of a symmetric matrix are all Real Zero Positive Negative.
Real
Symmetric matrices have real eigenvalues. -
The Power method can be used only to find the eigen value of A that is largest in absolute call this eigen value the dominant eigen value of A.
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The Power method can be used only to find the eigen value of A that is largest in absolute call this eigen value the dominant eigen value of A.
@zaasmi said in mth603 final term solved papers by moaaz:
The Power method can be used only to find the eigen value of A that is largest in absolute call this eigen value the dominant eigen value of A.
True
The Power method is specifically used to find the dominant eigenvalue of a matrix. -
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