For each of the following, give an example of a non-zero 4 x 4 matrix A (i.e. non-zero matrix means not all entries are zero) which satisfies the following conditions. I the matrix does not exist, state so and explain why. (a) A is upper triangular as well as lower triangular. (b) A is in row echelon form (REF) but not in reduced row echelon form (RREF). (c) A is symmetric as well as skew-symmetric. (d) A is a scalar matrix and also the identity.
For each of the following, give an example of a non-zero 4 x 4 matrix A (i.e. non-zero matrix means not all entries are zero) which satisfies the following conditions. I the matrix does not exist, state so and explain why. (a) A is upper triangular as well as lower triangular. (b) A is in row echelon form (REF) but not in reduced row echelon form (RREF). (c) A is symmetric as well as skew-symmetric. (d) A is a scalar matrix and also the identity.
Chapter7: Systems Of Equations And Inequalities
Section7.6: Solving Systems With Gaussian Elimination
Problem 3SE: Is there only one correct method of using row operations on a matrix? Try to explain two different...
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![For each of the following, give an example of a non-zero 4 x 4 matrix A (i.e.
non-zero matrix means not all entries are zero) which satisfies the following conditions. If
the matrix does not exist, state so and explain why.
(a) A is upper triangular as well as lower triangular.
(b) A is in row echelon form (REF) but not in reduced row echelon form (RREF).
(c) A is symmetric as well as skew-symmetric.
(d) A is a scalar matrix and also the identity.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff5cd7e2f-d58f-4b28-bfb1-144afe0029d4%2Fa77a7bac-1f88-4384-90f6-9b5bc6c8af7f%2Fmelbkf_processed.png&w=3840&q=75)
Transcribed Image Text:For each of the following, give an example of a non-zero 4 x 4 matrix A (i.e.
non-zero matrix means not all entries are zero) which satisfies the following conditions. If
the matrix does not exist, state so and explain why.
(a) A is upper triangular as well as lower triangular.
(b) A is in row echelon form (REF) but not in reduced row echelon form (RREF).
(c) A is symmetric as well as skew-symmetric.
(d) A is a scalar matrix and also the identity.
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