Prove that the dot product between two vectors is commutative and not associative
Let ~u =< 3, −1, −2 >, ~v =< −1, 0, 2 > and w~ =< −6, 1, 4 >.
Compute the expressions below.
(2.1) ~v + 3w~
(2.2) 3~u − 2~v
(2.3) −(~v + 3~u).
Find a nonzero vector ~u with initial point P(−6, −7, 0) such that
(1.1) ~u has the same direction as ~v =< −1, 2, 4 >.
(1.2) ~u is oppositely directed to ~v =< −1, 2, 4 >
(9.1)Determine for which value (s) of k will the matrix below be non-singular.
2-k -3
A= 2 k+1
(9.2)Determine for which value (s) of k will the matrix below be non-singular.
2 2 1
A = 3 1 3
1 3 k
Assume that A is a 3 by 3 matrix such that det(A) = −10. Let B be a matrix obtained from A using the following elementary row operations:
R3 + 2R1 → R3,
5R1 → R1,
−2R2 → R2
R2 ↔ R3.
Find the determinant of B obtained from the resulting operations, i.e., det(B)
(7.1)Compute the product AB for
0 4 0 1 0 3
A=2 3 1 , B= 1 1 5
3 0 1 2 3 -1
(7.2) Use your answer in (7.1) to evaluate det(AB) and compare it to det(A) det(B).
(7.3)Determine whether or not if det(A + B) is related to det(A) + det(B).
Use Cramer’s rule to solve for x, y and z
2x + y − 3z = 0
4x + 5y + z = 4
x + y − 4z = −1
(5.1)Find det(−2A) and compare it to det(A) for
A= 1 1
3 -1
(5.2)Find det(−2A) and compare it to det(A) for
-2 1 3
A = 1 4 5
2 3 1
(4.1)Use the reduced row echelon form to determine
2 4 6
0 0 2
2 -1 5
(4.2)Use the reduced row echelon form to determine
1 2 -4
2 -3 1
0 0 2
(3.1)Without calculating the determinant, inspect the following:
1 0 0 0
0 1 0 0
0 0 1 0
0 0 0 -2
(3.2)Without calculating the determinant, inspect the following:
1 0 0 0
0 1 0 0
0 0 0 1
0 0 1/4 0