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Homework3(due Wednesday 25th Oct midnight)
Q1. Write a system of equations that is equivalent to the given vector equations. a.
b.
Q2. Write a vector equation that is equivalent to the given system of equations.
Q3. Check if the following set of vectors form an orthogonal set in R3.
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ICS 6N – Homework 7
(In order to solve these problems, it is highly recommended to read Chapters 1.3 -1.5 in the book)
1. Write a system of equations that is equivalent to the given vector equation.
a)
b)
2. Write a vector equation that is equivalent to the given system of equations.
a)
b)
3. Check if the column vectors of matrix A are linearly independent or not.
a)
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7. Calculate the angle between the vectors u and v.
a. 𝒖 = [304
] , 𝒗 = [30
−4]
b. 𝒖 = [101
] , 𝒗 = [040
]
c. 𝒖 = [111
] , 𝒗 = [222
]
8. Calculate the projection vector c of vector b onto vector a.
a. 𝒂 = [100
] , 𝒃 = [321
]
b. 𝒂 = [030
] , 𝒃 = [12
−1]
c. 𝒂 = [002
] , 𝒃 = [503
]
9. Check if the following set of vectors form an orthogonal set in R3.
a. {[00
−2] , [
030
] , [−700
] , [102
] }
b. {[11
−2] , [
534
] , [402
] }
c. {[101
] , [20
−2] , [
030
] }
10. Verify properties of scalar product presented in Slide 3 of Lecture 3 for the following vectors and scalars:
𝒖 = [−121
] , 𝒗 = [122
] , 𝒘 = [111
] , 𝑐 = 2
Q4. Use determinant to find our if the matrix is invertible:
Q5. Compute the inverse of the following matrices if it exists:
Q6. Choose the values of h and k such that the system has: (i) no solution, (ii) unique solution,
(iii) many solutions. Given separate answers for each part.
(In order to solve problems 6 - 8, it is highly recommended to read Chapters 3.1, 3.2)
6. Find the determinants of the following matrices by using row reduction to echelon form:
a)
b)
c)
7.
a) Use determinant to find out if matrix is invertible:
b) Use determinant to find out if set of vectors is linearly independent:
ICS 6N – Homework 5
1. Compute the determinant of the following matrices:
a) 𝐴 = [ 3 −6−1 2 ]
b) 𝐵 = [5 21 3]
c) 𝐶 = [2 1 31 −1 −2
−1 3 2]
d) 𝐷 = [1 0 00 2 00 0 −4
]
e) 𝐸 = [1 2 4 32 4 8 6
−3 5 2 2−1 2 5 −4
]
2. Compute the inverse of the following matrices if it exists:
a) 𝐴 = [5 64 5]
b) 𝐵 = [6 77 8]
c) 𝐶 = [−5 10−4 8 ]
d) 𝐷 = [0 1 00 0 −1
−1 0 0]
e) 𝐸 = [−2 1 2 1−4 2 4 22 1 −3 3
−1 5 4 2]
10. Choose values of h and k such that the system has: I) no solution , II) unique solution, III) many solutions. Give separate answers for each part:
a)
b)
11. Mark each statement with True or False. Justify your answer.
a) In some cases, a matrix may be row reduced to more than one matrix in reduced echelon form, using different sequences of operations.
b) The row reduction algorithm applies only to augmented matrices for a linear system.
c) A basic variable in a linear system is a variable that corresponds to a pivot column in the coefficient matrix.
d) Finding a parametric description of the solution set of a linear system is the same as solving the system.
e) If one row in an echelon form of an augmented matrix is [0 0 0 5 0], then the associated linear system is inconsistent.
f) The reduced row echelon form of a matrix is unique.
g) If every column of an augmented matrix contains a pivot, then the corresponding system is consistent.
h) The pivot positions in the matrix depend on whether row interchanges are used in the row reduction process.
i) A general solution of a system is an explicit description of all solutions of the system.
j) Whenever a system has free variables, the solution set contains many solutions.
Q7. Let A and B be 3x3 matrices with determinant of A = 4 and determinant of B = -3. Use
properties of determinant to compute:
a det (AB)
b det (5A)
c det BT
d det A-1
e det A3
Q8. Let A be a 4x4 matrix with determinant 7. Give a proof or a counter example for each of
the following.
Q9. Given three points A = (1, 3, 1), B = (2, 5, -3), C = (-4, 1, 8).
a. Find the angle in degrees at vertex A.
b. Find the area within the triangle formed by the three points.
Q10. Consider the two vectors v = 3i - 2j + 4k and w = i + j + 2k.
a. Find a vector u that is perpendicular to both v and w.
b. Find the area of the parallelogram that has adjacent edges given by v and w.
c. Find the area of the triangle that has adjacent edges given by v and w.
17. Let A : Rn → Rk be a linear map. Show that the following are equivalent.
a) A is injective (hence n ≤ k ). [injective means one-to-one]
b) dim ker(A) = 0.
c) A has a left inverse B , so BA = I .
d) The columns of A are linearly independent.
18. Let A : Rn → Rk be a linear map. Show that the following are equivalent.
a) A is surjective (hence n ≥ k ).
b) dim im(A) = k .
c) A has a right inverse B , so AB = I .
d) The columns of A span Rk .
19. Let A be a 4× 4 matrix with determinant 7. Give a proof or counterexample for eachof the following.
a) For some vector b the equation Ax = b has exactly one solution.
b) For some vector b the equation Ax = b has infinitely many solutions.
c) For some vector b the equation Ax = b has no solution.
d) For all vectors b the equation Ax = b has at least one solution.
20. Let A : Rn → Rk be a real matrix, not necessarily square.
a) If two rows of A are the same, show that A is not onto by finding a vector y =(y1, . . . , yk) that is not in the image of A . [Hint: This is a mental computation ifyou write out the equations Ax = y explicitly.]
b) What if A : Cn → Ck is a complex matrix?
c) More generally, if the rows of A are linearly dependent, show that it is not onto.
21. Let A : Rn → Rk be a real matrix, not necessarily square.
a) If two columns of A are the same, show that A is not one-to-one by finding a vectorx = (x1, . . . , xn) that is in the nullspace of A .
b) More generally, if the columns of A are linearly dependent, show that A is notone-to-one.
22. Let A and B be n × n matrices with AB = 0. Give a proof or counterexample foreach of the following.
a) Either A = 0 or B = 0 (or both).
5
Q11. Compute the determinant and rank of the following matrices.
a. 1 −1 20 2 40 0 0
b.
1 6 20 0 10 0 0
Q12.
Q13. Prove that (A-1)T = (AT)-1 where A is an invertible matrix.
Q14. Prove (AB)-1 = B-1A-1 using two matrices.
Q15. Using properties of determinants prove the following:
𝑦𝑧 𝑧 𝑦𝑧 𝑧𝑥 𝑥𝑦 𝑥 𝑥𝑦
= 4𝑥𝑦𝑧
Q16.
DETERMINANTS 69
(iii) A system of equations is consistent or inconsistent according as its solutionexists or not.
(iv) For a square matrix A in matrix equation AX = B
(a) If |A| ≠ 0, then there exists unique solution.
(b) If |A| = 0 and (adj A) B ≠ 0, then there exists no solution.
(c) If |A| = 0 and (adj A) B = 0, then system may or may not be consistent.
4.2 Solved Examples
Short Answer (S.A.)
Example 1 If 2 5 6 58 8 3x
x , then find x.
Solution We have 2 5 6 58 8 3x
x . This gives
2x2 – 40 = 18 – 40 ⇒ x2 = 9 ⇒ x = ± 3.
Example 2 If
2
21
2
1 1 1 11 ,
1
x x
y y yz zx xyx y zz z
Δ= Δ = , then prove that ∆ + ∆1 = 0.
Solution We have 1
1 1 1yz zx xyx y z
Interchanging rows and columns, we get
1
111
yz xzx yxy z
2
2
2
1x xyz x
y xyz yxyz
z xyz z
=
DETERMINANTS 79
2 2 2
1 1 11 cosA 1 cosB 1 cosC 0
cos A cosA cos B cosB cos C cosC
⎡ ⎤⎢ ⎥
Δ= + + + =⎢ ⎥⎢ ⎥+ + +⎣ ⎦
.
17. Find A–1 if 0 1 1
A 1 0 11 1 0
and show that 2
–1 A 3IA2 .
Long Answer (L.A.)
18. If 1 2 0
A 2 1 20 1 1
⎡ ⎤⎢ ⎥= − − −⎢ ⎥⎢ ⎥−⎣ ⎦
, find A–1.
Using A–1, solve the system of linear equations x – 2y = 10 , 2x – y – z = 8 , –2y + z = 7.
19. Using matrix method, solve the system of equations3x + 2y – 2z = 3, x + 2y + 3z = 6, 2x – y + z = 2 .
20. Given 2 2 4 1 1 0
A 4 2 4 , B 2 3 42 1 5 0 1 2
, find BA and use this to solve the
system of equations y + 2z = 7, x – y = 3, 2x + 3y + 4z = 17.
21. If a + b + c ≠ 0 and 0a b cb c ac a b
= , then prove that a = b = c.
22. Prove that
2 2 2
2 2 2
2 2 2
bc a ca b ab c
ca b ab c bc a
ab c bc a ca b
is divisible by a + b + c and find the
quotient.
Q17. State true or false.
a.
b.
c.
84 MATHEMATICS
47. If f (x) =
17 19 23
23 29 34
41 43 47
(1 ) (1 ) (1 )
(1 ) (1 ) (1 )
(1 ) (1 ) (1 )
x x x
x x x
x x x
+ + +
+ + +
+ + +
= A + Bx + Cx2 + ..., then
A = ________.State True or False for the statements of the following Exercises:
48. –13A = 31A , where A is a square matrix and |A| ≠ 0.
49. (aA)–1 = –11 A
a , where a is any real number and A is a square matrix.
50. |A–1| ≠ |A|–1 , where A is non-singular matrix.
51. If A and B are matrices of order 3 and |A| = 5, |B| = 3, then|3AB| = 27 × 5 × 3 = 405.
52. If the value of a third order determinant is 12, then the value of the determinantformed by replacing each element by its co-factor will be 144.
53.1 22 3 03 4
x x x ax x x bx x x c
+ + ++ + + =+ + +
, where a, b, c are in A.P.
54. |adj. A| = |A|2 , where A is a square matrix of order two.
55. The determinant sin A cos A sin A +cosBsin B cos A sin B+cosBsin C cos A sin C+cosB
is equal to zero.
56. If the determinant +
x a p u l fy b q v m gz c r w n h
splits into exactly K determinants of
order 3, each element of which contains only one term, then the value of K is 8.
84 MATHEMATICS
47. If f (x) =
17 19 23
23 29 34
41 43 47
(1 ) (1 ) (1 )
(1 ) (1 ) (1 )
(1 ) (1 ) (1 )
x x x
x x x
x x x
+ + +
+ + +
+ + +
= A + Bx + Cx2 + ..., then
A = ________.State True or False for the statements of the following Exercises:
48. –13A = 31A , where A is a square matrix and |A| ≠ 0.
49. (aA)–1 = –11 A
a , where a is any real number and A is a square matrix.
50. |A–1| ≠ |A|–1 , where A is non-singular matrix.
51. If A and B are matrices of order 3 and |A| = 5, |B| = 3, then|3AB| = 27 × 5 × 3 = 405.
52. If the value of a third order determinant is 12, then the value of the determinantformed by replacing each element by its co-factor will be 144.
53.1 22 3 03 4
x x x ax x x bx x x c
+ + ++ + + =+ + +
, where a, b, c are in A.P.
54. |adj. A| = |A|2 , where A is a square matrix of order two.
55. The determinant sin A cos A sin A +cosBsin B cos A sin B+cosBsin C cos A sin C+cosB
is equal to zero.
56. If the determinant +
x a p u l fy b q v m gz c r w n h
splits into exactly K determinants of
order 3, each element of which contains only one term, then the value of K is 8.
84 MATHEMATICS
47. If f (x) =
17 19 23
23 29 34
41 43 47
(1 ) (1 ) (1 )
(1 ) (1 ) (1 )
(1 ) (1 ) (1 )
x x x
x x x
x x x
+ + +
+ + +
+ + +
= A + Bx + Cx2 + ..., then
A = ________.State True or False for the statements of the following Exercises:
48. –13A = 31A , where A is a square matrix and |A| ≠ 0.
49. (aA)–1 = –11 A
a , where a is any real number and A is a square matrix.
50. |A–1| ≠ |A|–1 , where A is non-singular matrix.
51. If A and B are matrices of order 3 and |A| = 5, |B| = 3, then|3AB| = 27 × 5 × 3 = 405.
52. If the value of a third order determinant is 12, then the value of the determinantformed by replacing each element by its co-factor will be 144.
53.1 22 3 03 4
x x x ax x x bx x x c
+ + ++ + + =+ + +
, where a, b, c are in A.P.
54. |adj. A| = |A|2 , where A is a square matrix of order two.
55. The determinant sin A cos A sin A +cosBsin B cos A sin B+cosBsin C cos A sin C+cosB
is equal to zero.
56. If the determinant +
x a p u l fy b q v m gz c r w n h
splits into exactly K determinants of
order 3, each element of which contains only one term, then the value of K is 8.