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WorksheetsMock Test_6-2_Linear Algebra
Total questions: 110
Worksheet time: 6hrs 30mins
What is the purpose of row operations in solving augmented matrices?
To create a new matrix
To find the determinant of the matrix
To calculate the inverse of the matrix
To simplify and solve the system of equations.
What are the three row operations used to solve augmented matrices?
Interchange two rows, Multiply a row by a non-zero constant, Add a multiple of one row to another row
Swap two rows
Divide a row by a non-zero constant
Subtract a multiple of one row from another row
What in the answer matrix indicates that there is an infinite number of solutions, infinitely many solutions?
the first part of the solution matrix will look like the identity matrix
The solution matrix will be a square matrix
One of the rows in the solution matrix will have all zeros
One of the rows in the solution matrix will have zeros and 1 number.
What in the answer matrix indicates that there is no solution?
the first part of the solution matrix will look like the identity matrix
The solution matrix will be a square matrix
One of the rows in the solution matrix will have all zeros
One of the rows in the solution matrix will have zeros and 1 number.
Reduced Row Echelon Form is where ______________________
Zeroes in the first column of my matrix
Thel ast column has all zeroes
One's are in a diagonal pattern of my matrix with zeroes underneath the one's.before the augmented portion
One's are in a diagonal pattern of my matrix with zeroes above and below the ones before the augmented portion
What is the difference between row echelon form and reduced row echelon form?
The row echelon form allows for leading coefficients other than 1.
The reduced row echelon form does not require the leading coefficient to be 1.
The difference between row echelon form and reduced row echelon form is that the reduced row echelon form has the additional condition that the leading coefficient of each nonzero row is always 1.
The row echelon form has more strict conditions for zero rows than the reduced row echelon form.
This is an example of
Row Echelon Form
Reduced Row Echelon Form
Really Reduced Echelon Form
Really Really Easy Form
This is an example of a
System of Quadratic Equations
Reduced Row Echelon Form
Augmented Matrix
A Canine Doing a Backflip
Solve, if possible.
x - y + 2z = -1
-3x + 3y + 5z = 3
2x - 2y = -2
x = 1, y = 1, z = 4
No solution
Infinitely many solutions
x = -1, y = -1, z = 4
Solve, if possible.
2x + 5y + z = -12
-x + 4y + 3z = -4
5x - 2z = -13
x = 3, y = 1, z = 1
No solution
Infinitely many solutions
x = -3, y = -1, z = -1
Solve, if possible.
3x + 3y = -12
-4x - 2y + 2z = -14
x + 3y + 2z = 11
x = 1, y = 1, z = 4
No solution
Infinitely many solutions
x = -1, y = -1, z = 4
Solve, if possible.
4x - 2y = 2
5x - 2y + z = 7
3x + 4y - z = 3
x = 1, y = 1, z = 4
No solution
Infinitely many solutions
x = -3, y = -1, z = -1
3x+5y-z=4
x-2y-3z=6
3x-5y-z=4
x+2y-3x=6
3x-5y+z=-4
x-2y-3z=6
3x-5y-z=4
x-2y-3z=-6
What is the solution to the 4x5 Matrix?
( 3, 4, 9, 6 )
( 3, 4, 9, -6 )
( -6, 9, 4, 3 )
( 6, 9, 4, 3 )
What is the solution to the systems of equations represented by the 3x4 Matrix?
(4, 6, 2)
(-6, 2, 2)
All Real Numbers
No Solutions
(2,3,5,0)
(2,3,4,5)
All Real Numbers
No Solution
Using back-substitution, calculate the solution for the REF matrix.
(3, -6, 3)
(-6, -6, 3)
(6, -6, 3)
(-6, -6, 3)
14.80x + 17y = 91
14.80x + 17y = 6
14.80y + 17x = 91
14.80x+ 17y = 6
Johnny was using Gaussian Elimination to simplify the matrix. What did he do wrong in this step?
To get a zero for a number you should multiply the same row by its' reciprocal
If you multiply a number to a row you have to change that row too
He added the numbers incorrectly
Nothing. This step was correct.
Jessica is simplifying the matrix using Gaussian Elimination. Did she complete the step correctly?
No, she should have changed the 2 to a zero and multiplied -2 by R2 and added R1
No, she wanted to change the 3 to a zero so she should have multiplied R2 and added it to R3
Yes. When you need a zero you multiply by the number's reciprocal.
No. Just punch in the calculator. Who cares about Carl Gauss
Please draw how you feel about Systems of Linear Equations on the big bird scale :)
🐤🐥

25 18
12 6
7 5
10 12
30 -5 0
30 -5 0
11 4 5
-30 5 0
Evaluate the determinant of the matrix.
40
30
20
10
If A and B are invertible matrix then (AB)-1 =
A-1B-1
AB
B-1A-1
none of these
1. Let A be a square matrix of order 3x3 then| kA| = .
k |A|
k2|A|
k3|A|
3k|A|
When you multiply a matrix by the identity matrix, you obtain the
inverse matrix.
transpose matrix.
Identity matrix
original matrix.
If |A| = 0, then A is
zero matrix
singular matrix
non-singular matrix
Identity matrix
-3 1
3 -1
2 -1
-2 5
9a
9
18a
18
-96
96
-3
-12
If the order of matrix A is m×p. And the order of B is p×n. Then the order of matrix AB is
m × n
n × p
n × m
m × p
What do we call this notation ∣ ∣ ?
absolute value notation
Straight line notation
horizontal line notation
vertical line notation
We can calculate the determinant of the following orders except?
2x2
3x3
2x3
4x4
What are the operations used in calculating the determinant of a matrix?
Addition & Subtraction
Multiplication & Subtraction
Multiplication & Addition
Multiplication & Division
What's the formula in calculating the determinant of a matrix?
ab-dc
ab+dc
ad+bc
ad-bc
Which of the following is the correct equation to get the determinant of the given matrix?
3(2) - 1(5)
3(1) - 2(5)
3(2) + 1(5)
3(1) + 2(5)
Vertical 12.1
Magnitude 12.1
Magnitude 12.1
Magnitude 12.1
Magnitude 19.3
Magnitude 19.3
Magnitude 373
Magnitude 373
State the transformation of f(x) notated by f(x) +2
Vertical Shift Up 2
Vertical Shift Down 2
Horizontal Shift left 2
Horizontal shift right 2
State the transformation of f(x) notated by f(x−2)
Vertical Shift Up 2
Vertical Shift Down 2
Horizontal Shift left 2
Horizontal shift right 2
State the transformation of f(x) notated by f(x+2)
Vertical Shift Up 2
Vertical Shift Down 2
Horizontal Shift left 2
Horizontal shift right 2
State the transformation of f(x) notated by f(x)−2
Vertical Shift Up 2
Vertical Shift Down 2
Horizontal Shift left 2
Horizontal shift right 2
State the transformations from f(x) to g(x):
f(x)=31x+3; g(x) =f(x)−3
Vertical Shift Up 3
Vertical Shift Down 3
Horizontal Shift Left 3
Horizontal Shift Right 3
State the transformations from f(x) to g(x):
f(x)=−3x+4; g(x) =f(x)+1
Vertical Shift Up 1
Vertical Shift Down 1
Horizontal Shift Left 1
Horizontal Shift Right 1
State the transformations from f(x) to g(x):
f(x)=−21x−5; g(x) =f(x−3)
Vertical Shift Up 3
Vertical Shift Down 3
Horizontal Shift Left 3
Horizontal Shift Right 3
State the transformations from f(x) to g(x):
f(x)=32x+1; g(x) =3f(x)
Vertical Shift Up 3
Horizontal Shift up 3
Vertical Stretch by a factor of 3
Vertical Shrink by a factor of 3
State the transformations from f(x) to g(x):
f(x)=32x+1; g(x) =4f(x)
Vertical Shift Up 4
Horizontal Shift up 4
Vertical Stretch by a factor or 4
Vertical Shrink by a factor of 4
State the transformations from f(x) to g(x):
f(x)=3x−12; g(x) =61f(x)
Vertical Stretch by 6
Vertical Shrink by 6
Vertical Stretch by a factor or 61
Vertical Shrink by a factor of 61
State the transformations from f(x) to g(x):
f(x)=4x+8; g(x) =43f(x)
Vertical Stretch by 34
Vertical Shrink by 34
Vertical Stretch by a factor or 43
Vertical Shrink by a factor of 43
State the transformations from f(x) to g(x):
f(x)=x−2; g(x) =41f(x)
Vertical Stretch by 4
Vertical Shrink by 4
Vertical Stretch by a factor or 41
Vertical Shrink by a factor of 41
State the transformations from f(x) to g(x):
f(x)=4x+8; g(x) =−f(x)
Vertical Shift down 1
Horizontal Shift Right 1
Reflection over the x-axis
Reflection over the y-axis
State the transformation of f(x) to g(x):
f(x)=−2x−7; g(x)=f(x−2)
Vertical Shift Up 2
Vertical Shift Down 2
Horizontal Shift left 2
Horizontal shift right 2
Write a new function g(x) to represent the transformation of f(x):
f(x)=−3x+4 to g(x)=f(x)+1
g(x)=−3x + 3
g(x)=−3x+5
g(x)=−3x+1
g(x)=−3x+7
Write a new function g(x) to represent the transformation of f(x):
f(x)=−3x+4 to g(x)=f(x+1)
g(x)=−3x + 3
g(x)=−3x+5
g(x)=−3x+1
g(x)=−3x+7
Write a new function g(x) to represent the transformation of f(x):
f(x)=−2x + 1 to g(x)=−f(x)
g(x)=2x−1
g(x)=2x+1
g(x)=−2x+1
g(x)=−2x−1
The transformation y=f(x−h) is what type of transformation?
Vertical Stretch
Vertical Shrink
Reflection
Horizontal Translation
Vertical Translation
The transformation y=f(x)+k is what type of transformation?
Vertical Stretch
Vertical Shrink
Reflection
Horizontal Translation
Vertical Translation
The transformation y=a⋅f(x) , when a>1 , is what type of transformation?
Vertical Stretch
Vertical Shrink
Reflection
Horizontal Translation
Vertical Translation
A-1: λ=1,1/4,1/7
A-1: λ=1,1/5,1/9
A-1: λ=0,1/5,1/8
A-1: λ=undefined
The dot product and innerproduct are same on the space Rn
True
False
Let W be the subspace of R3 spanned by x=(1,−5,0) . The unit vector u that is a basis for W is
(261,26−5,0)
(271,27−5,0)
(1,0,0)
(0,1,0)
Two vectors u and v are orthogonal if and only if
∥u+v∥2=∥u∥2−∥v∥2
∥u−v∥2=∥u∥2+∥v∥2
∥u∥2+∥v∥2=∥u+v∥2
∥u∥2−∥v∥2=∥u−v∥2
Let V=R3 and W be two dimensional subspace of R3 , the plane containing the origin. Also let L be the line through the origin and perpendicular to W. Then the orthogonal complement of W is
L
L⊥
{(0,0,0)}
None of these
Let A be a 10×10 matrix. Then the orthogonal complement of Col A is
Nul A
Row A
Row AT
Nul AT
Find a basis for the Orthogonal Complement of the row space of B
6?
-3 + (-4)
12
-7
-1
1
-6 - (-4)
-10
2
-2
10
