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Test your basic knowledge |
CSET Linear Algebra
Start Test
Study First
Subjects
:
cset
,
math
,
algebra
Instructions:
Answer 44 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. If a? and b? are two vectors - <a1 - a2> and <b1 - b2> - the dot product of a?and b? is defined as a?
Vector has two things
Vector addition
vector subtraction
dot product definition
2. Sum of numbers divisible by three - number is divisible by 3.
divisibility rule for 3
Identity matrix
dot product definition
Relatively prime
3. Or norm - of a vector using the distance formula. |v|=(x2-x1)2+(y2- y1)2. (square each component of vector)
zero vector
angle of vector
To prove by mathematical induction
Magnitude of a vector
4. If the initial point of a vector has coordinate (x1 - y1)and the terminal point has coordinate (x2 - y2) - then the ordered pair that represents the vector is <x2-x1 - y2- y1>> .
Cross product
Algebraic vector ordered pair
Identity matrix
orthogonal vectors
5. A vector with a magnitude of 1. the positive X- axis is vector i - pos. <1 -0> y xis is vector j <0 -1>
unit vector
divisibility rule for 6
Velocity vector
3- dimensional vectors
6. Vector that describes direction and speed
Scalar multiple
Minors
Velocity vector
Identity matrix
7. Two vectors are parallel if their components are multiples of each other. Ex. <2 -5> and <4 -10> are because 2(2 -5)= 4 -10
Area of a parallelogram
Parallel vectors
Minors
Addition
8. Follows same rules as scalar - but done component by component - and produces another vector (resultant)
Vector has two things
Vector addition
Equivalent vectors
Inverse matrices
9. Magnitude and direction
Vector has two things
Fundamental theorem of arithmetic
How many primes to check for?
divisibility rule for 4
10. To find the minor of an element in a matrix - take the determinant of the part of the matrix without that element.
Parallel vectors
Triangle (head to tail) law
Least common multiple
Minors
11. Divisible by 2 and 3
Pascals rule
Cross product
Finding GCD
divisibility rule for 6
12. A matrix that can be multiplied by the original to get the identity matrix
Triangle (head to tail) law
Cross product
area of a parallelogram
Inverse matrices
13. (0 -0) in two dimensions - (0 -0 -0) in three. magnitude is 0 and no direction - it is a point geometrically
How many primes to check for?
zero vector
divisibility rule for 6
Perfect numbers
14. Sum of last two digit divisible by 4
divisibility rule for 4
angle of vector
Finding GCD
parallel vectors
15. Addition: A?+B?=<x1+x2 - y1+y2>or C?+D?=<x1+x2 - y1+y2 -z1+z2> Subtraction: A?- B?=<x1-x2 - y1- y2>or C?+D?=<x1-x2 - y1- y2 -z1-z2> Scalar Multiplication: kC?=k<x1 - y1 -z1>=<kx1 - ky1 - kz1>or kA?=k<x1 - y1>=<kx1 - ky1>
algebraic vector operations
parallel vectors
Vector has two things
If you know the x and Y component of a vector
16. If the GCF is one - the numbers are relatively prime
Relatively prime
parallelogram law
unit vector
Minors
17. Matrix 3x3: i j k a1 a2 a3 b1 b2 b3 i (a2a3/b2b3) - j(a1a3/b1b3) + k (a1a2/b1b2)= <i - j - k>
Cross product
angle of vectors using cross product:
Addition
polygon law of vector addition
18. Square matrix with ones diagonally and zeros for the rest.
Vector has two things
dot product
Relatively prime
Identity matrix
19. |A|=Ax2+Ay2 ?=tan -1(Ay/Ax)
If you know the x and Y component of a vector
Least common multiple
parallelogram law
Fundamental theorem of arithmetic
20. Is commutative - associative
Scalar multiple
Addition
algebraic vector operations
divisibility rule for 6
21. (inner product)(scalar product) Result is scalar - large if vectors parallel - 0 if vectors perpendicular. Tells us how close vectors are pointing to same point.
Parallel vectors
dot product
Cross product
orthogonal vectors
22. Numbers that are a sum of all of their factors. 6 - 8 - 128
Perfect numbers
Velocity vector
zero vector
Angle of dot product
23. Every integer greater than 1 can be expressed as product of prime numbers
To prove by mathematical induction
Fundamental theorem of arithmetic
If you know the x and Y component of a vector
Area of a parallelogram
24. Equals the magnitude of the cross product
polygon law of vector addition
Perfect numbers
zero vector
Area of a parallelogram
25. Does not matter what order you add them in - it will result in straight vector. If (n -1) numbers of vectors are represented by n -1 sides of a polygon - then the nth side is the sum of the vectors
Relatively prime
angle of vectors using cross product:
Parallel vectors
polygon law of vector addition
26. F ? is the angle between vector A? and the x- axis - then Ax=Acos??Ay=Asin?? EX. If ?= 60
divisibility rule for 4
parallelogram law
angle of vector
Area of a parallelogram
27. (mk) + (mk -1)= (m+1k)
Pascals rule
Fundamental theorem of arithmetic
parallel vectors
divisibility rule for 3
28. Vector a +vector b is placing head of a next to tail of b and sum is a new vector
Equivalent vectors
To prove by mathematical induction
Triangle (head to tail) law
vector subtraction
29. Take the magnitude of the cross product of any two adjacent vectors of the form <a - b - c>(a - and b are y - y - x-x - and c can be zero)
Identity matrix
area of a parallelogram
Addition
Perfect numbers
30. Dot product must equal zero
Equivalent vectors
3- dimensional vectors
Triangle (head to tail) law
orthogonal vectors
31. Have same magnitude and direction - but possibly different starting points
Angle of dot product
unit vector
Identity matrix
Equivalent vectors
32. Switch the direction of one vector and add them (tail to head)
area of a parallelogram
Algebraic vector ordered pair
vector subtraction
Multiplying matrices
33. Multiply first row by first column - add. Multiply first row by second column - add. Mxn multiply by next. Not necessarily commutative
orthogonal vectors
Triangle (head to tail) law
Multiplying matrices
area of a parallelogram
34. Must be scalar multiples of each other
parallel vectors
algebraic vector operations
Triangle (head to tail) law
angle of vectors using cross product:
35. Check for up to the square root of the number
How many primes to check for?
algebraic vector operations
Angle of dot product
Velocity vector
36. Can multiple a vector by a scalar. components of vectors are the same - magnitude is IkI times the vector - direction depends on if k is pos. or neg
Magnitude of a vector
polygon law of vector addition
Scalar multiple
angle of vector
37. Product of two numbers divided by greatest common denominator
orthogonal vectors
Cross product
Least common multiple
Perfect numbers
38. Divide bigger by smaller - dividing smaller by remainder - first remainder by second - second by third - until you have a remainder of 0. Last remainder is GCD (aka euclidean algorithm)
Velocity vector
Vector addition
Finding GCD
Inverse matrices
39. Show statement is true for n=1 - then show it is ture for K+1
Cross product
Perfect numbers
To prove by mathematical induction
Fundamental theorem of arithmetic
40. Same as triangle law except resultant vector is a diagonal of a parallelogram
Perfect numbers
parallelogram law
Opposite vectors
divisibility rule for 4
41. |a?xb?|=|a?||b?|sin? | = | a?. ? is the angle between a? and b? and is restricted to be between 0
Identity matrix
Vector has two things
angle of vectors using cross product:
Angle of dot product
42. If a? and b? are vectors and ? is the angle between them - the dot product denoted by a?
Angle of dot product
Pascals rule
3- dimensional vectors
Opposite vectors
43. Vectors with same magnitude but are in opposite directions (+?-)
Magnitude of a vector
Triangle (head to tail) law
dot product
Opposite vectors
44. On X - Y and Z plane
Vector has two things
zero vector
3- dimensional vectors
Area of a parallelogram
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