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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. Is commutative - associative
Parallel vectors
unit vector
Addition
Equivalent vectors
2. If a? and b? are two vectors - <a1 - a2> and <b1 - b2> - the dot product of a?and b? is defined as a?
polygon law of vector addition
dot product definition
To prove by mathematical induction
3- dimensional vectors
3. Magnitude and direction
Scalar multiple
Parallel vectors
Inverse matrices
Vector has two things
4. (0 -0) in two dimensions - (0 -0 -0) in three. magnitude is 0 and no direction - it is a point geometrically
Cross product
zero vector
Opposite vectors
divisibility rule for 3
5. Vector a +vector b is placing head of a next to tail of b and sum is a new vector
Triangle (head to tail) law
Cross product
Multiplying matrices
Velocity vector
6. If a? and b? are vectors and ? is the angle between them - the dot product denoted by a?
divisibility rule for 6
Angle of dot product
Magnitude of a vector
zero vector
7. Vectors with same magnitude but are in opposite directions (+?-)
Equivalent vectors
3- dimensional vectors
Opposite vectors
dot product
8. Check for up to the square root of the number
If you know the x and Y component of a vector
parallel vectors
Cross product
How many primes to check for?
9. If the GCF is one - the numbers are relatively prime
Pascals rule
Relatively prime
To prove by mathematical induction
If you know the x and Y component of a vector
10. Square matrix with ones diagonally and zeros for the rest.
Inverse matrices
area of a parallelogram
Identity matrix
angle of vectors using cross product:
11. To find the minor of an element in a matrix - take the determinant of the part of the matrix without that element.
Minors
Algebraic vector ordered pair
Cross product
To prove by mathematical induction
12. Must be scalar multiples of each other
If you know the x and Y component of a vector
Minors
dot product
parallel vectors
13. A matrix that can be multiplied by the original to get the identity matrix
Inverse matrices
algebraic vector operations
Parallel vectors
angle of vector
14. 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
Parallel vectors
Inverse matrices
divisibility rule for 3
polygon law of vector addition
15. (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.
Vector has two things
parallelogram law
Pascals rule
dot product
16. Vector that describes direction and speed
Velocity vector
angle of vector
Magnitude of a vector
Pascals rule
17. Matrix 3x3: i j k a1 a2 a3 b1 b2 b3 i (a2a3/b2b3) - j(a1a3/b1b3) + k (a1a2/b1b2)= <i - j - k>
Area of a parallelogram
Cross product
Vector has two things
area of a parallelogram
18. Switch the direction of one vector and add them (tail to head)
orthogonal vectors
Perfect numbers
Inverse matrices
vector subtraction
19. On X - Y and Z plane
Angle of dot product
To prove by mathematical induction
3- dimensional vectors
Fundamental theorem of arithmetic
20. 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
dot product definition
How many primes to check for?
Opposite vectors
polygon law of vector addition
21. Same as triangle law except resultant vector is a diagonal of a parallelogram
parallelogram law
angle of vectors using cross product:
Identity matrix
To prove by mathematical induction
22. Multiply first row by first column - add. Multiply first row by second column - add. Mxn multiply by next. Not necessarily commutative
divisibility rule for 4
Addition
Multiplying matrices
Pascals rule
23. Every integer greater than 1 can be expressed as product of prime numbers
Vector has two things
Perfect numbers
parallelogram law
Fundamental theorem of arithmetic
24. A vector with a magnitude of 1. the positive X- axis is vector i - pos. <1 -0> y xis is vector j <0 -1>
algebraic vector operations
Triangle (head to tail) law
parallelogram law
unit vector
25. Dot product must equal zero
Relatively prime
orthogonal vectors
Parallel vectors
vector subtraction
26. 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>> .
Pascals rule
Algebraic vector ordered pair
Multiplying matrices
area of a parallelogram
27. Divisible by 2 and 3
divisibility rule for 6
unit vector
Triangle (head to tail) law
Pascals rule
28. Equals the magnitude of the cross product
Area of a parallelogram
dot product
divisibility rule for 6
Identity matrix
29. Or norm - of a vector using the distance formula. |v|=(x2-x1)2+(y2- y1)2. (square each component of vector)
How many primes to check for?
Vector addition
Magnitude of a vector
divisibility rule for 6
30. 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)
Multiplying matrices
zero vector
To prove by mathematical induction
area of a parallelogram
31. |A|=Ax2+Ay2 ?=tan -1(Ay/Ax)
If you know the x and Y component of a vector
Equivalent vectors
Velocity vector
Parallel vectors
32. Follows same rules as scalar - but done component by component - and produces another vector (resultant)
Velocity vector
zero vector
Vector addition
divisibility rule for 3
33. Sum of numbers divisible by three - number is divisible by 3.
parallel vectors
Perfect numbers
divisibility rule for 3
dot product definition
34. Sum of last two digit divisible by 4
Minors
Vector addition
divisibility rule for 4
parallelogram law
35. 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>
Inverse matrices
Equivalent vectors
algebraic vector operations
Identity matrix
36. |a?xb?|=|a?||b?|sin? | = | a?. ? is the angle between a? and b? and is restricted to be between 0
angle of vectors using cross product:
To prove by mathematical induction
divisibility rule for 3
Area of a parallelogram
37. Have same magnitude and direction - but possibly different starting points
Area of a parallelogram
Vector addition
Minors
Equivalent vectors
38. 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
Scalar multiple
dot product definition
Opposite vectors
Magnitude of a vector
39. Numbers that are a sum of all of their factors. 6 - 8 - 128
Perfect numbers
Pascals rule
dot product
area of a parallelogram
40. Show statement is true for n=1 - then show it is ture for K+1
To prove by mathematical induction
Angle of dot product
Vector addition
Addition
41. Product of two numbers divided by greatest common denominator
Least common multiple
Cross product
divisibility rule for 3
Vector addition
42. 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)
parallel vectors
Finding GCD
3- dimensional vectors
Algebraic vector ordered pair
43. (mk) + (mk -1)= (m+1k)
Pascals rule
Parallel vectors
Area of a parallelogram
Fundamental theorem of arithmetic
44. F ? is the angle between vector A? and the x- axis - then Ax=Acos??Ay=Asin?? EX. If ?= 60
divisibility rule for 4
To prove by mathematical induction
algebraic vector operations
angle of vector