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