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