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