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