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