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CSET Linear Algebra

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. 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)






2. Or norm - of a vector using the distance formula. |v|=(x2-x1)2+(y2- y1)2. (square each component of vector)






3. Every integer greater than 1 can be expressed as product of prime numbers






4. Numbers that are a sum of all of their factors. 6 - 8 - 128






5. On X - Y and Z plane






6. 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>






7. Have same magnitude and direction - but possibly different starting points






8. Is commutative - associative






9. Divisible by 2 and 3






10. (0 -0) in two dimensions - (0 -0 -0) in three. magnitude is 0 and no direction - it is a point geometrically






11. Vectors with same magnitude but are in opposite directions (+?-)






12. Vector that describes direction and speed






13. Dot product must equal zero






14. Multiply first row by first column - add. Multiply first row by second column - add. Mxn multiply by next. Not necessarily commutative






15. F ? is the angle between vector A? and the x- axis - then Ax=Acos??Ay=Asin?? EX. If ?= 60






16. 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






17. Sum of last two digit divisible by 4






18. If the GCF is one - the numbers are relatively prime






19. If a? and b? are vectors and ? is the angle between them - the dot product denoted by a?






20. Vector a +vector b is placing head of a next to tail of b and sum is a new vector






21. |a?xb?|=|a?||b?|sin? | = | a?. ? is the angle between a? and b? and is restricted to be between 0






22. Matrix 3x3: i j k a1 a2 a3 b1 b2 b3 i (a2a3/b2b3) - j(a1a3/b1b3) + k (a1a2/b1b2)= <i - j - k>






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






24. |A|=Ax2+Ay2 ?=tan -1(Ay/Ax)






25. (mk) + (mk -1)= (m+1k)






26. Equals the magnitude of the cross product






27. (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.






28. Must be scalar multiples of each other






29. Follows same rules as scalar - but done component by component - and produces another vector (resultant)






30. If a? and b? are two vectors - <a1 - a2> and <b1 - b2> - the dot product of a?and b? is defined as a?






31. Sum of numbers divisible by three - number is divisible by 3.






32. Show statement is true for n=1 - then show it is ture for K+1






33. Magnitude and direction






34. 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>> .






35. Same as triangle law except resultant vector is a diagonal of a parallelogram






36. Switch the direction of one vector and add them (tail to head)






37. Square matrix with ones diagonally and zeros for the rest.






38. A vector with a magnitude of 1. the positive X- axis is vector i - pos. <1 -0> y xis is vector j <0 -1>






39. To find the minor of an element in a matrix - take the determinant of the part of the matrix without that element.






40. 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)






41. A matrix that can be multiplied by the original to get the identity matrix






42. Check for up to the square root of the number






43. Product of two numbers divided by greatest common denominator






44. 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