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






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






3. 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)






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






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






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)






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






8. 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>






9. Equals the magnitude of the cross product






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






11. Product of two numbers divided by greatest common denominator






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






13. 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>> .






14. (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.






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






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






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






18. Sum of last two digit divisible by 4






19. Must be scalar multiples of each other






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






21. (0 -0) in two dimensions - (0 -0 -0) in three. magnitude is 0 and no direction - it is a point geometrically






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






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






25. Magnitude and direction






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






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






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






29. 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






30. Is commutative - associative






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






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






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






34. Dot product must equal zero






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






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






37. Divisible by 2 and 3






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






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






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






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






42. Vector that describes direction and speed






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






44. On X - Y and Z plane