VLGA definitions term 1 Flashcards

1
Q

Set

A

A collection of things

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2
Q

order

A

how many elements a set has (do not count repeated elements twice)

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3
Q

cartesian product

A

the collection of ordered pairs obtained by the product of two non empty sets

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4
Q

difference (of A and B)

A

those elements which are in A but not in B

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5
Q

commutative

A

order of operations doesn’t matter

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6
Q

Associative

A

placement of brackets doesn’t matter

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7
Q

distributive

A

expansion of brackets

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8
Q

complement of A

A

All the elements in the universal set which are not in A

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9
Q

mathematical induction

A
if  P(n) is a statement involving n∈ℕ
(i) P(1) is true
(ii)  for each k∈ℕ, we have
P(k) is true => P(k+1) is true 
Then P(n) is true for all n∈ℕ
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10
Q

linear equation

A

an equation that has no products of unknowns and no powers.

e.g. ax+by=c

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11
Q

solution to linear equations

A

the system has a solution whenever the values simultaneously satisfy all the equations

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12
Q

homogeneous

A

The constants in the system of equations are all equal to zero. There is a trivial solution that x₁, x₂, x₃, xₙ are equal to 0.

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13
Q

non homogeneous

A

The constants in the simultaneous equations are equal to anything

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14
Q

matrices are equal

A

if

(i) both have the same dimension mxn
(ii) aᵢⱼ = bᵢⱼ for all i,j

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15
Q

matrix

A

array of numbers

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16
Q

matrix order

A

mxn where m is the number of rows and n is the number of columns`

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17
Q

sub-matrix

A

a part of a bigger matrix

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18
Q

zero matrix

A

a matrix where all the elements are equal to zero

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19
Q

diagonal matrix

A

An nxn matrix is diagonal when:

aᵢⱼ = 0 for i!=j

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20
Q

identity matrix

A

A diagonal matrix where the the diagonal is all 1s

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21
Q

Upper Triangular matrix

A

any nxn matrix where aᵢⱼ = 0 where i>j

22
Q

Lower Triangular matrix

A

any nxn matrix where aᵢⱼ = 0 where j>i

23
Q

inverse matrix

A

Let A be an nxn matrix. If there exists an nxn matrix B such that A.B = I = B.A
Then is is said to be invertible and we write B = A⁻¹
B is called the inverse of A

24
Q

singular

A

the matrix doesn’t have an inverse

25
Q

Elementary row operation

A

an operation that does not change the solution set of linear equations:

  • > swapping rows
  • > taking multiples of a row
  • > adding a multiple of a row
26
Q

row echelon form

A

A matrix is in row echelon form when:

(i) all rows consisting of only zeros are at the bottom
(ii) First non-zero number in any row is 1
(iii) successive non-zero rows begin with more zeros left of the 1 then then rows above

27
Q

Guassian Elimination

A

applying successive EROs to get the matrix into echelon form.

28
Q

Elementary matrix

A

An nxn elementary matrix is obtained by performing one elementary row operation to the identity matrix I

29
Q

vector quantity

A

a quantity has both magnitude and direction

30
Q

scalar quantity

A

a quantity that has only magnitude

31
Q

set of vectors in three dimensions

A

all three vectors together with the zero vector which has no magnitude or direction.

32
Q

vector alternative

A

the subset of all line segments with the same length and direction

33
Q

vector equality

A

Two vectors are equal if and only if they have the same magnitude and direction

34
Q

Vector Addition

A

This is done in three cases:

(1) u!=0, v!= and u!=-v. Find R such that v = QR. Then u+v = PR
(2) suppose u!=0, v!=0 and u=-v. Then u+ v = 0
(3) if u or v is the zero vector, we set u+0=u

35
Q

Vector Subtraction

A

Vector subtraction is defined as follows:

u-v = u+(-v)

36
Q

Scalar Multiple

A

Given a vector v and a real number (called a scalar), we define the scalar multiple of αv of v by:

(1) α>0, αv has magnitude α|v| and same direction as v
(2) α<0, αv has magnitude |α||v| and direction of -v
(3) α=0, αv = 0

37
Q

position vector

A

Given a point A in three dimensions, with origin O nominated. Then the position vector a of A is OA

38
Q

unit vector

A

A non-zero vector v is a unit vector if |v|=1

39
Q

parallel vectors

A

two vectors which either have

(i) same direction
(ii) opposite direction

40
Q

unit vectors parallel to non-zero vector

A

v/|v| and -|v|/v

41
Q

scalar product

A

Given tow vectors u and v, the scalar product is denoted by u.v and if defined as follows:
(i) u!+0,v!=0. Then
u.v = |u||v|cosθ
Where θ is the non-reflex angle between u and v
(ii) u=0 or v =0
Then we have u.v=0

42
Q

vector projection

A

Given two vectors u and v, the projection of v unto u is given by
projᵤv = (v.u/|u| ) u/|u|

43
Q

vector product

A

The vector product of two vectors u and v in E³ is denoted by uxv. The definition is split into three cases:

(i) u,v!=0 and u not parallel to v
(a) the magnitude of |uxv|= |u||v|sinθ
(b) the direction of uxv is perpendicular to both u and v
(ii) u and v ae non-zero parallel vectors uxv=0
(iii) if u=0 or v=0 then uxv=0

44
Q

Scalar triple product

A

The scalar triple product of three vectors u, v, w is u(vxw) (volume of a parallelipiped)

45
Q

Parabola

A

A parabola is the set of all points in the plane that are equidistant from a given fixed point and a fixed line in the plane

46
Q

Ellipse

A

An ellipse is the set of points in a plane whose distances from two fixed points in the plane have a constant sum

47
Q

Eccentricity of an ellipse

A

The eccentricity of an ellipse is given by e = c/a = √(a²-b²)/a

48
Q

directrices of an ellipse

A

For an ellipse with foci F₁(c,0) and F₂(-c,0) and a standard equation. Then the lines with equations c =±a/e are called the directrices of the ellipse

49
Q

Hyperbola

A

A hyperbola is the set of points in a plane whose distances from two fixed points in the plane have a constant difference.

50
Q

Eccentricity of a hyperbola

A

The eccentricity of a hyperbola is given by e = c/a = √(a²-b²)/a

51
Q

Directrices of hyperbola

A

For an hyperbola with foci F₁(c,0) and F₂(-c,0) where c>0, and a standard equation. Then the lines with equations c =±a/e are called the directrices of the ellipse

52
Q

Rectangular Hyperbola

A

Consider a hyperbola with asymtotes parallel to the x and y axis. This is known as a rectangular hyperbola, with a standard equation xy=c