finals: sections 1.1 - graph and adjacency matrices Flashcards

1
Q

what is a linear equation?

A

a1x1 + a2x2 + … + anxn = b
where
a1, a2, …, an are real or complex numbers
b is a real or complex number
x1, x2, …, xn are variables

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2
Q

when are two linear systems equivalent?

A

if they have the same solution set

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3
Q

what is a solution set of a linear system?

A

the set of all solutions that makes all of the linear equations in the system true

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4
Q

a system of linear equations has : (solutions)

A
  • exactly one solution
  • infinitely many solutions
  • no solution
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5
Q

when is a system of linear equations consistent?

A

when the system has at least one solution

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6
Q

when is a system of linear equations inconsistent?

A

when the system has no solution

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7
Q

what is a coefficient matrix?

A

the coefficients attached to the variables are put into a matrix

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8
Q

what is an augmented matrix?

A

a coefficient matrix with an added column of constants (that are the entries in the b vector)

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9
Q

what is the size of a matrix?

A

of rows x # of columns (rows x cols)

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10
Q

what are the three elementary row operations?

A
  1. Replacement: replace one row by the sum of itself and a multiple of another row
  2. Interchange: interchange two rows
  3. Scaling: multiply all entries in a row by a nonzero constant
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11
Q

when are two matrices row equivalent?

A

two matrices are row equivalent if there a exists a sequence of elementary row operations that transforms one matrix into another

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12
Q

if the augmented matrices of two linear systems are row equivalent __________________

A

then the two systems have the same solution set

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13
Q

what are the two fundamental questions about a linear system?

A

1) is the system consistent? that is, does it have at least one solution?
2) if a solution exists, is it the only one?

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14
Q

what is the leading entry of a row mean?

A

the leftmost nonzero entry in a nonzero row

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15
Q

what are the conditions for a matrix to be in echelon form?

A

1) all nonzero rows are above any rows of zeros
2) each leading entry of a row is a column to the right of the leading entry of the row above it (lower triangle of zeros)
3) all entries in the column below a leading entry are zeros (lower triangle of zeros)

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16
Q

what are the conditions for a matrix to be in reduced row echelon form?

A

it must satisfy the conditions to be in echelon form and these two conditions:
1) the leading entry in each nonzero row is 1
2) each leading 1 is the only nonzero entry in its column

17
Q

is the reduced row echelon form (RREF) of a matrix unique?

A

yes

18
Q

is the echelon form of a matrix unique?

A

no

19
Q

what is a pivot position in a matrix?

A

it is a location in a matrix A that corresponds to a leading 1 in the RREF of A.

20
Q

what is a pivot column?

A

a column of A that contains a pivot position

21
Q

what is span? (use span{v1, …, vp})

A

span{v1, …, vp} is the set of all the linear combinations of v1, …, vp

22
Q

what is a vector equation?

A

x1[vector] + x2[vector] + … + xp[vector] = [b vector]

23
Q

asking if a vector b is in span{v1, …, vp} is the same as asking _______________

A

does the augmented matrix [v1 … vp b] have a solution?

24
Q

the zero vector is ALWAYS in ________

A

span

25
Q

the equation Ax = b has a solution if and only if __________

A

b is a linear combination of the columns of A

26
Q

what is the definition of a graph G? (graphs and adjacency matrices)

A

a mathematical structure used to model pairwise relations between objects. a graph is defined as a pair G = (V, E)

27
Q

in a graph G = (V, E), what is V?

A

a set of vertices (or nodes)

28
Q

in a graph G = (V, E), what is E?

A

a set of edges, or links, which are two element subsets of fV

29
Q

what is an undirected graph?

A

edges have no direction

30
Q

what is a directed graph?

A

edges have a direction

31
Q

what is a weighted graph?

A

each edge has an associated weight

32
Q

what is an unweighted graph?

A

edges do not have weights

33
Q

what is the definition of an adjacency matrix?

A

it is a square matrix used to represent a graph G. the elements of A are used to indicate whether pairs of vertices are adjacent (connected to each other) or not in the graph

34
Q

what does a 1 mean in an adjacency matrix?

A

the two nodes are connected to each other

35
Q

what does a 0 mean in an adjacency matrix?

A

the two nodes are NOT connected to each other