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graph
two finite sets, V (a set of vertices) and E (a set of pairs of unordered vertices/edges)
vertex
node
edge
pair of unordered vertices
order
size/cardinality of a graph’s vertex set
adjacent (vertices u,v)
uv ∈ E(G)
nonadjacent
uv ∉ E(G)
incident
e ∈ E contains vertex v
degree (deg(v))
number of edges incident with v
maximum degree (and its notation, ∆(G))
max degree of all vertex degrees in the graph
minimum degree (and its notation, δ(G))
min degree of all vertex degrees in the graph
degree sequence
the sequence of the vertex degrees, usually listed in descending order
walk
a sequence of vertices v1, …, vk s.t. (vi vi+1) ∈ E ∀ i ∈ {1, …, k-1}
path
a walk in which all vertices are distinct
trail
a walk in which all edges are distinct
circuit/closed trail
a trail that begins and ends at the same vertex
cycle/closed path
a v1-vk path (k≥3) together with edge (vk,v1)
length (of a walk, path, trail, cycle, or circuit)
the number of edges
vertex deletion (and its notation, G \ v)
graph obtained by removing v and all edges incident to v from G
edge deletion (and its notation, G \ e)
graph obtained by removing e
connected
every pair of vertices can be joined by a path
connected component
each connected piece of a graph
cut vertex
a vertex whose removal causes the number of connected components to increase
cut set
proper subset of V(G) s.t. G-S is not connected
bridge
an edge whose removal causes the number of connected components to increase
complement (and its notation, Gbar)
the graph whose vertex set is the same as G, but whose edge set is all edges not in G
regular and r-regular
if every vertex has the same degree (deg(v)=r)
subgraph (H subgraph of G)
V(H) ⊆ V(G) and E(H) ⊆ E(G)
induced subgraph , S subset of V(G)
the subgraph with vertex set S with all edges between vertices in S
bipartite
its vertex set can be partitioned into two sets X and Y so that every edge has one vertex in X and one in Y
partite sets
the two sets of a bipartite graph
isomorphic
there exists a mapping from one vertex set to another that preserves adjacencies
distance d(u,v)
the number of edges of the shortest u-v path
adjacency matrix
the nxn matrix A whose (i,j) entry is 1 if (vi,vj) ∈ G, 0 otherwise
distance matrix
the nxn matrix D whose (i,j) entry is d(vi,vj)
tree
a connected graph that contains no cycles
forest
a collection of one or more trees
leaf
a vertex of degree 1 in a tree
spanning tree
Tree that contains every vertex of G
weighted graph
a graph G together with a weight function
minimum weight spanning tree
the sum of the weights of the edges of T is no more than the sum for any other spanning tree
Eulerian trail
a trail in G that contains every edge of G
Eulerian circuit
a circuit in G that contains every edge of G
Eulerian graph
a graph that contains an Eulerian circuit
Hamiltonian path
a path that visits all vertices of G
Hamiltonian cycle
a cycle that visits all vertices of G
Hamiltonian graph
a graph that contains a Hamiltonian cycle
S-free (for a set S, a collection of graphs)
G does not contain any of the paths in S as induced subgraphs
H-free (for a graph G)
G does not contain a copy of H as an induced subgraph
planar
a graph that can be drawn in a way that pairs of edges intersect only at vertices or not at all
nonplanar
a graph that cannot be drawn in a way that pairs of edges intersect only at vertices or not at all
planar representation
a drawing of a graph drawn in a way that pairs of edges intersect only at vertices or not at all
region
enclosed area of a planar representation of graph G
exterior region
the region on the outside of a planar representation of G
k-coloring
a function K: V(G)→[k]
proper k-coloring
no 2 adjacent vertices in G have the same color
k-colorable
a proper k-coloring of G exists
chromatic number (and its notation, χ(G))
the smallest integer k s.t. G is k-colorable
Kn
complete graph of order n, every vertex is connected to every other vertex
En
graph of order n with no edges
Cn
the graph of a cycle on n vertices
Pn
the graph of the path on n vertices
Kn,m
complete bipartite graph with sets of size n and m
Kruskal's Algorithm
add edges of minimum weight that don't form a cycle until MST is formed
Hierholzer’s Algorithm is used for
identifying an Eulerian circuit in Eulerian graph
Prufer sequences are used for
providing a unique sequence representation of a labeled tree
Sum of degrees is equal to
twice the number of edges
every u-v walk contains
a u-v path
A graph with at least 2 vertices is bipartite iff
the graph contains no odd cycles
T is a tree of order n, T contains
n-1 edges
F is a forest of order n containing k connected components, F contains
n-k edges
A graph of order n is a tree iff
it is connected and contains n-1 edges
T is a tree of order n>=2
T has at least 2 leaves
Kruskal's algorithm produces
a minimum spanning tree
G is Eulerian iff
Every vertex has even degree iff the edges of G can be partitioned into edge-disjoint cycles
connected graph G contains an Eulerian trail iff
there are at most two vertices of odd degree
connected graph G of order n, q edges, r regions
n-q+r=2
K_3,3
is nonplanar
K_5
is nonplanar
every planar graph is
4-colorable
factorial (n!)
n(n-1)(n-2)…(2)(1)
permutation
an ordering of n objects (n!)
falling factorial power (x^k_)
x(x-1)…(x-k+1)
rising factorial power (x¯k)
x(x+1)…(x+k-1)
binomial coefficients
(n k)
algebraic proof
transforming one side of an equation to the expression on the other side using substitutions and arithmetic operations
combinatorial proof
showing both sides of an equation count the same thing (counting in 2 ways)
multinomial coefficient (k1+…+km = n)
(n k1,k2,…,km)
multiset
allows for multiple instances of each element
the pigeonhole principle (if more than n objects are distributed among n containers, then)
some container has more than one object
floor
largest integer m satisfying m ≤ x
ceiling
smallest integer m satisfying x ≤ m
relatively prime
two positive integers whose greatest common divisor is 1
generating function
∑k≥0 (ak*x^k) for a sequence {ak}
coefficient operator [x^k]
extracts the coefficient of x^k in a formal power series of x
partial fractions
N(x) / (ax+b)(cx+d) = A / (ax+b) + B / (cx+d)
recurrence relation
an expression for an in terms of n and values a0, a1, …, an-1
order of a recurrence relation (order k)
formula for an depends on only the previous k terms, requires k initial values
closed form of a recurrence relation
requires finitely many steps to complete and makes no reference to values of the sequence, except possibly the initial values
S1, …, Sm are finite sets with orders n1, …, nm, ways to select one from any set is?
n1+n2+…+nm
S1, …, Sm are finite sets with orders n1, …, nm, ways to select one from each set is?
n1 x n2 x…x nm