Graph Theory Exam 2

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53 Terms

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Spanning tree

subgraph T of G which is a tree and for which V(T)=V(G)

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weights or costs

assigned by certain numbers used for Kruskal’s algorithm and Prim’s algorithm

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minimum spanning tree

for a graph G with weight function w is a spanning tree T of G for which w(T) is minimized

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Kruskal’s algorithm

build it one edge at a time, start with F_0, the first one has no connections, cannot have a cycle, and go in order

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Prim’s (Jarnik’s) algorithm

we use T_0 and so on, use an edge list, go in order, start with a certain vertex and add the edges, should be the same structure as Kruskal’s for the final result

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Every connected graph contains a

spanning tree

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Kruskal’s algorithm produces a minimum spanning tree in a

connected weighted graph

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Prim’s algorithm produces a minimum spanning tree in a

connected weighted graph

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cut-vertex

G-v has more components than G (you only cut one vertex)

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Let v be a cut-vertex in a connected graph G and let u and w be vertices in distinct components of G-v

then v lies on every u-w path in G

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A vertex v of a connected graph G is a cut vertex of G if and only if there exist

vertices u and w distinct from v such that v lies on every u-w path of G

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Let G be a nontrivial connected graph and let u be in V(G). If v is a vertex that is farthest from u in G then

v is not a cut vertex of G

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every nontrivial graph contains

at least two vertices that are not cut-vertices

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non separable graph

nontrivial connected graph with no cut-vertices

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block

a maximal non separable subgraph of G

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a graph of order at least 3 is non separable if and only if

every two vertices lie on a common cycle

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Let G be a nontrivial connected graph. Define the relation R on E(G) by

eRf if e=f or if e and f lie on a common cycle of G (R is an equivalence relation)

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Every two distinct blocks B1 and B2 in a nontrivial connected graph G have the following properties

  • the blocks B1 and B2 are edge-disjoint

  • the blocks B1 and B2 have at most one vertex in common

  • if B1 and B2 have a vertex in common then v is a cut vertex of G

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vertex-cut

in a connected graph G is a set of vertices U for which the subgraph G-U is disconnected

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vertex connectivity

denoted as k(G) known as kappa which is fancy k and k with the lines on the top and bottom going towards the left

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minimum

a set S is minimum with property P for every other set T with property P, |S|≤|T|

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minimal

property P if for every proper subset T of S, T does not have a property P

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trivial graph

if a graph cannot be disconnected by deleting vertices its vertex connectivity is the number of vertices which must be deleted

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G is k connected if

k(G)≥k (kappa of G)

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edge cut

nontrivial connected graph is a set of edges X for which G-X is disconnected

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edge connectivity

size of a minimum edge cut for a graph G (denoted as λ)

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for every positive integer n

λ(K_n)=n-1

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for every graph G

k(G)≤λ(G)≤δ(G) which means the vertex connectivity≤edge connectivity≤min degree

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if G is a cubic graph

k(G) = λ(G)

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if G is a graph of order n and size m≥n-1

k(G)≤[2m/n]

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if G is a connected graph of order at least 3

then its square G² is 2-connected

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Menger’s Theorem

a set of vertices S in a graph G is said to separate vertices u and v if G-S is disconnected and u and v lie in different components of G-S. Then S is a u-v separating set

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Let u and v be nonadjacent vertices in a graph G

minimum number of vertices in a u-v separating set equals the maximum number of internally disjoint u-v paths in G

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a nontrivial graph G is k-connected for some integer k≥2 if and only if

for each pair u,v of distinct vertices of G there are at least k internally disjoint u-v paths in G

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Let G be a k-connected graph and let S be any set of k vertices

if a graph H is obtained from G by adding a new vertex w and joining w to the vertices of S, then H is also k-connected

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Ig G is a k-connected graph and u,v1,v2,…,vk are k+1 distinct vertices of G

then there exist internally disjoint u-vi paths (1≤I≤k) in G

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if G is a k-connected graph, k≥2 then

every k vertices of G lie on a common cycle of G

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for distinct vertices u and v in a graph G the minimum number of edges of G that separate u and v

equals the maximum number of pairwise edge-disjoint u-v paths in G

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a nontrivial graph G is k-edge connected if and only if

G contains k pairwise edge disjoint u-v paths for each pair u,v of distinct vertices of G

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planar

if it can be drawn in R² with no edge crossings

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faces

if G is planar and drawn without crossings we say G’s faces are the regions in R² bounded by the edges of G

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outer face

the unbounded area outside of the drawing of G

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minor

a graph H is a minor of G if H can be obtained from G by deleting edges, deleting vertices, or contracting edges

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Wagner’s Theorem

a graph G is planar if and only if it does not contain k5 or K3,3 as a minor

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Kuratowski’s Theorem

a finite graph is planar if and only if it does not contain a subdivision of K5 or K3,3

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Möbius strip

top and bottom edges are distinct from each other (the left line goes up the right line goes down while the top and bottom line don’t move/do not exist)

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Torus

left line goes up right line goes up and the top and bottom line go to the right

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Klein bottle

left line goes up right line goes down top and bottom line go to the right

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proper vertex coloring

C is a set of colors and c(u) does not equal c(v) for all uv in E(G) so each vertex is assigned one color and two adjacent vertices cannot have the same color

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chromatic number

denoted as χ(G)

minimum vale of k such that G is k-colorable

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Brook’s Theorem

Let G be a connected graph that is not a complete graph or an odd cycle then χ(G)≤Δ(G) (chromatic number ≤ max degree)

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Four Color Theorem

every planar graph is 4-colorable χ(G)≤4 when G is planar

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Euler’s Formula

Let G be a connected planar graph with v vertices, e edges, and f faces then v-e+f=2