The independence number is the largest cardinality of an independent set in a finite simple graph:
It answers "how many mutually compatible objects can be selected at once?", while the chromatic number asks how many compatible groups are needed for all the vertices. Diestel uses this notation for a largest independent set.[ref]
For the cycle graph , the independent set shows that . Three selected vertices would require at least three unselected vertices separating them around the cycle graph, which has only five vertices. Thus . There are five largest independent sets, obtained by rotating around the cycle graph, and five corresponding minimum vertex covers.
For the complete bipartite graph , an independent set cannot contain a vertex from each side, since every such pair is joined by an edge. The larger side has three vertices, so . A triangle in a graph has independence number one. A graph with no edges and vertices has independence number , including when .
The complement correspondence between vertex covers and independent sets gives, with ,
Every extra vertex that can be left in an independent set is one fewer vertex needed in a minimum vertex cover. This identity holds for all finite simple graphs, including the triangle in a graph and the cycle graph ; it does not require the bipartite graph hypothesis of Kőnig's theorem for bipartite matching.
For a nonempty graph, every colour class of a proper vertex colouring contains at most vertices. Counting all the vertices therefore gives
Since the chromatic number is an integer, the bound rounds up: for the cycle graph , . It is attained by assigning colour to , colour to , and colour to . All five edges, including , have differently coloured endpoints.
For a finite simple graph, . Randomly order its vertices and retain each vertex preceding all its graph neighbours. This gives an independent set with the first expression as its expected value. The second inequality is the Cauchy-Schwarz inequality.
For every sufficiently large , there is a triangle-free graph on vertices with . One construction samples : with positive probability it has fewer than triangles and no independent set of size . Delete one vertex from each triangle and then take an induced -vertex subgraph.

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