12.5 Exercises

  1. 1.

    Let G be a graph with incidence matrix ∂1 and let B=(bi⁢j)i,j≤k be a (k×k)-submatrix of ∂1 which is nonsingular. Show that there is precisely one permutation σ of 1,…,k such that the product ∏i=1kbi⁢σi is non-zero.

  2. 2.

    Let δi=∂iT be the transpose of the incidence matrices ∂i for i=0,1. Show that δi defines a linear map from Ci−1 to Ci where C−1=𝔽, the underlying field. Further show that δ1∘δ0=0. Describe the spaces I⁢m⁢(δi),K⁢e⁢r⁢(δi) for i=0,1. Can you express the number of connected components in terms of the ranks of these spaces ?

  3. 3.

    Let G be a graph with k components. Suppose B is a (l×l)- submatrix of the incidence matrix ∂1 indexed by {e1,…,el} and rows by {v1,…,vl}. Show that B is a non-singular matrix only if l≤r⁢(∂1) and {e1,…,el} form a forest on {v1,…,vl}. What is the subgraph {e1,…,el} when l=r⁢(∂1) ?

  4. 4.

    Compute the eigenvalues of the Laplacian and Adjacency matrices of the the cycle graph and the path graph.

  5. 5.

    Let G be a graph with n vertices, m edges and let λ1≥…⁢λn be the eigenvalues of the adjacency matrix of G. Show the following bounds for the eigenvalues

    1. (a)

      λ1≤2⁢m⁢(n−1)n

    2. (b)

      δ⁢(G)≤λ1≤Δ⁢(G).

    3. (c)

      If H is an induced subgraph on p vertices then

      λn⁢(G)≤λp⁢(H)≤λ1⁢(H)≤λ1⁢(G).
  6. 6.

    Let G be a connected graph on n vertices and m edges. Let ∂1 be its incidence matrix under a fixed orientation of edges. Let y=(y1,…,yn)T be a (n×1)-column vector such that for some i≠j∈[n], yi=+1,yj=−1 and yl=0 for l∈[n]∖{i,j}. Show that there exists a (m×1)-column vector x such that ∂1x=y. Give a graph-theoretic interpretation of the same.

  7. 7.

    Let λ1≤…≤λn be the eigenvalues of L. Compute the eigenvalues of L+a⁢J for a>0 where J is the all 1 matrix.

  8. 8.

    Compute the eigenvalues of the laplacian matrix L and adjacency matrix A of the Petersen graph. Calculate the number of spanning trees of the Petersen graph. (Hint : Show that A2+A−2⁢I=J)

  9. 9.

    Compute the eigenvalues of L⁢(G×H) in terms of L⁢(G) and L⁢(H) where G×H is the cartesian product of G and H.