Q18Discrete Mathematics
Question
5 marks
Find the incidence matrices for the following graphs and .
Answer
A structured methodology explaining how to mathematically translate a visual graph into a precise Boolean incidence matrix by mapping vertices to rows and edges to columns.
Constructing an incidence matrix is the mathematical process of translating the visual, topological layout of a graph into a strict, machine-readable algebraic array. The resulting 2D matrix provides a complete map of exactly how every single edge interacts with the graph's vertices.
The Construction Methodology
The construction requires a meticulous, systematic evaluation of every vertex and edge.
- Step 1: Matrix Formatting. Analyze the visual graph. Count the total number of vertices (let this be ) and the total number of edges (let this be ). Create an empty grid (matrix) possessing exactly rows and exactly columns. Explicitly label the rows with the names of the vertices (e.g., ) and the columns with the names of the edges (e.g., ).
- Step 2: Cell Evaluation. The matrix is populated by evaluating every single individual cell , where represents a specific row (vertex) and represents a specific column (edge).
- Step 3: The Incidence Rule (Undirected Graph). - Examine edge on the visual graph. Identify the two specific vertices it physically connects. - If vertex is one of those two endpoints, place a '1' in cell . This signifies that the vertex is mathematically incident to the edge. - If vertex is completely untouched by edge , place a '0' in cell . - (Self-Loops): If an edge connects a vertex to itself, convention dictates placing a '2' in that cell to maintain the rule that the sum of any column must mathematically equal exactly 2.
- Step 4: Execution. Systematically move through the matrix, either row-by-row or column-by-column, applying the incidence rule to populate every single cell with a 1 or a 0.
- Step 5: Verification. Once complete, perform a mathematical sanity check. In any standard undirected graph without self-loops, if you sum the values vertically down any single column, the result must be exactly 2 (because every edge must have exactly two endpoints). If you sum the values horizontally across a row, the result will precisely equal the mathematical "degree" (number of connected edges) of that specific vertex.