Networks & Matrices (Edexcel A-Level Further Mathematics): Revision Notes
📚 Revision Notes
10.3.1 Networks & Matrices
Introduction to Networks and Matrices
A network is a graph where edges can represent connections (e.g., roads, wires) and weights on edges often represent distances, costs, or capacities. Matrices provide a compact way to represent networks mathematically.
Adjacency Matrix
The adjacency matrix represents the connections between vertices in a network.
- Rows and columns represent vertices.
- Entries indicate connections:
- if there is an edge between vertices and
- otherwise.
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Example: Adjacency Matrix for an Undirected Graph
For a graph with vertices
Edges:
Weighted Matrix
The weighted matrix includes weights (e.g., distances, costs) instead of simple binary values.
if no edge exists.
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Example: Weighted Matrix
For a graph with :
Drawing a Network from a Matrix
Steps:
- Label vertices: Use rows/columns to determine vertices.
- Add edges: Connect vertices based on non-zero entries in the matrix.
- Include weights: Label edges with their corresponding values if using a weighted matrix.
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Example:
Given the matrix:
Steps to Draw the Network:
- Vertices:
- Edges:
- (weight = 7), (weight = ).
- (weight = 3), (weight = ).
Writing a Matrix from a Network
Steps:
- List vertices: Assign each vertex a row/column in the matrix.
- Fill entries:
- For adjacency matrices, use for connections, otherwise.
- For weighted matrices, use weights for connections, or otherwise.
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Example:
For the graph with:
- Vertices:
- Edges:
The weighted matrix is:
Worked Examples
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Example 1: Drawing a Network from a Weighted Matrix
Given:
Steps:
- Label vertices
- Add edges:
- with weight .
- with weight
Network:
- Vertices:
- Edges:
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Example 2: Writing a Weighted Matrix from a Network
Given the graph:
- Vertices:
- Edges:
Steps:
- Assign rows/columns for vertices.
- Fill weights:
Note Summary
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Common Mistakes
- Misinterpreting weights: Ensure weights in a matrix correspond to correct edges.
- Ignoring symmetry: For undirected graphs, matrices must be symmetric ().
- Confusing zero entries: A zero entry often means no edge, except on the diagonal where it means no self-loop.
- Mislabeling vertices: Ensure consistency between vertex labels and matrix rows/columns.
- Forgetting edge directions: For directed graphs, entries may not be symmetric.
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Key Formulas and Concepts
- Adjacency Matrix:
- Weighted Matrix: