Singular vs Non-Singular Matrix Visualizer
Run the Singular Matrix Visualizer Fullscreen
Edit the MicroSim with the p5.js editor
About This MicroSim
This visualization shows the fundamental geometric difference between singular and non-singular matrices.
Key Insights:
- Non-singular (det ≠ 0): Transformation is reversible, area preserved (scaled)
- Singular (det = 0): Transformation collapses dimension, not reversible
Watch how the unit square transforms:
- Green: Non-singular, positive determinant (orientation preserved)
- Purple: Non-singular, negative determinant (orientation flipped)
- Red line: Singular - the square collapses to a line!
How to Use
- Click preset buttons: Singular, Non-singular, or Random matrix
- Use morph slider: Smoothly animate from identity to target matrix
- Toggle grid: Show/hide the transformed coordinate grid
- Watch the collapse: See how singular matrices flatten the plane
Embedding
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Lesson Plan
Learning Objectives
Students will be able to:
- Recognize singular matrices visually and algebraically
- Explain why singular matrices are not invertible
- Connect det = 0 to dimension collapse
Suggested Activities
- Morph slowly: Watch the exact moment area becomes zero
- Column relationship: When singular, what's the relationship between columns?
- Predict singularity: Before clicking, guess if a random matrix will be singular
Assessment Questions
- Why can't you "undo" a singular transformation?
- What happens to a circle under a singular transformation?
- If two columns are parallel, what is the determinant? Why?
References
- Chapter 5: Determinants and Matrix Properties - Singular Matrices section
- Linear Algebra Learning Graph