Linear algebra studies vectors, matrices and linear transformations. It provides a compact language for solving systems, representing geometric transformations and modelling multivariable relationships.
By the end of this lesson, you should be able to:
- Perform valid vector or matrix operations.
- Interpret dimensions and compatibility of matrices.
- Use matrices to represent systems or transformations.
- Check results using structural properties such as dimensions or substitution.
1. Key vocabulary and definition
A matrix is a rectangular array of entries. A vector can be represented as an ordered list or column matrix. Matrix multiplication is defined when the inner dimensions agree.
vectormatrixdimensiondeterminantlinear transformationsystem
2. Essential facts and rules
These are the facts you should know before attempting the worked example.
- An m×n matrix has m rows and n columns.
- Matrix multiplication is generally not commutative: AB may not equal BA.
- For a 2×2 matrix [[a,b],[c,d]], determinant = ad-bc.
3. Standard method
A reliable method helps prevent errors and makes your reasoning easy to follow.
4. Worked example
5. Common mistakes
- Starting calculations before deciding what the question is asking.
- Skipping important steps or changing notation midway through a solution.
- Accepting an answer without checking whether its size, sign or unit is sensible.
6. Video lesson
7. Practice exercise
Complete these without looking at the answers first.
- Add [[1,2],[3,4]] and [[5,6],[7,8]].
- Find the determinant of [[2,1],[5,3]].
- Compute the dot product (1,2,3)·(4,0,-1).
- State the dimension of a matrix with 3 rows and 5 columns.
- Explain why a 2×3 matrix cannot be added to a 3×2 matrix.
Show answers
- [[6,8],[10,12]]
- 1
- 1
- 3×5
- Matrix addition requires equal dimensions
8. Chapter summary
- Understand the underlying idea before memorising a procedure.
- Use precise mathematical notation and show a logical method.
- Always check the final result.