01 Key Concepts
Matrix Notation
A matrix is usually named with a capital letter (A, B, ...) and its entries referenced by row and column position, like a_ij for the entry in row i, column j.
Square Matrix
A matrix with the same number of rows and columns (n x n) โ required for many operations like determinants and eigenvalues.
Identity Matrix (I)
A square matrix with 1s on the main diagonal and 0s everywhere else; acts like the number 1 does in ordinary multiplication.
Zero Matrix
A matrix where every entry is 0; acts like the number 0 does in ordinary addition.
Diagonal Matrix
A square matrix where every entry off the main diagonal is 0 (diagonal entries can be anything).
Transpose (A^T)
Formed by flipping a matrix over its main diagonal, turning rows into columns and columns into rows.
02 Solved Examples
- Place 1s on the main diagonal (top-left to bottom-right) and 0s everywhere else.
- Turn the first row into the first column, and the second row into the second column.
- Original is 2x3, so the transpose is 3x2.
- Check if every off-diagonal entry is 0.
- The top-right and bottom-left entries are both 0.
03 Practice Questions
๐ Matrices โ Downloadable Worksheet
10 questions with a full answer key. Grab the PDF to print, or try the interactive version in your browser.