Punhan Maharramli

4. – A set of vectors that spans a space and is linearly independent.
5. – A single number used to multiply a vector or matrix.
6. – A function that acts on elements in a space to produce another element in the same or different space.
7. – The operation used to combine matrices or a matrix and a vector.
9. – A collection of vectors that follows the rules of vector addition and scalar multiplication.
11. – The set of all possible output vectors of a transformation.
12. – A type of equation or transformation that preserves addition and scalar multiplication.
14. – A matrix that doesn’t change another matrix when multiplied with it.

1. – A line or element that runs from one corner of a matrix to the opposite corner.
2. – A mathematical statement where two expressions are set equal.
3. – The set of all vectors that map to the zero vector under a linear transformation.
8. – A type of matrix which, when multiplied by the original, gives the identity matrix.
10. – A quantity that has both magnitude and direction.
12. – A symbol often used to represent eigenvalues.
13. – A transformation that turns a vector around an origin or axis without changing its length