W2_L4: Linear transformations: scaling, rotation
Welcome to Week 2 Lecture 4 of the course "Maths for Electronics 2" by Prof. Andrew Thangaraj.
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Video Overview
This lecture demonstrates how linear transformations in __, specifically scaling and rotation, can be represented using matrices. We begin with examples of symmetric and non-symmetric scaling, deriving the corresponding transformation matrices. We then explore how a rotation by an angle _ is represented by a matrix by observing how the canonical basis vectors are transformed. These examples provide a systematic way to translate geometric transformations into matrix form, reinforcing the deep link between geometry and algebra.
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