Transformation matrix:
Let us assume a general transformation matrix
![1229_Transformation matrix.png](https://www.expertsmind.com/CMSImages/1229_Transformation%20matrix.png)
and any point A [x, y].
Then
![1148_Transformation matrix1.png](https://www.expertsmind.com/CMSImages/1148_Transformation%20matrix1.png)
If b = c = 0 and d = 1
then
![32_Transformation matrix2.png](https://www.expertsmind.com/CMSImages/32_Transformation%20matrix2.png)
This is clear that x* generates a scale change in x component of the position vectors. Likewise, if b = c = 0 and a = 1 then
![1324_Transformation matrix3.png](https://www.expertsmind.com/CMSImages/1324_Transformation%20matrix3.png)
y* generates scale change in y component and if both a and d are not equal to 1 then there is scale change in both of the directions.
If a = d > 1, after that it is a case of pure enlargement.
If a = d < 1, after that it is a case of pure compression. In scaling, just the diagonal terms are affected.