Final answer:
Option (A), The statement is True; the columns of a standard matrix for a linear transformation are the images of the identity matrix's columns under the transformation.
Step-by-step explanation:
The statement 'The columns of the standard matrix for a linear transformation from Rⁿ to R⁽ are the images of the columns of the n x n identity matrix under T' is True. The standard matrix for a linear transformation, T, can be found by applying T to each column vector of the identity matrix in Rⁿ. This results in a set of m-dimensional column vectors that make up the columns of the standard matrix.
A matrix A is said to represent the linear transformation T from Rⁿ to R⁽ if for any vector x in Rⁿ, the product Ax is equal to T(x). Therefore, each column of the identity matrix in Rⁿ is transformed by T into a corresponding column in the matrix A, clearly showing that the columns are directly derived from the identity matrix I.