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(I) The function T : M22→R defined by T(A) = det A is a linear transformation.(II) The composition of two linear transformations is also a lineartransformation.(III)T here is exactly one linear transformation T : V →W for which T(u + v) = T(u − v) for all vectors u and v in V.(IV) The inverse of a one-to-one linear transformation is a lineartransformation.A. II, III. IV True and I FalseB. II, III True and I , IV FalseC. I, III, IV True and II FalseD. II, . IV True and I, III False

Question

(I) The function T : M22→R defined by T(A) = det A is a linear transformation.(II) The composition of two linear transformations is also a lineartransformation.(III)T here is exactly one linear transformation T : V →W for which T(u + v) = T(u − v) for all vectors u and v in V.(IV) The inverse of a one-to-one linear transformation is a lineartransformation.A. II, III. IV True and I FalseB. II, III True and I , IV FalseC. I, III, IV True and II FalseD. II, . IV True and I, III False

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Solution

The correct answer is D. II, IV True and I, III False.

Explanation:

(I) The function T : M22→R defined by T(A) = det A is not a linear transformation. This is because the determinant of a matrix does not satisfy the properties of a linear transformation. For example, the determinant of the sum of two matrices is not equal to the sum of the determinants of the individual matrices.

(II) The composition of two linear transformations is also a linear transformation. This is true because the composition of two linear transformations satisfies the properties of a linear transformation.

(III) There is exactly one linear transformation T : V →W for which T(u + v) = T(u − v) for all vectors u and v in V. This is false. There is no such linear transformation that satisfies this property for all vectors u and v in V.

(IV) The inverse of a one-to-one linear transformation is a linear transformation. This is true because the inverse of a linear transformation is also a linear transformation.

This problem has been solved

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