5. Let I be a linear transformation. Show that ker(T) is a subspace. State if it's a subspace of domain or range.

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1. Let T be a one-to-one, onto linear transformation from V into W. Show that Tis also a linear transformation and
specify the domain and range of this linear transformation.
2. Let {V1,V2,.,Vn} be a basis for an inner product space V and suppose VEV is orthogonal to every vector in this
basis. Show that V= 0.
3. Suppose 0 is an eigenvalue of a matrix A. Show that A is not invertible by arguing from the point of view of the
homogeneous linear system with coefficient matrix A and invoking the equivalence theorem. Be very careful with
definitions.
4. Suppose V1,V2, V 3 are eigenvectors of a matrix A corresponding to distinct eigenvalues A1,12,13. Show that
V1,V2,V3 must be linearly independent.
5. Let T be a linear transformation. Show that ker(T) is a subspace. State if it's a subspace of domain or range.
Transcribed Image Text:1. Let T be a one-to-one, onto linear transformation from V into W. Show that Tis also a linear transformation and specify the domain and range of this linear transformation. 2. Let {V1,V2,.,Vn} be a basis for an inner product space V and suppose VEV is orthogonal to every vector in this basis. Show that V= 0. 3. Suppose 0 is an eigenvalue of a matrix A. Show that A is not invertible by arguing from the point of view of the homogeneous linear system with coefficient matrix A and invoking the equivalence theorem. Be very careful with definitions. 4. Suppose V1,V2, V 3 are eigenvectors of a matrix A corresponding to distinct eigenvalues A1,12,13. Show that V1,V2,V3 must be linearly independent. 5. Let T be a linear transformation. Show that ker(T) is a subspace. State if it's a subspace of domain or range.
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