Practice Assignment 3 on Linear Algebra | MATH 560, Assignments of Linear Algebra

Material Type: Assignment; Class: Linear Algebra; Subject: Mathematics; University: Colorado State University; Term: Unknown 1989;

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Math 560, Assignment 3
Due Monday, October 3
1. Prove Theorem 4.2.3.
2. Prove Theorem 4.3.1.
3. Prove Theorem 4.3.2.
4. Let Tand Sbe linear transformations on a finite dimensional vector space.
(a) Prove that Tand Sare invertible if and only if both ST and T S are invertible.
(b) Prove that if ST =I, then both Sand Tare invertible.
5. (a) Let Xbe the space of polynomials of degree less than nand let T∈ L(X) denote second differentiation,
i.e., T=d2/dx2. Compute the matrix associated with T.
(b) Let X= span {ex, e2x,· · · , enx }, which also forms a basis for X. Compute the matrix of T=d/dx ∈ L(X).
(c) Let Xbe the space of all real two-by-two matrices and let Tbe the linear transformation that sends every
matrix Aonto P A, where P=µ1 1
1 1¶. Find the matrix of Awith respect to the basis consisting of
½µ1 0
0 0¶,µ0 1
0 0¶,µ0 0
1 0¶,µ0 0
0 1¶¾.
6. What happens to the matrix of a linear transformation on a finite dimensional vector space when elements of
the basis with respect to which the matrix is computed are permuted among themselves?
7. Prove that if {x1,Ā· Ā· Ā· , xk}and {y1,Ā· Ā· Ā· , yk}are linearly independent sets of vectors in a finite dimensional
vector space Xthere is a transformation T∈ L(X) such that Txj=yjfor 1 ≤j≤k.
8. Let A=µA11 A12
A21 A22¶and B=µB11 B12
B21 B22¶be two matrices in block form with the same dimensions for
themselves and the blocks. Show that
µA11 A12
A21 A22¶ µB11 B12
B21 B22¶=µA11 B11 +A12B21 A11B12 +A12 B22
A21B11 +A22 B21 A21B12 +A22B22 ¶.
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Math 560, Assignment 3 Due Monday, October 3

  1. Prove Theorem 4.2.3.
  2. Prove Theorem 4.3.1.
  3. Prove Theorem 4.3.2.
  4. Let T and S be linear transformations on a finite dimensional vector space.

(a) Prove that T and S are invertible if and only if both ST and T S are invertible.

(b) Prove that if ST = I, then both S and T are invertible.

  1. (a) Let X be the space of polynomials of degree less than n and let T ∈ L(X) denote second differentiation,

i.e., T = d^2 /dx^2. Compute the matrix associated with T.

(b) Let X = span {e x , e 2 x , · · · , e nx }, which also forms a basis for X. Compute the matrix of T = d/dx ∈ L(X).

(c) Let X be the space of all real two-by-two matrices and let T be the linear transformation that sends every

matrix A onto P A, where P =

. Find the matrix of A with respect to the basis consisting of {( 1 0 0 0

  1. What happens to the matrix of a linear transformation on a finite dimensional vector space when elements of

the basis with respect to which the matrix is computed are permuted among themselves?

  1. Prove that if {x 1 , Ā· Ā· Ā· , xk} and {y 1 , Ā· Ā· Ā· , yk} are linearly independent sets of vectors in a finite dimensional

vector space X there is a transformation T ∈ L(X) such that T xj = yj for 1 ≤ j ≤ k.

  1. Let A =

A 11 A 12

A 21 A 22

and B =

B 11 B 12

B 21 B 22

be two matrices in block form with the same dimensions for

themselves and the blocks. Show that ( A 11 A 12 A 21 A 22

B 11 B 12

B 21 B 22

A 11 B 11 + A 12 B 21 A 11 B 12 + A 12 B 22

A 21 B 11 + A 22 B 21 A 21 B 12 + A 22 B 22