Math Problem Statement

If T ∈ A_F(V) is idempotent, prove that V = A ⊕ B for some subspaces A, B of V. Also, for V = F^3 with given bases B and B' and matrix [T]_B, find T and [T]_{B'}.

Solution

Let’s analyze the two parts of the question:

Question 2: If TAF(V)T \in A_F(V) is idempotent, prove that V=ABV = A \oplus B for some subspaces A,BA, B of VV.

Solution Outline:

  1. Idempotent Property of TT: Since TT is idempotent, we have T2=TT^2 = T. This means applying TT twice is equivalent to applying it once.

  2. Subspaces AA and BB: Define the subspaces:

    • A=Im(T)A = \text{Im}(T) (Image of TT): the set of all vectors T(v)T(v) where vVv \in V.
    • B=ker(T)B = \ker(T) (Kernel of TT): the set of all vectors vVv \in V such that T(v)=0T(v) = 0.
  3. Direct Sum Decomposition:

    • Show that every vVv \in V can be uniquely written as v=a+bv = a + b, where aAa \in A and bBb \in B.
    • Proof of direct sum:
      • Any vVv \in V: v=T(v)+(vT(v))v = T(v) + (v - T(v)).
      • Let a=T(v)Im(T)a = T(v) \in \text{Im}(T) and b=vT(v)ker(T)b = v - T(v) \in \ker(T), since T(vT(v))=T(v)T2(v)=T(v)T(v)=0T(v - T(v)) = T(v) - T^2(v) = T(v) - T(v) = 0.
      • Hence, V=ABV = A \oplus B.
  4. Conclusion: VV is the direct sum of Im(T)\text{Im}(T) and ker(T)\ker(T).


Question 3: Given V=F3V = F^3, bases BB and BB', and matrix [T]B[T]_B, find TT and [T]B[T]_{B'}.

Solution Steps:

  1. Representation of TT:

    • From the given matrix [T]B=[110121213][T]_B = \begin{bmatrix} 1 & -1 & 0 \\ 1 & 2 & 1 \\ 2 & 1 & 3 \end{bmatrix}, TT acts on the basis B={(1,0,0),(0,1,0),(0,0,1)}B = \{(1,0,0), (0,1,0), (0,0,1)\} by multiplying this matrix with coordinate vectors of vF3v \in F^3.
  2. Basis Change Matrix:

    • Compute the change-of-basis matrix PP from BB to BB':
      • B={(1,2,3),(0,2,4),(0,0,5)}B' = \{(1,2,3), (0,2,4), (0,0,5)\}, written in terms of BB, gives: 1 & 0 & 0 \\ 2 & 2 & 0 \\ 3 & 4 & 5 \end{bmatrix}.$$
  3. New Matrix [T]B[T]_{B'}:

    • The transformation matrix in the new basis BB' is given by: [ [T]_{B'} = P^{-1} [T]_B P, ] where P1P^{-1} is the inverse of PP.
  4. Explicit Calculation:

    • Compute P1P^{-1}.
    • Multiply P1[T]BPP^{-1} [T]_B P to find [T]B[T]_{B'}.

If you’d like, I can compute P1P^{-1}, perform the matrix multiplications, and present the final result for [T]B[T]_{B'}. Let me know!

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Linear Transformations
Idempotent Operators
Direct Sum Decomposition
Matrix Representation of Transformations
Change of Basis

Formulas

Idempotent property: T^2 = T
Direct sum: V = A ⊕ B
Matrix transformation in new basis: [T]_{B'} = P^{-1} [T]_B P

Theorems

Rank-Nullity Theorem
Properties of Linear Transformations and Subspaces

Suitable Grade Level

Undergraduate (Linear Algebra)