Math Problem Statement
Solution
Let’s analyze the two parts of the question:
Question 2: If is idempotent, prove that for some subspaces of .
Solution Outline:
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Idempotent Property of : Since is idempotent, we have . This means applying twice is equivalent to applying it once.
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Subspaces and : Define the subspaces:
- (Image of ): the set of all vectors where .
- (Kernel of ): the set of all vectors such that .
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Direct Sum Decomposition:
- Show that every can be uniquely written as , where and .
- Proof of direct sum:
- Any : .
- Let and , since .
- Hence, .
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Conclusion: is the direct sum of and .
Question 3: Given , bases and , and matrix , find and .
Solution Steps:
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Representation of :
- From the given matrix , acts on the basis by multiplying this matrix with coordinate vectors of .
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Basis Change Matrix:
- Compute the change-of-basis matrix from to :
- , written in terms of , gives: 1 & 0 & 0 \\ 2 & 2 & 0 \\ 3 & 4 & 5 \end{bmatrix}.$$
- Compute the change-of-basis matrix from to :
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New Matrix :
- The transformation matrix in the new basis is given by: [ [T]_{B'} = P^{-1} [T]_B P, ] where is the inverse of .
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Explicit Calculation:
- Compute .
- Multiply to find .
If you’d like, I can compute , perform the matrix multiplications, and present the final result for . Let me know!
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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)
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