If A is an eigenvalue of an n x n matrix A, then which of the following statements must be true? Check all that apply. 1. dim (Eλ (A)) = dim(Eλ (A¹)) 2. A⁰Eλ (A) = Eλ (A¹) 3. A is also an eigenvalue of Aᵀ. 4. X² is an eigenvalue of A². 5. dim (Eλ (A))
Added by Alex B.
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Step 2: The dimension of the eigenspace Eλ(A) is the number of linearly independent eigenvectors corresponding to the eigenvalue λ. Step 3: A⁰Eλ(A) = Eλ(A) because A⁰x = Ix = x for any vector x, where I is the identity matrix. Step 4: A is also an eigenvalue of Show more…
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