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Let A be an n × n matrix such that the set of all its nonzero eigenvalues has exactly r elements. Which of the following statements is true?
  • a)
    rank A ≥ r
  • b)
    A2​ has r distinct nonzero eigenvalues 
  • c)
    If r = 0, then rank A < n - 1
  • d)
    rank A ≤ r
Correct answer is option 'A'. Can you explain this answer?
Most Upvoted Answer
Let A be an n × n matrix such that the set of all its nonzero ei...
Calculation: 
Let A be an n × n matrix such that the set of all its nonzero eigenvalues has exactly r elements.
let E = { a1 , a2 , . . . . .  ar
for each non zero eigen values there is at least one eigen vector .
for r non zero distinct eigenvector .
range space is at least r .
Hence option 3 is correct .
Option (1): 
Let A = 
 then eigenvalues are 0, 0 ⇒ r = 0
rank(A) = 1 = 2 - 1 ≮ 2 - 1
Option (2) is false
Rank(A) = 1 ≮ r = 0
Option (1) is false
Option (4):
A has r non-zero eigenvalues
⇒ A2 has r non-zero eigenvalues
But if A has r distinct eigenvalues does not imply Ahas r distinct eigenvalues.
Let A =
 
then eigenvalues of A are i, -1
but A2 has eigenvalues -1, -1 which are not distinct.
Option (4) is false.
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Community Answer
Let A be an n × n matrix such that the set of all its nonzero ei...
Rank of Matrix A in terms of its Nonzero Eigenvalues
Rank of a matrix A is defined as the dimension of the column space of A. Let the set of all nonzero eigenvalues of A be denoted by E = {λ1, λ2, ..., λr}.
  • Statement: Rank A ≥ r

  • Since the nonzero eigenvalues of A are λ1, λ2, ..., λr, the rank of A must be at least r because each nonzero eigenvalue corresponds to a linearly independent eigenvector. Therefore, the rank of A is greater than or equal to the number of nonzero eigenvalues, which is r.

Hence, the correct statement is rank A ≥ r.
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Let A be an n × n matrix such that the set of all its nonzero eigenvalues has exactly r elements. Which of the following statements is true?a)rank A ≥ rb)A2has r distinct nonzero eigenvaluesc)If r = 0, then rank A < n - 1d)rank A≤ rCorrect answer is option 'A'. Can you explain this answer?
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