A is any nxn matrix with all entries equal to 1 then 0 is an eigenvalu...
Explanation:
To prove that 0 is an eigenvalue of matrix A, we need to show that there exists a nonzero vector x such that Ax = 0.
Let's consider the matrix A with all entries equal to 1.
Matrix A:
[1 1 1 ... 1]
[1 1 1 ... 1]
[1 1 1 ... 1]
...
[1 1 1 ... 1]
Step 1:
To find the eigenvalues of matrix A, we need to solve the equation (A - λI)x = 0, where λ is the eigenvalue and I is the identity matrix.
Step 2:
Substituting A and I into the equation, we get:
[1-λ 1 1 ... 1]
[1 1-λ 1 ... 1]
[1 1 1-λ ... 1]
...
[1 1 1 ... 1-λ] * [x1, x2, x3, ..., xn] = 0
Step 3:
Expanding this equation, we get n equations:
(1-λ)x1 + x2 + x3 + ... + xn = 0
x1 + (1-λ)x2 + x3 + ... + xn = 0
x1 + x2 + (1-λ)x3 + ... + xn = 0
...
x1 + x2 + x3 + ... + (1-λ)xn = 0
Step 4:
Simplifying these equations, we get:
(1-λ)(x1 + x2 + x3 + ... + xn) = 0
Step 5:
Since all entries of matrix A are equal to 1, the sum of all elements in each row is n.
Step 6:
Therefore, the equation becomes:
(1-λ)(n) = 0
Step 7:
Solving this equation, we get:
1-λ = 0
λ = 1
Conclusion:
From the above steps, we can see that the only eigenvalue of matrix A is 1. Therefore, 0 is an eigenvalue of A with multiplicity n-1.
Hence, the correct answer is option A) multiplicity of 0 is n - 1.