Let be the matrix . An eigenvalue of is a real number such that there exists a non-zero vector such that . What is the sum of all the eigenvalues of (i.e. sum of all the possible )?
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Solution 1: A x = λ x ⇒ ( A − λ I ) x = 0 , where I is the identity matrix. Since x is not the zero vector, this implies that the determinant of A − λ I is 0. So 0 = ∣ A − λ I ∣ = ∣ ∣ ∣ ∣ 3 − λ 1 0 1 0 − λ ∣ ∣ ∣ ∣ = ( 3 − λ ) ( 1 0 − λ ) − ( 0 ) ( 1 ) = λ 2 − 1 0 λ − 3 λ + 3 0 − ( 0 ) = λ 2 − 1 3 λ + 3 0 = ( λ − 1 0 ) ( λ − 3 )
Thus the eigenvalues of A are 1 0 and 3 . Hence the sum is 1 0 + 3 = 1 3 .
Solution 2: From Linear Algebra, the sum of all the (complex) eigenvalues is equal to the trace of the matrix (sum of entires on the main diagonal). This fact follows from applying Vieta's formula to the polynomial det ( A − λ I ) . Hence, the sum of all the eigenvalues is 3 + 1 0 = 1 3 .
Note: The existence of vectors x 1 0 and x 3 are guaranteed from theory. They may be obtained by setting X = 1 .