Matrices

Edit Answers
1234567891011121314151617
Across
  1. 2. A and A^T have------ eigen values
  2. 7. Product of eigen values
  3. 9. Both positive and negative eigen values indicates the nature of QF as
  4. 12. Every square matrix satisfies its own---equation
  5. 13. For----matrix determinant is zero
  6. 14. Positive definite means all eigenvalues are
  7. 16. A 3×3matrix has eigenvalues 2,3,λ. If det(A)=12, what is λ
  8. 17. Zero determinant means one eigenvalue is
Down
  1. 1. A homogenous polynomial of second degree in any no. of variables
  2. 3. A and A^-1 have------ eigen values
  3. 4. Sum of eigen values
  4. 5. For triangular matrix, eigen values appears in ---of matrix
  5. 6. No of terms in canonical form is
  6. 8. Negative definite means all eigenvalues are
  7. 10. For a orthogonal matrix, A*A^T is-----matrix
  8. 11. The zero vector cannot be an ______
  9. 15. No. of positive terms in QF is