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Step 1: Recall property of eigenvalues
If λ is an eigenvalue of A, then for any positive integer k, λk is an eigenvalue of Ak.
Step 2: Apply for k=24
The eigenvalues of A are λ1 = 2, λ2 = -1, λ3 = -3.
So the eigenvalues of A24 are 224, (-1)24, and (-3)24.
Step 3: Simplify powers
Final Answer:
The eigenvalues of A24 are 224, 1, 324.
Step 1: Recall property
If λ is an eigenvalue of A, then 1/λ is an eigenvalue of A-1 (provided λ ≠ 0).
Step 2: Given eigenvalues of A
1, -1, 2
Step 3: Take reciprocals
Final Answer:
Eigenvalues of A-1 are 1, -1, 1/2.
Step 1: General quadratic form
A quadratic form can be written as Q(x) = xTAx, where A is a symmetric matrix.
Step 2: Match coefficients
Step 3: Write the matrix
Final Answer:
The matrix of the quadratic form is:
| 2 | 1 | -3 |
| 1 | -2 | 3 |
| -3 | 3 | 4 |
| 3 | 1 | 4 |
| 0 | 2 | 6 |
| 0 | 0 | 5 |
Step 1: Recall properties
Step 2: Eigenvalues of A
The matrix A is upper triangular. Therefore, its eigenvalues are the diagonal entries: 3, 2, 5.
Step 3: Eigenvalues of A-1
Take the reciprocals of A's eigenvalues: 1/3, 1/2, 1/5.
Step 4: Compare with statement
The statement says the eigenvalues of A-1 are 3, 2, 5. This is incorrect.
Final Answer: The statement is False.
Step 1: Write the matrix of the quadratic form
The symmetric matrix is:
| 1 | 2 | 3 |
| 2 | -1 | 1 |
| 3 | 1 | 4 |
Step 2: Check definiteness (using Sylvester's criterion)
A quadratic form is indefinite if it has both positive and negative eigenvalues. We check the leading principal minors:
| 1 | 2 |
| 2 | -1 |
Step 3: Conclusion
Since the principal minors are not all positive (D2 < 0), the form is not positive definite. Since D1 > 0 and D2 < 0, the eigenvalues must have mixed signs.
Final Answer: Yes, the quadratic form is indefinite.
| 2 | -3 |
| 4 | -2 |
Step 1: Recall formulas
Step 2: Apply formulas
Final Answer:
Sum of eigenvalues = 0
Product of eigenvalues = 8
| 3 | -1 | 1 |
| -1 | 5 | -1 |
| 1 | -1 | 3 |
Step 1: Find the third eigenvalue of A
Property: Sum of eigenvalues = trace(A) (sum of diagonal elements).
Trace(A) = 3 + 5 + 3 = 11.
Let the eigenvalues be λ1, λ2, λ3. We are given λ1 = 3 and λ2 = 6.
3 + 6 + λ3 = 11 ⇒ 9 + λ3 = 11 ⇒ λ3 = 2.
The eigenvalues of A are 3, 6, 2.
Step 2: Find eigenvalues of A-1
Property: If λ is an eigenvalue of A, then 1/λ is an eigenvalue of A-1.
Take the reciprocals: 1/3, 1/6, 1/2.
Final Answer:
The eigenvalues of A-1 are 1/3, 1/6, 1/2.
| 1 | 0 |
| 0 | 5 |
Step 1: Find the characteristic equation of A
The characteristic equation is det(A - λI) = 0.
| 1-λ | 0 |
| 0 | 5-λ |
This simplifies to λ2 - 6λ + 5 = 0.
Step 2: Apply Cayley-Hamilton theorem
The theorem states that a matrix satisfies its own characteristic equation.
So, we replace λ with A and the constant 5 with 5I:
A2 - 6A + 5I = 0
Step 3: Solve for A2
A2 = 6A - 5I
Final Answer: A2 = 6A - 5I
Step 1: Write in matrix form
The diagonal entries (x2, y2, z2) are 0.
For cross terms (like 2aijxixj), we divide the coefficient by 2.
The matrix is:
| 0 | 1 | 1 |
| 1 | 0 | 1 |
| 1 | 1 | 0 |
Step 2: Check nature
The nature is determined by the eigenvalues of A.
The eigenvalues for this specific matrix are λ1 = 2, λ2 = -1, and λ3 = -1.
Since there are some positive eigenvalues (2) and some negative eigenvalues (-1), the form is indefinite.
Final Answer: The quadratic form is indefinite.
Cayley-Hamilton Theorem:
Every square matrix satisfies its own characteristic equation.
Explanation:
If A is a square matrix, and its characteristic equation (found from det(A - λI) = 0) is p(λ) = 0.
Then, according to the theorem, if you replace λ with the matrix A and any constant c with cI (where I is the identity matrix), the equation still holds true, resulting in the zero matrix.
p(A) = 0
Example:
If A =
| 2 | 0 |
| 0 | 3 |
By the theorem, A2 - 5A + 6I = 0.
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