🧮 Unit 1 – Part A (2-Mark Q&A)

Engineering Mathematics

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Part A: 2-Mark Questions

1. If 2, -1, -3 are the eigen values of a matrix A, then the eigen values of the matrix A24 is

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.

2. If 1, -1, 2 are the eigen values of a matrix A, then find the eigen values of the matrix A-1.

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.

3. Write down the matrix for the following quadratic form 2x12 - 2x22 + 4x32 + 2x1x2 - 6x1x3 + 6x2x3.

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:

21-3
1-23
-334

4. If the Matrix A =
314
026
005
then eigen value of A-1 is 3, 2, 5. (True/False)

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.

5. Is the Quadratic form x2 - y2 + 4z2 + 4xy + 2yz + 6xz indefinite?

Step 1: Write the matrix of the quadratic form

The symmetric matrix is:

123
2-11
314

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. D1 = |1| = 1 (Positive)
  2. D2 =
    12
    2-1
    = (1)(-1) - (2)(2) = -1 - 4 = -5 (Negative)

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.

6. Find the sum of eigen values and product of eigen values of A =
2-3
4-2

Step 1: Recall formulas

Step 2: Apply formulas

Final Answer:
Sum of eigenvalues = 0
Product of eigenvalues = 8

7. Two of the eigen values of A =
3-11
-15-1
1-13
are 3 and 6. Find the eigen value of A-1.

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.

8. For A =
10
05
, write A2 in terms of A and I, using Cayley Hamilton theorem.

Step 1: Find the characteristic equation of A

The characteristic equation is det(A - λI) = 0.

1-λ0
05-λ
= (1-λ)(5-λ) = 0

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

9. State the nature of Quadratic form 2xy + 2yz + 2zx.

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:

011
101
110

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.

10. State Cayley Hamilton theorem

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 =

20
03
, the characteristic equation is (2-λ)(3-λ) = λ2 - 5λ + 6 = 0.

By the theorem, A2 - 5A + 6I = 0.

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