JEE Advanced 2026Paper 1
- Exam
- JEE Advanced
- Year
- 2026
- Paper
- Paper 1
- Subject
- Mathematics
- Chapter
- Matrices
JEE Advanced 2026 · Paper 1 · Mathematics · Matrices
For real numbers α, β, γ, and μ , consider the matrix M = bmatrix α...
For real numbers and , consider the matrix
.
Suppose that , where is the transpose of the matrix , and is the identity matrix. Let
, and .
Match each entry in List-I to the correct entry in List-II and choose the correct option.
.
Suppose that , where is the transpose of the matrix , and is the identity matrix. Let
, and .
Match each entry in List-I to the correct entry in List-II and choose the correct option.
| List-I | List-II |
|---|---|
| (P) The value of is | (1) |
| (Q) for some real numbers and , then the value of is | (2) |
| (R) The value of is | (3) |
| (S) The value of is | (4) |
| (5) |
Options
- A(P) (5), (Q) (4), (R) (2), (S) (1)
- B(P) (4), (Q) (5), (R) (1), (S) (2)
- C(P) (5), (Q) (3), (R) (2), (S) (1)
- D(P) (5), (Q) (4), (R) (1), (S) (2)
Correct answer
A. (P) (5), (Q) (4), (R) (2), (S) (1)
Step-by-step solution
Since , is an orthogonal matrix.
The columns of an orthogonal matrix form an orthonormal basis for . The given vectors are exactly the columns of . Therefore, are mutually orthogonal unit vectors.
For (P): The rows of are also orthonormal. The third row is , so .
The third column is a unit vector, so .
Substituting into the row equation gives . Thus, (P) (5).
For (Q): Given . Taking the dot product with on both sides gives .
Since the vectors are orthonormal, and .
Thus, . From the definition of , the component is , so . Thus, (Q) (4).
For (R): The scalar triple product represents the determinant of the matrix formed by these column vectors, which is .
Since is orthogonal, . Thus, . Thus, (R) (2).
For (S): Using the vector triple product expansion, .
Since are mutually orthogonal, and .
Thus, , and its magnitude is . Thus, (S) (1).
Answer: (P) (5), (Q) (4), (R) (2), (S) (1)
The columns of an orthogonal matrix form an orthonormal basis for . The given vectors are exactly the columns of . Therefore, are mutually orthogonal unit vectors.
For (P): The rows of are also orthonormal. The third row is , so .
The third column is a unit vector, so .
Substituting into the row equation gives . Thus, (P) (5).
For (Q): Given . Taking the dot product with on both sides gives .
Since the vectors are orthonormal, and .
Thus, . From the definition of , the component is , so . Thus, (Q) (4).
For (R): The scalar triple product represents the determinant of the matrix formed by these column vectors, which is .
Since is orthogonal, . Thus, . Thus, (R) (2).
For (S): Using the vector triple product expansion, .
Since are mutually orthogonal, and .
Thus, , and its magnitude is . Thus, (S) (1).
Answer: (P) (5), (Q) (4), (R) (2), (S) (1)