Question
If A = \left[ {\matrix{ {\cos \theta } & {i\sin \theta } \cr {i\sin \theta } & {\cos \theta } \cr } } \right], and {A^5} = \left[ {\matrix{ a & b \cr c & d \cr } } \right], where then which one of the following is not true?
Options
Solution
1. Key Concept: De Moivre's Theorem for a Specific Matrix Form
This problem involves calculating powers of a special type of matrix. For a matrix of the form: Its -th power, , follows a pattern remarkably similar to De Moivre's Theorem for complex numbers. The theorem states: Why is this important? This formula allows us to directly compute any positive integer power of such a matrix by simply multiplying the angle by the power , avoiding tedious matrix multiplications. This is a significant shortcut for this specific matrix structure.
2. Applying the Theorem to Matrix A
We are given the matrix : And the angle . We need to find . Using the generalized De Moivre's Theorem for matrices with : Why this step? By recognizing the given matrix fits the specific form for which De Moivre's theorem applies, we can immediately write down the general form of .
3. Calculate the Angle
Substitute the given value of into : Why this step? This provides the specific angle required for the elements of .
4. Determine the Elements of
Now substitute into the expression for : We are given that {A^5} = \left[ {\matrix{ a & b \cr c & d \cr } } \right]. By comparing the elements, we get: Why this step? These are the explicit values of that we will use to evaluate the given options. Note that and are real, while and are purely imaginary (since ). Let for brevity in the following calculations. So, , , , .
5. Evaluate Each Option
We need to find which of the given statements is not true.
Option (A): Substitute the expressions for and : Recall that : Using the fundamental trigonometric identity : So, the statement is TRUE. Why this step? This is a direct application of the definitions of and the identity . It confirms that this statement holds true.
Option (B): Substitute the expressions for and : Using the double-angle identity : Now, calculate : So, . Since radians is equivalent to , which lies in the first quadrant (), the value of is positive and less than 1. Specifically, . Therefore, . So, the statement is TRUE. Why this step? This involves applying definitions, trigonometric identities (), and understanding the range of the cosine function for the calculated angle.
Option (C): Substitute the expressions for and : So, the statement is TRUE. Why this step? This directly follows from the fact that for this matrix form.
Option (D): Substitute the expressions for and : Using the fundamental trigonometric identity : So, our calculation shows . The given statement is . Since , the statement is NOT TRUE. Why this step? This calculation is identical to Option (A), leading to 1. Comparing this result with the proposed value of allows us to determine if the statement is true or false.
6. Conclusion
From our evaluation:
- Option (A) is TRUE.
- Option (B) is TRUE.
- Option (C) is TRUE.
- Option (D) is NOT TRUE.
The question asks for the statement that is not true. Therefore, option (D) is the correct answer based on these calculations.
Tips and Common Mistakes:
- Recognize the Matrix Form: The ability to identify the specific matrix form that allows for De Moivre's theorem is crucial. Don't apply it to just any matrix.
- Careful with : A very common mistake is to forget that , especially when squaring terms like . This can lead to errors, for example, mistaking for .
- Trigonometric Identities: Be proficient with fundamental identities like and double-angle formulas like .
- Angle Quadrants: When evaluating inequalities involving trigonometric functions (like in Option B), remember to consider the quadrant of the angle to determine the sign and range of the function.
Summary: This problem effectively tests your knowledge of De Moivre's Theorem as applied to a specific matrix, along with fundamental complex number properties () and trigonometric identities. The structured approach of first finding the elements of the matrix power and then systematically checking each option ensures accuracy.