Question
Let a, b, c R be all non-zero and satisfy a 3 + b 3 + c 3 = 2. If the matrix A = \left( {\matrix{ a & b & c \cr b & c & a \cr c & a & b \cr } } \right) satisfies A T A = I, then a value of abc can be :
Options
Solution
This problem elegantly combines concepts from Matrices and Algebraic Identities. We will leverage the properties of orthogonal matrices and fundamental algebraic identities to establish relationships between and , ultimately solving for .
Key Concepts Used
- Orthogonal Matrix: A square matrix is called an orthogonal matrix if its transpose is equal to its inverse, i.e., , where is the identity matrix. A crucial property of orthogonal matrices is that their row vectors (and column vectors) form an orthonormal set. This means:
- The dot product of any row vector with itself is 1 (unit vectors).
- The dot product of any two distinct row vectors is 0 (mutually orthogonal).
- Algebraic Identities: We will extensively use two fundamental identities for three variables :
- The square of a sum:
- The sum of cubes identity:
Step-by-Step Solution
We are given that are non-zero, and . We are also given the matrix satisfies .
Step 1: Utilize the condition to find relationships between
The condition implies that is an orthogonal matrix. Let's perform the matrix multiplication.
First, find the transpose of : (Notice that in this specific case, is a symmetric matrix, so ).
Now, compute : Performing the multiplication, we calculate each element:
- The (1,1) element is .
- The (1,2) element is .
- The (1,3) element is .
- The (2,1) element is .
- And so on for all elements.
Simplifying the elements, we get:
We are given that , where is the identity matrix:
Equating the corresponding elements of the matrices:
- From the diagonal elements, we must have:
- From the off-diagonal elements, we must have:
Explanation: This step is crucial because the matrix condition directly provides us with two fundamental algebraic relationships between and . These relationships are essential for simplifying expressions in subsequent steps.
Step 2: Determine the value of
We use the algebraic identity for the square of a sum:
Now, substitute the values we found from Equation 1 and Equation 2 into this identity:
Taking the square root of both sides, we get:
Explanation: We calculate because it is a common factor in the sum of cubes identity, which we will use in the next step to involve and .
Step 3: Apply the sum of cubes identity to find
We are given . We need to find a value for . The algebraic identity that connects these terms, along with , , and , is: Substitute :
Now, substitute the values we found in Step 1 and Step 2, along with the given condition :
- (given)
- (from Equation 1)
- (from Equation 2)
- (from Equation 3)
Plugging these into the identity:
This gives us two possible cases:
Case 1:
Case 2:
Explanation: This identity is the key to solving the problem, as it directly links the given sum of cubes () with the product () and the other expressions we derived from the matrix condition.
Final Answer
From our derivations, a value of can be either or . Looking at the given options: (A) 3 (B) (C) - (D)
One of the derived values, , matches option (B).
The final answer is
Tips and Common Mistakes to Avoid
- Careful Matrix Multiplication: Ensure accurate calculation of . A small error here will propagate through the entire solution.
- Recognize Orthogonal Matrix Properties: The condition is very powerful. It immediately tells you that the rows (and columns) are orthonormal, leading to the equations and .
- Correct Algebraic Identities: Memorize or correctly recall the fundamental algebraic identities for sums and cubes of three variables. They are indispensable for problems like this.
- Consider Both Positive and Negative Roots: When solving , remember to consider both and . Both possibilities need to be followed through.
- The Determinant of A: While not used in this specific solution path, for this type of matrix , its determinant squared equals 1 (). This means . This can be a useful check or an alternative approach in related problems.
Summary/Key Takeaway
This problem demonstrates how seemingly disparate topics like matrices and algebraic identities can be intricately linked. The condition of an orthogonal matrix provides critical algebraic relationships, which are then combined with a given sum of cubes and fundamental identities to solve for the product of the variables. The key steps involve:
- Extracting and from .
- Using these to find .
- Applying the sum of cubes identity to solve for .