Problem 18
Question
Let \(a, b, c \in \mathbf{R}\) be all non-zero and satisfy \(a^{3}+b^{3}+c^{3}=2 .\) If the matrix \(A=\left(\begin{array}{lll}a & b & c \\\ b & c & a \\ c & a & b\end{array}\right)\) satisfies \(A^{T} A=I\), then a value of \(a b c\) can be : [Sep. \(\mathbf{0 2}, \mathbf{2 0 2 0}\) (II)] (a) \(-\frac{1}{3}\) (b) \(\frac{1}{3}\) (c) 3 (d) \(\frac{2}{3}\)
Step-by-Step Solution
Verified Answer
The value of \(abc\) is \(\frac{2}{3}\).
1Step 1: Understand the Problem
We need to find a specific value for \(abc\) given certain conditions. The matrix \(A\) is orthogonal since \(A^T A = I\), and the cube sum equation gives us \(a^3 + b^3 + c^3 = 2\). We'll use both conditions to find an expression for \(abc\).
2Step 2: Utilize Orthogonality of the Matrix
Since \(A^T A = I\), the rows of \(A\) are orthonormal. This implies their dot products with each other give 0. Calculate the dot products of different pairs of rows of \(A\) and set them equal to 0.
3Step 3: Explore Dot Products
Compute the dot products: 1. First and second rows: \(ab + bc + ca = 0\).2. First and third rows: \(ac + ab + bc = 0\).3. Second and third rows: \(bc + ac + ab = 0\).These conditions are consistent with each other and simplify to \(ab + bc + ca = 0\).
4Step 4: Analyze Given Expression
From the given expression \(a^3 + b^3 + c^3 = 2\), and knowing that \(ab + bc + ca = 0\), we can use the identity \[a^3 + b^3 + c^3 - 3abc = (a+b+c)(a^2 + b^2 + c^2 - ab - bc - ca)\] which simplifies to \(a^3 + b^3 + c^3 = 3abc\) under the conditions given because \(ab + bc + ca = 0\).
5Step 5: Substitute Values and Solve
From Step 4, we have \(a^3 + b^3 + c^3 = 3abc = 2\). Thus, \(abc = \frac{2}{3}\).
6Step 6: Verify Solutions against Choices
Among the given options, \(abc = \frac{2}{3}\) corresponds with option (d).
Key Concepts
Dot ProductOrthogonal MatrixCubic Equation
Dot Product
The dot product, also known as the scalar product, is an important operation in vector mathematics. It is defined for two vectors of equal dimensions and results in a scalar quantity. If we have vectors \( \mathbf{u} \) and \( \mathbf{v} \), the dot product is given by:\[ \mathbf{u} \cdot \mathbf{v} = u_1v_1 + u_2v_2 + \cdots + u_n v_n \]In simpler terms, you multiply the corresponding pairs of vector elements and sum them all up.In this exercise, the dot product is utilized to show the orthogonality of the rows in matrix \( A \). Given that \( A^T A = I \), where \( I \) is the identity matrix, it implies the rows of the matrix are orthonormal.
- The dot product between different pairs of rows, such as the first and second rows, should result in zero: \( ab + bc + ca = 0 \).
- This concept is fundamental in obtaining the values required by the problem, thereby highlighting the importance of dot products in verifying orthogonality.
Orthogonal Matrix
An orthogonal matrix is a square matrix whose rows and columns are orthogonal unit vectors. This means that the matrix satisfies the condition \( A^T A = I \), where \( I \) is the identity matrix.
Orthogonal matrices are integral in various mathematical computations due to:
Orthogonal matrices are integral in various mathematical computations due to:
- Their property of conserving the length of vectors after transformation.
- Being easily invertible, with the inverse equal to the transpose, \( A^{-1} = A^T \).
Cubic Equation
A cubic equation is a polynomial equation of degree three. It typically takes the form:\[ ax^3 + bx^2 + cx + d = 0 \]Cubic equations can have one real root and two complex conjugate roots, or three real roots. They involve more complexity than quadratic equations due to:
- The fact that their solutions cannot be found using a simple general formula like the quadratic formula.
- Requiring more elaborate algebraic methods or numerical solutions.
Other exercises in this chapter
Problem 16
If \(A=\left[\begin{array}{ll}1 & 0 \\ 1 & 1\end{array}\right]\) and \(I=\left[\begin{array}{ll}1 & 0 \\ 0 & 1\end{array}\right]\), then which one of the follow
View solution Problem 17
If \(A=\left[\begin{array}{ll}a & b \\ b & a\end{array}\right]\) and \(A^{2}=\left[\begin{array}{ll}\alpha & \beta \\ \beta & \alpha\end{array}\right]\), then [
View solution Problem 19
The number of all \(3 \times 3\) matrices \(A\), with enteries from the set \(\\{-1,0,1\\}\) such that the sum of the diagonal elements of \(A A^{T}\) is 3, is
View solution Problem 20
If \(\mathrm{A}=\left(\begin{array}{ll}2 & 2 \\ 9 & 4\end{array}\right)\) and \(\mathrm{I}=\left(\begin{array}{ll}1 & 0 \\ 0 & 1\end{array}\right)\), then \(10
View solution