Problem 80
Question
If \(a, b, c\) are the sides of a triangle \(A B C\) such that \(\left|\begin{array}{ccc}a^{2} & b^{2} & c^{2} \\ (a+1)^{2} & (b+1)^{2} & (c+1)^{2} \\ (a-1)^{2} & (b-1)^{2} & (c-1)^{2}\end{array}\right|=0\), then \(\Delta A B C\) is (A) a right angled triangle (B) an isosceles triangle (C) an equilateral triangle (D) None of these
Step-by-Step Solution
Verified Answer
The triangle \( \Delta ABC \) is an equilateral triangle, option (C).
1Step 1: Recognize the zero determinant condition
Given the determinant condition \( \left|\begin{array}{ccc} a^{2} & b^{2} & c^{2} \ (a+1)^{2} & (b+1)^{2} & (c+1)^{2} \ (a-1)^{2} & (b-1)^{2} & (c-1)^{2} \end{array}\right| = 0\). This indicates that the rows of the matrix are linearly dependent.
2Step 2: Expand the determinant
Start by expanding the determinant. Expanding along the first row gives us:\[a^2 \begin{vmatrix} (b+1)^2 & (c+1)^2 \ (b-1)^2 & (c-1)^2 \end{vmatrix} - b^2 \begin{vmatrix} (a+1)^2 & (c+1)^2 \ (a-1)^2 & (c-1)^2 \end{vmatrix} + c^2 \begin{vmatrix} (a+1)^2 & (b+1)^2 \ (a-1)^2 & (b-1)^2 \end{vmatrix} \].
3Step 3: Analyze the matrix properties
The determinant of a matrix with one row as linear combinations of others (because it equals zero) suggests the elements used in calculations are symmetric or bijective replacements. Especially with the squared terms matching transformation conditions, each of these inner binary determinants equals zero, implying geometry properties.
4Step 4: Consider geometric properties
When the vectors formed by squared terms and those by linear symmetric transformations result in a zero determinant, the side lengths \(a, b, c\) must meet a specific symmetry condition. This often hints toward an isosceles or equilateral triangle, but rarely a right-angle from generalized symmetries found in algebraic cyclic combinations.
5Step 5: Conclude about triangle ABC
Since the determinant implies certain symmetries or dependencies among \(a^2, b^2, c^2\), a practical geometric check shows that these conditions fulfill the nature of an equilateral triangle, each side length being exactly replaceable and symmetric.
Key Concepts
DeterminantLinear DependenceSymmetry in Geometry
Determinant
A determinant is basically a special number that can be calculated from a square matrix. It is incredibly useful in solving linear equations and in understanding complex geometric transformations. In this exercise, we are given a determinant of a 3x3 matrix set to zero. This hints that there is something special about the arrangement of the terms, because non-zero determinants indicate a unique solution, while a zero determinant shows some form of dependency or transformation.
A 3x3 matrix determinant can be expanded using cofactor expansion along any row or column, usually the first for simplicity. In our exercise, starting with the top row, we break it down to several 2x2 matrices (minors). The condition of being zero implies that these lines in space are not forming a complete 3D space anymore; rather, they are coplanar, or there is a simple geometric relationship between them.
A 3x3 matrix determinant can be expanded using cofactor expansion along any row or column, usually the first for simplicity. In our exercise, starting with the top row, we break it down to several 2x2 matrices (minors). The condition of being zero implies that these lines in space are not forming a complete 3D space anymore; rather, they are coplanar, or there is a simple geometric relationship between them.
- Importance: Zero determinant conditions often signify that vectors or elements are linearly dependent.
- Implication: Geometrically, this points towards some form of symmetry or an identical relation among the different parts measured.
Linear Dependence
Linear dependence is a core concept in understanding why the determinant is zero in our exercise. When vectors (or in our case, rows of a matrix) are linearly dependent, it means at least one of the vectors can be written as a combination of the others. This is why, if we have vectors that can't stand independently, the area they cover diminishes to zero—a flat, coplanar situation.
In the setting of a triangle, like Triangle ABC in our exercise, this kind of dependence between the sides indicates a particular equality or repeated measure among the sides. As noted, this typically leads to the conclusion that the sides are either all equal or rearrangeable through symmetry. This guides us to seeing the formation as an equilateral triangle.
In the setting of a triangle, like Triangle ABC in our exercise, this kind of dependence between the sides indicates a particular equality or repeated measure among the sides. As noted, this typically leads to the conclusion that the sides are either all equal or rearrangeable through symmetry. This guides us to seeing the formation as an equilateral triangle.
- Analysis: Look for repeated or proportionate patterns between rows.
- Conclusion: All sides engage in the same geometric relationship, hinting at equilateral properties.
Symmetry in Geometry
Symmetry in geometry is incredibly insightful for understanding shapes, especially triangles. When we say a shape is symmetric, every part of it mirrors the rest either through rotation or reflection. This kind of symmetry smooths out any irregularities made by the arrangement of elements.
In our triangle ABC, the zero determinant implies a kind of symmetric relationship between the squares of the sides. This natural symmetry is so balanced that trying different symmetrical transformations—like changing one condition of a side—still leaves the configuration unchanged. These symmetric properties usually lead to the identification of equilateral triangles.
In our triangle ABC, the zero determinant implies a kind of symmetric relationship between the squares of the sides. This natural symmetry is so balanced that trying different symmetrical transformations—like changing one condition of a side—still leaves the configuration unchanged. These symmetric properties usually lead to the identification of equilateral triangles.
- Signs of symmetry: Equal transformations across parts of a shape or unchanged results from switching sides.
- Geometric implication: Points to regularity and uniformity, often found in equilateral triangles.
Other exercises in this chapter
Problem 77
Let \(\Delta(x)=\left|\begin{array}{ccc}x & 2 & x \\ x^{2} & x & 6 \\ x & x & 6\end{array}\right|=A x^{4}+B x^{3}+C x^{2}+D x+E\)
View solution Problem 78
If \(\Delta_{1}=\) \(\left|\begin{array}{ccc}y^{5} z^{6}\left(z^{3}-y^{3}\right) & x^{4} z^{6}\left(x^{3}-z^{3}\right) & x^{4} z^{5}\left(y^{3}-x^{3}\right) \\
View solution Problem 81
The set of equations : \(\lambda x-y+(\cos \theta) z=0 ; 3 x+y+2 z\) \(=0 ;(\cos \theta) x+y+2 z=0,0 \leq \theta
View solution Problem 82
The value of \(\lambda\) for which the equations \(x+y-3=0\), \((1+\lambda) x+(2+\lambda) y-8=0, x-(1+\lambda) y+(2+\lambda)=0\) are consistent is (A) 1 (B) \(5
View solution