Problem 33
Question
If \(a, b, c\) are positive and are the \(p^{\text {ll }}, q^{\text {Ht }}\) and \(r^{\text {th }}\) terms, respectively, of a G.P., then \(\Delta=\left|\begin{array}{lll}\log a & p & 1 \\ \log b & q & 1 \\ \log c & r & 1\end{array}\right|\) is a. 0 b. \(\log (a b c)\) c. \(-(p+q+r)\) d. none of these
Step-by-Step Solution
Verified Answer
The value of \(\Delta\) is 0, so the answer is (a) 0.
1Step 1: Understand the Given Problem
Identify the terms in the problem. We have that \(a, b, c\) are the \(p^{\text{th}}, q^{\text{th}}\), and \(r^{\text{th}}\) terms of a geometric progression (G.P.) respectively.
2Step 2: Express Terms in Mathematical Form
In a G.P., the \(n^{\text{th}}\) term is given by \(ar^{n-1}\). Hence, \(a = ar^{p-1}, b = ar^{q-1}, c = ar^{r-1}\). Simplifying gives \(a = a, b = ar^{q-p}, c = ar^{r-p}\).
3Step 3: Construct the Determinant
The determinant \(\Delta = \left| \begin{array}{ccc} \log a & p & 1 \ \log b & q & 1 \ \log c & r & 1 \end{array} \right|\). To compute this, use the cofactor expansion across the third column.
4Step 4: Compute the Cofactors
Cofactor expansion gives \(\Delta = \log a \cdot (q - r) - \log b \cdot (p - r) + \log c \cdot (p - q)\).
5Step 5: Substitute Logarithmic Expressions
Substitute the expressions \(\log a = \log a\), \(\log b = \log(ar^{q-p}) = \log a + (q-p)\log r\), \(\log c = \log(ar^{r-p}) = \log a + (r-p)\log r\) into the cofactor expansion.
6Step 6: Simplify the Expression
Using the expressions from Step 5, substitute them back into the determinant formula and simplify. It will result in terms cancelling out, yielding \(\Delta = 0\).
7Step 7: Conclusion
After substituting and simplifying the determinant using properties of logarithms and the terms of G.P., we find that \(\Delta = 0\). This matches option a.
Key Concepts
Geometric ProgressionCofactor ExpansionLogarithmic ExpressionsProperties of Determinants
Geometric Progression
Geometric Progression (G.P.) is a fascinating concept in mathematics, where each term after the first is found by multiplying the previous term by a fixed, non-zero number called the common ratio. Let's delve a bit deeper:
- The common ratio can be any real number, which may be greater than 1 (causing the sequence to grow) or between 0 and 1 (causing the sequence to shrink).
- The formula for the nth term of a G.P. is given as \( a_n = ar^{n-1} \), where \( a \) is the first term and \( r \) is the common ratio.
- In the exercise, \( a \), \( b \), and \( c \) are terms of a G.P., meaning each term is derived from multiplying the previous term by the same common ratio.
Cofactor Expansion
Cofactor expansion, also known as Laplace's expansion, is a method used to calculate the determinant of a matrix. The process involves breaking down a larger determinant into smaller, more manageable minors, making it a fundamental technique in linear algebra:
- Start by selecting a row or column from the matrix for expansion; typically, a row or column with the most zeros is chosen for simplicity.
- Each element of the selected row or column is then multiplied by the determinant of the minor matrix, which is formed by removing the row and column of the element in question.
- The elements are summed, with their respective signs determined by their position (alternating signs starting with a positive).
Logarithmic Expressions
Logarithmic expressions provide a powerful tool for simplifying complex algebraic calculations. A logarithm answers the question: "What power must a given base be raised to, to obtain this number?" Here's a closer look:
- The expression \( \log_b(x) \) reads as "the logarithm of \( x \) to base \( b \)," meaning the power to which \( b \) is raised to yield \( x \).
- Logarithms have various properties that transform products into sums and powers into products, thus simplifying multiplication and division.
- For example, \( \log(ar^{n}) = \log a + n \log r \), decomposing into more manageable parts.
Properties of Determinants
Determinants are mathematical objects that summarize certain properties of matrices, useful in solving systems of linear equations, among other applications. Here's why they are important:
- A determinant of a square matrix provides insight into the matrix's characteristics, such as solvability of corresponding linear systems and matrix invertibility.
- Properties like linearity with respect to rows and columns, and the effect of row swapping or multiplication, facilitate easier computation.
- An important property used in the exercise was that when a determinant has two identical rows (or columns), its value is zero.
Other exercises in this chapter
Problem 31
If \(a_{1} b_{1} c_{1}, a_{2} b_{2} c_{2}\) and \(a_{3} b_{3} c_{3}\) are 3 -digit even natural numbers and \(\Delta=\left|\begin{array}{lll}c_{1} & a_{1} \cdot
View solution Problem 32
The value of the determinant of \(n^{\text {lh }}\) order, being given by \(\left|\begin{array}{cccc}x & 1 & 1 & \cdots \\ 1 & x & 1 & \cdots \\ 1 & 1 & x & \cd
View solution Problem 34
If \(f(x)=\left|\begin{array}{ccc}m x & m x-p & m x+p \\ n & n+p & n-p \\ m x+2 n & m x+2 n+p & m x+2 n-p\end{array}\right|\), then \(y=f(x)\) represents a. a s
View solution Problem 35
If \(\left|\begin{array}{lll}x & 3 & 6 \\ 3 & 6 & x \\ 6 & x & 3\end{array}\right|=\left|\begin{array}{lll}2 & x & 7 \\ x & 7 & 2 \\ 7 & 2 & x\end{array}\right|
View solution