In number theory, it is often important to find factors of an integer \( N \). The number \( N \) has two trivial factors, namely 1 and \( N \). Any other factor, if it exists, is called a non-trivial factor of \( N \). Naresh has plotted a graph of some constraints (linear inequations) with points \( A(0, 50) \), \( B(20, 40) \), \( C(50, 100) \), \( D(0, 200) \), and \( E(100, 0) \). This graph is constructed using three non-trivial constraints and two trivial constraints. One of the non-trivial constraints is \( x + 2y \geq 100 \).
Based on the above information, answer the following questions:
Trivial constraints correspond to the boundaries of the graph in the first quadrant.
- Since the graph is in the first quadrant, \( x \geq 0 \) and \( y \geq 0 \) are the two trivial constraints.
Step 1: Given one non-trivial constraint is \( x + 2y \geq 100 \). From the graph:
- The line passing through \( A(0, 50) \) and \( E(100, 0) \) corresponds to \( x + 2y = 100 \).
- The line passing through \( B(20, 40) \) and \( C(50, 100) \) corresponds to \( y - \frac{4}{3}x + \frac{80}{3} \geq 0 \).
- The line passing through \( C(50, 100) \) and \( D(0, 200) \) corresponds to \( y - 2x \leq 0 \).
Final Answer: The other two non-trivial constraints are: \[ y - \frac{4}{3}x + \frac{80}{3} \geq 0 \quad {and} \quad y - 2x \leq 0. \]
For \( R_2 \), the region includes \( x + 2y \geq 100 \), \( x \geq 0 \), and \( y \geq 0 \), but excludes the constraints forming the region \( R_1 \). Based on the graph, the constraints are derived as: - \( x + 2y \geq 100 \), - \( y - \frac{4}{3}x + \frac{80}{3} \leq 0 \).
Final Answer: The constraints for \( R_2 \) are: \[ x + 2y \geq 100 \quad {and} \quad y - \frac{4}{3}x + \frac{80}{3} \leq 0. \]
To maximize a linear objective function:
1. Identify all vertices of the feasible region.
2. Substitute the coordinates of each vertex into the objective function.
3. Choose the highest value for maximization.
Step 1: The objective function \( z = 5x + 2y \) is maximized at one of the vertices of the feasible region \( R_1 \). The vertices of \( R_1 \) are \( A(0, 50) \), \( B(20, 40) \), and \( C(50, 100) \).
Step 2: Evaluate \( z \) at each vertex: - At \( A(0, 50) \): \[ z = 5(0) + 2(50) = 100. \] - At \( B(20, 40) \): \[ z = 5(20) + 2(40) = 100 + 80 = 180. \] - At \( C(50, 100) \): \[ z = 5(50) + 2(100) = 250 + 200 = 450. \]
Step 3: Conclusion: The maximum value of \( z = 5x + 2y \) is 450 at \( C(50, 100) \).
On her birthday, Prema decides to donate some money to children of an orphanage home.
If there are 8 children less, everyone gets ₹ 10 more. However, if there are 16 children more, everyone gets ₹ 10 less. Let the number of children in the orphanage home be \( x \) and the amount to be donated to each child be \( y \).
Based on the above information, answer the following questions:
Let \( X \) denote the number of hours a Class 12 student studies during a randomly selected school day. The probability that \( X \) can take the values \( x_i \), for an unknown constant \( k \):
\[ P(X = x_i) = \begin{cases} 0.1, & {if } x_i = 0, \\ kx_i, & {if } x_i = 1 { or } 2, \\ k(5 - x_i), & {if } x_i = 3 { or } 4. \end{cases} \]Find the effective rate which is equivalent to a normal rate of 10% p.a. compounded:
Given:
\[ (1.05)^2 = 1.1025, \quad (1.025)^4 = 1.1038. \]Fit a straight-line trend by the method of least squares for the following data:
\[ \begin{array}{|c|c|c|c|c|c|c|c|} \hline \textbf{Year} & 2004 & 2005 & 2006 & 2007 & 2008 & 2009 & 2010 \\ \hline \textbf{Profit (₹ 000)} & 114 & 130 & 126 & 144 & 138 & 156 & 164 \\ \hline \end{array} \]When observed over a long period of time, a time series data can predict trends that can forecast increase, decrease, or stagnation of a variable under consideration. The table below shows the sale of an item in a district during 1996–2001:
\[ \begin{array}{|c|c|c|c|c|c|c|} \hline \textbf{Year} & 1996 & 1997 & 1998 & 1999 & 2000 & 2001 \\ \hline \textbf{Sales (in lakh ₹)} & 6.5 & 5.3 & 4.3 & 6.1 & 5.6 & 7.8 \\ \hline \end{array} \]