To find the possible combinations of books (x) and magazines (y) that the bookstore can order based on the given inequalities, we need to solve the system of inequalities:
- Cost Constraint: \( 15x + 5y \leq 1000 \)
- Space Constraint: \( 2x + y \leq 50 \)
We can start by rewriting each inequality in a more helpful form:
1. Cost Constraint
\[ 15x + 5y \leq 1000 \] Dividing the entire inequality by 5: \[ 3x + y \leq 200 \] This can be rewritten as: \[ y \leq 200 - 3x \]
2. Space Constraint
\[ 2x + y \leq 50 \] This can be rewritten as: \[ y \leq 50 - 2x \]
Finding Intersection Points
Now we have two equations to find their intersection points:
- \( y = 200 - 3x \)
- \( y = 50 - 2x \)
Setting them equal to find the intersection: \[ 200 - 3x = 50 - 2x \]
Solving for \( x \): \[ 200 - 50 = 3x - 2x \] \[ 150 = x \]
Substituting \( x = 150 \) into one of the equations to find \( y \): Using \( y = 50 - 2x \): \[ y = 50 - 2(150) \] \[ y = 50 - 300 \] \[ y = -250 \] (which is not feasible, as we cannot have negative magazines).
Hence, these lines don't intersect within a feasible region. Now we need to check the boundaries:
Boundary Values of x and y
-
From the cost constraint \( 15x + 5y = 1000 \):
- If \( x = 0 \): \[ 5y = 1000 \Rightarrow y = 200 \]
- If \( y = 0 \): \[ 15x = 1000 \Rightarrow x = \frac{1000}{15} \approx 66.67 \] (not a whole number)
-
From the space constraint \( 2x + y = 50 \):
- If \( x = 0 \): \[ y = 50 \]
- If \( y = 0 \): \[ 2x = 50 \Rightarrow x = 25 \]
Finding Feasible Region Vertices
Now we can use the maximum feasible points calculated from the inequalities.
- \( (0, 50) \) - Only magazines
- \( (25, 0) \) - Only books
Check Capabilities with Input Values
With the values calculated and the constraints verified:
- At \( (0, 50) \): \( 15(0) + 5(50) = 250 \) (meets the cost)
- At \( (25, 0) \): \( 15(25) + 5(0) = 375 \) (meets the cost)
Conclusion
The bookstore can order:
- Up to 50 magazines (0 books),
- Up to 25 books (0 magazines).
However, combinations can be derived (like \( (20, 10) \), \( (10, 25) \) etc.) by solving the constraints but must always adhere to \( 15x + 5y \leq 1000 \) and \( 2x + y \leq 50 \).
Possible Combination
So, feasible combinations can be any values (whole numbers) in this feasible range satisfying both inequalities:
For example:
- If \( x = 10 \): \( 15(10) + 5y \leq 1000 \Rightarrow y \leq 100 \), and \( 2(10) + y \leq 50 \Rightarrow y \leq 30 \). So, maximum \( y = 30 \).
- You can evaluate other combinations like that within your constraints!
To summarize, keep in mind that the solutions must lie within grid lines defined by those equations' intersections.