Linear Programming 5Ddb9F
1. **Problem Statement:**
Maximize profit $P = x + 2y$ subject to constraints:
$$x + y \leq 5$$
$$2 + 3y \leq 12$$
$$x, y \geq 0$$
2. **Formulas and Rules:**
Linear programming problems maximize or minimize a linear objective function subject to linear inequalities.
The feasible region is the intersection of all constraints.
The maximum or minimum occurs at vertices (corner points) of the feasible region.
3. **Rewrite constraints:**
From $2 + 3y \leq 12$, subtract 2:
$$3y \leq 10 \implies y \leq \frac{10}{3} \approx 3.33$$
4. **Find intersection points of constraints:**
- Intersection of $x + y = 5$ and $y = \frac{10}{3}$:
$$x + \frac{10}{3} = 5 \implies x = 5 - \frac{10}{3} = \frac{15}{3} - \frac{10}{3} = \frac{5}{3} \approx 1.67$$
- Intersection of $x + y = 5$ and $x=0$:
$$0 + y = 5 \implies y=5$$ but $y \leq \frac{10}{3}$ so max $y$ is $3.33$ here.
- Intersection of $y = \frac{10}{3}$ and $x=0$:
$$x=0, y=3.33$$
5. **Vertices of feasible region:**
- $(0,0)$ from $x,y \geq 0$
- $(0, \frac{10}{3})$
- $(\frac{5}{3}, \frac{10}{3})$
- $(5,0)$ from $x + y = 5$ and $y=0$
6. **Evaluate profit $P = x + 2y$ at vertices:**
- At $(0,0)$: $P=0 + 2\times0=0$
- At $(0, \frac{10}{3})$: $P=0 + 2 \times \frac{10}{3} = \frac{20}{3} \approx 6.67$
- At $(\frac{5}{3}, \frac{10}{3})$: $P= \frac{5}{3} + 2 \times \frac{10}{3} = \frac{5}{3} + \frac{20}{3} = \frac{25}{3} \approx 8.33$
- At $(5,0)$: $P=5 + 0 = 5$
7. **Maximum profit:**
Occurs at $(\frac{5}{3}, \frac{10}{3})$ with $P = \frac{25}{3} \approx 8.33$
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**Summary:**
- Feasible region is bounded by $x + y \leq 5$, $y \leq \frac{10}{3}$, and $x,y \geq 0$.
- Maximum profit is approximately 8.33 at $x=1.67$, $y=3.33$.