1. **Problem Statement:**
Given the joint density function $$f(x,y) = xy^2 + \frac{x^2}{8}$$ for $$0 \leq x \leq 2$$ and $$0 \leq y \leq 1$$, find the probabilities:
- $$P(X > 1)$$
- $$P\left(Y < \frac{1}{2}\right)$$
- $$P\left(X > 1 \mid Y < \frac{1}{2}\right)$$
- $$P(X + Y \leq 1)$$
2. **Check if $$f(x,y)$$ is a valid joint density:**
We verify $$\int_0^2 \int_0^1 f(x,y) \, dy \, dx = 1$$.
Calculate:
$$\int_0^2 \int_0^1 \left(xy^2 + \frac{x^2}{8}\right) dy \, dx = \int_0^2 \left[ x \int_0^1 y^2 dy + \frac{x^2}{8} \int_0^1 dy \right] dx$$
Evaluate inner integrals:
$$\int_0^1 y^2 dy = \frac{1}{3}, \quad \int_0^1 dy = 1$$
So:
$$\int_0^2 \left( x \cdot \frac{1}{3} + \frac{x^2}{8} \cdot 1 \right) dx = \int_0^2 \left( \frac{x}{3} + \frac{x^2}{8} \right) dx$$
Integrate:
$$\int_0^2 \frac{x}{3} dx = \frac{1}{3} \cdot \frac{x^2}{2} \Big|_0^2 = \frac{1}{3} \cdot 2 = \frac{2}{3}$$
$$\int_0^2 \frac{x^2}{8} dx = \frac{1}{8} \cdot \frac{x^3}{3} \Big|_0^2 = \frac{1}{8} \cdot \frac{8}{3} = \frac{1}{3}$$
Sum:
$$\frac{2}{3} + \frac{1}{3} = 1$$
So $$f(x,y)$$ is a valid joint density.
3. **Find $$P(X > 1)$$:**
$$P(X > 1) = \int_1^2 \int_0^1 f(x,y) \, dy \, dx = \int_1^2 \int_0^1 \left(xy^2 + \frac{x^2}{8}\right) dy \, dx$$
Inner integral:
$$\int_0^1 y^2 dy = \frac{1}{3}, \quad \int_0^1 dy = 1$$
So:
$$\int_1^2 \left( x \cdot \frac{1}{3} + \frac{x^2}{8} \right) dx = \int_1^2 \left( \frac{x}{3} + \frac{x^2}{8} \right) dx$$
Integrate:
$$\int_1^2 \frac{x}{3} dx = \frac{1}{3} \cdot \frac{x^2}{2} \Big|_1^2 = \frac{1}{6} (4 - 1) = \frac{3}{6} = \frac{1}{2}$$
$$\int_1^2 \frac{x^2}{8} dx = \frac{1}{8} \cdot \frac{x^3}{3} \Big|_1^2 = \frac{1}{24} (8 - 1) = \frac{7}{24}$$
Sum:
$$P(X > 1) = \frac{1}{2} + \frac{7}{24} = \frac{12}{24} + \frac{7}{24} = \frac{19}{24}$$
4. **Find $$P\left(Y < \frac{1}{2}\right)$$:**
$$P\left(Y < \frac{1}{2}\right) = \int_0^2 \int_0^{1/2} f(x,y) \, dy \, dx = \int_0^2 \int_0^{1/2} \left(xy^2 + \frac{x^2}{8}\right) dy \, dx$$
Inner integrals:
$$\int_0^{1/2} y^2 dy = \frac{(1/2)^3}{3} = \frac{1}{24}$$
$$\int_0^{1/2} dy = \frac{1}{2}$$
So:
$$\int_0^2 \left( x \cdot \frac{1}{24} + \frac{x^2}{8} \cdot \frac{1}{2} \right) dx = \int_0^2 \left( \frac{x}{24} + \frac{x^2}{16} \right) dx$$
Integrate:
$$\int_0^2 \frac{x}{24} dx = \frac{1}{24} \cdot \frac{x^2}{2} \Big|_0^2 = \frac{1}{24} \cdot 2 = \frac{1}{12}$$
$$\int_0^2 \frac{x^2}{16} dx = \frac{1}{16} \cdot \frac{x^3}{3} \Big|_0^2 = \frac{1}{16} \cdot \frac{8}{3} = \frac{1}{6}$$
Sum:
$$P\left(Y < \frac{1}{2}\right) = \frac{1}{12} + \frac{1}{6} = \frac{1}{12} + \frac{2}{12} = \frac{3}{12} = \frac{1}{4}$$
5. **Find $$P\left(X > 1 \mid Y < \frac{1}{2}\right)$$:**
By definition:
$$P\left(X > 1 \mid Y < \frac{1}{2}\right) = \frac{P\left(X > 1, Y < \frac{1}{2}\right)}{P\left(Y < \frac{1}{2}\right)}$$
Calculate numerator:
$$P\left(X > 1, Y < \frac{1}{2}\right) = \int_1^2 \int_0^{1/2} f(x,y) \, dy \, dx = \int_1^2 \int_0^{1/2} \left(xy^2 + \frac{x^2}{8}\right) dy \, dx$$
Inner integrals same as before:
$$\int_0^{1/2} y^2 dy = \frac{1}{24}, \quad \int_0^{1/2} dy = \frac{1}{2}$$
So:
$$\int_1^2 \left( x \cdot \frac{1}{24} + \frac{x^2}{8} \cdot \frac{1}{2} \right) dx = \int_1^2 \left( \frac{x}{24} + \frac{x^2}{16} \right) dx$$
Integrate:
$$\int_1^2 \frac{x}{24} dx = \frac{1}{24} \cdot \frac{x^2}{2} \Big|_1^2 = \frac{1}{48} (4 - 1) = \frac{3}{48} = \frac{1}{16}$$
$$\int_1^2 \frac{x^2}{16} dx = \frac{1}{16} \cdot \frac{x^3}{3} \Big|_1^2 = \frac{1}{16} \cdot \frac{7}{3} = \frac{7}{48}$$
Sum numerator:
$$\frac{1}{16} + \frac{7}{48} = \frac{3}{48} + \frac{7}{48} = \frac{10}{48} = \frac{5}{24}$$
Divide by denominator $$P\left(Y < \frac{1}{2}\right) = \frac{1}{4}$$:
$$P\left(X > 1 \mid Y < \frac{1}{2}\right) = \frac{5/24}{1/4} = \frac{5}{24} \times \frac{4}{1} = \frac{20}{24} = \frac{5}{6}$$
6. **Find $$P(X + Y \leq 1)$$:**
Region: $$0 \leq x \leq 2$$, $$0 \leq y \leq 1$$, but restricted to $$x + y \leq 1$$.
Rewrite:
$$y \leq 1 - x$$
Limits for $$x$$: from 0 to 1 (since $$x \leq 1$$ to keep $$y \geq 0$$).
So:
$$P(X + Y \leq 1) = \int_0^1 \int_0^{1-x} \left(xy^2 + \frac{x^2}{8}\right) dy \, dx$$
Inner integral:
$$\int_0^{1-x} y^2 dy = \frac{(1-x)^3}{3}$$
$$\int_0^{1-x} dy = 1 - x$$
So:
$$\int_0^1 \left( x \cdot \frac{(1-x)^3}{3} + \frac{x^2}{8} (1-x) \right) dx = \int_0^1 \left( \frac{x(1-x)^3}{3} + \frac{x^2(1-x)}{8} \right) dx$$
Expand terms:
$$\frac{x(1-x)^3}{3} = \frac{x(1 - 3x + 3x^2 - x^3)}{3} = \frac{x - 3x^2 + 3x^3 - x^4}{3}$$
$$\frac{x^2(1-x)}{8} = \frac{x^2 - x^3}{8}$$
Sum integrand:
$$\frac{x - 3x^2 + 3x^3 - x^4}{3} + \frac{x^2 - x^3}{8}$$
Find common denominator 24:
$$\frac{8x - 24x^2 + 24x^3 - 8x^4}{24} + \frac{3x^2 - 3x^3}{24} = \frac{8x - 24x^2 + 24x^3 - 8x^4 + 3x^2 - 3x^3}{24}$$
Combine like terms:
$$8x + (-24x^2 + 3x^2) + (24x^3 - 3x^3) - 8x^4 = 8x - 21x^2 + 21x^3 - 8x^4$$
Integral:
$$\int_0^1 \frac{8x - 21x^2 + 21x^3 - 8x^4}{24} dx = \frac{1}{24} \int_0^1 (8x - 21x^2 + 21x^3 - 8x^4) dx$$
Integrate term by term:
$$\int_0^1 8x dx = 4$$
$$\int_0^1 -21x^2 dx = -7$$
$$\int_0^1 21x^3 dx = \frac{21}{4} = 5.25$$
$$\int_0^1 -8x^4 dx = -\frac{8}{5} = -1.6$$
Sum:
$$4 - 7 + 5.25 - 1.6 = (4 - 7) + (5.25 - 1.6) = -3 + 3.65 = 0.65$$
Multiply by $$\frac{1}{24}$$:
$$P(X + Y \leq 1) = \frac{0.65}{24} = \frac{13}{480}$$
**Final answers:**
- $$P(X > 1) = \frac{19}{24}$$
- $$P\left(Y < \frac{1}{2}\right) = \frac{1}{4}$$
- $$P\left(X > 1 \mid Y < \frac{1}{2}\right) = \frac{5}{6}$$
- $$P(X + Y \leq 1) = \frac{13}{480}$$
Joint Density Probabilities E0D5D5
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