B and C are independent random variables from the unit interval [0, 1] with the uniform density.
Let \(x\) and \(y\) represent the independent random variables \(B\) and \(C\) respectively from the unit interval \([0, 1]\) with the uniform density.
Let’s represent \(y\) in terms of \(x\).
\(x+y<\frac{1}{2}\)
\(y=\frac{1}{2}-x\) in the interval \([0, 1]\)
The graph of this function is a triangle as shown above. In order to find the probability, we need to get the area of the shaded region. The base of the triangle is \(\frac{1}{2}\) and the height of the triangle is \(\frac{1}{2}\):
Area of shaded region = \(\frac{1}{2}\) X base X height = \(\frac{1}{2}\)X\(\frac{1}{2}\)X\(\frac{1}{2}\) = \(\frac{1}{8}\)
Therefore, \(P\bigg(B+C < 1/2\bigg) = \frac{1}{8}\)
Let’s represent \(y\) in terms of \(x\).
\(xy<\frac{1}{2}\)
\(y<\frac{1}{2x}\) in the interval \([0, 1]\)
The graph of this function is as shown above. In order to find the probability, we need to get the area of the shaded region. This is a combination of the rectangle \(ABFG\) and the area of region \(BCDFIB\) under the curve.
Area of the shaded region = Area of rectangle \(ABFG\) + Area of region \(BCDFIB\) under the curve
Area of the shaded region = (\(\frac{1}{2}\)X\(1\)) + (\(\int_{0.5}^{1}\frac{1}{2x}dx\)) = \(0.5 + 0.3465 = 0.8465\)
Therefore, \(P\bigg(BC < 1/2\bigg) = 0.8465\)
\(\begin{aligned} \left|x-y\right|<\frac{1}{2} \end{aligned}\) in the interval \([0, 1]\)
The graph of this function is as shown above. In order to find the probability, we need to get the area of the shaded region. This is a combination of the 2 rectangles (\(ABGF\) and \(GCDE\)) and 2 triangles (\(FGE\) and \(BGC\))
Area of the shaded region = Area of rectangle \(ABGF\) + Area of rectangle \(GCDE\) + Area of triangle \(GFE\) + Area of triangle \(BGC\)
Area of the shaded region = (\(\frac{1}{2}\) X \(\frac{1}{2}\)) + (\(\frac{1}{2}\) X \(\frac{1}{2}\)) + (\(\frac{1}{2}\) X \(\frac{1}{2}\) X \(\frac{1}{2}\)) + (\(\frac{1}{2}\) X \(\frac{1}{2}\) X \(\frac{1}{2})\) = \(\frac{3}{4}\)
Therefore, \(\begin{aligned}P\bigg(\left|B-C\right|<\frac{1}{2} \bigg) = \frac{3}{4}\end{aligned}\)
\(\begin{aligned} max(x,y)<\frac{1}{2} \end{aligned}\) in the interval \([0, 1]\)
The graph of this function is as shown above. In order to find the probability, we need to get the area of the shaded region. This is the area of the rectangles \(ABCD\).
Area of the shaded region = Area of rectangle \(ABCD\)
Area of the shaded region = \(\frac{1}{2}\) X \(\frac{1}{2}\) = \(\frac{1}{4}\)
Therefore, \(\begin{aligned}P\bigg(max\{B, C\}<\frac{1}{2} \bigg) = \frac{1}{4}\end{aligned}\)
\(\begin{aligned} min(x,y)<\frac{1}{2} \end{aligned}\) in the interval \([0, 1]\)
The graph of this function is as shown above. In order to find the probability, we need to get the area of the shaded region. This is the combination of the area of the rectangles \(ABCG\) and the area of the square \(GDEF\).
Area of the shaded region = Area of rectangle \(ABCG\) + Area of the square \(GDEF\)
Area of the shaded region = (\(\frac{1}{2}\) X \(1\)) + (\(\frac{1}{2}\) X \(\frac{1}{2}\)) = (\(\frac{1}{2}\)) + (\(\frac{1}{4}\)) = \(\frac{3}{4}\)
Therefore, \(\begin{aligned}P\bigg(min\{B, C\}<\frac{1}{2} \bigg) = \frac{3}{4}\end{aligned}\)