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If z is a complex number lying in the fi...

If z is a complex number lying in the first quadrant such that `"Re"(z)+"Im"(z)=3`, then the maximum value of `"{Re"(z)}^(2)"Im"(z)`, is

A

1

B

2

C

3

D

4

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The correct Answer is:
To solve the problem, we need to find the maximum value of the expression \( P = (\text{Re}(z))^2 \cdot \text{Im}(z) \) given that \( \text{Re}(z) + \text{Im}(z) = 3 \) and that \( z \) lies in the first quadrant. Let's denote: - \( \text{Re}(z) = x \) - \( \text{Im}(z) = y \) From the condition given, we have: \[ x + y = 3 \] This implies: \[ y = 3 - x \] Now, we can substitute \( y \) into the expression for \( P \): \[ P = x^2 \cdot y = x^2 \cdot (3 - x) \] This simplifies to: \[ P = 3x^2 - x^3 \] Next, we need to find the maximum value of \( P \). To do this, we will differentiate \( P \) with respect to \( x \) and set the derivative equal to zero: \[ \frac{dP}{dx} = \frac{d}{dx}(3x^2 - x^3) = 6x - 3x^2 \] Setting the derivative equal to zero: \[ 6x - 3x^2 = 0 \] Factoring out \( 3x \): \[ 3x(2 - x) = 0 \] This gives us two critical points: \[ x = 0 \quad \text{or} \quad x = 2 \] Next, we need to determine which of these points gives a maximum value. We will check the second derivative: \[ \frac{d^2P}{dx^2} = 6 - 6x \] Now we evaluate the second derivative at our critical points: 1. For \( x = 0 \): \[ \frac{d^2P}{dx^2} = 6 - 6(0) = 6 \quad (\text{positive, indicating a minimum}) \] 2. For \( x = 2 \): \[ \frac{d^2P}{dx^2} = 6 - 6(2) = 6 - 12 = -6 \quad (\text{negative, indicating a maximum}) \] Since \( x = 2 \) gives a maximum, we now find the value of \( P \) at this point: \[ y = 3 - x = 3 - 2 = 1 \] Thus, \[ P = (2)^2 \cdot (1) = 4 \] Therefore, the maximum value of \( P \) is: \[ \boxed{4} \]

To solve the problem, we need to find the maximum value of the expression \( P = (\text{Re}(z))^2 \cdot \text{Im}(z) \) given that \( \text{Re}(z) + \text{Im}(z) = 3 \) and that \( z \) lies in the first quadrant. Let's denote: - \( \text{Re}(z) = x \) - \( \text{Im}(z) = y \) From the condition given, we have: \[ ...
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