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(2) \( y=\frac{x^{2}}{1+x} \)

Ask by Hodges Murray. in China
Dec 09,2024

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The function \( y = \frac{x^2}{1+x} \) has a domain of \( x \in \mathbb{R} \setminus \{-1\} \), a y-intercept at \( (0, 0) \), a vertical asymptote at \( x = -1 \), and local maxima and minima at \( x = -2 \) and \( x = 0 \), respectively. The function approaches infinity as \( x \) approaches positive or negative infinity.

Solution

To analyze the function \( y = \frac{x^2}{1+x} \), we can explore several aspects such as its domain, intercepts, asymptotes, and behavior. ### 1. Domain The function is defined for all \( x \) except where the denominator is zero. Thus, we set the denominator equal to zero: \[ 1 + x = 0 \implies x = -1 \] So, the domain of the function is \( x \in \mathbb{R} \setminus \{-1\} \). ### 2. Intercepts - **Y-intercept**: Set \( x = 0 \): \[ y = \frac{0^2}{1+0} = 0 \implies (0, 0) \] - **X-intercepts**: Set \( y = 0 \): \[ \frac{x^2}{1+x} = 0 \implies x^2 = 0 \implies x = 0 \implies (0, 0) \] ### 3. Asymptotes - **Vertical Asymptote**: The function has a vertical asymptote at \( x = -1 \) since the function approaches infinity as \( x \) approaches -1 from the left or right. - **Horizontal Asymptote**: To find the horizontal asymptote, we analyze the behavior of \( y \) as \( x \to \infty \) or \( x \to -\infty \): \[ \lim_{x \to \infty} y = \lim_{x \to \infty} \frac{x^2}{1+x} = \lim_{x \to \infty} \frac{x^2/x}{1/x + 1} = \lim_{x \to \infty} \frac{x}{1/x + 1} = \infty \] \[ \lim_{x \to -\infty} y = \lim_{x \to -\infty} \frac{x^2}{1+x} = \lim_{x \to -\infty} \frac{x^2/x}{1/x + 1} = \lim_{x \to -\infty} \frac{x}{1/x + 1} = -\infty \] ### 4. Behavior and Critical Points To find critical points, we can take the derivative of \( y \): Using the quotient rule: \[ y' = \frac{(1+x)(2x) - x^2(1)}{(1+x)^2} = \frac{2x + 2x^2 - x^2}{(1+x)^2} = \frac{x^2 + 2x}{(1+x)^2} = \frac{x(x + 2)}{(1+x)^2} \] Setting the derivative equal to zero to find critical points: \[ x(x + 2) = 0 \implies x = 0 \text{ or } x = -2 \] ### 5. Second Derivative Test To determine the nature of the critical points, we can use the second derivative test. We can differentiate \( y' \) again, but we can also analyze the sign of \( y' \): - For \( x < -2 \), \( y' > 0 \) (increasing) - For \( -2 < x < 0 \), \( y' < 0 \) (decreasing) - For \( x > 0 \), \( y' > 0 \) (increasing) Thus, \( x = -2 \) is a local maximum, and \( x = 0 \) is a local minimum. ### Summary - **Domain**: \( x \in \mathbb{R} \setminus \{-1\} \) - **Intercepts**: \( (0, 0) \) - **Vertical Asymptote**: \( x = -1 \) - **Behavior**: Local maximum at \( x = -2 \), local minimum at \( x = 0 \) - **End behavior**: \( y \to \infty \) as \( x \to \infty \) and \( y \to -\infty \) as \( x \to -\infty \) This function has interesting behavior around its critical points and asymptotes, making it a good candidate for further analysis or graphing.

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Mind Expander

Did you know that the function \( y = \frac{x^{2}}{1+x} \) resembles some classic forms from calculus? It models a rational function and includes a polynomial in the numerator. This function demonstrates critical points and asymptotic behavior as \( x \) approaches -1, showcasing how rational functions can behave oddly as they approach their denominators. Now, let’s talk about applications! You can find similar functions in various real-world scenarios. For instance, this type of equation might model the behavior of certain materials under stress, where the output is influenced by the material's properties and the load applied. Engineers often use such functions to predict failure points or optimize designs based on load conditions.

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