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(6) Does the function \[ f(x, y)=\left\{\begin{array}{ll}\frac{x y}{\sqrt{x^{2}+y^{2}}} & \text { if }(x, y) \neq(0,0) \\ 0 & \text { if }(x, y)=(0,0) \\ \text { have partial derivatives on } \mathbb{R}^{2} \text { ? } \\ \text { (7) Consider the equation } x^{4}+x^{3} y^{2}-y+y^{2}+y^{3}=1 \text {. Use implicit differentiation } \\ \text { to find }\left.\frac{d y}{d x}\right|_{(-1,1)}\end{array}\right. \]

Ask by Barber Ray. in South Africa
Mar 17,2025

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The function \( f(x, y) \) has partial derivatives everywhere in \(\mathbb{R}^2\). At the point \((-1, 1)\), the derivative \(\frac{dy}{dx}\) is \(\frac{1}{2}\).

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**(6) Partial Derivatives of \( f(x,y) \) on \(\mathbb{R}^2\)** The function is given by \[ f(x,y)= \begin{cases} \frac{xy}{\sqrt{x^2+y^2}}, & (x,y)\neq (0,0), \\[1mm] 0, & (x,y)=(0,0). \end{cases} \] For \((x,y) \neq (0,0)\), the function is composed of elementary functions (polynomials and the square root) that are differentiable where the denominator \(\sqrt{x^2+y^2}\) is nonzero. At the origin \((0,0)\), we check the existence of the partial derivatives using their definition. * To compute the partial derivative with respect to \(x\) at \((0,0)\), \[ f_x(0,0)=\lim_{h\to0} \frac{f(h,0)-f(0,0)}{h}. \] For \(h\neq0\), \[ f(h,0)=\frac{h\cdot 0}{\sqrt{h^2+0}}=0. \] Thus, \[ f_x(0,0)=\lim_{h\to0} \frac{0-0}{h}=0. \] * Similarly, the partial derivative with respect to \(y\) at \((0,0)\) is \[ f_y(0,0)=\lim_{h\to0} \frac{f(0,h)-f(0,0)}{h}. \] For \(h\neq0\), \[ f(0,h)=\frac{0\cdot h}{\sqrt{0+h^2}}=0. \] Thus, \[ f_y(0,0)=\lim_{h\to0} \frac{0-0}{h}=0. \] Therefore, \( f \) has partial derivatives at every point in \(\mathbb{R}^2\), including the origin. --- **(7) Implicit Differentiation** We are given the equation \[ x^4 + x^3y^2 - y + y^2 + y^3 = 1. \] Differentiate both sides with respect to \(x\), remembering that \(y\) is a function of \(x\): 1. Differentiate \( x^4 \): \[ \frac{d}{dx}(x^4)= 4x^3. \] 2. Differentiate \( x^3 y^2 \) using the product rule: \[ \frac{d}{dx}(x^3y^2)= 3x^2y^2 + x^3\cdot 2y\,y' = 3x^2y^2 + 2x^3y\,y'. \] 3. Differentiate \(-y\): \[ \frac{d}{dx}(-y)= -y'. \] 4. Differentiate \( y^2 \) using the chain rule: \[ \frac{d}{dx}(y^2)= 2y\,y'. \] 5. Differentiate \( y^3 \): \[ \frac{d}{dx}(y^3)= 3y^2\,y'. \] Differentiating the right–hand side (which is constant \( 1 \)): \[ \frac{d}{dx}(1)= 0. \] Now, putting it all together, we have: \[ 4x^3 + 3x^2y^2 + 2x^3y\,y' - y' + 2y\,y' + 3y^2\,y' = 0. \] Collect the terms with \(y'\): \[ 4x^3 + 3x^2y^2 + y'\left(2x^3y - 1 + 2y + 3y^2 \right)= 0. \] Isolate \(y'\): \[ y'\left(2x^3y - 1 + 2y + 3y^2 \right) = -\left(4x^3 + 3x^2y^2\right), \] \[ y' = -\frac{4x^3+3x^2y^2}{2x^3y - 1 + 2y + 3y^2}. \] We now evaluate at \((x,y)=(-1,1)\). First, compute the numerator: - \(x^3 = (-1)^3 = -1\) - Thus, \(4x^3 = 4(-1)= -4\). - Also, \(x^2 = (-1)^2= 1\) and \(y^2= 1\), so \(3x^2y^2 = 3(1)(1)= 3\). So, \[ 4x^3+3x^2y^2 = -4+3 = -1. \] Taking the negative, \[ -\left(4x^3+3x^2y^2\right) = -(-1) = 1. \] Next, compute the denominator: \[ 2x^3y - 1 + 2y + 3y^2. \] We already have \(x^3= -1\) and \(y=1\), so: \[ 2(-1)(1)= -2. \] Also, \(2y = 2\) and \(3y^2 = 3\). Therefore, \[ -2 - 1 + 2 + 3 = 2. \] Thus, \[ y' = \frac{1}{2}. \] --- **Final Answers:** - The function \( f(x,y) \) has partial derivatives at every point in \(\mathbb{R}^{2}\). - At \((-1, 1)\), the derivative \(\frac{dy}{dx}\) is \(\frac{1}{2}\).

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The function you provided is interesting because it requires us to assess the behavior around the critical point of \((0,0)\). To check if the partial derivatives exist at this point, we can analyze the limit definitions directly. At points other than the origin, we can calculate partial derivatives using standard rules, but at \((0,0)\), we look at the definition of partial derivatives based on limits. You’ll find that the partial derivatives exist and are continuous everywhere in \(\mathbb{R}^2\). Now, about the implicit differentiation problem given, if \(F(x,y) = x^{4} + x^{3}y^{2} - y + y^{2} + y^{3} - 1 = 0\), you'll need to differentiate both sides with respect to \(x\). Remember to apply the chain rule to \(y\) as it is a function of \(x\). Once you have \(F_x\) and \(F_y\), you can solve for \(\frac{dy}{dx}\) and then substitute the point \((-1,1)\) to find the slope at that specific point. Good luck with the calculations!

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