Calculus 10th Edition

Published by Brooks Cole
ISBN 10: 1-28505-709-0
ISBN 13: 978-1-28505-709-5

Chapter 15 - Vector Analysis - 15.1 Exercises - Page 1049: 36

Answer

$$\mathbf{F} \ \text {is conservative}$$ $$f(x, y)= e^{x^{2} y} +C $$

Work Step by Step

Given $$\mathbf{F}(x, y)=x e^{x^{2} y}(2 y \mathbf{i}+x \mathbf{j})=2 xy e^{x^{2} y} \mathbf{i}+ x^2 e^{x^{2} y} \mathbf{j})$$ Since \begin{align}\mathbf{F}(x,y)&=M \mathbf{i}+N\mathbf{j}\end{align} we get \begin{array}{l} {M=2 xy e^{x^{2} y} } \\ {N= x^2 e^{x^{2} y} } \end{array} this implies that $M$ and $N$ have continuous first partial derivatives . As, we have \begin{array}{l} {\begin{align} \frac{\partial M}{\partial y}&=2 x e^{x^{2} y}+ 2x^3 ye^{x^{2} y} \end{align}} \\ {\begin{aligned} \frac{\partial N}{\partial x}&=2 x e^{x^{2} y}+ 2x^3 ye^{x^{2} y} \end{aligned}} \\ \end{array} So, we get $$ \frac{\partial N}{\partial x}= \frac{\partial M}{\partial y}$$ and this implies that $\mathbf{F}$ is conservative. By definition, If a vector field $\mathbf{F}$ is conservative, then there exists a function $f$, such that \begin{align} {\qquad \mathbf{F}(x,y)=\nabla f(x,y)=f_{x}(x,y) \mathbf{i}+f_{y}(x,y) \mathbf{j}} \end{align} so, we get \begin{array}{l} { f_{x}(x, y)=2 xy e^{x^{2} y} \ \ \ \ \mathbf{\rightarrow (1)}} \\ { f_{y}(x, y)= x^2 e^{x^{2} y} \ \ \ \mathbf{\rightarrow (2)}} \\ \end{array} ${\text { Integrate both sides of Eq.(1) with respect to } x}\\{ \text { assuming } y \text { as constant, so we get }} $ \begin{array}{l} { f(x,y)= \int f_{x}(x, y) dx= e^{x^{2} y} +g(y) \mathbf{\rightarrow (3)}} \end{array} ${\text { Partially differentiate } Eq.(3) \text { with respect to } y, \text { To get }}$ $$ f_{y}(x, y)= x^2 e^{x^{2} y} +g^{\prime}(y) \mathbf{\rightarrow (4)}$$ Compare $Eq.(4)$ with $Eq.(2)$, To get \begin{array}{l} {\qquad g^{\prime}(y)=0} \\ { \Rightarrow \ \ \ g(y)=C} \end{array} Substitute this in $Eq.(3)$, we get $$f(x, y)= e^{x^{2} y} +C $$
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