0
452views
Verify Green's Theorem for \(\int_c \overline{F} \cdot \overline {dr}\) where \( \overline {F}= (x^2 - y^2)\widehat {i} + (x+y)\widehat{j}\) and C is the triangle with vertices (0,0), (1,1) and (2,1).
1 Answer
0
0views

$\overline {F}= (x^2 - y^2)\widehat {i} + (x+y)\widehat{j} \ dr = dx \widehat {i}+dy \widehat {j} $ $\ F.dr = (x^2-y^2)dx +(x+y)dy \ Let, \: P=x^2-y^2 , \: Q =x+y $ $\ \dfrac{\partial P}{\partial y} = -2y, \quad \dfrac{\partial Q}{\partial x} = 1 \ \text{Green's Theorem,} $ $\int_c Pdx+Qdy =\iint_R\left (\dfrac{\partial Q}{\partial x}-\dfrac{\partial P}{\partial y}\right )dxdy \Now, \iint_R\left (\dfrac{\partial Q}{\partial x}-\dfrac{\partial P}{\partial y}\right )dxdy $ ![](data:image/png;base64,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) $ \ =\iint_R (1+2y)dxdy \ \text{The region : x =2y to x=y, y=0 to y =1} $ $\ = \int \limits_0^1\int \limits_{2y}^{y}(1+2y)dxdy

\ = \int \limits_0^1 (1+2y) \int \limits_{2y}^{y}dxdy $ $\ =\int \limits_0^1 (1+2y) [x]_{2y}^{y}dy \ =\int \limits_0^1 [(1+2y) \times (y-2y) ]dy $ $\ =-\int \limits_0^1 (y+2y^2)d \=- [\dfrac{y^2}{2}+2\dfrac{y^3}{3}]_0^1 $ $\ =-\dfrac{1}{2}-\dfrac{2}{3} -0 \ = -\dfrac{7}{6} ...(A)$ $\text{1. Along path x=y, dx =dy, y =0 to 1} \ \int \limits_0^1Pdx + Qdy $ $\ = \int \limits_0^1(x^2-y^2)dx +(x+y) dy \ =\int \limits_0^1(y^2-y^2)dy +(y+y)dy ....as \:x =y $ $\ = \int\limits_0^1 2ydy \ = [y^2]_0^1 = [1-0] \= 1$ $\text{2. Along path y=1, dy = 0, x =1 to 2} \ \int \limits_1^2 Pdx $ $\ =\int \limits_1^2(x^2-y^2)dx

\ =\int \limits_1^2(x^2-1)dx ...as \: y =1 $ $= [\dfrac{x^3}{3}-x]_1^2 = [\dfrac{8}{3}-2-\dfrac{1}{3}+1] = [\dfrac{7}{3}-1] \ = \dfrac{4}{3}$ $\text{3. Along path x=2y, dx =2dy, y =1 to 0} \ \int \limits_1^0Pdx + Qdy $ $\ = \int \limits_1^0(x^2-y^2)dx +(x+y) dy \ =\int \limits_1^0(4y^2-y^2)2dy +(2y+y)dy ....as \:x =2y $ $\ =\int \limits_1^0[6y^2 +3y ]dy \= [6\dfrac{y^3}{3}+3\dfrac{y^2}{2}]_1^0 $ $\ =[0-2-\dfrac{3}{2}]

\ = \dfrac{-7}{2}$ $\text{Adding the result from all 3 paths,} $ $\int_c Pdx+Qdy \ = 1+\dfrac{4}{3}-\dfrac{7}{2} \ = \dfrac{-7}{6} ....(B)$ $\text{From (A) and (B),} \ \bbox[3pt, yellow]{\int_c Pdx+Qdy =\iint_R\left (\dfrac{\partial Q}{\partial x}-\dfrac{\partial P}{\partial y}\right )dxdy }\ \text{hence, Green's Theorem is verified.}$

Please log in to add an answer.