Question #52628

1)verify that the vector fields are conservation by conparing cross derivatives,then potential functions for the, by taking anti-derivatives
A)f=(z,1,x)
B)f=(y^(2),2xy+e^(z)+ye^(z))
C)f=(cosz,2y,-xsinz)

Expert's answer

Answer on Question #52628 - Math - Vector Calculus

1) Verify that the vector fields are conservation by comparing cross derivatives, then potential functions for the, by taking anti-derivatives

A) f=(z,1,x)f = (z, 1, x)

B) f=(y2,2xy+ez,yez)f = (y^{2}, 2xy + e^{z}, ye^{z})

C) f=(cosz,2y,xsinz)f = (\cos z, 2y, -x \sin z)

Solution

Curl is given by


×f=ijkxyzfxfyfz=[fzyfyz]i+[fxzfzx]j+[fyxfxy]k\nabla \times f = \left| \begin{array}{ccc} \vec {i} & \vec {j} & \vec {k} \\ \frac {\partial}{\partial x} & \frac {\partial}{\partial y} & \frac {\partial}{\partial z} \\ f _ {x} & f _ {y} & f _ {z} \end{array} \right| = \left[ \frac {\partial f _ {z}}{\partial y} - \frac {\partial f _ {y}}{\partial z} \right] \vec {i} + \left[ \frac {\partial f _ {x}}{\partial z} - \frac {\partial f _ {z}}{\partial x} \right] \vec {j} + \left[ \frac {\partial f _ {y}}{\partial x} - \frac {\partial f _ {x}}{\partial y} \right] \vec {k}


A) Since


×f=ijkxyzz1x=[xy1z]i+[zzxx]j+[1xzy]k==[00]i+[11]j+[00]k=0,\begin{array}{l} \nabla \times f = \left| \begin{array}{ccc} \vec {i} & \vec {j} & \vec {k} \\ \frac {\partial}{\partial x} & \frac {\partial}{\partial y} & \frac {\partial}{\partial z} \\ z & 1 & x \end{array} \right| = \left[ \frac {\partial x}{\partial y} - \frac {\partial 1}{\partial z} \right] \vec {i} + \left[ \frac {\partial z}{\partial z} - \frac {\partial x}{\partial x} \right] \vec {j} + \left[ \frac {\partial 1}{\partial x} - \frac {\partial z}{\partial y} \right] \vec {k} = \\ = [ 0 - 0 ] \vec {i} + [ 1 - 1 ] \vec {j} + [ 0 - 0 ] \vec {k} = \vec {0}, \end{array}


the vector field ff is conservative. It's easy to verify (f=V)(f = \nabla V) that its potential function is given by

V=xz+y+CV = xz + y + C (where CC is an arbitrary real constant), because


V=((xz+y+C)x;(xz+y+C)y;(xz+y+C)z)=(z,1,x).\nabla V = \left(\frac {\partial (x z + y + C)}{\partial x}; \frac {\partial (x z + y + C)}{\partial y}; \frac {\partial (x z + y + C)}{\partial z}\right) = (z, 1, x).


To find function VV, solve the following system


Vx=fx,Vy=fy,Vz=fz; that is,\frac {\partial V}{\partial x} = f _ {x}, \frac {\partial V}{\partial y} = f _ {y}, \frac {\partial V}{\partial z} = f _ {z}; \text{ that is,}Vx=z,Vy=1,Vz=x;\frac {\partial V}{\partial x} = z, \frac {\partial V}{\partial y} = 1, \frac {\partial V}{\partial z} = x;


For Vx=z\frac{\partial V}{\partial x} = z integrate both sides with respect to xx and obtain V=zx+g(y,z)V = zx + g(y,z). Taking the partial derivative of the both sides with respect to yy obtain


Vy=y(zx+g(y,z))=g(y,z)y.\frac {\partial V}{\partial y} = \frac {\partial}{\partial y} (z x + g (y, z)) = \frac {\partial g (y , z)}{\partial y}.


On the other hand, taking into account the system, Vy=1\frac{\partial V}{\partial y} = 1.

Equating right-hand sides of two formulas gives g(y,z)y=1\frac{\partial g(y,z)}{\partial y} = 1 .

Integrating both sides with respect to yy obtain g(y,z)=y+C(z)g(y,z) = y + C(z) , hence


V=zx+g(y,z)=zx+y+C(z).V = z x + g (y, z) = z x + y + C (z).


Taking the partial derivative of the both sides with respect to zz obtain


Vz=z(zx+y+C(z))=x+C(z).\frac {\partial V}{\partial z} = \frac {\partial}{\partial z} (z x + y + C (z)) = x + C ^ {\prime} (z).


On the other hand, taking into account the system, Vz=x\frac{\partial V}{\partial z} = x

Equating right-hand sides of two formulas gives x+C(z)=xx + C'(z) = x , hence C(z)=0C'(z) = 0 , integrating with respect to zz gives C(z)=CC(z) = C , where CC is an arbitrary real constant.

Thus, V=zx+g(y,z)=zx+y+C(z)=zx+y+CV = zx + g(y,z) = zx + y + C(z) = zx + y + C .

B) Since


×f=ijkxyzy22xy+ezyez==[(yez)y(2xy+ez)z]i+[(y2)z(yez)x]j+[(2xy+ez)x(y2)y]k=[ezez]i+[00]j+[2y2y]k=0\begin{array}{l} \nabla \times f = \left| \begin{array}{c c c} \vec {i} & \vec {j} & \vec {k} \\ \frac {\partial}{\partial x} & \frac {\partial}{\partial y} & \frac {\partial}{\partial z} \\ y ^ {2} & 2 x y + e ^ {z} & y e ^ {z} \end{array} \right| = \\ = \left[ \frac {\partial (y e ^ {z})}{\partial y} - \frac {\partial (2 x y + e ^ {z})}{\partial z} \right] \vec {i} + \left[ \frac {\partial (y ^ {2})}{\partial z} - \frac {\partial (y e ^ {z})}{\partial x} \right] \vec {j} \\ + \left[ \frac {\partial (2 x y + e ^ {z})}{\partial x} - \frac {\partial (y ^ {2})}{\partial y} \right] \vec {k} \\ = [ e ^ {z} - e ^ {z} ] \vec {i} + [ 0 - 0 ] \vec {j} + [ 2 y - 2 y ] \vec {k} = \vec {0} \\ \end{array}


the vector field ff is conservative. It's easy to verify (f=V)(f = \nabla V) that its potential function is given by

V=xy2+yez+CV = xy^{2} + ye^{z} + C (where CC is an arbitrary real constant),

because


V=((xy2+yez+C)x;(xy2+yez+C)y;(xy2+yez+C)z)=(y2,ez,yez).\nabla V = \left(\frac {\partial (x y ^ {2} + y e ^ {z} + C)}{\partial x}; \frac {\partial (x y ^ {2} + y e ^ {z} + C)}{\partial y}; \frac {\partial (x y ^ {2} + y e ^ {z} + C)}{\partial z}\right) = (y ^ {2}, e ^ {z}, y e ^ {z}).


To find function VV , solve the following system

Vx=fx,Vy=fy,Vz=fz\frac{\partial V}{\partial x} = f_x, \frac{\partial V}{\partial y} = f_y, \frac{\partial V}{\partial z} = f_z ; that is,


Vx=y2,Vy=2xy+ez,Vz=yez;\frac {\partial V}{\partial x} = y ^ {2}, \frac {\partial V}{\partial y} = 2 x y + e ^ {z}, \frac {\partial V}{\partial z} = y e ^ {z};


For Vx=y2\frac{\partial V}{\partial x} = y^2 integrate both sides with respect to xx and obtain V=xy2+g(y,z)V = xy^2 + g(y, z) . Taking the partial derivative of the both sides with respect to yy obtain


Vy=y(xy2+g(y,z))=2xy+g(y,z)y.\frac {\partial V}{\partial y} = \frac {\partial}{\partial y} (x y ^ {2} + g (y, z)) = 2 x y + \frac {\partial g (y , z)}{\partial y}.


On the other hand, taking into account the system, Vy=2xy+ez\frac{\partial V}{\partial y} = 2xy + e^z

Equating right-hand sides of two formulas gives g(y,z)y=ez\frac{\partial g(y,z)}{\partial y} = e^z .

Integrating both sides with respect to yy obtain g(y,z)=yez+C(z)g(y,z) = ye^{z} + C(z) , hence


V=xy2+g(y,z)=xy2+yez+C(z).V = x y ^ {2} + g (y, z) = x y ^ {2} + y e ^ {z} + C (z).


Taking the partial derivative of the both sides with respect to zz obtain


Vz=z(xy2+yez+C(z))=yez+C(z).\frac {\partial V}{\partial z} = \frac {\partial}{\partial z} (x y ^ {2} + y e ^ {z} + C (z)) = y e ^ {z} + C ^ {\prime} (z).


On the other hand, taking into account the system, Vz=yez\frac{\partial V}{\partial z} = ye^z .

Equating right-hand sides of two formulas gives yez+C(z)=yezye^{z} + C^{\prime}(z) = ye^{z} , hence C(z)=0C^{\prime}(z) = 0 , integrating with respect to zz gives C(z)=CC(z) = C , where CC is an arbitrary real constant.

Thus, V=xy2+g(y,z)=xy2+yez+C(z)=xy2+yez+CV = xy^{2} + g(y,z) = xy^{2} + ye^{z} + C(z) = xy^{2} + ye^{z} + C

C) Since


×f=ijkxyzcosz2yxsinz==[(xsinz)y(2y)z]i+[(cosz)z(xsinz)x]j+[(2y)x(cosz)y]k=[00]i+[sinz(sinz)]j+[00]k=0,\begin{array}{l} \nabla \times f = \left| \begin{array}{c c c} \vec {i} & \vec {j} & \vec {k} \\ \frac {\partial}{\partial x} & \frac {\partial}{\partial y} & \frac {\partial}{\partial z} \\ \cos z & 2 y & - x \sin z \end{array} \right| = \\ = \left[ \frac {\partial (- x \sin z)}{\partial y} - \frac {\partial (2 y)}{\partial z} \right] \vec {i} + \left[ \frac {\partial (\cos z)}{\partial z} - \frac {\partial (- x \sin z)}{\partial x} \right] \vec {j} \\ + \left[ \frac {\partial (2 y)}{\partial x} - \frac {\partial (\cos z)}{\partial y} \right] \vec {k} \\ = [ 0 - 0 ] \vec {i} + [ - \sin z - (- \sin z) ] \vec {j} + [ 0 - 0 ] \vec {k} = \vec {0}, \\ \end{array}


the vector field ff is conservative. It's easy to verify (f=V)(f = \nabla V) that its potential function is given by

V=y2+xcosz+CV = y^{2} + x\cos z + C (where CC is an arbitrary real constant), because


V=((y2+xcosz+C)x;(y2+xcosz+C)y;(y2+xcosz+C)z)=(cosz,2y,xsinz).\nabla V = \left(\frac {\partial (y ^ {2} + x \cos z + C)}{\partial x}; \frac {\partial (y ^ {2} + x \cos z + C)}{\partial y}; \frac {\partial (y ^ {2} + x \cos z + C)}{\partial z}\right) = (\cos z, 2 y, - x \sin z).


To find function VV, solve the following system


Vx=fx,Vy=fy,Vz=fz; that is,\frac {\partial V}{\partial x} = f _ {x}, \frac {\partial V}{\partial y} = f _ {y}, \frac {\partial V}{\partial z} = f _ {z}; \text{ that is,}Vx=cosz,Vy=2y,Vz=xsinz;\frac {\partial V}{\partial x} = \cos z, \frac {\partial V}{\partial y} = 2 y, \frac {\partial V}{\partial z} = - x \sin z;


For Vx=cosz\frac{\partial V}{\partial x} = \cos z integrate both sides with respect to xx and obtain V=xcosz+g(y,z)V = x\cos z + g(y,z). Taking the partial derivative of the both sides with respect to yy obtain


Vy=y(xcosz+g(y,z))=g(y,z)y.\frac {\partial V}{\partial y} = \frac {\partial}{\partial y} (x \cos z + g (y, z)) = \frac {\partial g (y , z)}{\partial y}.


On the other hand, taking into account the system, Vy=2y\frac{\partial V}{\partial y} = 2y.

Equating right-hand sides of two formulas gives g(y,z)y=2y\frac{\partial g(y,z)}{\partial y} = 2y.

Integrating both sides with respect to yy obtain g(y,z)=y2+C(z)g(y,z) = y^{2} + C(z), hence


V=xcosz+g(y,z)=xcosz+y2+C(z).V = x \cos z + g (y, z) = x \cos z + y ^ {2} + C (z).


Taking the partial derivative of the both sides with respect to zz obtain


Vz=z(xcosz+y2+C(z))=xsinz+C(z).\frac {\partial V}{\partial z} = \frac {\partial}{\partial z} (x \cos z + y ^ {2} + C (z)) = - x \sin z + C ^ {\prime} (z).


On the other hand, taking into account the system, Vz=xsinz\frac{\partial V}{\partial z} = -x\sin z.

Equating right-hand sides of two formulas gives xsinz+C(z)=xsinz-x\sin z + C'(z) = -x\sin z, hence C(z)=0C'(z) = 0, integrating with respect to zz gives C(z)=CC(z) = C, where CC is an arbitrary real constant.

Thus, V=xcosz+g(y,z)=xcosz+y2+C(z)=xcosz+y2+CV = x\cos z + g(y,z) = x\cos z + y^{2} + C(z) = x\cos z + y^{2} + C

Answer:

A) xz+y+Cxz + y + C

B) xy2+yez+Cxy^{2} + ye^{z} + C

C) xcosz+y2+Cx\cos z + y^2 + C

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