Calculus 3 : Applications of Partial Derivatives

Study concepts, example questions & explanations for Calculus 3

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Example Questions

Example Question #41 : Applications Of Partial Derivatives

Calculate \displaystyle R = \vec{\bigtriangledown } \cdot \vec{f} given \displaystyle \vec{f}= (x+3y)\hat{x}+(x^2+\sqrt{z})\hat{y}+(xy\sqrt{z})\hat{z}

Possible Answers:

\displaystyle R = 1 \hat{x} +\frac{xy}{2\sqrt{z}} \hat{z}

\displaystyle R = 1 +\frac{xy}{2\sqrt{z}}

\displaystyle R = 1 +\frac{xy}{\sqrt{z}}

\displaystyle R = \frac{xy}{2\sqrt{z}}

Correct answer:

\displaystyle R = 1 +\frac{xy}{2\sqrt{z}}

Explanation:

By definition, 

\displaystyle \vec{\bigtriangledown } \cdot \vec{f} = \frac{\partial f_x}{\partial x}+\frac{\partial f_y}{\partial y}+\frac{\partial f_z}{\partial z}, where \displaystyle f_x, f_y, f_z are the respective \displaystyle x,y,z components of \displaystyle \vec{f}.

Therefore, we need to calculate the above terms, shown as

\displaystyle \begin{align*} \frac{\partial f_x}{\partial x}&=1 \\ \frac{\partial f_y}{\partial y}&= 0\\ \frac{\partial f_z}{\partial z}&= \frac{xy}{2\sqrt{z}} \end{align*}

Therefore,

\displaystyle R = 1 +\frac{xy}{2\sqrt{z}}.

Example Question #12 : Gradient Vector, Tangent Planes, And Normal Lines

Find \displaystyle \nabla f, where \displaystyle f(x,y,z)=xzy+\tan(xz)

Possible Answers:

\displaystyle \left \langle yz+sec^2(xz), xz, xy+sec^2(xz)\right \rangle

\displaystyle \left \langle yz+z\sec(xz), xz, xy+x\sec(xz)\right \rangle

\displaystyle \left \langle yz+z\sec^2(xz), xz, xy+x\sec^2(xz)\right \rangle

\displaystyle \left \langle yz+z\sec^2(xz), 0, xy+x\sec^2(xz)\right \rangle

Correct answer:

\displaystyle \left \langle yz+z\sec^2(xz), xz, xy+x\sec^2(xz)\right \rangle

Explanation:

The gradient vector of f, \displaystyle \nabla f, is equal to \displaystyle \left \langle f_x, f_y, f_z\right \rangle

So, we must find the partial derivatives of the function with respect to x, y, and z, keeping the other variables constant for each partial derivative:

\displaystyle f_x=yz+z\sec^2(xz)

\displaystyle f_y=xz

\displaystyle f_z=xy+x\sec^2(xz)

The derivatives were found using the following rules:

\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} ax=a\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} x^n=nx^{n-1}\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} f(g(x))=f'(g(x))\cdot g'(x)\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} \tan(x)=\sec^2(x)

Plugging this in to a vector, we get

\displaystyle \left \langle yz+z\sec^2(xz), xz, xy+x\sec^2(xz)\right \rangle

Example Question #11 : Gradient Vector, Tangent Planes, And Normal Lines

Find \displaystyle \nabla f, where f is the following function:

\displaystyle f(x, y,z)=z^2+e^z\cos(xy)+xyz

 

Possible Answers:

\displaystyle (-x-y)(e^z\sin(xy)+yz e^z\sin(xy))+xz 2z+e^z\cos(xy)+xy

\displaystyle \left \langle -ye^z\sin(xy), -xe^z\sin(xy), 2z+e^z\cos(xy) \right \rangle

\displaystyle \left \langle ye^z\sin(xy)+yz, xe^z\sin(xy)+xz, 2z+e^z\cos(xy)+xy \right \rangle

\displaystyle \left \langle -ye^z\sin(xy)+yz, -xe^z\sin(xy)+xz, 2z+e^z\cos(xy)+xy \right \rangle

Correct answer:

\displaystyle \left \langle -ye^z\sin(xy)+yz, -xe^z\sin(xy)+xz, 2z+e^z\cos(xy)+xy \right \rangle

Explanation:

The gradient of a function is given by

\displaystyle \nabla f= \left \langle f_x, f_y, f_z \right \rangle

To find the given partial derivative of the function, we must treat the other variable(s) as constants.

Now, we find the partial derivatives:

\displaystyle f_x=-ye^z\sin(xy)+yz

\displaystyle f_y=-xe^z\sin(xy)+xz

\displaystyle f_z=2z+e^z\cos(xy)+xy

The derivatives were found using the following rules:

\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} f(x)g(x)=f'(x)g(x)+f(x)g'(x), \displaystyle \frac{\mathrm{d} }{\mathrm{d} x} ax=a, \displaystyle \frac{\mathrm{d} }{\mathrm{d} x} e^u=e^u\frac{\mathrm{d} u}{\mathrm{d} x}, \displaystyle \frac{\mathrm{d} }{\mathrm{d} x} \cos(x)=-\sin(x)

Example Question #41 : Applications Of Partial Derivatives

Find \displaystyle f_{yxz} of the following function:

\displaystyle f(x, y, z)=xy^2z^2-z\tan(x)

Possible Answers:

\displaystyle 4yz-\sec^2(x)

\displaystyle 4yz

\displaystyle 2xyz^2

\displaystyle 2yz^2

Correct answer:

\displaystyle 4yz

Explanation:

To find the given partial derivative of the function, we must treat the other variable(s) as constants. For higher order partial derivatives, we work from left to right for the given variables.

To start, we must find the partial derivative with respect to y:

\displaystyle f_y=2xyz^2

The following rules were used to find the derivative:

\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} ax=a\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} x^n=nx^{n-1}

Next, we find the derivative of the above function above with respect to x:

\displaystyle f_{yx}=2yz^2

The rule used is stated above.

Finally, find the partial derivative of the above function with respect to z:

\displaystyle f_{yxz}=4yz

The rule used is already stated above.

 

Example Question #20 : Gradient Vector, Tangent Planes, And Normal Lines

Find \displaystyle \nabla f of the given function:

\displaystyle f(x, y, z)=z^2e^{x}+\cos(3y)

Possible Answers:

\displaystyle \left \langle e^x, -3\sin(3y), 2ze^x\right \rangle

\displaystyle \left \langle z^2e^x, -3\sin(3y), 2ze^x\right \rangle

\displaystyle \left \langle z^2e^x, 3\sin(3y), 2ze^x\right \rangle

\displaystyle z^2e^x -3\sin(3y) +2ze^x

Correct answer:

\displaystyle \left \langle z^2e^x, -3\sin(3y), 2ze^x\right \rangle

Explanation:

The gradient of a function is given by

\displaystyle \nabla f=\left \langle f_x, f_y, f_z\right \rangle

So, we must find the partial derivatives. To find the given partial derivative of the function, we must treat the other variable(s) as constants.

\displaystyle f_x=z^2e^x

\displaystyle f_y=-3\sin(3y)

\displaystyle f_z=2ze^x

The derivatives were found using the following rules:

\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} ax=a\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} f'(g(x))\cdot g'(x)\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} \cos(x)=-\sin(x)\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} e^x=e^x

Example Question #1571 : Calculus 3

Find \displaystyle \nabla f of the function:

\displaystyle f(x, y, z)=\tan(xy)+z^2+4z+4

Possible Answers:

\displaystyle \left \langle y\sec^2(xy), x\sec^2(xy), 2z+8\right \rangle

\displaystyle \left \langle xsec^2(xy), ysec^2(xy), 2z+4\right \rangle

\displaystyle \left \langle y\sec(xy), x\sec(xy), 2z+4\right \rangle

\displaystyle \left \langle y\sec^2(xy), x\sec^2(xy), 2z+4\right \rangle

Correct answer:

\displaystyle \left \langle y\sec^2(xy), x\sec^2(xy), 2z+4\right \rangle

Explanation:

The gradient of a function is given by

\displaystyle \nabla f=\left \langle f_x, f_y, f_z\right \rangle

To find the given partial derivative of the function, we must treat the other variable(s) as constants.

The partial derivatives are 

\displaystyle f_x=y\sec^2(xy)

\displaystyle f_y=x\sec^2(xy)

\displaystyle f_z=2z+4

The derivatives were found using the following rules:

\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} ax=a\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} x^n=nx^{n-1}\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} \tan(x)=\sec^2(x)

Example Question #1581 : Calculus 3

Find \displaystyle \nabla f for the given function:

\displaystyle f(x, y, z)=e^{\tan(xz)}+\sin(y)

 

Possible Answers:

\displaystyle \left \langle z\sec^2(xz)e^{\tan(xz)}, \cos(y), x\sec^2(xz)e^{\tan(xz)}\right \rangle

\displaystyle \left \langle x\sec^2(xz)e^{\tan(xz)}, \cos(y), z\sec^2(xz)e^{\tan(xz)}\right \rangle

\displaystyle \left \langle z\sec^2(xz)e^{\tan(xz)}, -\cos(y), x\sec^2(xz)e^{\tan(xz)}\right \rangle

\displaystyle \left \langle sec^2(xz)e^{\tan(xz)}, \cos(y), sec^2(xz)e^{\tan(xz)}\right \rangle

Correct answer:

\displaystyle \left \langle z\sec^2(xz)e^{\tan(xz)}, \cos(y), x\sec^2(xz)e^{\tan(xz)}\right \rangle

Explanation:

The gradient of a function is given by

\displaystyle \nabla f=\left \langle f_x, f_y, f_z\right \rangle

To find the given partial derivative of the function, we must treat the other variable(s) as constants.

The partial derivatives are

\displaystyle f_x=z\sec^2(xz)e^{\tan(xz)}

\displaystyle f_y=\cos(y)

\displaystyle f_z=x\sec^2(xz)e^{\tan(xz)}

The derivatives were found using the following rules:

\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} f(g(x))=f'(g(x))\cdot g'(x)\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} e^u=e^u\frac{\mathrm{d} u}{\mathrm{d} x}\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} \tan(x)=\sec^2(x)\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} ax=a

Example Question #41 : Applications Of Partial Derivatives

Find \displaystyle \nabla f of the following function:

\displaystyle f(x, y, z)=x^2+z^4+y^4\cos(z)

Possible Answers:

\displaystyle \left \langle 2x, 4y^3, 4z^3-\sin(z)\right \rangle

\displaystyle \left \langle 2x, 4y^3\cos(z), 4z^3\right \rangle

\displaystyle \left \langle 2x, 4y^3\cos(z), 4z^3+y^4\sin(z)\right \rangle

\displaystyle \left \langle 2x, 4y^3\cos(z), 4z^3-y^4\sin(z)\right \rangle

Correct answer:

\displaystyle \left \langle 2x, 4y^3\cos(z), 4z^3-y^4\sin(z)\right \rangle

Explanation:

The gradient of a function is given by

\displaystyle \nabla f=\left \langle f_x, f_y, f_z\right \rangle

To find the given partial derivative of the function, we must treat the other variable(s) as constants.

The partial derivatives are

\displaystyle f_x=2x

\displaystyle f_y=4y^3\cos(z)

\displaystyle f_z=4z^3-y^4\sin(z)

The derivatives were found using the following rules:

\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} ax=a\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} x^n=nx^{n-1}\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} \cos(x)=-\sin(x)

Example Question #1583 : Calculus 3

Find \displaystyle \nabla f for the following function:

\displaystyle f(x,y,z)=e^{\sec(x)}+\tan(yz)

Possible Answers:

\displaystyle \left \langle \sec(x)\tan(x)e^{\sec(x)}, y\sec^2(yz), z\sec^2(yz)\right \rangle

\displaystyle \sec(x)\tan(x)e^{\sec(x)}+z\sec^2(yz)+y\sec^2(yz)

\displaystyle \left \langle \sec(x)\tan(x)e^{\sec(x)}, z\sec(yz), y\sec(yz)\right \rangle

\displaystyle \left \langle \sec(x)\tan(x)e^{\sec(x)}, z\sec^2(yz), y\sec^2(yz)\right \rangle

Correct answer:

\displaystyle \left \langle \sec(x)\tan(x)e^{\sec(x)}, z\sec^2(yz), y\sec^2(yz)\right \rangle

Explanation:

The gradient of a function is given by

\displaystyle \nabla f=\left \langle f_x, f_y, f_z\right \rangle

To find the given partial derivative of the function, we must treat the other variable(s) as constants.

The partial derivatives are

\displaystyle f_x=\sec(x)\tan(x)e^{\sec(x)}

\displaystyle f_y=z\sec^2(yz)

\displaystyle f_z=y\sec^2(yz)

The derivatives were found using the following rules:

\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} ax=a\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} \sec(x)=\sec(x)\tan(x)\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} \tan(x)=\sec^2(x)\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} e^u=e^u\frac{\mathrm{d} u}{\mathrm{d} x}\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} f(g(x))=f'(g(x))\cdot g'(x)

Example Question #1584 : Calculus 3

Find \displaystyle \bigtriangledown f for the following function:

\displaystyle f(x, y, z)=xyz^4+y^2+e^{xz}

Possible Answers:

\displaystyle \left \langle z^4y+ze^{xz}, xz^4+2y, 4z^3xy+xe^{xz}\right \rangle

\displaystyle \left \langle xe^{xz}, 2y, ze^{xz}\right \rangle

\displaystyle z^4y+ze^{xz} + xz^4+2y+4z^3xy+xe^{xz}

\displaystyle \left \langle z^4y+xe^{xz}, xz^4+2y, 4z^3xy+ze^{xz}\right \rangle

Correct answer:

\displaystyle \left \langle z^4y+ze^{xz}, xz^4+2y, 4z^3xy+xe^{xz}\right \rangle

Explanation:

The gradient of a function is given by

\displaystyle \bigtriangledown f=\left \langle f_x, f_y, f_z\right \rangle

To find the given partial derivative of the function, we must treat the other variable(s) as constants. 

The partial derivatives are

\displaystyle f_x=z^4y+ze^{xz}

\displaystyle f_y=xz^4+2y

\displaystyle f_z=4z^3xy+xe^{xz}

The partial derivatives were found using the following rules:

\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} ax=a\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} e^u=e^u\frac{\mathrm{d} u}{\mathrm{d} x}\displaystyle \frac{\mathrm{d} }{\mathrm{d} x} x^n=nx^{n-1}

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