All Calculus 3 Resources
Example Questions
Example Question #21 : Gradient Vector, Tangent Planes, And Normal Lines
Find of the function:
The gradient of a function is given by
To find the given partial derivative of the function, we must treat the other variable(s) as constants.
The partial derivatives are
The derivatives were found using the following rules:
, , , ,
Example Question #21 : Gradient Vector, Tangent Planes, And Normal Lines
Find of the function
The formula for the gradient of F is
.
Using the rules for partial differentiation, we get
.
Putting into vector notation, we get
.
Example Question #22 : Gradient Vector, Tangent Planes, And Normal Lines
Find the equation of the plane tangent to the point if the gradient vector .
By definition, is the vector that orthogonal to the plane at the point we were given.
We then use the formula for a plane given a point and normal vector .
We get
.
Through algebraic manipulation, we get
.
Example Question #1581 : Calculus 3
Find the gradient, , of the function .
The gradient of a function is as follows:
.
We compute the derivative of the function with respect to each of the variables and treat the others like constants.
Using the rule
,
we obtain
,
,
and
.
Putting these expressions into the vector completes the problem, and you obtain
.
Example Question #25 : Gradient Vector, Tangent Planes, And Normal Lines
Find the gradient, , of the function .
The gradient of a function is as follows:
.
We compute the derivative of the function with respect to each of the variables and treat the others like constants.
Using the rule
,
we obtain
,
,
and .
Putting these expressions into the vector completes the problem, and you obtain
.
Example Question #31 : Gradient Vector, Tangent Planes, And Normal Lines
Find the gradient, , of the function .
The gradient of a function is as follows:
.
We compute the derivative of the function with respect to each of the variables and treat the others like constants.
Using the rule
,
we obtain
,
,
and
.
Putting these expressions into the vector completes the problem, and you obtain
Example Question #32 : Gradient Vector, Tangent Planes, And Normal Lines
Find of the function .
The gradient of a function is as follows:
.
We compute the derivative of the function with respect to each of the variables and treat the others like constants.
Using the rule , we obtain
,
,
and
.
Putting these expressions into the vector completes the problem, and you obtain
.
Example Question #33 : Gradient Vector, Tangent Planes, And Normal Lines
Find the tangent plane to the surface given by
at the point
The equation of the tangent plane is given by
So, we must find the partial derivatives for the function evaluated at the point given. To find the given partial derivative of the function, we must treat the other variable(s) as constants.
The partial derivatives are
The derivatives were found using the following rules:
,
Now, we evaluate them at the given point:
Finally, plug in all of our information into the formula and simplify:
Example Question #31 : Gradient Vector, Tangent Planes, And Normal Lines
Find the tangent plane to the surface given by
at the point
The equation of the tangent plane is given by
So, we must find the partial derivatives for the function evaluated at the point given. To find the given partial derivative of the function, we must treat the other variable(s) as constants.
The partial derivatives are
The rules used to find the derivatives are
, ,
Evaluated at the given point, the partial derivatives are
Plugging all of this into the above formula, and simplifying, we get
Example Question #51 : Applications Of Partial Derivatives
Find the tangent plane to the surface given by
at the point
The equation of the tangent plane is given by
So, we must find the partial derivatives for the function evaluated at the point given. To find the given partial derivative of the function, we must treat the other variable(s) as constants.
The partial derivatives are
The derivatives were found using the following rules:
,
Next, we evaluate the partial derivatives at the given point:
Plugging in all our information into the formula above, we get
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