All Calculus 3 Resources
Example Questions
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 #34 : 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 #1591 : Calculus 3
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
Example Question #61 : Applications Of Partial Derivatives
Find of the function
To find the gradient vector, you use the following definition: . Taking the partial derivatives with respect to x, y, and z, we get , , and . Putting these into the vector produces the right answer.
Example Question #62 : Applications Of Partial Derivatives
Find of the function
To find the gradient vector for a function , we use the definition
.
Putting these answers into the vector gets us the correct answer
Example Question #63 : Applications Of Partial Derivatives
Find of the function
To find the gradient vector for a function , we use the definition
.
Putting these answers into the vector gets us the correct answer
Example Question #64 : Applications Of Partial Derivatives
Find of the function
To find the gradient vector for a function , we use the definition
.
Putting these answers into the vector gets us the correct answer
Example Question #1591 : Calculus 3
Compute the gradient of the following scalar function:
The gradient of a function is defined as:
For our function:
Thus, the gradient is:
Example Question #41 : Gradient Vector, Tangent Planes, And Normal Lines
Compute the gradient of the following scalar function:
The gradient of a function is defined as:
For our function:
Thus, the gradient is:
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