Understanding Gradients and Partial Derivatives

Understanding Gradients and Partial Derivatives

Assessment

Interactive Video

Mathematics

11th - 12th Grade

Hard

Created by

Jackson Turner

FREE Resource

Professor Dave revisits differentiation, introducing a new notation for derivatives using the differential operator. He explains how this notation is beneficial for taking derivatives with respect to different variables. The concept of partial derivatives is introduced, showing how to find rates of change in specific directions. An example function is used to demonstrate finding partial derivatives with respect to x and y. The gradient, a vector of partial derivatives, is explained as a tool for understanding maximum change direction. The lesson concludes with an example of finding the gradient of a function with three variables and a brief mention of future topics like vector fields.

Read more

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the alternative notation for the derivative of a function f(x) besides the prime symbol?

Matrix notation

Differential operator notation

Integral notation

Summation notation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the differential operator behave when applied to the sum of two functions?

It subtracts the derivatives of the functions

It adds the derivatives of the functions

It divides the derivatives of the functions

It multiplies the functions

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a partial derivative?

A derivative that multiplies all variables

A derivative that ignores all variables

A derivative taken with respect to one variable while treating others as constants

A derivative taken with respect to all variables

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When finding the partial derivative of f(x,y) = xy^2 + x^3 with respect to x, what is the result?

2x + 3y

2xy + 3x^2

x^2 + y^2

y^2 + 3x^2

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the gradient of a function represent?

The direction and magnitude of maximum change

The sum of all partial derivatives

The average rate of change

The minimum value of the function

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the gradient vector written in two dimensions?

<∂/∂x, ∂/∂y, ∂/∂z>

<∂/∂x, ∂/∂z>

<∂/∂x, ∂/∂y>

<∂/∂y, ∂/∂z>

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the gradient of the function f(x,y,z) = (x^5)(e^2z)/y with respect to x?

(5x^4)(e^2z)/y

(x^5)(e^2z)/y^2

(x^4)(e^2z)/y

(2x^5)(e^2z)/y

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?