1. Home
  2. >Calculus 3
  3. >Partial Derivatives
Help

Partial derivatives

Everything You Need in One Place

Homework problems? Exam preparation? Trying to grasp a concept or just brushing up the basics? Our extensive help & practice library have got you covered.

Learn and Practice With Ease

Our proven video lessons ease you through problems quickly, and you get tonnes of friendly practice on questions that trip students up on tests and finals.

Instant and Unlimited Help

Our personalized learning platform enables you to instantly find the exact walkthrough to your specific type of question. Activate unlimited help now!

0/3
?
Intros
Lessons
  1. Partial Derivatives Overview:
  2. Introduction to Partial Derivatives
    • Derivatives in terms of 1 variable
    • Treating all other variables as constants
    • An example
  3. Definition of Partial Derivatives
    • Recalling the definition of derivative
    • Two formal equations
    • Won't be Using them (Too Complicated)
  4. Application of Partial Derivatives
    • Finding the tangent slope of a trace
    • Seeing if the function is increasing or decreasing
0/7
?
Examples
Lessons
  1. Finding the Partial Derivatives
    Find the first order partial derivatives of the following function:

    f(x,y)=2xln⁡(xy2)+xy−x3f(x,y) = 2x \ln (xy^2) + \frac{x}{y} - \sqrt{x^3}

    1. Find the first order partial derivatives of the following function:

      h(s,t)=h(s,t) = sin⁡(es2t3)+tan⁡2t \sin(e^{s^2t^3}) + \tan \frac{2}{t}

      1. Find the first order partial derivatives of the following function:

        g(r,s)=rln⁡r2+s2+rs g(r,s) = r \ln \sqrt{r^2 + s^2 + rs}

        1. Find the slope of the traces to z=4−x2−y2 z= \sqrt{4-x^2-y^2} at the point (1,2) (1, \sqrt{2} ) .
          1. Find the slope of the traces to z=z = sin⁡(xy)\sin(xy) at the point (0,π2)(0, \frac{\pi}{2}).
            1. Is the Function Increasing or Decreasing?
              Determine if f(x,y)=y2cos⁡(xy)f(x,y)=y^2 \cos (\frac{x}{y}) is increasing or decreasing at the point (π2,1)(\frac{\pi}{2},1) if:
              1. We allow xx to vary and hold yy fixed.
              2. We allow yy to vary and hold xx fixed.
            2. Determine if f(x,y)=x2+y2+ln⁡(xy)f(x,y)=x^2+y^2+ \ln (xy) is increasing or decreasing at the point (1,2)(1, 2) if:
              1. We allow xx to vary and hold yy fixed.
              2. We allow yy to vary and hold xx fixed.
            Topic Notes
            ?
            Notes:

            Introduction to Partial Derivatives
            Since we are dealing with multi-variable functions, we want to take the derivative in respect to 1 variable. This is known as the partial derivative.

            For a function f(x,y)f(x,y), we can have two partial derivatives:
            • fx=dfdx→f_x = \frac{df}{dx} \to derivative in terms of xx
            • fy=dfdy→f_y = \frac{df}{dy} \to derivative in terms of yy
            When taking partial derivatives of functions in terms of a variable, we treat other variables as constants. In other words, we allow one variable to vary, and the other variables to be fixed.

            Definition of Partial Derivatives
            Recall from the definition of derivative, we have the formula:

            lim⁡h→0f(x+h)−f(x)h\lim\limits_{h \to 0} \frac{f(x+h)-f(x)}{h}

            From for the definition of partial derivatives, we have the two following equations:

            fx=lim⁡h→0f(x+h,y)−f(x,y)h f_x = \lim\limits_{h \to 0} \frac{f(x+h,y) - f(x,y)}{h}
            fy=lim⁡h→0f(x,y+h)−f(x,y)h f_y = \lim\limits_{h \to 0} \frac{f(x, y+h) - f(x,y)}{h}

            We won't be using these equations because we already know how to take derivatives.

            Application of Partial Derivatives
            We can use partial derivatives to find the tangent slope of the traces at a certain point (a,b)(a,b). We can do this by finding fx(a,b)f_x(a,b) and fy(a,b)f_y(a,b).
            We can also use partial derivatives to see if f(x,y)f(x,y) is increasing or decreasing. In other words, if

            fx>0f_x\gt0, then f(x,y)f(x,y) is increasing as we vary xx.
            fx<0f_x\lt0, then f(x,y)f(x,y) is decreasing as we vary xx.
            fy>0f_y\gt0, then f(x,y)f(x,y) is increasing as we vary yy.
            fy<0f_y\lt0, then f(x,y)f(x,y) is decreasing as we vary yy.