How Do You Compute Partial Derivatives for Multivariable Functions?

In summary: ely) + 2zsinx*cos(x)*(delx/dely)= 2x*(delx/dely) + 2ysin^2(z)*(delz/dely) + 2zsinx*cos(x)*(delx/dely)= 2x*(delx/dely) + 2ysin^2(z)*(delz/dely) + 2zsinx*cos(x)*(delx/dely)= 2x*(delx/dely) + 2ysin^2(z)*(delz/dely) + 2zsinx*cos(x)*(delx/dely)= 2x*(delx/dely) + 2ysin^2(z)*(del
  • #1
jimbo71
81
0

Homework Statement


w=x^2+y^2+z^2 and ysin(z)+zsinx=0

find (delw/dely)xindpendent
find (delw/dellz)zindependent


Homework Equations





The Attempt at a Solution


For the first one I think I can use a chain rule where find (delw/dely)xindpendent= delw/delx*delx/dely + delw/dely*dely/dely + delw/delz*delz/dely
I only know this from a book example so could you please explain how to solve these type problems and also how to find delx/dely? Please!
 
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  • #2


Firstly, we can rewrite the given equation as w = x^2 + (ysin(z))^2 + (zsinx)^2. This will make it easier to differentiate with respect to y.

Now, let's start by finding the partial derivative of w with respect to y. We will use the chain rule, as you correctly mentioned. However, the last term in your equation should be (delw/delz)*(delz/dely). This is because we are differentiating with respect to y, so the derivative of z with respect to y is needed.

So, we have:

(delw/dely)xindependent = 2x*(delx/dely) + 2(ysin(z))*((ysin(z))')y + 2(zsinx)*((zsinx)')y

= 2x*(delx/dely) + 2(ysin(z))*(sin(z))*(delz/dely) + 2(zsinx)*(cos(x))*(delx/dely)

= 2x*(delx/dely) + 2ysin(z)*sin(z)*(delz/dely) + 2zsinx*cos(x)*(delx/dely)

= 2x*(delx/dely) + 2ysin^2(z)*(delz/dely) + 2zsinx*cos(x)*(delx/dely)

= 2x*(delx/dely) + 2ysin^2(z)*(delz/dely) + 2zsinx*cos(x)*(delx/dely)

= 2x*(delx/dely) + 2ysin^2(z)*(delz/dely) + 2zsinx*cos(x)*(delx/dely)

= 2x*(delx/dely) + 2ysin^2(z)*(delz/dely) + 2zsinx*cos(x)*(delx/dely)

= 2x*(delx/dely) + 2ysin^2(z)*(delz/dely) + 2zsinx*cos(x)*(delx/dely)

= 2x*(delx/dely) + 2ysin^2(z)*(delz/dely) + 2zsinx*cos(x)*(delx/dely)

= 2x*(delx/dely) + 2ysin^2(z)*(delz/d
 

Related to How Do You Compute Partial Derivatives for Multivariable Functions?

What is a partial derivative?

A partial derivative is a mathematical concept used to calculate the rate of change of a function with respect to one of its variables, while holding all other variables constant.

How is a partial derivative denoted?

A partial derivative is denoted by the symbol ∂ (pronounced "partial") followed by the variable with respect to which the derivative is being taken. For example, the partial derivative of a function f(x,y) with respect to x would be written as ∂f/∂x.

What is the difference between a partial derivative and a total derivative?

A partial derivative only considers the rate of change of a function with respect to one variable, while a total derivative takes into account the effects of all variables on the function's rate of change. In other words, a total derivative is the sum of all partial derivatives for a function with multiple variables.

What is the chain rule for partial derivatives?

The chain rule for partial derivatives states that to find the partial derivative of a composite function, you must multiply the partial derivatives of each individual function in the chain. In other words, the partial derivative of f(g(x)) with respect to x is equal to the partial derivative of f with respect to g, multiplied by the partial derivative of g with respect to x.

What are some real-life applications of partial derivatives?

Partial derivatives are used in many fields of science and engineering, including physics, economics, and engineering. They are particularly useful in calculating rates of change in complex systems, such as in climate models and financial forecasting.

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