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Question: Why Partial differentiation used?...

Why Partial differentiation used?

Explanation

Solution

In this problem, we are going to see the purpose of the partial differentiation and how it is used. We should know that partial differentiation is used to differentiate mathematical functions having more than one variable in them. We can see how the partial differentiation is used with an example problem.

Complete step-by-step solution:
We know that partial differentiation is used to differentiate mathematical functions having more than one variable in them.
We already know that in ordinary differentiation we find the derivative with respect to one variable only, as the function contains only one variable. But if we have more than one variable for differentiation, then we should use the term ‘partial differentiation’, to differentiate the given function. It’s symbol is denoted by \partial .
We can use the partial differentiation, as it holds some independent variable as constant and find the derivative with respect to another independent variable.
We can now take an example.
We can now take a function,
f(x,y)=x2+y3f\left( x,y \right)={{x}^{2}}+{{y}^{3}}
We can see that here we have two variables.
We can now find the partial derivative with respect to y, we consider x as constant.
Partial derivative with respect to y is,
fy=fy=0+3y2=3y2\Rightarrow f{{'}_{y}}=\dfrac{\partial f}{\partial y}=0+3{{y}^{2}}=3{{y}^{2}}
We can now find the partial derivative with respect to x, we consider y as constant.
Partial derivative with respect to x is,
fx=fx=2x+0=2x\Rightarrow f{{'}_{x}}=\dfrac{\partial f}{\partial x}=2x+0=2x.
Therefore, partial derivative is used when we have to differentiate a function with more than one variable.

Note: We should remember that if we have three or more variables, we will differentiate with respect to one variable and we will consider all other variables as constants. We should also remember that partial differentiation can be done only if ordinary differentiation rules and formulas are known.