Definition of Partial Derivatives:
Partial Derivatives:
Partial derivatives are used when a function depends on two or more variables. A partial derivative represents the rate of change of the function with respect to one variable, while keeping the other variables constant.
If f(x,y) is a function of two variables x and y, the partial derivative of f with respect to x is denoted as: ∂x∂f
Similarly, the partial derivative of f with respect to y is denoted as: ∂y∂f
In general, for a function f(x1,x2,...,xn), the partial derivative with respect to any variable xi is: ∂xi∂f
Formula Used:
The general formula for the partial derivative of a multivariable function f(x1,x2,...,xn) with respect to one variable xi is:
∂xi∂f=h→0limhf(x1,x2,...,xi+h,...,xn)−f(x1,x2,...,xn)
This means we differentiate the function with respect to one variable, while holding all other variables constant.
Derivative Examples with Solutions:
Example 1: Partial Derivative of a Multivariable Polynomial
Differentiate f(x,y)=3x2y+2xy2−5x+y with respect to x.
Solution:
We apply the partial derivative with respect to x, treating y as a constant:
∂x∂(3x2y+2xy2−5x+y)
Differentiating each term:
- ∂x∂(3x2y)=6xy
- ∂x∂(2xy2)=2y2
- ∂x∂(−5x)=−5
- ∂x∂(y)=0 (since y is constant)
Thus, the partial derivative is: 6xy+2y2−5
Example 2: Partial Derivative of an Exponential Function
Differentiate f(x,y)=exy with respect to y.
Solution:
We apply the partial derivative with respect to y, treating x as a constant:
∂y∂(exy)
Using the chain rule:
∂y∂(exy)=exy⋅∂y∂(xy)
Since ∂y∂(xy)=x, we get:
∂y∂(exy)=xexy
Thus, the partial derivative is: xexy
Example 3: Partial Derivative of a Logarithmic Function
Differentiate f(x,y)=ln(x2+y2) with respect to x.
Solution:
We apply the partial derivative with respect to x, treating y as a constant:
∂x∂(ln(x2+y2))
Using the chain rule:
∂x∂(ln(u))=u1⋅∂x∂u
Here, u=x2+y2, so ∂x∂u=2x.
Thus:
∂x∂(ln(x2+y2))=x2+y21⋅2x
So, the final answer is: x2+y22x
Conclusion:
- Partial derivatives are used to find the rate of change of a function with respect to one variable while holding other variables constant.
- They are fundamental in multivariable calculus, appearing in applications such as optimization, economics, and physics.
- The chain rule and product rule often work in conjunction with partial derivatives to solve real-world problems.