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PD.3 Partial Derivatives

In general, if $f$ is a function of two variables $x$ and $y$, suppose we let only $x$ vary while keeping $y$ fixed, say $y=b$, where $b$ is a constant. Then we are really considering a function of a single variable $x$, namely, $g(x)=f(x,b)$. if $g$ has a derivative at $a$, then we call it the partial derivative of $f$ with respect to $x$ at $(a,b)$ and denote it by $f(a,b)$. Thus:


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Picture of Partial Derivatives:

 

To understand the concept let's take a look at the one-dimensional case first:

 

Using the definition of a derivative, the above equation becomes:


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Similarly, the partial derivative of $f$ with respect to $y$ at $(a,b),$ denoted by $f_{y}(a,b)$, is obtained by keeping x fixed $(x=a)$ and finding the ordinary derivative at $b$ of the function $G(y)=f(a,y):$


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If we now let the point $(a,b)$ vary in Equations 2 and 3, $f_{x}$ and $f_{y} $ become functions of two variables.


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and


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Notations for Partial Derivatives

 

If $z=f(x,y)$, we write:


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                            MATH


 

To compute partial derivatives, all we have to do is remember from Equation 1 that the partial derivative with respect to $x$ is just the ordinary derivative of the function of $g$ of a single variable that we get by keeping y fixed. Thus, we have the following rule:

 

Rule for Finding Partial Derivatives of $z=f(x,y)$


1. To find $f_{x},$regard $y$ as a constant and differentiate $f(x,y)$ with respect to $x.$

2. To find $f_{y},$regard $x$ as a constant and differentiate $f(x,y)$ with respect to $y.$

 

Partial Derivatives can be interpreted as rates of change. If $z=f(x,y)$, then MATH represents the rate of change of $z$ with respect to $x$ when $y$ is fixed. Similarly, MATH represents the rate of change of $z$ with respect to $y$ when $x$ is fixed.


 

Functions of More than Two Variables

Partial derivatives can also be defined for functions of three or more variables. For example, if $f$ is a function of three variables $x,y,$ and $z,$ then its partial derivative with respect to x is defined as


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and it is found by regarding $y$ and $z$ as constants and differentiating$\ f(x,y,z),$then MATH can be interpreted as the rate of change of $w$ with respect to $x$ when $y$ and $z$ are held fixed.

In general, if $u$ is a function of $n$ variables, MATH its partial derivative with respect to the $i$th variable x$_{i}$ is:


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Higher Derivatives

If $f$ is a function of two variables, then its partial derivatives $f_{x}$ and $f_{y}$ are also functions of two variables, so we can consider their partial derivatives MATH, which are called the second partial derivatives of $f.$ If $z=f(x,y)$, we use the following notation:

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Therefore, $f_{xy}$ means that we differentiate with respect to $x$ first and then with respect to $y$. whereas $f_{yx}$ is simply the reverse.

Clairaut's Theorem


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Partial Differential Equations

Some equations using partial derivatives.

 

Laplace's Equation


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Solutions of this equation are called harmonic functions.

 

Wave Equation


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This equation can describe wave motion.

 

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