# Calculus

Differentiation of Functions# Differential of a Function

Problems 1-2

Problems 3-15

### Definition of the Differential of a Function

Consider a function \(y = f\left( x \right),\) which is continuous in the interval \(\left[ {a,b} \right].\) Suppose that at some point \({x_0} \in \left[ {a,b} \right]\) the independent variable is incremented by \(\Delta x.\) The increment of the function \(\Delta y\) corresponding to the change of the independent variable \(\Delta x\) is given by

For any differentiable function, the increment \(\Delta y\) can be represented as a sum of two terms:

where the first term (called the principal part of the increment) is linearly dependent on the increment \(\Delta x,\) and the second term has a higher order of smallness with respect to \(\Delta x.\) The expression \(A\Delta x\) is called the differential of function and is denoted by \(dy\) or \(df\left( {{x_0}} \right).\)

Consider the idea of partition of the increment of of the function \(\Delta y\) into two parts in the following simple example. Given a square with side \({x_0} = 1 \,\text{m}\,\) (Figure \(1\)). Its area is obviously equal to

If the side of the square is increased by \(\Delta x = 1\,\text{cm},\) the exact value of the area of the square will be equal to

Figure 1.

i.e. the increment of the area \(\Delta S\) is

{\Delta S = S – {S_0} }={ 1,0201 – 1 }={ 0,0201\,\text{m}^2 }

= {201\,\text{cm}^2.}

\]

We now represent this increment \(\Delta S\) as follows:

{\Delta S = S – {S_0} }={ {\left( {{x_0} + \Delta x} \right)^2} – x_0^2 }

= {\cancel{x_0^2} + 2{x_0}\Delta x + {\left( {\Delta x} \right)^2} – \cancel{x_0^2} }

= {2{x_0}\Delta x + {\left( {\Delta x} \right)^2} }

= {A\Delta x + \omicron\left( {\Delta x} \right) }

= {dy + o\left( {\Delta x} \right).}

\]

Thus, the increment \(\Delta S\) consists of the principal part (the differential of the function), which is proportional to \(\Delta x\) and is equal to

and the term of a higher order of smallness, which in turn is equal to

In sum, both these terms comprise the full increment of the square area equal to \(200 + 1 = 201\,\text{cm}^2.\)

Note that in this example the coefficient \(A\) is equal to the value of the derivative of \(S\) at the point \({x_0}:\)

It turns out that for any differentiable function, the following theorem is valid:

The coefficient \(A\) in the principal part of the increment of a function at a point \({x_0}\) is equal to the value of the derivative \(f’\left( {{x_0}} \right)\) at this point, i.e. the increment \(\Delta y\) is given by

{\Delta y = A\Delta x + \omicron\left( {\Delta x} \right) }

= {f’\left( {{x_0}} \right)\Delta x + \omicron\left( {\Delta x} \right).}

\]

Dividing both sides of the equation by \(\Delta x \ne 0\) gives

{\frac{{\Delta y}}{{\Delta x}} = A + \frac{{\omicron\left( {\Delta x} \right)}}{{\Delta x}} }

= {f’\left( {{x_0}} \right) + \frac{{\omicron\left( {\Delta x} \right)}}{{\Delta x}}.}

\]

In the limit as \(\Delta x \to 0\), we obtain the value of the derivative at the point \({x_0}:\)

{y’\left( {{x_0}} \right) = \lim\limits_{\Delta x \to 0} \frac{{\Delta y}}{{\Delta x}} }

= {A }={ f’\left( {{x_0}} \right).}

\]

Here we took into account that for a small quantity \(\omicron\left( {\Delta x} \right)\) of higher order of smallness than \(\Delta x,\) the limit is equal to

Assuming that the differential of the independent variable \(dx\) is equal to its increment \(\Delta x:\)

we obtain from the relation

that

i.e. the derivative of a function can be represented as the ratio of two differentials.

### Geometric Meaning of the Differential of a Function

Figure \(2\) schematically shows splitting of the increment \(\Delta y\) into the principal part \(A\Delta x\) (the differential of function) and the term of a higher order of smallness \(\omicron\left( {\Delta x} \right).\)

Figure 2.

The tangent \(MN\) drawn to the curve of the function \(y = f\left( x \right)\) at the point \(M,\) as it is known, has the slope angle \(\alpha,\) the tangent of which is equal to the derivative:

When the independent variable changes by \(\Delta x\), the tangent increments by \(A\Delta x.\) This linear increment formed by the tangent is just the differential of the function. The remaining part of the full increment \(\Delta y\) (the segment \(N{M_1}\)) corresponds to the “nonlinear” additive of a higher order of smallness with respect to \(\Delta x\).

### Properties of the Differential

Let \(u\) and \(v\) be functions of the variable \(x\). The differential has the following properties:

- A constant can be taken out of the differential sign:

\(d\left( {Cu} \right) = Cdu,\) where \(C\) is a constant number. - The differential of the sum (difference) of two functions is equal to the sum (difference) of their differentials:

\({d\left( {u \pm v} \right) }={ du \pm dv.}\) - The differential of a constant is zero:

\(d\left( C \right) = 0.\) - The differential of the independent variable \(x\) is equal to its increment:

\(dx = \Delta x.\) - The differential of a linear function is equal to its increment:

\({d\left( {ax + b} \right) }\) \(= {\Delta \left( {ax + b} \right) }\) \(={ a\Delta x.}\) - Differential of the product of two functions:

\({d\left( {uv} \right) }={ du \cdot v + u \cdot dv.}\) - Differential of the quotient of two functions:

\({d\left( {\large\frac{u}{v}\normalsize} \right) }\) \(={ \large\frac{{du \cdot v – u \cdot dv}}{{{v^2}}}\normalsize.}\) - The differential of a function is equal to the derivative of the function times the differential of the independent variable:

\({dy = df\left( x \right) }={ f’\left( x \right)dx.}\)

As can be seen, the differential of the function \(dy\) differs from the derivative only by the factor \(dx\). For example,

{d\left( {{x^n}} \right) = n{x^{n – 1}}dx,\;\;\;}\kern0pt

{d\left( {\ln x} \right) = \frac{{dx}}{x},\;\;\;}\kern0pt

{d\left( {\sin x} \right) = \cos x dx}

\]

and so on.

### Form Invariance of the Differential

Consider a composition of two functions \(y = f\left( u \right)\) and \(u = g\left( x \right).\) Its derivative can be found by the chain rule:

where the subindex denotes the variable of differentiation.

The differential of the “outer” function \(y = f\left( u \right)\) can be written as

The differential of the “inner” function \(u = g\left( x \right)\) can be represented in a similar manner:

If we substitute \(du\) in the last formula, we obtain

Since \({y’_x} = {y’_u} \cdot {u’_x},\) then

It is seen that in the case of a composite function, we obtain the expression for the differential in the same form as for a “simple” function. This property is called the form invariance of the differential.

## Solved Problems

Click on problem description to see solution.

### ✓ Example 1

Find the differential of the function \(y = \sin x – x\cos x.\)

### ✓ Example 2

Find the differential of the function \(y = \cot {\large\frac{{\pi x}}{4}\normalsize}\) at the point \(x = 1\).

### ✓ Example 3

Find the differential of the function \(y = 2{x^2} + 3x + 1\) at the point \(x = 1\) when \(dx = 0,1.\)

### ✓ Example 4

Calculate the increment and differential of the function \(y = {x^2} – x + 1\) at the point \(x = 2\) when \(dx = 1.\)

### ✓ Example 5

Find the differential of the function \(y = {x^x}{e^{2x}}\) at the point \(x = 1\).

### ✓ Example 6

Find the differential of \(y = x\sin {\large\frac{{\pi x}}{2}\normalsize}\) at the point \(x = {\large\frac{1}{2}\normalsize}\) when \(dx = 0,01.\)

### ✓ Example 7

Calculate the increment and differential of the function \(y = {\large\frac{{x + 2}}{{x + 1}}\normalsize}\) at the point \(x = 0\) when \(\Delta x = 0,1.\)

### ✓ Example 8

Find the differential of the function \(y = {\large\frac{1}{{\sqrt {{u^2} + {v^2}} }}\normalsize},\) where \(u\) and \(v\) are differentiable functions of the variable \(x\).

### ✓ Example 9

Find the differential of the function \(y = \arcsin {\large\frac{u}{v}\normalsize},\) where \(u\) and \(v\) are differentiable functions of \(x\).

### ✓ Example 10

The function \(y\left( x \right)\) is given implicitly by the equation \({y^3} – 3xy + {x^3} = 3.\) Find its differential at the point \(\left( {2,1} \right).\)

### ✓ Example 11

The function \(y\left( x \right)\) is defined by the implicit equation \({x^2} – \sqrt y \,\ln y = 1.\) Find its differential at the point \(\left( {1,1} \right).\)

### ✓ Example 12

The function \(y\left( x \right)\) is defined by the parametric equations

\left\{

\begin{aligned}

x &= t^2 + t + 1 \\

y &= t^3 – 2t

\end{aligned}

\right..

\]

Find the differential of the function at the point \(\left( {3, – 1} \right).\)

### ✓ Example 13

The function \(y\left( x \right)\) is defined by the parametric equations

\left\{

\begin{aligned}

x &= \left( {t + 2} \right){e^t} \\

y &= {e^{t + 1}}

\end{aligned}

\right..

\]

Find the differential of the function at the point \(\left( {2, e} \right).\)

### ✓ Example 14

Given the composite function \(y = \ln u,\;u = \cos x.\) Express the differential of \(y\) in an invariant form.

### Example 1.

Find the differential of the function \(y = \sin x – x\cos x.\)

*Solution.*

Determine the derivative of the given function:

{y’ = {\left( {\sin x – x\cos x} \right)^\prime } }

= {\cos x }-{ \left( {x’\cos x + x{{\left( {\cos x} \right)}^\prime }} \right) }

= {\cos x }-{ \left( {\cos x + x\left( { – \sin x} \right)} \right) }

= {\cancel{\cos x} – \cancel{\cos x} }+{ x\sin x }={ x\sin x.}

\]

The differential has the following form:

### Example 2.

Find the differential of the function \(y = \cot {\large\frac{{\pi x}}{4}\normalsize}\) at the point \(x = 1\).

*Solution.*

We find the derivative and calculate its value at the given point:

{{y’ = {\left( {\cot \frac{{\pi x}}{4}} \right)^\prime } }

= { – \frac{1}{{{{\sin }^2}\left( {\frac{{\pi x}}{4}} \right)}} \cdot \frac{\pi }{4} }

= { – \frac{\pi }{{4{{\sin }^2}\left( {\frac{{\pi x}}{4}} \right)}},\;\;}}\Rightarrow

{{y’\left( 1 \right) }={ – \frac{\pi }{{4{{\sin }^2}\left( {\frac{\pi }{4}} \right)}} }

= { – \frac{\pi }{{4{{\left( {\frac{{\sqrt 2 }}{2}} \right)}^2}}} }={ – \frac{\pi }{2}.}}

\]

Then

Problems 1-2

Problems 3-15