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Differentiability of a Function and Rate of Change

D. Differentiability

Definition of Tangent

If f is defined on an open interval containing c, and if the limit

Definition of Tangent
= m exists, then the line passing through (c, f(c)) with slope m is the tangent line to the graph of f at the point (c, f(c)).

The slope of the tangent line to the graph of f at the point (c, f(c)) is also called the slope of the graph of f at x = c.

The above definition of a tangent line to a curve does not cover the possibility of a vertical tangent line. For vertical tangent lines, use the following definition. If f is continuous at c and

Definition of Tangent

then the vertical line x = c, passing through (c, f(c)), is a vertical tangent line to the graph of f. For example, the function shown in the figure has a vertical tangent line at (c, f(c)). If the domain of f is the closed interval [a, b], extend the definition of a vertical tangent to include endpoints by considering one-sided limits (from the right at x = a and from the left at x = b).

Definition of Tangent

Definition of Tangent

The Derivative as a Function

In the preceding section we considered the derivative of a function f at a fixed number a:

The Derivative as a Function
.....(1)

Note that alternatively, we can define

The Derivative as a Function
provided the limit exists.

Now change the point of view: let the number a vary. If we replace a in Equation (1) by a variable x, we obtain

The Derivative as a Function
...(2)

Given any number x for which this limit exists, we assign to x the number f'(x). So we can regard f' as a new function, called the derivative of f and defined by Equation (2). Geometrically, f'(x) is the slope of the tangent line to the graph of f at (x, f(x)).

The function f' is called the derivative of f because it is obtained from f by this limiting process. The domain of f' is the set {x | f'(x) exists} and may be smaller than the domain of f.

Average and Instantaneous Rate of Change

Suppose y is a function of x, say y = f(x). For a change from x to x + Δx, y changes from f(x) to f(x + Δx). The change in y is Δy = f(x + Δx) - f(x), and the average rate of change of y with respect to x over this interval is

Average rate of change =

Average and Instantaneous Rate of Change

As the interval over which we are averaging becomes shorter (that is, as

Average and Instantaneous Rate of Change
), the average rate of change approaches the instantaneous rate of change of y with respect to x, and the difference quotient approaches the derivative

Average and Instantaneous Rate of Change

Thus,

Instantaneous Rate of Change =

Average and Instantaneous Rate of Change

Summary

Instantaneous Rate of Change

Suppose f(x) is differentiable at x = x0. Then the instantaneous rate of change of y = f(x) with respect to x at x0 is the value of the derivative of f at x0. That is

Instantaneous Rate of Change = f'(x0) =

Average and Instantaneous Rate of Change

Ex.13 Find the rate at which the function y = x2 sin x is changing with respect to x when x =
Ex.13 Find the rate at which the function y = x2 sin x is changing with respect to x when x =.
.

For any x, the instantaneous rate of change in the derivative,

Sol.

Ex.13 Find the rate at which the function y = x2 sin x is changing with respect to x when x =.

The derivative of y = x2 sin x is

f'(x) = 2x sin x + x2 cos x

Evaluate at x = π:

f'(π) = 2π sin π + π2 cos π

Since sin π = 0 and cos π = -1,

f'(π) = 0 + π2(-1) = -π2

The negative sign indicates that when x = π, the function is decreasing at the rate of

Ex.13 Find the rate at which the function y = x2 sin x is changing with respect to x when x =.
units of y for each one-unit increase in x.

Ex.13 Find the rate at which the function y = x2 sin x is changing with respect to x when x =.

Example comparing average and instantaneous rates

Ex.14 Let f(x) = x2 - 4x + 7.

(a) Find the instantaneous rate of change of f at x = 3.

(b) Find the average rate of change of f with respect to

x between x = 3 and 5.

Sol.

Ex.14 Let f(x) = x2 - 4x + 7.

(a) The derivative of the function is

f'(x) = 2x - 4

Thus, the instantaneous rate of change of f at x = 3 is

f'(3) = 2(3) - 4 = 2

The tangent line at x = 3 has slope 2.

(b) The change in f from x = 3 to x = 5 is

f(5) - f(3) = [52 - 4(5) + 7] - [32 - 4(3) + 7] = 8

Thus, the average rate of change is

Ex.14 Let f(x) = x2 - 4x + 7.

The slope of the secant line joining the points (3, f(3)) and (5, f(5)) is 4.

Derivability Over an Interval

Definition : A function f is differentiable at a if f'(a) exists. It is differentiable on an open interval (a, b) if it is differentiable at every number in the interval.

Derivability Over an Interval : f(x) is said to be derivable over an interval if it is derivable at each and every point of the interval. f(x) is said to be derivable over the closed interval [a, b] if :

  1. for the endpoints a and b, the one-sided derivatives f'(a+) and f'(b-) exist, and
  2. for any point c with a < c < b, the left-hand and right-hand derivatives f'(c-) and f'(c+) exist and are equal.

How Can a Function Fail to Be Differentiable?

There are three common ways a function may fail to be differentiable at a point:

  • If the graph has a corner or cusp at the point (for example, y = |x| at x = 0); then the left and right derivatives are different and no tangent exists there.
  • If the function is discontinuous at the point (for example, a jump discontinuity), then it cannot be differentiable there.
  • If the tangent becomes vertical at the point (a vertical tangent), so that the derivative tends to ±∞.

How Can a Function Fail to Be Differentiable?

How Can a Function Fail to Be Differentiable?

How Can a Function Fail to Be Differentiable?

How Can a Function Fail to Be Differentiable?

Right-hand and Left-hand Derivatives

By definition:

f'(a) =

Right-hand and Left-hand Derivatives

(i) The right-hand derivative of f at x = a, denoted by f'+(a), is defined by:

f'+(a) =

Right-hand and Left-hand Derivatives
, provided the limit exists and is finite.

(ii) The left-hand derivative of f at x = a, denoted by f'-(a), is defined by:

f'-(a) =

Right-hand and Left-hand Derivatives
, provided the limit exists and is finite.

We also write f'+(a) = f'(a+) and f'-(a) = f'(a-). The derivative f'(a) exists if and only if these one-sided derivatives exist and are equal.

Ex.20 If a function f is defined by f(x) =
Ex.20 If a function f is defined by f(x) = show that f is continuous but not derivable at x = 0
show that f is continuous but not derivable at x = 0

Sol.

Compute the right-hand and left-hand limits at 0:

f(0 + 0) =

Ex.20 If a function f is defined by f(x) = show that f is continuous but not derivable at x = 0
= 0

f(0 - 0) =

Ex.20 If a function f is defined by f(x) = show that f is continuous but not derivable at x = 0
= 0

Also f(0) = 0. Therefore

f(0 + 0) = f(0 - 0) = f(0) ⇒ f is continuous at x = 0.

Now compute the one-sided derivatives:

f'(0 + 0) =

Ex.20 If a function f is defined by f(x) = show that f is continuous but not derivable at x = 0
= 1

f'(0 - 0) =

Ex.20 If a function f is defined by f(x) = show that f is continuous but not derivable at x = 0
= 0

Since f'(0 + 0) ≠ f'(0 - 0), the derivative f'(0) does not exist; thus f is not differentiable at x = 0.

Ex.20 If a function f is defined by f(x) = show that f is continuous but not derivable at x = 0

Ex.20 If a function f is defined by f(x) = show that f is continuous but not derivable at x = 0

Ex.21 A function f(x) is such that
Ex.21 A function f(x) is such that, if it exists.
, if it exists.

Sol.

Given that =

Ex.21 A function f(x) is such that, if it exists.

Ex.21 A function f(x) is such that, if it exists.

Ex.21 A function f(x) is such that, if it exists.

Ex.21 A function f(x) is such that, if it exists.

Ex.22 Let f be differentiable at x = a and let f(a) ≠ 0. Evaluate
Ex.22 Let f be differentiable at x = a and let f(a) ≠ 0. Evaluate

Sol.

l =

Ex.22 Let f be differentiable at x = a and let f(a) ≠ 0. Evaluate
(1 form)

l =

Ex.22 Let f be differentiable at x = a and let f(a) ≠ 0. Evaluate
(put n = 1/h)

Ex.23 Let f : R → R satisfying
Ex.23 Let f : R → R satisfying then show f(x) is differentiable at x = 0.
then show f(x) is differentiable at x = 0.

Sol.

Since,

Ex.23 Let f : R → R satisfying then show f(x) is differentiable at x = 0.
we get f(0) = 0 ...(i)

Ex.23 Let f : R → R satisfying then show f(x) is differentiable at x = 0.
....(ii) {f(0) = 0 from (i)}

Now,

Ex.23 Let f : R → R satisfying then show f(x) is differentiable at x = 0.
→ 0 ...(iii) {using the Squeeze (Cauchy) theorem}

From (ii) and (iii), we get f'(0) = 0. Therefore f(x) is differentiable at x = 0.

Ex.23 Let f : R → R satisfying then show f(x) is differentiable at x = 0.

F. Operations on Differentiable Functions

1. If f(x) and g(x) are differentiable at x = a then the functions f(x) + g(x), f(x) - g(x), and f(x)·g(x) are differentiable at x = a. If g(a) ≠ 0 then f(x)/g(x) is differentiable at x = a.

If f and g are differentiable functions, then their product fg is differentiable. Proof:

Let a be a number in the domain of fg. By the definition of the product of two functions we have

(fg)(a) = f(a) g(a)

(fg)(a + t) = f(a + t) g(a + t)

Hence

(fg)'(a) =

F. Operations on Differentiable Functions

The following algebraic manipulation will enable us to put the above fraction into a form in which we can see its limit:

f(a + t) g(a + t) - f(a) g(a) = f(a + t) g(a + t) - f(a) g(a + t) + f(a) g(a + t) - f(a) g(a)

= [f(a + t) - f(a)] g(a + t) + [g(a + t) - g(a)] f(a)

Thus

(fg)'(a) =

F. Operations on Differentiable Functions

The limit of a sum is the sum of the limits. Moreover, f'(a) and g'(a) exist by hypothesis. Because g is differentiable at a, it is continuous there, so

F. Operations on Differentiable Functions
= g(a). We conclude that

(fg)'(a) =

F. Operations on Differentiable Functions

= f'(a) g(a) + g'(a) f(a) = (f' g + g' f)(a).

2. If f(x) is differentiable at x = a and g(x) is not differentiable at x = a, then the product F(x) = f(x)·g(x) can still be differentiable at x = a. Example: f(x) = x and g(x) =

F. Operations on Differentiable Functions
.

3. If f(x) and g(x) are both not differentiable at x = a, the product F(x) = f(x)·g(x) can still be differentiable at x = a. Example: f(x) =

F. Operations on Differentiable Functions
and g(x) =
F. Operations on Differentiable Functions
.

4. If f(x) and g(x) are both non-differentiable at x = a then the sum F(x) = f(x) + g(x) may be differentiable. Example: f(x) =

F. Operations on Differentiable Functions
and g(x) = -
F. Operations on Differentiable Functions
.

5. If f(x) is differentiable at x = a, then f'(x) is not necessarily continuous at x = a. Example: f(x) =

F. Operations on Differentiable Functions
.

G. Functional Equations Involving Differentiability

Ex.24 Let f(xy) = x f(y) + y f(x) for all x,
Ex.24 Let f(xy) = x f(y) + y f(x) for all x, and f(x) be differentiable in (0, ∞) then determine f(x).
and f(x) be differentiable in (0, ∞) then determine f(x).

Given f(xy)= x f(y) + y f(x)

Sol. Replacing x by 1 and y by x then we get x f(1) = 0

Ex.24 Let f(xy) = x f(y) + y f(x) for all x, and f(x) be differentiable in (0, ∞) then determine f(x).

Ex.24 Let f(xy) = x f(y) + y f(x) for all x, and f(x) be differentiable in (0, ∞) then determine f(x).

Ex.24 Let f(xy) = x f(y) + y f(x) for all x, and f(x) be differentiable in (0, ∞) then determine f(x).

Ex.24 Let f(xy) = x f(y) + y f(x) for all x, and f(x) be differentiable in (0, ∞) then determine f(x).

Ex.24 Let f(xy) = x f(y) + y f(x) for all x, and f(x) be differentiable in (0, ∞) then determine f(x).

Ex.24 Let f(xy) = x f(y) + y f(x) for all x, and f(x) be differentiable in (0, ∞) then determine f(x).

On integrating with respect to x and taking limits from 1 to x, we obtain

f(x)/x - f(1)/1 = f'(1) (ln x - ln 1)

Ex.24 Let f(xy) = x f(y) + y f(x) for all x, and f(x) be differentiable in (0, ∞) then determine f(x).

Since f(1) = 0, we get f(x) = f'(1) (x ln x).

Alternative Method :

Differentiate both sides of f(xy) = x f(y) + y f(x) with respect to x, treating y as constant. Then f'(xy)·y = f(y) + y f'(x).

Putting y = 1 gives a relation that leads, on integrating and using f(1) = 0, to

f(x) = f'(1) (x ln x).

Ex.25 If
Ex.25 If and f`(1) = e, determine f(x).
and f'(1) = e, determine f(x).

Sol.

Given e-xy f(xy) = e-x f(x) + e-y f(y) ....(1)

Putting x = y = 1 in (1), we get f(1) = 0 ...(2)

Ex.25 If and f`(1) = e, determine f(x).

Ex.25 If and f`(1) = e, determine f(x).

Ex.25 If and f`(1) = e, determine f(x).

Ex.25 If and f`(1) = e, determine f(x).

Ex.25 If and f`(1) = e, determine f(x).

Ex.25 If and f`(1) = e, determine f(x).

Ex.25 If and f`(1) = e, determine f(x).

Ex.25 If and f`(1) = e, determine f(x).

On integrating we obtain e-x f(x) = ln x + C. Using x = 1 and f(1) = 0, we find C = 0.

Therefore f(x) = ex ln x.

Ex.26 Let f be a function such that f(x + f(y)) = f(f(x)) + f(y) x, y
Ex.26 Let f be a function such that f(x + f(y)) = f(f(x)) + f(y) x, y where ε > 0, then determine f``(x) and f(x).
where ε > 0, then determine f''(x) and f(x).

Sol.

Given f(x + f(y)) = f(f(x)) + f(y) .....(1)

Put x = y = 0 in (1): f(0 + f(0)) = f(f(0)) + f(0) ⇒ f(f(0)) = f(f(0)) + f(0)

Thus f(0) = 0 ...(2)

Ex.26 Let f be a function such that f(x + f(y)) = f(f(x)) + f(y) x, y where ε > 0, then determine f``(x) and f(x).

Ex.26 Let f be a function such that f(x + f(y)) = f(f(x)) + f(y) x, y where ε > 0, then determine f``(x) and f(x).

Ex.26 Let f be a function such that f(x + f(y)) = f(f(x)) + f(y) x, y where ε > 0, then determine f``(x) and f(x).

Integrating both sides with limits 0 to x yields f(x) = x. Therefore f'(x) = 1 and f''(x) = 0.

[ IMG_83 ]

Optional brief summary

Differentiability is the existence of a finite tangent slope (derivative) at a point. The derivative represents the instantaneous rate of change. Functions fail to be differentiable at corners, discontinuities, or vertical tangents. One-sided derivatives decide differentiability at a point. Differentiable functions enjoy standard algebraic rules (sum, product, quotient) and these rules are useful in solving functional equations that involve differentiable functions.

The document Differentiability of a Function and Rate of Change is a part of the JEE Course Mathematics (Maths) Class 12.
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FAQs on Differentiability of a Function and Rate of Change

1. What is the difference between derivability and differentiability?
Ans. Derivability refers to the ability of a function to have a derivative at a particular point, while differentiability refers to the ability of a function to have a derivative at every point in its domain. In other words, a function is derivable at a point if it has a derivative at that point, whereas a function is differentiable if it has a derivative at every point in its domain.
2. How are derivability and differentiability related to the rate of change of a function?
Ans. Derivability and differentiability are closely related to the rate of change of a function. The derivative of a function represents the instantaneous rate of change of that function at a specific point. If a function is derivable or differentiable at a point, it means that the rate of change of the function is well-defined and can be calculated using the derivative.
3. Can a function be differentiable but not derivable?
Ans. No, a function cannot be differentiable but not derivable. If a function is differentiable at a point, it implies that the function is also derivable at that point. Differentiability implies derivability, but not vice versa.
4. What does it mean for a function to be differentiable over an interval?
Ans. A function is said to be differentiable over an interval if it has a derivative at every point within that interval. This means that the function has a well-defined rate of change at every point in the interval, allowing us to calculate the slope of the function's tangent line at any point within the interval.
5. Can a function be differentiable over an interval but not continuous?
Ans. Yes, a function can be differentiable over an interval even if it is not continuous. Differentiability only requires the existence of a derivative at each point in the interval, while continuity requires the function to be uninterrupted and without any jumps or holes. Therefore, a function can have a derivative at every point within an interval without being continuous.
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