In Calculus, differentiability lies at the heart of understanding smoothness in functions. A function is deemed differentiable at a point if it has a well-defined tangent line at that point. This concept enables us to analyze rates of change, slopes, and local behavior with precision. Key to unlocking deeper insights into calculus, differentiability support various applications in physics, engineering, and economics.
In this article, we'll explore what it means for a function to be "differentiable" in simple terms. We'll learn how to check if a function is differentiable using easy rules, understand why limits are important in this idea, and discover some interesting facts about it. So, get ready to grasp the basics of differentiability and its significance in a straightforward and understandable way!
In Calculus, a function f(x) is considered differentiable at a point x = c if its derivative exists at that point. This involve the limit of the difference quotient \frac{f(x)-f(c)}{x-c} approaching a finite value as x approaches c. Graphically, differentiability implies a smooth, continuous curve with a well-defined tangent line at (c, f(c)). This property is fundamental in analyzing rates of change and local behavior of functions, playing a vital role in various fields such as physics, engineering, and economics.
The right-hand derivative of f(x) at x = a denoted by Rf'(a) or f'(a+) is defined as:
, provided the limit exists and is finite. (h > 0).
The left-hand derivative of f(x) at x = a denoted by Lf'(a) or f'(a–) is defined as
, provided the limit exists and is finite. (h > 0)
Hence f(x) is said to be derivable or differentiable at x = a.
If Lf'(a) = Rf'(a) = finite quantity
and it is denoted by f’(a); Where
f'(a) = Lf'(a) = Rf'(a) and it is called the derivative or differential coefficient of f(x) at x = a.
Note: If the function y = f(x) is differentiable at x = a, then a unique non-vertical tangent can be drawn to the curve y = f(x) at the point P (a, f(a)) and f'(a) represent the slope of the tangent at point P.
A function f(x) is said to be differentiable over an open interval (a, b) if it is differentiable at each & every point of the open interval (a, b)
f(x) said to be differentiable over the closed interval [a, b] if,
(i) f(x)is differentiable in (a, b), and
(ii) for the points x = a and x = b, f'(a+) & f' (b–) exists finitely.
Note: All polynomials, Trigonometry, logarithmic and exponential functions are continuous and differentiable in their domain.
If a function f(x) is derivable at x = a, then f(x) is continuous at x = a.
Note:
If f is continuous from the right and the RHL of f'(a) at x = a exists, then it is equal to the RHD of f(x) at x = a.
If f is continuous from the left and the LHL of f'(x) at x = a exists, then it is equal to the LHD of f(x) at x = a.
Hence if f(x) is continuous at x=a and exist, then it is equal to f'(a)
f'(a) =
Differentiability formulas are fundamental tools in calculus for determining the derivative of a function. Some common formulas include:
Ex:
Ex: f(x) = 100 ⇒ f'(x) = 0
Ex: f(x) = sin + ⇒ f'(x) = cos x + 4 x^3
Ex: f(x) = x cos x ⇒ f'(x) = cos x + x(– sin x)
⇒
Ex: f(x) = ⇒ f'(x) =
These formulas provide a systematic way to find the derivative of various types of functions and are essential tools for solving problems in calculus.
This table outlines the differentiability properties of functions f(x) and g(x) and their combinations f(x) ± g(x) and f(x).g(x).
This table helps in understanding how the differentiability of functions f(x) and g(x) relates to the differentiability of their sum, difference, and product. It provides a clear overview of the possible outcomes when combining differentiable and non-differentiable functions.
(i) If the function y = f(x) is differentiable at x = a, then a unique non vertical tangent can be drawn to the curve y = f(x) at the point P(a, f(a)) and f’(a) represent the slope of the tangent at point.
(ii) If a function f(x) does not have a unique tangent (p and q are finite but unequal), then f is continuous at x = a, its geometrically implies a corner at x = a.
Ex. f(x) = |x| is continuous but not differentiable at x = 0 and there is corner at x = 0
(does not have unique tangent, has sharp corner at x = 0)
(when x = 0; p = 1 and q = –1 )
(iii) If one of p and q tends to ∞ and other tends to –∞, then their will be a cusp at x = a where p = Rf’(a) and q = Lf’(a)
Example 1: f(x)= is continuous but not differentiable at x = 0 and there is cusp at x = 0
(has a vertical tangent, cusp a + x = 0)
(x = 0 then p→ ∞ and q → – ∞)
Example 2: f(x)=] is continuous but not differentiable at x = 0 because Rf’(0) → ∞ and Lf’(0) → ∞
(has a vertical tangent but does not have corner)
Note: Corner/cusp/vertical tangent ⇒ Non differentiable
Non differentiable corner/cusp/vertical tangent.
Determining the differentiability of a function involves assessing whether the function meets the necessary conditions for differentiability at a given point or interval. Here's a step-by-step guide:
or
Evaluate the limit for a point x = c or for an interval. If the limit exists, it indicates the existence of a tangent line and hence differentiability.
By following these steps and considering the properties of the function and its graph, you can determine whether a function is differentiable at a given point or interval.
Problem 1: Determine whether the function f(x)= is differentiable at x = 2.
Solution:
Problem 2: Determine whether the function is differentiable at x = 0.
Solution:
Problem 3: Determine whether the function is differentiable at x = 1.
Solution:
For x ≤ 1: f'(x) = 2x
For x > 1: f'(x) = 2
⇒ f'(1–) = 2
⇒ f'(1+) = 2
Problem 4: Investigate the differentiability of the function f(x) = |x2 – 4| at x = 2.
Solution:
For x < –2: f'(x) = 2x
For –2 < x < 2: f'(x) = –2x
For x > 2: f'(x) = 2x
⇒ f'(2–) = –4
⇒ f'(2+) = 4
Problem 6: Check whether the function x is differentiable at x = 0.
Solution:
Problem 6: Determine the points of differentiability of the function
Solution:
Problem 7: Investigate the differentiability of the function at x = 1.
Solution:
As x = 1,
= 0
Problem 1: Determine whether the function f(x) = |x2 – 9| is differentiable at x = 3.
Problem 2: Check whether the function f(x)= is differentiable at x = 0.
Problem 3: Determine the points of differentiability of the function
Problem 4: Investigate the differentiability of the function f(x) = |x| + |x – 2| at x = 1.
(Session 2025 - 26)