What is Continuity in Functions?

Continuity and Differentiability 2025 ( Maths Continuity and Differentiability )

Jaya Sharma
Updated on Aug 14, 2025 12:08 IST

By Jaya Sharma, Assistant Manager - Content

Continuity describes the behaviour of functions. A continuous function does not have any jumps at point c. This function does not have any holes in the graph, and it does not approach infinity at c. Continuity allows functions to find maxima and minima. For any function to be continuous, it will have to fulfil three conditions that have been mentioned below.  Students need to thoroughly go through the continuity and differentiability notes to perforn well in the exams. Once completed, start practising the NCERT solutions of the Continuity and Differentiability chapter.

Table of content
  • Conditions For a Continuous Function
  • Continuity Related Theorems
  • What is Continuity on An Interval?
  • What is Logarithmic Differentiation?
  • What is the Importance of Continuity?
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Conditions For a Continuous Function

A function f will be continuous at a point c within its domain if it follows three conditions as mentioned below:

  1. Function is defined at point c, i.e. f(c) is defined
  2. Limit exists at c, i.e.                lim        x c                f ( x )           exists.   
  3. Limit is equal to value of the function                lim        x c                f ( x )      =      f ( c )   
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Continuity Related Theorems

CBSE board may ask theorem-based direct questions to assess the knowledge base of students. Continuity has several theorems associated with it, including the following:

1. Intermediate Value Theorem (IVT)

Suppose a function f is continuous on closed interval [a,b] and N is any number between f(a) and f(b). In this case, at least one number c in [a,b] will exist in a way that f(c) = N.

The theorem guarantees that a continuous function on the closed interval takes on each intermediate value between function values at the endpoints. 

parametric equations

2. Extreme Value Theorem (EVT)

Suppose there is a function f which is continuous on closed interval [a,b]. In this case, f will attain both maximum and minimum value on that interval. EVT ensures that a continuous function on closed interval has both global maximum and global minimum. 

3. Bolzano's Theorem

Say there is a continuous function f on closed interval [a,b] and f(a) and f(b) both have opposite signs (f(a)⋅f(b)<0). In this case, there will be at least one number c in (a,b) such that f(c) = 0. This theorem is a special case of the Intermediate Value Theorem. It is used for proving the existence of roots of continuous functions.

4. Uniform Continuity Theorem

If function f is continuous on closed interval [a,b], then f is uniformly continuous on [a,b]. Uniform function is stronger condition than continuity. It is important in advanced analysis and study of function spaces.

5. Continuity of Composite Function

Say there is a continuous function f at point c and g is continuous at f(c); in this case, the composite function g∘f is continuous at c. This theorem confirms that the composition of continuous functions will also be continuous. This is useful for analysing complex functions.

6. Continuity of Inverse Functions

Suppose a function f is both continuous and bijective on an interval. In this case, the inverse of this function         f             1            is also continuous. This theorem confirms that the inverse of a continuous and bijective function will also be continuous. 

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What is Continuity on An Interval?

The NEET exam or JEE Main exam will ask problem-based questions on the continuity on interval. A function is continuous on an interval if it remains continuous at every point within that interval. Some of the examples of these functions include the following:

  1. Polynomial functions: These are continuous everywhere. For example,         f      (      x      )      =             x        2         is continuous for every real number x.
  2. Rational Functions: These are continuous everywhere except for the points where denominator is zero. For instance,         f      (      x      )      =             1        x          is continuous for all x ≠0.
  3. Trigonometric Functions: Sin(x) and Cos(x) are continuous everywhere.

 

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What is Logarithmic Differentiation?

Logarithmic differentiation is a technique which is used for differentiating functions that are complex products, quotients or powers of other functions. This method takes the natural logarithm of function before differentiating, which makes it a very simple differentiation process. Let us take a look at the steps for logarithmic differentiation since questions based on this will be asked in IIT JAM exam and IISER entrance exam.

  1. Start with function y = f(x) that you need to differentiate
  2. Take natural logarithm of both sides ln(y) = ln(f(x))
  3. Differentiate both the sides of equation with respect to x. Do remember that y is a function of x. Due to this, you will need to use the chain rule on the left side.
  4. Derivative of ln(y) with respect to x is                1        y                       d y        d x        
  5. Derivative of ln (f(x)) with respect to x is                f        ( x )                  f        ( x )        
  6. Now, once we have differentiated, let us solve for         d y      d x    by multiplying y on both the sides.

 

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What is the Importance of Continuity?

Let us understand the importance of continuity:

  • A continuous function behaves in a predictable manner without any jumps, breaks or any other erratic behaviour in the graph of the function. Due to this predictability, accurate modelling of real-world phenomena is possible.
  • Many theorems like Intermediate Value Theorem and the Extreme Value Theorem depend on concept of continuity. 
  • Intermediate Value Theorem depends on continuity for determining roots of equations and proving existence of solutions.
  • In engineering, continuous functions are used for modelling motion, growth, decay as well as other dynamic processes. For instance, the position of moving objects is described using a continuous function of time.
  • Continuity is essential for optimisation problems in the fields of economics and operations. Continuous functions help in finding maxima and minima. 
  • Many numerical methods depend on the continuity of functions to approximate solutions to equations and integrals. Continuous functions can be easily approximated and analyzed using computational techniques.

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