
How to Identify Monotonic Increasing and Decreasing Functions Using Derivatives and Interval Method
In this article, we would be discussing the Increasing and Decreasing Functions. But before we proceed with it, let us discuss what a Function is. A Function is called a relation between the Input and the Output in a way that each Input is related to exactly one Output.
Functions can either increase, decrease or remain constant for intervals throughout their entire domain. They are continuous and differentiable in the intervals given. An interval defined as a continuous or connected portion on the real line.
Increasing Decreasing Function is one of the most used Applications of Derivatives. Derivatives are used for identifying if the given Function is Increasing or Decreasing in a specific interval.
You would know that if something is Increasing, it is moving upwards and if something is Decreasing it is moving downwards. Therefore, if you talk graphically if the graph of the Function is going upwards, then it is called an Increasing Function. Similarly, if the graph is going down then it is called a Decreasing Function.
Increasing Decreasing Functions
Consider the following diagram:
(Image will be uploaded soon)
A Function is called an Increasing Function if the value of y increases with the increase in the value of x. As you can see from the above figure that at the right of the origin, the curve is moving upwards as you go to the right, hence, it is called an Increasing Function.
A Function is called a Decreasing Function if the value of y decreases with the increase in the value of x. As above, on the left of the origin, the curve is moving downwards if you move from left to right.
Increasing Function Definition
Here is the definition of a Function that is Increasing on an interval.
Consider a Function y = f(x)
The Function is Increasing over an interval, if for each x1 and x2 in the interval, x1 < x2, and f( x1) ≤ f(x2).
(Image will be uploaded soon)
It is a strictly Increasing Function over an interval, if for each x1 and x2 in the interval, x1 < x2, and
f( x1) < f(x2)
You can see that there is a difference in the symbols in both the above Increasing Functions.
Decreasing Function Definition
Consider a Function y = f(x)
This Function is Decreasing over an interval , if for each x1 and x2 in the interval, x1 < x2, and
f( x1) ≥ f(x2)
(Image will be uploaded soon)
A Function is a strictly Decreasing Function over an interval, if for each x1 and x2 in the interval, x1 < x2, and f( x1) > f(x2).
You can notice that there is a difference in the symbols in both the above Decreasing Functions.
Monotonic Functions
The Increasing or Decreasing behaviour of the Functions is referred to as Monotonicity of the Function.
A Monotonic Function is referred to as any given Function that follows one of the four cases mentioned above. Monotonic generally has two terms in it. Mono refers to one and tonic refers to tone. Both these words together mean “in one tone”. When you say that a Function is non-Decreasing, does it mean that it is Increasing? The answer is no. It can also mean that the Function does not vary at all. In simpler words, the Function is having a constant value for a particular interval. Make sure to not confuse non-Decreasing with Increasing.
Increasing and Decreasing Functions Examples
Now, let us take a look at the example of Increasing Function and Decreasing Function. The concepts that are explained above about the Increasing Functions and the Decreasing Functions can be represented in a more compact form.
Increasing or Non-Decreasing
A Function y = f(x) is called Increasing or non-Decreasing Function on the interval (a, b) if
∀ x1, x2 ∈ (a, b): x1 < x2
⇒f (x1) ≤ f(x2)
(Image will be uploaded soon)
Strictly Increasing
A Function y = f(x) is called strictly Increasing Function on the interval (a, b) if:
∀ x1, x2 ∈ (a, b): x1 < x2
⇒f(x1) < f(x2)
(Image will be uploaded soon)
Decreasing or Non-Increasing Function
A Function y = f(x) is called Decreasing or non-Increasing Function on the interval (a, b) if:
∀ x1, x2 ∈(a, b): x1 < x2
⇒f(x1) ≥ f(x2)
(Image will be uploaded soon)
Strictly Decreasing Function
A Function y = f(x) is called strictly Decreasing Function on the interval (a, b) if:
∀ x1, x2 ∈ (a, b): x1 <x2
⇒f(x1) > f(x2)
(Image will be uploaded soon)
If the given Function f(x) is differentiable on the interval (a,b) and belongs to any one of the four considered types, that is, it is either Increasing, strictly Increasing, Decreasing, or strictly Decreasing, the Function is called Monotonic Function on this particular interval.
Monotonic Function
Monotonically Increasing Functions
The graphs of both the Exponential and the Logarithmic Functions are important. From these graphs you can see a general rule:
If a>1, then both of these Functions are Monotonically Increasing:
f(x)=ax
g(x)=loga(x)
Monotonically Increasing Function Example
Consider the given two graphs:
(Image will be uploaded soon)
The red graph is denoted by f(x) = 3x and the green graph is denoted by g(x) = 3x+1.
When x is Increasing, f(x) is also Increasing. Hence,
g(x) = 3x+1
= 3 . 3x
= 3 f(x)
Hence, g(x) is a Monotonically Increasing Function.
Monotonically Decreasing Function
A Monotonically Decreasing Function is basically the opposite of Monotonically Increasing Functions.
If f(x) is a Monotonically Increasing Function over a given interval, then −f(x) is said to be a Monotonically Decreasing Function over that same interval, and vice-versa.
Monotonically Decreasing Function Example
Consider the following graph where f(x) = -5x.
(Image will be uploaded soon)
As you can see that the Function 5x is Monotonically Increasing here, hence, f(x) = -5x should be Monotonically Decreasing.
In the graph, when 5x increases, f(x) decreases.
Tips to Study Increasing and Decreasing Functions and Monotonicity
After studying the above content, you might have understood the Functions, Increasing Functions, Decreasing Functions and Monotonic Functions with a lot of examples of each type.
Students are advised to practice a lot of questions to test their knowledge and understanding after the conceptual clarity that they've got after studying the study material.
When it comes to a practical subject like Mathematics, the only thing that can help you perform well is ample practice.
Let's understand some of the tips and tricks to crack the best way to prepare for this subject.
Understand your Study Habits
Since every student has a different study habit and pattern, there cannot be one way that would work for everyone. Hence, students are advised to closely observe and monitor their study habits. Another important point that you shall remember is that you don’t have to always match up with others, your friend might sit and study for 3 hours straight whereas you might need a short break after an hour or so. Understand that both the cases are normal and it depends on you on how you have to plan things for yourself.
Prepare a Realistic Schedule
Preparing a schedule that is realistic, time-based and feasible is a skill that students shall know. It can help you master the technique of managing your time and being the most productive at most times. Students often make some unrealistic schedules that cannot be completed and it does nothing other than demotivate you. So, it is advisable to observe your study habits and then, make a proper plan and make sure to stick to it.
Mind Mapping
One more technique that should be used to keep track of your preparation is making a mind map. It is an integral part of the learning process. This helps the students to know and understand where to put effort and how. Students should follow a goal-oriented approach and make sure to complete the targets at all times.
Keep a Track
Keeping a track of topics that you have prepared and the ones which are left is an important habit that the students shall possess. It helps you to keep a check on what further actions should be taken to move ahead. Apart from this, you shall also be patient and trust the process. If you unnecessarily stress yourself, nothing would be achieved and you will only decrease your productivity levels.
Revision Technique
Revision should be done according to your study habits and not according to what others have been following. The two most effective revision techniques that you may surely do before the examinations are 4R's technique which includes the reading of important topics, revision of notes, reviewing of mock tests and re-reading of difficult topics and the other one is the 3R's technique which includes revising, reciting and review. Both of them are equally important and with this, success is guaranteed.
Pace
The pace is an important factor in the learning process. You shall understand that being too stressed or not bothered at all, both of these things are extremely challenging and bad for you, as students. Hence, you are advised to follow a midway approach towards it which means that you shall be able to maintain a good balance.
Practice
Practice is the most vital step as practising makes your preparation more interesting and fulfilling. It shall include three steps: thorough reading of the study material, going through the notes over and over again and attempting a set of questions regularly. Once you're done with it, the results will amaze you!
FAQs on Increasing and Decreasing Functions and Monotonicity Explained
1. What is an increasing function?
An increasing function is a function where the output values rise as the input values increase. Formally, a function f(x) is increasing on an interval if for any x₁ < x₂, we have f(x₁) ≤ f(x₂).
- If f(x₁) < f(x₂), it is strictly increasing.
- On a graph, it moves upward from left to right.
- Example: f(x) = 2x is increasing for all real numbers.
2. What is a decreasing function?
A decreasing function is a function where the output values fall as the input values increase. Formally, f(x) is decreasing on an interval if for any x₁ < x₂, f(x₁) ≥ f(x₂).
- If f(x₁) > f(x₂), it is strictly decreasing.
- On a graph, it moves downward from left to right.
- Example: f(x) = -3x is decreasing for all real numbers.
3. What is monotonicity in functions?
Monotonicity refers to whether a function is entirely increasing or entirely decreasing on a given interval. A function is monotonic if it is either increasing or decreasing throughout that interval.
- Increasing monotonic function: always rising.
- Decreasing monotonic function: always falling.
- Constant functions are also considered monotonic.
4. How do you determine if a function is increasing or decreasing?
You determine if a function is increasing or decreasing by checking the sign of its first derivative.
- If f′(x) > 0 on an interval, the function is increasing there.
- If f′(x) < 0 on an interval, the function is decreasing there.
- If f′(x) = 0, the function may have a critical point.
5. What is the first derivative test for increasing and decreasing functions?
The first derivative test uses the sign of f′(x) to determine where a function increases or decreases.
- Find f′(x).
- Set f′(x) = 0 to find critical points.
- Test intervals around critical points.
- If f′(x) changes from positive to negative, there is a local maximum.
- If f′(x) changes from negative to positive, there is a local minimum.
6. What is the difference between strictly increasing and non-decreasing functions?
A strictly increasing function satisfies f(x₁) < f(x₂) for x₁ < x₂, while a non-decreasing function satisfies f(x₁) ≤ f(x₂).
- Strictly increasing: no flat (constant) sections.
- Non-decreasing: may have constant intervals.
- Example: f(x) = x³ is strictly increasing for all real x.
7. Can a function be increasing and decreasing at the same time?
A function cannot be increasing and decreasing on the same interval, but it can be increasing on one interval and decreasing on another.
- Example: f(x) = x² decreases on (-∞, 0).
- It increases on (0, ∞).
- The point x = 0 is a turning point (minimum).
8. What are critical points in increasing and decreasing functions?
Critical points are values of x where f′(x) = 0 or where the derivative does not exist.
- They help divide the graph into intervals of increase or decrease.
- They may correspond to local maxima, minima, or saddle points.
- Example: For f(x) = x², the critical point is x = 0.
9. How do you find intervals of increase and decrease?
To find intervals of increase and decrease, analyze the sign of the first derivative.
- Step 1: Compute f′(x).
- Step 2: Solve f′(x) = 0 to find critical numbers.
- Step 3: Test the sign of f′(x) in each interval.
- Positive derivative → increasing interval.
- Negative derivative → decreasing interval.
10. Why is monotonicity important in calculus?
Monotonicity is important because it helps identify maxima, minima, and the overall behavior of a function.
- Used to locate turning points.
- Helps determine whether a function has an inverse.
- Supports optimization problems in real-life applications.
- Essential in curve sketching and analysis.





















