Synchronization problems are the most intuitive LCM application:
We will explore classic scenarios like:
| Scenario | The 'Cycle' |
|---|---|
| Runners | Time for one full lap |
| Bells | Interval between rings |
| Traffic Lights | Seconds between green signals |
But this section ends with a twist.
A problem that is deliberately placed among LCM examples but actually requires HCF.
This final challenge tests whether you are:
Here's a scenario you might encounter in real life:
Two runners start at the same time from the same point on a circular track.
They keep running at their constant speeds, lap after lap.
Answer all three parts:
Let me build the model step by step.
Runner A completes one lap every minutes. So Runner A is at the starting point at:
Runner B completes one lap every minutes. So Runner B is at the starting point at:
We need the first POSITIVE time that appears in BOTH lists. Looking at the lists: the first common time is 80.
Mathematically: the meeting time must be a multiple of 16 AND a multiple of 20. The smallest such positive number is LCM(16, 20).
Runner A: Runner B:
Maybe you're wondering: "Why did we use LCM and not HCF?"
Let's test that idea. . If the answer was the HCF, it would mean the runners meet at minutes.
At :
HCF gives a factor of the cycle times, not a multiple.
The Rule: The meeting time must be a MULTIPLE (larger than or equal to both cycle times), not a factor (smaller than both).
Here is an extension of our synchronization problems — now with three events and the added challenge of converting to actual clock time.
Starting condition: All three bells ring together at 12:00 noon.
Two-part question:
Show your working for both parts.
Earlier we saw how runners meet at the starting point using multiples. This bell problem works the exact same way! We are looking for the next time all three cyclic events coincide.
Let's list out when each bell rings after noon:
The first positive time that appears in all three lists is 24 minutes.
Mathematically, we find LCM(6, 8, 12) by breaking them into their prime building blocks first:
Now, we combine the highest powers:
Clock time:
12:00 noon + 24 minutes = 12:24 PM.
Bell 1 (every 6 minutes):
The Formula:
The '+1' is because we include the starting ring at 12:00.
Bell 2 (every 8 minutes):
Bell 3 (every 12 minutes):
When both endpoints (12:00 and 12:24) are included, the count is:
If you forget the +1, you will undercount by 1.
This is the most important problem in this section. It appears among LCM examples, but looks can be deceiving.
This tests whether you're actually thinking about the problem structure — or just applying whatever operation the current section is about.
A class teacher wants to distribute 30 books and 28 notebooks to students such that:
What is the maximum number of students?
This is the textbook's deliberate trap. Let me show you why it is HCF, not LCM.
Suppose there are students. Each gets the same number of books and notebooks:
For this to be a whole number, must divide .
It is the same logic for the notebooks:
For this to be a whole number, must divide .
So, divides both and .
We want the MAXIMUM number of students .
Therefore, we need to find:
Let's compute the prime factorisation for both numbers:
Only common prime: 2 (min exponent = 1).
HCF = 2
Maximum 2 students.
Suppose we tried to use the LCM for this problem.
If there were 420 students, each would get:
You cannot give a fraction of a book to a student!
420 is LARGER than both 30 and 28, so it is impossible to divide 30 books among 420 students with whole-number results.
How do we decide between HCF and LCM? Ask yourself this Key Test:
Let's see how the same numbers can lead to different tools depending on the question:
Important Strategy: Never choose HCF or LCM based on which section you are reading. Always base it on what the problem actually asks.
Now that you have seen every problem type in this cluster, let's test whether you can classify a new problem correctly by mapping it to the complete framework.
A farmer has a field of length 360 m and width 240 m. He wants to divide it into the largest possible square plots.
Find:
Classify this problem (which pattern from CL-07 does it match?), solve it, and explain your reasoning.
This is a tiling problem — a variant of the 'maximum common measure' HCF pattern.
The field is 360 m long and 240 m wide. We want to divide it into square plots (all the same size), with nothing left over.
If each square has side length :
So must divide both 360 and 240. We want the LARGEST (largest possible square plots): HCF(360, 240).
To find the HCF of and , we first look at their prime factorisations:
Common primes with minimum exponents:
Now we calculate the total number of plots:
This is exactly the same pattern as the tank problem (maximum container capacity), the marching problem (maximum columns), and the burfi problem (maximum stack size).
The answer DIVIDES the given quantities, and we want the MAXIMUM such answer.
With this, you have seen all the HCF/LCM word problem patterns in Chapter 1. Let's look at the HCF patterns first:
Now, let's review the LCM patterns: