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Last Digits and Remainder using the Binomial Expansion

Last Digits and Remainder using the Binomial Expansion

Edited By Komal Miglani | Updated on Jul 02, 2025 08:01 PM IST

An expression with two terms is called the binomial expansion. In the case of higher degree expression, it is difficult to calculate it. In these cases, Binomial theorem can be used to calculate it manually. Binomial theorem is used for the expansion of a binomial expression with a higher degree. Binomial theorem is proved using the concept of mathematical induction. Apart from Mathematics, Binomial theorem is also used in statistical and financial data analysis.

Last Digits and Remainder using the Binomial Expansion
Last Digits and Remainder using the Binomial Expansion

This article is about some results on binomial theorem which falls under the broader category of Binomial Theorem and its applications. It is one of the important topics for competitive exams.

Binomial Theorem

Statement: If $n$ is any positive integer, then

$ (a + b)^n = \binom{n}{0} a^n + \binom{n}{1} a^{n - 1} b + \binom{n}{2} a^{n - 2} b^2 + \dots + \binom{n}{n - 1} a b^{n - 1} + \binom{n}{n} b^n $

Proof:

The proof is obtained by applying the principle of mathematical induction.

Let the given statement be:

$ P(n): (a + b)^n = \binom{n}{0} a^n + \binom{n}{1} a^{n-1} b + \binom{n}{2} a^{n-2} b^2 + \dots + \binom{n}{n-1} a b^{n-1} + \binom{n}{n} b^n $

For $ n = 1 $, we have:

$ P(1): (a + b)^1 = \binom{1}{0} a^1 + \binom{1}{1} b^1 = a + b $

Thus, $ P(1) $ is true.

Suppose $ P(k) $ is true for some positive integer $ k $, i.e.,

$ (a + b)^k = \binom{k}{0} a^k + \binom{k}{1} a^{k-1} b + \binom{k}{2} a^{k-2} b^2 + \dots + \binom{k}{k} b^k$

We shall prove that $ P(k + 1) $ is also true, i.e.,

$ (a + b)^{k + 1} = \binom{k+1}{0} a^{k+1} + \binom{k+1}{1} a^k b + \binom{k+1}{2} a^{k-1} b^2 + \dots + \binom{k+1}{k+1} b^{k+1} $

Now,

$ (a + b)^{k + 1} = (a + b)(a + b)^k $

$ = (a + b) \left[\binom{k}{0} a^k + \binom{k}{1} a^{k-1} b + \binom{k}{2} a^{k-2} b^2 + \dots + \binom{k}{k-1} a b^{k-1} + \binom{k}{k} b^k\right] $

[from (1)]

$ = \binom{k}{0} a^{k+1} + \binom{k}{1} a^k b + \binom{k}{2} a^{k-1} b^2 + \dots + \binom{k}{k-1} a^2 b^{k-1} + \binom{k}{k} a b^k $

$ + \binom{k}{0} a^k b + \binom{k}{1} a^{k-1} b^2 + \binom{k}{2} a^{k-2} b^3 + \dots + \binom{k}{k-1} a b^k + \binom{k}{k} b^{k+1} $

[by actual multiplication]

$ = \binom{k}{0} a^{k+1} + (\binom{k}{1} + \binom{k}{0}) a^k b + (\binom{k}{2} + \binom{k}{1}) a^{k-1} b^2 + \dots + (\binom{k}{k} + \binom{k}{k-1}) a b^k + \binom{k}{k} b^{k+1} $

[grouping like terms]

$ = \binom{k+1}{0} a^{k+1} + \binom{k+1}{1} a^k b + \binom{k+1}{2} a^{k-1} b^2 + \dots + \binom{k+1}{k} a b^k + \binom{k+1}{k+1} b^{k+1}$

(by using $ \binom{k+1}{0} = 1 $, $ \binom{k}{r} + \binom{k}{r-1} = \binom{k+1}{r} $, and $ \binom{k}{k} = 1 = \binom{k+1}{k+1} $)

Thus, it has been proved that $ P(k + 1) $ is true whenever $ P(k) $ is true. Therefore, by the principle of mathematical induction, $ P(n) $ is true for every positive integer $ n $.

Binomial Coefficient

The combination $\binom{n}{r}$ or ${ }^{\mathrm{n}} \mathrm{C}_{\mathrm{r}}$ occuring in the Binomial theorem is called a Binomial coefficient, where $\binom{n}{r}=C(n, r)={ }^n C_r=\frac{n!}{r!(n-r)!}$.

Theorems on Binomial Theorems

Theorem 1: $2 \leq\left(1+\frac{1}{n}\right)^n<3, \quad n \in \mathbb{N}$

Proof:

Expand, $\left(1+\frac{1}{n}\right)^n$ using binomial theorem

$\left(1+\frac{1}{n}\right)^n =1+n \frac{1}{n}+\frac{n(n-1)}{2!} \frac{1}{n^2}+\frac{n(n-1)(n-2)}{3!} \frac{1}{n^3}+\cdots+\frac{n(n-1)(n-2) \cdots[n-(n-1)]}{n!} \frac{1}{n^n} $

$=1+1+\frac{1}{2!}\left(1-\frac{1}{n}\right)+\frac{1}{3!}\left(1-\frac{1}{n}\right)\left(1-\frac{2}{n}\right)+\cdots+\frac{1}{n!}\left(1-\frac{1}{n}\right)\left(1-\frac{2}{n}\right) \cdots\left(1-\frac{n-1}{n}\right) $

$<1+1+\frac{1}{2!}+\frac{1}{3!}+\cdots+\frac{1}{n!} $

$<1+1+\frac{1}{2}+\frac{1}{2^2}+\frac{1}{2^3}+\cdots+\frac{1}{2^{n-1}}=1+1 \frac{\left\{1-\left(\frac{1}{2}\right)^n\right\}}{1-\frac{1}{2}}=1+2\left\{1-\left(\frac{1}{2}\right)^n\right\}=3-\frac{1}{2^{n-1}} $

Hence, from above

$2 \leq\left(3-\frac{1}{2^{n-1}}\right)<3, n \geq 1 $

$2 \leq \left(1+\frac{1}{n}\right)^n<3, n \geq 1 $

Theorem 2: $\left(\frac{n}{3}\right)^n<n!<\left(\frac{n}{2}\right)^n, n>6$

Summary

Binomial theorem is used for the expansion of a binomial expression with a higher degree. Understanding these theorems in binomial theorems will be helpful in solving complex problems in Binomial Theorem and related topics.

Recommend Video based on Last digits of Binomial Theorem:


Solved Examples based on the Last digits of Binomial Theorem

Example 1: If $y=(x)^{3 x}$ for $\mathrm{x}>2$, which of the following is true?

1) $y<(3 x)$ !

2) $y<x!$

3) $(3 x)!<(1.5 x)^{3 x}$

4) Both 1 and 3

Solution:

As we know, $\left(\frac{n}{3}\right)^n<n!<\left(\frac{n}{2}\right)^n$, this result valid for $n>6$

Let $n=3 x$

Hence, $x=\frac{n}{3}$ hence, $n>6$

Now, ${ }^y=\left(\frac{n}{3}\right)^n$

Hence,

$\left(\frac{n}{3}\right)^n<n!<\left(\frac{n}{2}\right)^n $

$ \text { or, } $

$ (x)^{3 x}<(3 x)!<(1.5 x)^{3 x} $

Hence, the answer is option 4.

Example 2: What is the value of an integer just less than $y=\left(\frac{101}{100}\right)^{100}$ ?

1) $0$

2) $1 $

3) $2 $

4) $3 $

Solution:

$2 \leq\left(1+\frac{1}{n}\right)^n<3, \quad n \in \mathbb{N} $

Now,

$y=\left(\frac{101}{100}\right)^{100} $

It can be written as $y=\left(1+\frac{1}{100}\right)^{100}$

hence, $2 \leq y<3$

Hence, the answer is option 3.

Example 3: Suppose $\sum_{r=0}^{2023} r^{22023} C_r=2023 \times \alpha \times 2^{2022}$ Then the value of $\alpha$ is

1) $1012 $

2) $2010 $

3) $1320 $

4) $1200 $

Solution:

$\sum_{r=0}^n \mathrm{r}^{2 n} C_r $

$ =\sum_{r=0}^n r^2 \cdot \frac{n}{r}{ }^{n-1} C_{r-1} $

$ =n \sum_{r=1}^n\left((r-1)^{n-1} C_{r-1}+{ }^{n-1} C_{r-1}\right) $

$ =n \sum_{r=2}^n(n-1)^{n-2} C_{r-2}+n \sum_{r=1}^n{ }^{n-1} C_{r-1} $

$=n(n-1)\left[2^{n-2}\right]+n\left[2^{n-1}\right] $

$=2023 \cdot 2022 \cdot 2^{2021}+2023 \cdot 2^{2022} $

$=2023 \cdot 2^{2021}[2022+2] $

$=2023 \cdot 2^{2021} \cdot 2024 $

$=2023 \cdot 1012 \cdot 2^{2022} \Rightarrow \alpha=1012 $

Hence, the answer is $1012$.

Example 4: The value of the natural numbers $\underline{n}$ such that the inequality $2^n>2 n+1$ is valid:

1) For $n \geq 3$

2) For $n<3$

3) For $m$

4) For any $n$


Solution:

Check through the options, the condition $2^n>2 n+1$ is valid for $n \geq 3$.

Hence, the answer is option (1).

Example 5: The greater of the two numbers $100^{300}$ and $300!$ is ....

1) $300!$

2) $200!$

3) Both of the above

4) None of the above

Solution:

For $n>6$,

$ \left(\frac{n}{3}\right)^n<n!<\left(\frac{n}{2}\right)^n$

$ \Rightarrow \quad\left(\frac{n}{3}\right)^n<n! $

Putting $n=300$

$\therefore(100)^{300}<300! $

$\text { i.e. } 300! $

Hence, the answer is option (1).

.

Frequently Asked Questions (FAQs)

1. What is the significance of studying last digits and remainders in the context of the Binomial Theorem?
Studying last digits and remainders using the Binomial Theorem is significant because it allows us to predict patterns in large numbers without performing full calculations. This is particularly useful in number theory, cryptography, and competitive mathematics, where we often need to find properties of very large numbers efficiently.
2. How does the Binomial Expansion help in finding the last digit of large powers?
The Binomial Expansion helps find the last digit of large powers by allowing us to focus on the terms that contribute to the last digit. Since the last digit of a sum depends only on the last digits of its terms, we can ignore higher-order terms and concentrate on the relevant ones, simplifying the calculation significantly.
3. Why do we often focus on the last few digits rather than the entire number when using the Binomial Theorem?
We focus on the last few digits because they exhibit cyclic patterns that are easier to predict and calculate. The higher-order digits often become too large to manage practically, while the last few digits contain enough information for many mathematical problems and applications.
4. What is the relationship between finding remainders and determining last digits?
Finding remainders and determining last digits are closely related. The last digit of a number is equivalent to its remainder when divided by 10. More generally, the last n digits of a number correspond to its remainder when divided by 10^n. This connection allows us to use remainder techniques to find last digits and vice versa.
5. How does the concept of modular arithmetic relate to finding last digits using the Binomial Expansion?
Modular arithmetic is fundamental to finding last digits using the Binomial Expansion. When we work with last digits, we're essentially performing calculations modulo 10 (or a power of 10). This allows us to simplify calculations by considering only the relevant remainders at each step of the expansion.
6. Can the Binomial Theorem be used to find patterns in the last digits of powers of a number?
Yes, the Binomial Theorem can be used to find patterns in the last digits of powers of a number. By expanding (a + b)^n and focusing on the terms that contribute to the last digit, we can often identify cyclic patterns that repeat as the exponent increases.
7. Why do some numbers have predictable last digit patterns in their powers while others don't?
Some numbers have predictable last digit patterns in their powers due to their properties when raised to different exponents modulo 10. Numbers like 5 and 6 have simple, short cycles, while others like 7 have longer, more complex cycles. The Binomial Expansion can help explain these patterns by showing how different terms contribute to the final result.
8. How does the base of the number system affect the analysis of last digits using the Binomial Theorem?
The base of the number system affects the analysis by changing the modulus we work with. In base 10, we typically work modulo 10 or its powers. In other bases, we would work with different moduli. The Binomial Theorem remains applicable, but the patterns and cycles we observe may change significantly.
9. What is the "lifting the exponent" technique, and how does it relate to the Binomial Expansion?
"Lifting the exponent" is a technique used to find the highest power of a prime factor in a binomial expansion. It relates to the Binomial Expansion by allowing us to determine the exact power of a prime factor in (a + b)^n without fully expanding the expression. This is particularly useful when dealing with remainders and last digits.
10. How can we use the Binomial Theorem to find the remainder when (a + b)^n is divided by (a + b)?
To find the remainder when (a + b)^n is divided by (a + b), we can use the Binomial Theorem to expand (a + b)^n and then apply the division algorithm. The key insight is that all terms except the first and last are divisible by (a + b), so the remainder will be a^n + b^n.
11. What is the role of Fermat's Little Theorem in simplifying calculations of last digits using the Binomial Expansion?
Fermat's Little Theorem states that if p is prime and a is not divisible by p, then a^(p-1) ≡ 1 (mod p). This theorem can significantly simplify calculations of last digits by allowing us to reduce large exponents modulo (p-1) when working with prime moduli, which is often the case when dealing with last digits.
12. How does the parity (odd or even) of the exponent in the Binomial Expansion affect the last digit of the result?
The parity of the exponent in the Binomial Expansion can significantly affect the last digit of the result. For odd exponents, both odd and even terms contribute to the last digit, while for even exponents, only even terms contribute. This often leads to different patterns in the last digits for odd and even powers.
13. What is the significance of the binomial coefficients in determining the last digit of a binomial expansion?
Binomial coefficients play a crucial role in determining the last digit of a binomial expansion. They determine the weight of each term in the expansion. When working modulo a number, some coefficients may become zero, simplifying the calculation. Understanding how these coefficients behave modulo different numbers is key to efficiently computing last digits.
14. How can we use the Binomial Theorem to find the last two digits of large powers?
To find the last two digits of large powers using the Binomial Theorem, we work modulo 100. We expand (a + b)^n, but only consider terms that could affect the last two digits. This often involves using properties of modular arithmetic and recognizing patterns in the expansion that repeat modulo 100.
15. What is the concept of "period" in the context of last digits, and how does the Binomial Theorem help in finding it?
The "period" in the context of last digits refers to the length of the repeating cycle of last digits as the exponent increases. The Binomial Theorem helps find this period by allowing us to express the expansion in terms of smaller powers, which can reveal cyclic patterns. Understanding this period is crucial for predicting last digits of very large powers.
16. How does the presence of factors like 2 and 5 in the base number affect the analysis of last digits using the Binomial Expansion?
Factors of 2 and 5 in the base number significantly affect the analysis of last digits because 10 = 2 * 5. Numbers with these factors tend to have shorter periods in their last digit patterns. The Binomial Expansion helps reveal how these factors interact and simplify as the exponent increases, often leading to predictable patterns.
17. Can the Binomial Theorem be used to find the remainder when a number is raised to a large power and divided by another number?
Yes, the Binomial Theorem can be used to find such remainders. By expanding (a + b)^n and working modulo the divisor, we can often simplify the calculation significantly. This technique is especially powerful when combined with properties of modular arithmetic and theorems like Euler's theorem or the Chinese Remainder Theorem.
18. What is the relationship between Pascal's Triangle and finding last digits using the Binomial Expansion?
Pascal's Triangle, which represents binomial coefficients, is closely related to finding last digits using the Binomial Expansion. The coefficients in Pascal's Triangle, when taken modulo 10 (or another number), form patterns that can help predict the behavior of last digits in binomial expansions. Understanding these patterns can significantly simplify calculations.
19. How does the concept of congruence classes help in analyzing last digits using the Binomial Theorem?
Congruence classes are essential in analyzing last digits because they allow us to group numbers that behave similarly modulo a given number. When using the Binomial Theorem, we can often reduce complex calculations to simpler ones within these congruence classes, making it easier to identify patterns and compute last digits efficiently.
20. What is the significance of Euler's theorem in the context of finding last digits using the Binomial Expansion?
Euler's theorem, which states that a^φ(m) ≡ 1 (mod m) for coprime a and m, is significant in finding last digits because it allows us to simplify large exponents. When using the Binomial Theorem, we can often reduce exponents modulo φ(m), where m is related to the number of last digits we're interested in. This can greatly simplify calculations for large powers.
21. How can we use the Binomial Theorem to find the last digit of expressions like (a^n + b^n)?
To find the last digit of expressions like (a^n + b^n) using the Binomial Theorem, we can expand (a + b)^n and focus on the first and last terms, as these are the only ones that contribute to a^n + b^n. We then compute these terms modulo 10 to find the last digit. This approach is often simpler than calculating a^n and b^n separately.
22. What is the role of primitive roots in analyzing last digits using the Binomial Expansion?
Primitive roots play a crucial role in analyzing last digits because they generate all possible residues modulo a number. When using the Binomial Theorem, understanding the behavior of primitive roots can help predict cycles in last digits and simplify calculations, especially when dealing with powers of numbers modulo prime numbers or their powers.
23. How does the concept of multiplicative order relate to finding patterns in last digits using the Binomial Theorem?
The multiplicative order of a number modulo m is the smallest positive integer k such that a^k ≡ 1 (mod m). This concept is crucial in finding patterns in last digits because it determines the length of cycles in the last digits of powers. The Binomial Theorem can be used to analyze how these cycles interact in more complex expressions.
24. Can the Binomial Theorem be used to find the last digit of factorial expressions?
Yes, the Binomial Theorem can be used to analyze the last digit of factorial expressions. While it may not provide a direct formula, it can help in understanding the pattern of last digits in factorials. By expressing n! in terms of binomial coefficients and analyzing their behavior modulo 10, we can gain insights into the last digits of factorials.
25. How does the concept of Carmichael function relate to finding last digits using the Binomial Expansion?
The Carmichael function λ(n) is the smallest positive integer m such that a^m ≡ 1 (mod n) for all a coprime to n. This function is relevant to finding last digits using the Binomial Expansion because it often allows for further reduction of exponents beyond what Euler's theorem provides, potentially simplifying calculations in binomial expansions modulo n.
26. What is the significance of the Lucas theorem in the context of finding remainders using the Binomial Expansion?
Lucas' theorem relates binomial coefficients modulo a prime p to the base-p representations of the numbers involved. This is significant for finding remainders because it allows us to break down complex binomial coefficients into simpler calculations involving smaller numbers. When using the Binomial Expansion modulo a prime, Lucas' theorem can greatly simplify the computation.
27. How can we use the Binomial Theorem to analyze the behavior of digital roots of large powers?
The digital root of a number is the single-digit sum obtained by repeatedly adding its digits. To analyze digital roots of large powers using the Binomial Theorem, we can expand (a + b)^n and focus on how each term contributes to the digital root. Since digital roots have a cyclic nature modulo 9, this analysis often reveals interesting patterns and properties.
28. What is the role of the Chinese Remainder Theorem in solving problems related to last digits using the Binomial Expansion?
The Chinese Remainder Theorem (CRT) is crucial in solving problems related to last digits when we need to consider multiple moduli simultaneously. For example, if we want to find the last two digits (which is equivalent to working modulo 100), we can use the CRT to combine results modulo 4 and modulo 25, often simplifying the overall calculation in binomial expansions.
29. How does the concept of p-adic valuation relate to analyzing remainders in Binomial Expansions?
The p-adic valuation of a number is the highest power of a prime p that divides it. In Binomial Expansions, understanding p-adic valuations can help determine which terms contribute significantly to remainders modulo powers of p. This is particularly useful when analyzing the behavior of binomial coefficients and their impact on the final remainder.
30. Can the Binomial Theorem be used to find patterns in the last digits of Fibonacci numbers?
Yes, the Binomial Theorem can be used to analyze patterns in the last digits of Fibonacci numbers. By expressing Fibonacci numbers in terms of powers of the golden ratio using Binet's formula, and then applying the Binomial Theorem to expand these powers, we can derive information about the cyclic nature of last digits in the Fibonacci sequence.
31. How does the concept of Euler's totient function φ(n) relate to finding last digits using the Binomial Expansion?
Euler's totient function φ(n) counts the numbers less than n that are coprime to it. It's crucial in finding last digits because it determines the cycle length of powers modulo n for numbers coprime to n. When using the Binomial Theorem, understanding φ(n) helps in reducing large exponents and predicting patterns in the expansion modulo n.
32. What is the significance of Kummer's theorem in analyzing binomial coefficients for remainder problems?
Kummer's theorem relates the p-adic valuation of binomial coefficients to the number of carries when adding numbers in base p. This is significant for remainder problems because it provides a way to determine the exact power of a prime p that divides a binomial coefficient, which is crucial when working with the Binomial Expansion modulo powers of p.
33. How can we use the Binomial Theorem to find the last digit of large Catalan numbers?
To find the last digit of large Catalan numbers using the Binomial Theorem, we can express the Catalan number Cn as (2n choose n) / (n+1) and then analyze this expression modulo 10. The Binomial Theorem helps in expanding (2n choose n) and understanding how it behaves modulo 10 for large n, revealing patterns in the last digits of Catalan numbers.
34. What is the role of Legendre's formula in analyzing the behavior of factorials in Binomial Expansions?
Legendre's formula gives the exact power of a prime p that divides n!. In Binomial Expansions, this is crucial for understanding the behavior of binomial coefficients modulo powers of p. It helps in determining which terms in the expansion are significant when working with remainders, especially for problems involving large factorials.
35. How does the concept of multiplicative functions relate to finding patterns in last digits using the Binomial Theorem?
Multiplicative functions, which satisfy f(ab) = f(a)f(b) for coprime a and b, are important in number theory and relate to finding patterns in last digits. When using the Binomial Theorem, recognizing multiplicative functions can help break down complex calculations into simpler ones, especially when dealing with remainders modulo different numbers.
36. Can the Binomial Theorem be used to analyze the distribution of quadratic residues modulo a prime?
Yes, the Binomial Theorem can be used to analyze quadratic residues modulo a prime. By expanding (a + b)^p where p is prime and examining the coefficients modulo p, we can gain insights into the distribution of quadratic residues. This analysis relates to important results in number theory, such as the law of quadratic reciprocity.
37. How does the concept of cyclotomic polynomials relate to finding last digits using the Binomial Expansion?
Cyclotomic polynomials, which are the minimal polynomials of primitive roots of unity, are closely related to finding last digits using the Binomial Expansion. They help in understanding the behavior of roots of unity modulo different numbers, which is crucial when analyzing patterns in last digits of powers and more complex expressions involving binomial expansions.
38. What is the significance of Wilson's theorem in the context of remainders and the Binomial Theorem?
Wilson's theorem states that (p-1)! ≡ -1 (mod p) for any prime p. This is significant in the context of remainders and the Binomial Theorem because it provides information about the behavior of large factorials modulo primes. This can be useful when analyzing binomial coefficients or expanding expressions like (1 + 1)^p modulo p.
39. How can we use the Binomial Theorem to find patterns in the last digits of numbers in Pascal's Triangle?
To find patterns in the last digits of numbers in Pascal's Triangle using the Binomial Theorem, we can analyze how binomial coefficients behave modulo 10 (or powers of 10).

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