Greatest Binomial Coefficient

Greatest Binomial Coefficient

Edited By Komal Miglani | Updated on Jul 02, 2025 08:03 PM IST

The Binomial Theorem is an important concept of algebra that helps to expand the expressions. A Binomial is an expression with two terms. It is difficult to solve the powers manually therefore this expression makes it simpler to solve. This theorem is widely used in real-life applications in mathematics including calculus etc.

Greatest Binomial Coefficient
Greatest Binomial Coefficient

What is Binomial Expression?

An algebraic expression consisting of only two terms is called a Binomial Expression $e g \cdot(a+b)^2,\left(\sqrt{x}+\frac{k}{x^2}\right)^5,(x+9 y)^{-2 / 3}$

Binomial Theorem

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 $

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 $\binom{n}{r}=C(n, r)={ }^n C_r=\frac{n!}{r!(n-r)!}$.

Numerically Greatest Value

The numerical value of each term of the binomial expansion is determined by the value of the Binomial coefficients. Numerically greatest value is defined as the largest term among the product of the variable coefficients(Binomial coefficients) in the Binomial expansion. In general, Numerically greatest value of the Binomial expansion of $(x+a)^n$ is the $r$th and $(r+1)$th term where $r=\frac{(n+1)}{1+|\frac{x}{a}|}$. It is represented as $T_{r}$ and $T_{r+1}$.


Method to find the Numerically Greatest Term of the expansion $(x+a)^n$

First, find the value of $r$ which is

$
\mathrm{r}=\frac{(n+1)}{1+|\frac{x}{a}|}
$

If $r$ is an integer, then $T_r$ and $T_{r+1}$ are numerically equal and both are greatest terms.

If $r$ is not an integer, then $T_{r+1}$ is the greatest term, where [r] is an integral part of r.

Recommended Video Based on Greatest Value:

Solved Examples Based on Greatest Value:

Example 1: The greatest value of the term independent of $x$ in the expansion of $\left(x \sin a+x^{-1} \cos a\right)^{10}$, is
1) $2^5$
2) $\frac{10!}{(5!)^2}$
3) $\frac{1}{2^5} \cdot \frac{10!}{(5!)^2}$
4) none of these

Solution

$
T_{r+1}={ }^{10} C_r(x \sin \alpha)^{10-r} \cdot\left(\frac{\cos \alpha}{x}\right)^r
$

It is independent of $x$ if $r=5$.
The term independent of $x={ }^{10} \mathrm{C}_5 \cdot \sin ^5 \mathrm{a} \cdot \cos ^5 \mathrm{a}$

$
={ }^{10} C_5 \cdot \frac{1}{2^5}(\sin 2 \alpha)^5 \leq{ }^{10} C_5 \cdot \frac{1}{2^5}
$

Hence, the answer is the option 3.

Example 2: $\ln n$ is an even positive integer, then the condition that the greatest term in the expansion of $(1+x)^n$ many have the greatest coefficient also, is ( x is positive)
1) $\frac{n}{n+2}<x<\frac{n+2}{n}$
2) $\frac{n+1}{n}<x<\frac{n}{n+1}$
3) $\frac{n}{n+4}<x<\frac{n+4}{4}$
4) none of these

Solution

Let $\mathrm{n}=2 \mathrm{~m}$
If $n$ is even then the greatest binomial coefficient $={ }^n C_{n / 2}={ }^{2 m} C_m$

$
=(m+1) \text { th term }=T_{m+1}
$
Now, since $T_{m+1}$ is the greatest term

$
m<\frac{(2 m+1)}{1+\left|\frac{1}{x}\right|}<(m+1)
$

Solving it and putting $m=n / 2$ we get

$
\frac{n}{n+2}<x<\frac{n+2}{n}
$
Hence, the answer is the option 1.

Example 3: If for some positive integer n , the coefficients of three consecutive terms in the binomial expansion of $(1+x)^{n+5}$ are in the ratio $5: 10: 14$, then the largest coefficient in this expansion is.
1) $462$
2) $330$
3) $792$
4) $252$

Solution

$
\begin{aligned}
& \text { Let } \mathrm{n}+5=\mathrm{N} \\
& { }^{\mathrm{N}} \mathrm{C}_{\mathrm{r}-1}:{ }^{\mathrm{N}} \mathrm{C}_{\mathrm{r}}:{ }^{\mathrm{N}} \mathrm{C}_{\mathrm{r}+1}=5: 10: 14 \\
& \Rightarrow \frac{{ }^{\mathrm{N}} \mathrm{C}_{\mathrm{r}}}{{ }^{\mathrm{N}_{\mathrm{C}}} \mathrm{C}_{\mathrm{r}-1}}=\frac{\mathrm{N}+1-\mathrm{r}}{\mathrm{r}}=2 \\
& \mathrm{~N}_{\mathrm{C}_{\mathrm{r}+1}}^{\mathrm{N}_{\mathrm{C}_{\mathrm{r}}}}=\frac{\mathrm{N}-\mathrm{r}}{\mathrm{r}+1}=\frac{7}{5} \\
& \Rightarrow \mathrm{r}=4, \mathrm{~N}=11 \\
& \Rightarrow(1+\mathrm{x})^{11}
\end{aligned}
$

Largest coefficient $={ }^{11} \mathrm{C}_6=462$
Hence, the answer is option (1).

Example 4: Find the numerically greatest term in the expansion of $(2+3 x)^9$, when $x=\frac{2}{3}$
1) $6^{\text {th }}$ term
2) $5^{\text {th }}$ term
3) $5^{\text {th }}$ term and $6^{\text {th }}$ term
4) $8^{\text {th }}$ term

Solution
Here $a=2$ and $b=3 x=2($ As $x=2 / 3)$

So,

$
m=\frac{n+1}{1+|a / b|}=\frac{10}{1+1}=5
$

As $m$ is an integer, so there are two numerically greatest terms
$T_m$ and $T_{m+1}: T_5$ and $T_6$
Hence, the answer is the option 3.
Example 5: Let for the $9^{\text {th }}$ term in the binomial expansion of $(3+6 x)^{\mathrm{n}}$, in the increasing powers of 6 x , $x=\frac{3}{2}$
$k+n_0$ is equal to :
1) $24$
2) $15$
3) $17$
4) $20$

Solution

$
\frac{\mathrm{n}+1}{1+\left|\frac{\mathrm{a}}{\mathrm{b}}\right|}=\frac{\mathrm{n}+1}{1+\left|\frac{3}{6 \times \frac{3}{2}}\right|}=\frac{3(\mathrm{n}+1)}{4}
$
As $g^{\text {th }}$ term is greatest,

$
\begin{aligned}
& \therefore 8<\frac{3(\mathrm{n}+1)}{4}<9 \\
& 32<3(\mathrm{n}+1)<36 \\
& 10.66<\mathrm{n}+1<12 \\
& \quad 9.66<\mathrm{n}<11 \\
& \therefore \mathrm{n}_0=10 \\
& \mathrm{k}=\frac{{ }^{10} \mathrm{C}_6 \cdot(3)^4(6)^6}{{ }^{10} \mathrm{C}_3 \cdot 3^7(6)^3}=14 \\
& \therefore \quad \mathrm{k}+\mathrm{n}_0=24
\end{aligned}
$
Hence, the answer is $24$ .


Frequently Asked Questions (FAQs)

1. What is the greatest binomial coefficient in the expansion of (x + y)^n?
The greatest binomial coefficient in the expansion of (x + y)^n is the middle term(s) when n is even, or the two middle terms when n is odd. This coefficient is always (n choose r), where r = n/2 for even n, or r = (n-1)/2 and (n+1)/2 for odd n.
2. Why is the middle term of a binomial expansion typically the largest?
The middle term is typically the largest because it represents the most balanced combination of x and y. As you move away from the middle, the combinations become less balanced, resulting in smaller coefficients.
3. How does the value of n affect the greatest binomial coefficient?
As n increases, the value of the greatest binomial coefficient also increases. This is because there are more possible combinations for selecting items from a larger set, leading to larger coefficients in the middle of the expansion.
4. Can there be more than one greatest binomial coefficient in an expansion?
Yes, when n is odd, there are two equal greatest binomial coefficients. These are the two middle terms in the expansion, as they have the same number of combinations.
5. How do you calculate the greatest binomial coefficient for (x + y)^10?
For (x + y)^10, the greatest coefficient is in the middle term. It can be calculated as (10 choose 5) = 10! / (5! * 5!) = 252.
6. What's the relationship between Pascal's Triangle and the greatest binomial coefficient?
The greatest binomial coefficient for (x + y)^n appears in the (n+1)th row of Pascal's Triangle. It's always the middle number(s) in that row.
7. How does the greatest binomial coefficient relate to the total number of terms in the expansion?
The greatest binomial coefficient is always found at or near the middle of the expansion. If there are n+1 terms in total (for (x + y)^n), the greatest coefficient will be at position (n/2)+1 for even n, or at positions (n+1)/2 and (n+3)/2 for odd n.
8. Why is understanding the greatest binomial coefficient important in probability theory?
The greatest binomial coefficient represents the most likely outcome in a binomial probability distribution. It indicates the number of ways to achieve the most probable event, which is crucial in many statistical applications.
9. How does the concept of symmetry apply to binomial coefficients?
Binomial coefficients are symmetrical around the middle term(s). This means that (n choose k) = (n choose n-k). The greatest coefficient(s) is at the center of this symmetry.
10. Can the greatest binomial coefficient ever be 1?
Yes, the greatest binomial coefficient is 1 only when n = 0 or n = 1. In these cases, the expansion is (x + y)^0 = 1 or (x + y)^1 = x + y, respectively.
11. How does the greatest binomial coefficient change between (x + y)^n and (x + y)^(n+1)?
The greatest binomial coefficient always increases when moving from (x + y)^n to (x + y)^(n+1). The rate of increase depends on n and is related to the ratio of successive terms in Pascal's Triangle.
12. What's the significance of the greatest binomial coefficient in combinatorics?
In combinatorics, the greatest binomial coefficient represents the maximum number of ways to choose objects from a set without replacement and where order doesn't matter. It's the peak of the combination function for a given n.
13. How can you approximate the greatest binomial coefficient for large values of n?
For large n, you can approximate the greatest binomial coefficient using Stirling's approximation. The formula is approximately 2^n / sqrt(πn/2) for even n, and slightly different for odd n.
14. Is there a pattern to how quickly the greatest binomial coefficient grows as n increases?
Yes, the growth of the greatest binomial coefficient follows an exponential pattern. It grows faster than polynomial functions but slower than n!. The exact rate of growth is approximately 4^n / sqrt(πn) for large n.
15. How does the greatest binomial coefficient relate to the binomial distribution in statistics?
In a binomial distribution with probability p = 0.5, the greatest binomial coefficient corresponds to the mode of the distribution. It represents the most likely number of successes in n trials.
16. Can the greatest binomial coefficient ever be an odd number?
Yes, the greatest binomial coefficient can be odd. This occurs when n is a power of 2 minus 1 (e.g., 3, 7, 15, 31, etc.). In these cases, all the binomial coefficients in the expansion are odd.
17. How does the concept of the greatest binomial coefficient extend to multinomial expansions?
In multinomial expansions (e.g., (x + y + z)^n), there isn't a single greatest coefficient. Instead, there are multiple "large" coefficients near the center of the expansion, following a similar principle of balanced combinations.
18. What's the connection between the greatest binomial coefficient and the central limit theorem?
The greatest binomial coefficient corresponds to the peak of the binomial distribution. As n increases, this distribution approaches a normal distribution (as described by the central limit theorem), with the greatest coefficient at its center.
19. How does knowing the greatest binomial coefficient help in solving binomial probability problems?
Knowing the greatest binomial coefficient helps identify the most likely outcome in a binomial probability scenario. It also provides a quick way to estimate probabilities for outcomes near the mean of the distribution.
20. Can you explain why (n choose n/2) is always the greatest binomial coefficient for even n?
(n choose n/2) is always the greatest for even n because it represents the most balanced way of choosing items. It maximizes the product of the number of ways to choose and not choose items, resulting in the largest possible coefficient.
21. How does the greatest binomial coefficient relate to the concept of entropy in information theory?
The greatest binomial coefficient corresponds to the state of maximum entropy in a binary system. It represents the most uncertain or random state, where all possible outcomes are most evenly distributed.
22. Is there a relationship between the greatest binomial coefficient and prime numbers?
There's no direct relationship, but an interesting observation is that when n is prime, all binomial coefficients (n choose k) for 0 < k < n are divisible by n. This doesn't specifically relate to the greatest coefficient but is a notable property.
23. How does the concept of the greatest binomial coefficient apply in coding theory?
In coding theory, the greatest binomial coefficient often represents the maximum number of errors that can occur in a message of length n while still being correctable. It's crucial in determining the error-correcting capabilities of certain codes.
24. Can the greatest binomial coefficient ever be a perfect square?
Yes, the greatest binomial coefficient can be a perfect square. For example, when n = 6, the greatest coefficient is (6 choose 3) = 20, which is not a perfect square. But when n = 4, the greatest coefficient is (4 choose 2) = 6, which is a perfect square.
25. How does the position of the greatest binomial coefficient change as n increases?
As n increases, the position of the greatest coefficient(s) remains at or near the middle of the expansion. For even n, it's always at position (n/2)+1. For odd n, it's at positions (n+1)/2 and (n+3)/2.
26. What's the significance of the greatest binomial coefficient in the context of the binomial theorem?
The greatest binomial coefficient represents the term with the largest contribution to the expansion. It's often the term that dominates the behavior of the entire expansion, especially for large values of x and y.
27. How does the greatest binomial coefficient relate to the concept of standard deviation in statistics?
The greatest binomial coefficient occurs at or near the mean of the binomial distribution. The standard deviation determines how quickly the coefficients decrease as you move away from this central peak.
28. Can you explain the role of the greatest binomial coefficient in cryptography?
In cryptography, the greatest binomial coefficient often represents the most difficult case for certain types of attacks. For example, in analyzing the security of some cryptographic schemes, the worst-case scenario often involves combinations corresponding to the greatest coefficient.
29. How does the concept of the greatest binomial coefficient extend to negative binomial expansions?
In negative binomial expansions (e.g., (1-x)^(-n)), there is no single greatest coefficient. Instead, the coefficients continue to increase indefinitely as the power of x increases.
30. What's the connection between the greatest binomial coefficient and the concept of statistical significance?
The greatest binomial coefficient represents the most likely outcome in a binomial distribution. In hypothesis testing, outcomes far from this peak (in the tails of the distribution) are often considered statistically significant.
31. How does the greatest binomial coefficient relate to the concept of combinatorial optimization?
In combinatorial optimization, problems often involve finding the optimal subset of a set of n items. The greatest binomial coefficient represents the size of the search space for problems where the optimal subset is expected to be about half the size of the full set.
32. Can you explain how the greatest binomial coefficient relates to the concept of entropy in thermodynamics?
In thermodynamics, the greatest binomial coefficient corresponds to the macrostate with the highest entropy. It represents the most disordered or most probable arrangement of particles in a system, similar to its interpretation in information theory.
33. How does the concept of the greatest binomial coefficient apply in game theory?
In game theory, particularly for games with binary outcomes, the greatest binomial coefficient often represents the most uncertain or balanced state of the game. It's the state where predicting the outcome is most difficult.
34. What's the significance of the greatest binomial coefficient in the study of random walks?
In random walk problems, the greatest binomial coefficient often corresponds to the most likely position after n steps. It represents the peak of the probability distribution for the walker's final position.
35. How does the greatest binomial coefficient relate to the concept of statistical power in hypothesis testing?
The greatest binomial coefficient indirectly relates to statistical power. Tests are often most powerful when the alternative hypothesis corresponds to probabilities near 0.5, which aligns with the greatest coefficient in the binomial distribution.
36. Can you explain how the greatest binomial coefficient is used in the analysis of algorithms?
In algorithm analysis, the greatest binomial coefficient often represents the worst-case scenario for algorithms that work with subsets of a set. It's frequently used in time complexity analysis of combinatorial algorithms.
37. How does the concept of the greatest binomial coefficient apply in quantum mechanics?
In quantum mechanics, the greatest binomial coefficient can represent the most probable outcome in certain quantum systems. It's related to the concept of maximum entropy states in quantum information theory.
38. What's the relationship between the greatest binomial coefficient and Stirling's approximation?
Stirling's approximation is often used to estimate large factorials and, by extension, large binomial coefficients. It's particularly useful for approximating the greatest binomial coefficient when n is large.
39. How does the greatest binomial coefficient relate to the concept of information content in communication theory?
The greatest binomial coefficient represents the state of maximum information content in a binary communication system. It corresponds to the situation where each bit carries the most information, i.e., when the probability of each bit being 0 or 1 is equal.
40. Can you explain how the greatest binomial coefficient is used in population genetics?
In population genetics, the greatest binomial coefficient often represents the most likely distribution of alleles in a population under certain models. It corresponds to the peak of the probability distribution for allele frequencies.

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