Prove $\left(\begin{matrix}n\\1\end{matrix}\right)=n$ - Help Needed

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In summary, the factorial is defined recursively as $n! = (n - 1)! n$ and $1! = 1$, and is equal to the product of all integers up to $n$.
  • #1
bergausstein
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please help me with this

prove that

$\left(\begin{matrix}n\\1\end{matrix}\right)=n$

this is what I get when I try to prove it,

$\left(\begin{matrix}n\\1\end{matrix}\right)=\frac{n!}{1!(n-1)!}=\frac{n!}{(n-1)!}$

thanks!
 
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  • #2
Re: Proving a corrolary

bergausstein said:
please help me with this

prove that

$\left(\begin{matrix}n\\1\end{matrix}\right)=n$

this is what I get when I try to prove it,

$\left(\begin{matrix}n\\1\end{matrix}\right)=\frac{n!}{1!(n-1)!}=\frac{n!}{(n-1)!}$

thanks!

$$n! = 2 \cdot 3 \cdot 4 \cdot \cdots \cdot (n - 1) \cdot n$$

$$(n - 1)! = 2 \cdot 3 \cdot 4 \cdot \cdots \cdot (n - 1)$$

What's left when you divide $n!$ by $(n - 1)!$? In other words, what's $n!$ in terms of $(n - 1)!$? (hint: recursive definition of factorial). If this is still unsatisfactory, consider proving by induction...
 
  • #3
Re: Proving a corrolary

Bacterius said:
$$n! = 2 \cdot 3 \cdot 4 \cdot \cdots \cdot (n - 1) \cdot n$$

$$(n - 1)! = 2 \cdot 3 \cdot 4 \cdot \cdots \cdot (n - 1)$$

What's left when you divide $n!$ by $(n - 1)!$? In other words, what's $n!$ in terms of $(n - 1)!$? (hint: recursive definition of factorial). If this is still unsatisfactory, consider proving by induction...

I get your point here, but what is "recurisive definition of factorial"?
 
  • #4
Re: Proving a corrolary

bergausstein said:
I get your point here, but what is "recurisive definition of factorial"?

The factorial is typically defined recursively as $n! = (n - 1)! n$ and $1! = 1$, for instance:
$$5! = (5 - 1)! 5 = 4! 5 = ((4 - 1)! 4) 5 = (3! 4) 5 = ((3 - 1)! 3)4)5 = ((2! 3)4)5 = (((2 - 1)! 2)3)4)5 = (((1! 2)3)4)5 = (((2)3)4)5 = 2 \times 3 \times 4 \times 5 = 120$$
If you follow this definition, your result is immediate. If not, you can start with whatever your definition of the factorial is to arrive at the same result. For instance, if your definition is instead "product of all integers up to $n$" then you could use the product argument I gave in my previous post, or use induction (slightly tautologically, I have to say). Does that make sense?
 
  • #5


First, we need to understand what the notation $\left(\begin{matrix}n\\1\end{matrix}\right)$ means. This is known as a binomial coefficient and can be read as "n choose 1". It represents the number of ways to choose 1 object from a set of n objects.

To prove that $\left(\begin{matrix}n\\1\end{matrix}\right)=n$, we can use the definition of a binomial coefficient and the fundamental principle of counting.

According to the fundamental principle of counting, if we have two tasks that can be performed in m and n ways respectively, then the total number of ways to perform both tasks is m x n.

In this case, we have a set of n objects and we want to choose 1 object from it. This can be seen as two tasks - first, selecting the 1 object and second, choosing the remaining (n-1) objects from the set.

The first task can be performed in n ways (as there are n objects to choose from). For the second task, we have (n-1) objects left and we want to choose (n-1) objects from it. This can be done in $\left(\begin{matrix}n-1\\n-1\end{matrix}\right)=1$ way.

Using the fundamental principle of counting, the total number of ways to choose 1 object from a set of n objects is n x 1 = n, which is equal to $\left(\begin{matrix}n\\1\end{matrix}\right)$.

Therefore, we have proven that $\left(\begin{matrix}n\\1\end{matrix}\right)=n$ for all n, and this is true by definition of a binomial coefficient.
 

FAQ: Prove $\left(\begin{matrix}n\\1\end{matrix}\right)=n$ - Help Needed

What does the notation "n choose 1" mean?

The notation $\left(\begin{matrix}n\\1\end{matrix}\right)$, also known as "n choose 1", represents the number of ways to choose 1 item out of a set of n items. It is also equal to n because there is only one way to choose 1 item from a set of n items.

How do you prove that $\left(\begin{matrix}n\\1\end{matrix}\right)=n$?

To prove this, we can use the formula for combinations: $\left(\begin{matrix}n\\r\end{matrix}\right)=\frac{n!}{r!(n-r)!}$. Plugging in n=1 and r=1, we get $\left(\begin{matrix}1\\1\end{matrix}\right)=\frac{1!}{1!(1-1)!}=1$. This shows that the number of ways to choose 1 item from a set of 1 item is 1, which is equal to n.

Can this be proved using mathematical induction?

Yes, this can be proved using mathematical induction. The base case is n=1, where $\left(\begin{matrix}1\\1\end{matrix}\right)=1$. Then, assuming it is true for n=k, we can show that it is also true for n=k+1. $\left(\begin{matrix}k+1\\1\end{matrix}\right)=\frac{(k+1)!}{1!(k+1-1)!}=\frac{(k+1)!}{k!}=k+1$. This completes the inductive step and proves that the statement is true for all positive integers n.

What are some real-world applications of combinations?

Combinations have various applications in fields such as probability, statistics, and computer science. Some examples include selecting a committee from a group of people, choosing a winning lottery ticket, and creating unique passwords for security purposes.

Can you explain the difference between combinations and permutations?

Combinations and permutations are both ways of arranging or selecting items, but they differ in their restrictions. Combinations are used when the order of the items does not matter, while permutations are used when the order does matter. Additionally, in combinations, the same items can only be selected once, while in permutations, the same items can be selected multiple times.

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