二项式展开

 

Binomial Theorem

What happens when you multiply a binomial by itself ... many times?

Here is the answer:

Binomial Theorem

Don't worry ... I will explain it all!

And you will learn lots of cool math symbols along the way.

Binomial

A binomial is a polynomial with two terms

Binomial
example of a binomial

Multiplying

The Binomial Theorem shows what happens when you multiply a binomial by itself (as many times as you want).

It works because there is a pattern ... let us see if we can discover it.

Exponents

But first you need to know what an Exponent is.
Here is a quick summary:

An exponent says how many times to use something in a multiplication.

二项式展开_第1张图片

Example: 82 = 8 × 8 = 64

An exponent of 1 means just to have it appear once, so you get the original value:

Example: 81 = 8

An exponent of 0 means not to use it at all, and we have only 1:

Example: 80 = 1

Exponents of (a+b)

Now on to the binomial.

We will use the simple binomial a+b, but it could be any binomial.

Let us start with an exponent of 0 and build upwards.

Exponent of 0

When an exponent is 0, you get 1:

(a+b)0 = 1

Exponent of 1

When the exponent is 1, you get the original value, unchanged:

(a+b)1 = a+b

Exponent of 2

An exponent of 2 means to multiply by itself (see how to multiply polynomials):

(a+b)2 = (a+b)(a+b) = a2 + 2ab + b2

Exponent of 3

For an exponent of 3 just multiply again:

(a+b)3 = (a+b)(a2 + 2ab + b2) = a3 + 3a2b + 3ab2 + b3

 

We have enough now to start talking about the pattern.

The Pattern

In the last result we got:

a3 + 3a2b + 3ab2 + b3

Now, notice the exponents of a. They start at 3 and go down: 3, 2, 1, 0:

a goes 3,2,1,0

Likewise the exponents of b go upwards: 0, 1, 2, 3:

b goes 0,1,2,3

If we number the terms 0 to n, we get this:

k=0 k=1 k=2 k=3
a3 a2 a 1
1 b b2 b3

Which can be brought together into this:

an-kbk

How about an example to see how it works:

Example: When the exponent, n, is 3.

The terms are:

k=0: k=1: k=2: k=3:
  an-kbk
= a3-0b0
= a3
  an-kbk
= a3-1b1
= a2b
  an-kbk
= a3-2b2
= ab2
  an-kbk
= a3-3b3
= b3

 

It works like magic!

Coefficients

So far we have: a3 + a2b + ab2 + b3
But we really need: a3 + 3a2b + 3ab2 + b3

We are missing the numbers (which are called coefficients).

Let's look at all the results we got before, from (a+b)0 up to (a+b)3:

二项式展开_第2张图片

And now look at just the coefficients (with a "1" where a coefficient wasn't shown):

二项式展开_第3张图片

They actually make Pascal's Triangle!

Each number is just the two numbers above it added together (except for the edges, which are all "1")

(Here I have highlighted that 1+3 = 4)

二项式展开_第4张图片

Armed with this information let us try something new ... an exponent of 4:

a exponents go 4,3,2,1,0:   a4 + a3 + a2 + a + 1  
b exponents go 0,1,2,3,4:   a4 + a3b + a2b2 + ab3 + b4  
coefficients go 1,4,6,4,1:   a4 + 4a3b + 6a2b2 + 4ab3 + b4 yes

And that is the correct answer.

We have success!

We can now use that pattern for exponents of 5, 6, 7, ... 50, ... 112, ... you name it!

 

That pattern is the essence of the Binomial Theorem.

Now you can take a break.

When you come back see if you can work out (a+b)5 yourself.

Answer (hover over): a5 + 5a4b + 10a3b2 + 10a2b3 + 5ab4 + b5

 

As a Formula

Our last step is to write it all as a formula.

But hang on, how do we write a formula for "find the coefficient from Pascal's Triangle" ... ?

Well, there is such a formula:

   

It is commonly called "n choose k" because it is how many ways to choose k elements from a set of n.

You can read more at Combinations and Permutations

The "!" means "factorial", for example 4! = 1×2×3×4 = 24

And it matches to Pascal's Triangle like this:

(Note how the top row is row zero
and also the leftmost column is zero!)

二项式展开_第5张图片

Example: Row 4, term 2 in Pascal's Triangle is "6".

Let's see if the formula works:

Yes, it works! Try another value for yourself.

Putting It All Together

The last step is to put all the terms together into one formula.

But we are adding lots of terms together ... can that be done using one formula?

Yes! The handy Sigma Notation allows us to sum up as many terms as we want:

二项式展开_第6张图片
Sigma Notation

Now it can all go into one formula:

Binomial Theorem
The Binomial Theorem

Use It

OK ... it won't make much sense without an example.

So let's try using it for n = 3 :

二项式展开_第7张图片

BUT ... it is usually much easier just to remember the patterns:

  • The first term's exponents start at n and go down
  • The second term's exponents start at 0 and go up
  • Coefficients are from Pascal's Triangle, or by calculation using n!/(k!(n-k)!)

Like this:

Example: What is (x+5)4

 

Start with exponents: x450 x351 x252 x153 x054
Include Coefficients: 1x450 4x351 6x252 4x153 1x054

 

Then write down the answer (including all calculations, such as 4×5, 6×52, etc):

(x+5)4 = x4 + 20x3 + 150x2 + 500x + 625

 

You may also want to calculate just one term:

Example: What is the coefficient for x3 in (2x+4)8

The exponents for x3 are:

(2x)345

The coefficient is "8 choose 5". We can use Pascal's Triangle, or calculate directly:

n!   =   8!   =   8!   =   8×7×6   = 56
       
k!(n-k)! 5!(8-5)! 5!3! 3×2×1

And we get:

56(2x)345

Which simplifies to:

458752 x3

A large coefficient, isn't it?

 

And one last, most amazing example:

Example: A formula for e (Euler's Number)

You can use the Binomial Theorem to calculate e (Euler's number).

e = 2.718281828459045... (the digits go on forever without repeating)

It can be calculated using:

(1 + 1/n)n

(It gets more accurate the higher the value of n)

 

That formula is a binomial, right? So let's use the Binomial Theorem:

e

First, we can drop 1n-k as it is always equal to 1:

e

And, quite magically, most of what is left goes to 1 as n goes to infinity:

二项式展开_第8张图片

Which just leaves:

二项式展开_第9张图片

 

With just those first few terms we get e ≈ 2.7083...

Try calculating more terms for a better approximation!

 

Question 1 Question 2 Question 3 Question 4 Question 5 Question 6 Question 7 Question 8 Question 9 Question 10  
Challenging 1 Challenging 2

Isaac Newton

As a footnote it is worth mentioning that around 1665 Sir Isaac Newton came up with a "general" version of the formula that is not limited to exponents of 0, 1, 2, .... I hope to write about that one day.

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In elementary algebra, the binomial theorem (or binomial expansion) describes the algebraic expansion of powers of a binomial. According to the theorem, it is possible to expand the power (x + y)n into a sum involving terms of the form a xbyc, where the exponents b and c are nonnegative integers with b + c = n, and the coefficient a of each term is a specific positive integer depending on n and b. For example,

( x + y ) 4 = x 4 + 4 x 3 y + 6 x 2 y 2 + 4 x y 3 + y 4 . {\displaystyle (x+y)^{4}\;=\;x^{4}\,+\,4x^{3}y\,+\,6x^{2}y^{2}\,+\,4xy^{3}\,+\,y^{4}.}

The coefficient a in the term of a xbyc is known as the binomial coefficient

In elementary algebra, the binomial theorem (or binomial expansion) describes the algebraic expansion of powers of a binomial. According to the theorem, it is possible to expand the power (x + y)n into a sum involving terms of the form a xbyc, where the exponents b and c are nonnegative integers with b + c = n, and the coefficient a of each term is a specific positive integer depending on n and b. For example,

( x + y ) 4 = x 4 + 4 x 3 y + 6 x 2 y 2 + 4 x y 3 + y 4 . {\displaystyle (x+y)^{4}\;=\;x^{4}\,+\,4x^{3}y\,+\,6x^{2}y^{2}\,+\,4xy^{3}\,+\,y^{4}.}

The coefficient a in the term of a xbyc is known as the binomial coefficient

 

二项式展开_第10张图片

 

 

 

 

 

( n b ) {\displaystyle {\tbinom {n}{b}}} or ( n c ) {\displaystyle {\tbinom {n}{c}}} (the two have the same value). These coefficients for varying n and b can be arranged to form Pascal's triangle. These numbers also arise in combinatorics, where ( n b ) {\displaystyle {\tbinom {n}{b}}} gives the number of different combinations of b elements that can be chosen from an n-element set.

( n b ) {\displaystyle {\tbinom {n}{b}}} or ( n c ) {\displaystyle {\tbinom {n}{c}}} (the two have the same value). These coefficients for varying n and b can be arranged to form Pascal's triangle. These numbers also arise in combinatorics, where ( n b ) {\displaystyle {\tbinom {n}{b}}} gives the number of different combinations of b elements that can be chosen from an n-element set.

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