Applications of the Binomial Theorem

Binomial_coefficients.In summary, the binomial series is derived by applying Taylor's expansion theorem to the function (1+\epsilon)^v, with a radius of convergence of 1. The Binomial Theorem follows from the binomial series when v=n, a positive integer, and the series terminates at k=n because \binom{n}{k} vanishes for k>n. This series can be used for approximations in special relativity when dealing with expressions of the form (1+\epsilon)^v.
  • #1
courtrigrad
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How would you quickly derive the binomial series? Would you have to use Taylor's Theorem/ Taylor Series? And does the Binomial Theorem follow from the binomial series? Are there any applications at all of the binomial series/ Binomial Theorem to special relativity? I know the binomial series is [itex] (x+a)^{v} = \sum_{k=0}^{\infty}\binom{v}{k} x^{k}a^{v-k} [/itex]. [itex] v [/itex] is a real number. But I guess when [itex] v [/itex] is a positive integer [itex] n [/itex] we get [itex] (x+a)^{n} = \sum_{k=0}^{\infty}\binom{n}{k} x^{k}a^{n-k} [/itex]. Why does the series terminate at [itex] n = v [/itex]?

Thanks
 
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  • #2
That's a lot of question! Take your breath! :-p

courtrigrad said:
How would you quickly derive the binomial series?
It is not quick and painless but it is simply a result of applying Taylor's expansion theorem to the function of one variable [itex]f(\epsilon)=(1+\epsilon)^v[/itex]. The resulting series is

[tex] (1+\epsilon)^{v} = \sum_{k=0}^{\infty}\binom{v}{k} \epsilon^{k}[/tex]

and its radius of convergence is found to be 1. One can then decide to set [itex]\epsilon = x/a[/itex] and multiply both sides of the equation by [itex]a^v[/itex] to get

[tex] (x+a)^{v} = \sum_{k=0}^{\infty}\binom{v}{k} x^{k}a^{v-k} [/tex]

of radius of convergence 'a'.
courtrigrad said:
And does the Binomial Theorem follow from the binomial series?
Yes; in the particular case v=n, a positive integer, the series is finite (the series "terminate" at k=n) and equals the binomial sum. More on that later.

courtrigrad said:
Are there any applications at all of the binomial series/ Binomial Theorem to special relativity?
The binomial series is useful for approximations. When we have an expression of the form [itex](1+\epsilon)^{v}[/itex] where [itex]|\epsilon |<1[/itex], we can write it as its Taylor series (which is in this case, the binomial series) and make the approximation that [itex](1+\epsilon)^{v}[/itex] is equal to only the first few terms of the series. You should be able to see why this is reasonable in the scope of [itex]0<|\epsilon|<1[/itex].

In special relativity, the factor [itex]\gamma[/itex] is of the above form, with [itex]\epsilon =-(v/c)^2[/itex] and v=-½, so a series expansion is possible and we can make the approximation of keeping only the first few terms in in order to ease our calculations or get insights into the equations.

courtrigrad said:
I know the binomial series is [itex] (x+a)^{v} = \sum_{k=0}^{\infty}\binom{v}{k} x^{k}a^{v-k} [/itex]. [itex] v [/itex] is a real number. But I guess when [itex] v [/itex] is a positive integer [itex] n [/itex] we get [itex] (x+a)^{n} = \sum_{k=0}^{\infty}\binom{n}{k} x^{k}a^{n-k} [/itex]. Why does the series terminate at [itex] n = v [/itex]?

Watch what happens to [itex]\binom{n}{k}[/itex] for k>n*. It vanishes. So all terms of the binomial series past k=n are zero.

*The definition of [itex]\binom{n}{k}[/itex] used is this: http://en.wikipedia.org/wiki/Binomial_series
 
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FAQ: Applications of the Binomial Theorem

What is the Binomial Theorem?

The Binomial Theorem is a mathematical formula that provides a systematic way to expand expressions of the form \((a + b)^n\), where \(a\) and \(b\) are constants and \(n\) is a positive integer. The theorem gives the coefficients of each term in the expanded expression, which is useful in various mathematical and real-world applications.

What are the applications of the Binomial Theorem?

The Binomial Theorem has several practical applications in different fields:

1. Algebra and Combinatorics:

The Binomial Theorem is fundamental in algebra and combinatorics. It allows for the expansion of binomial expressions and simplifies calculations involving powers and combinations of variables.

2. Probability and Statistics:

In probability theory, the Binomial Theorem is used to find probabilities in binomial experiments, where there are two possible outcomes (success and failure). It helps calculate the probability of a specific number of successes in a series of trials.

3. Engineering:

In engineering, the Binomial Theorem is applied in fields such as signal processing, where it is used to analyze and process signals and data.

4. Economics and Finance:

In finance and economics, the Binomial Theorem is used in option pricing models, such as the binomial options pricing model. It helps calculate the fair value of options and derivatives.

5. Physics:

In physics, the Binomial Theorem plays a role in various calculations related to wave functions, quantum mechanics, and statistical mechanics.

6. Computer Science:

Computer algorithms often involve combinatorial calculations, and the Binomial Theorem is used to optimize and solve problems in computer science and programming.

7. Chemistry:

In chemistry, the Binomial Theorem is applied to solve problems related to chemical reactions and kinetics, particularly in modeling reaction rates and reaction mechanisms.

8. Genetics and Biology:

Geneticists use the Binomial Theorem in population genetics to analyze allele frequencies and the probability of genetic traits being passed from one generation to the next.

9. Education:

The Binomial Theorem is taught in mathematics education as a fundamental concept in algebra and combinatorics. It helps students understand the concept of expanding binomial expressions.

10. Cryptography:

In cryptography, the Binomial Theorem is used in encryption and decryption algorithms, particularly in the creation of secure communication protocols.

Why is the Binomial Theorem important?

The Binomial Theorem is essential because it provides a powerful tool for expanding and simplifying binomial expressions, which arise in various mathematical, scientific, and practical contexts. Its applications extend across multiple fields, making it a valuable mathematical concept with real-world significance.

Understanding the Binomial Theorem enables mathematicians, scientists, engineers, economists, and other professionals to solve complex problems and make informed decisions in their respective domains.

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