Applications of the Binomial Theorem

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SUMMARY

The discussion focuses on the derivation and applications of the Binomial Theorem and the binomial series. The binomial series is expressed as (x+a)^{v} = ∑_{k=0}^{∞}binom{v}{k}x^{k}a^{v-k}, where v is a real number. It is established that the Binomial Theorem follows from the binomial series when v is a positive integer n, resulting in a finite series that terminates at k=n. Additionally, the binomial series is applicable in special relativity for approximations involving the factor γ, where ε = -(v/c)² and v = -½.

PREREQUISITES
  • Understanding of Taylor's Theorem and Taylor Series
  • Familiarity with binomial coefficients and their properties
  • Basic knowledge of special relativity concepts
  • Mathematical proficiency in series convergence
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  • Study the derivation of Taylor Series and its applications
  • Explore the properties and applications of binomial coefficients
  • Research the role of series expansions in special relativity
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Mathematicians, physicists, and students studying calculus or special relativity who seek to understand the applications and implications of the Binomial Theorem and binomial series.

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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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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