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Prove the property for all integers \(r\) and \(n\) where \(0 \leq r \leq n\).$$_{n} C_{0}-_{n} C_{1}+_{n} C_{2}-\cdots \pm_{n} C_{n}=0$$.

Short Answer

Expert verified
The proof shows that the sum of alternating binomial coefficients equals zero for all integers \(n\), as expressed by the property \(_{n} C_{0} - _{n} C_{1} + _{n} C_{2} - \cdots \pm _{n} C_{n} = 0\). The Binomial Theorem and the definition of binomial coefficients are used to reach this conclusion.

Step by step solution

01

Understand Binomial Coefficients

The term \(_{n} C_{r}\) refers to the number of ways to choose \(r\) items from \(n\) items, and is equal to \( \frac{n!}{r!(n-r)!} \), where ! denotes the factorial function. This property is fundamental to the reasoning applied in this proof.
02

Apply the Binomial Theorem

The Binomial Theorem states that \((x+y)^n = \sum_{r=0}^{n} {_{n} C_{r} x^{n-r} y^r}\). We can apply this theorem by setting \(x = 1\) and \(y = -1\). This gives us \((1 - 1)^n = \sum_{r=0}^{n} {_{n} C_{r} 1^{n-r} (-1)^r}\), which simplifies to \(0 = \sum_{r=0}^{n} {_{n} C_{r} (-1)^r}\).
03

Simplify the Alternating Series

The sum \(\sum_{r=0}^{n} {_{n} C_{r} (-1)^r}\) forms an alternating series of binomial coefficients. According to the property that's being proved, we have \(_{n} C_{0} - _{n} C_{1} + _{n} C_{2} - \cdots \pm _{n} C_{n}\). This matches our simplified binomial expression from Step 2, confirming that this expression indeed equals zero for all integers \(n\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding Binomial Coefficients
The concept of binomial coefficients is essential in combinatorics. These coefficients are used to determine the number of ways to choose a certain number of elements from a larger set without regard to the order of selection. More formally, the binomial coefficient is denoted as \(_{n} C_{r}\) and is calculated using the formula: \( \frac{n!}{r!(n-r)!} \).
This formula involves the factorial function, which we will discuss in detail later. Understanding binomial coefficients helps us explore various mathematical expressions, including differences and summations in algebraic identities.
  • The binomial coefficient \(_{n} C_{r}\) represents choosing \(r\) items from \(n\) items.
  • It is pivotal in expanding expressions using the Binomial Theorem.
  • Binomial coefficients feature prominently in alternating series and other computational methods.
By mastering this concept, you can solve many combinatorial problems and delve into more profound mathematical analysis.
Exploring Alternating Series
An alternating series is a sequence of terms where consecutive terms change signs, typically represented as the sum of terms \((a_0) - (a_1) + (a_2) - \cdots\). When we apply this to binomial coefficients, as seen in the original problem, it leverages the properties of alternating series.
In the context of the binomial coefficient equation \(_{n} C_{0} - _{n} C_{1} + _{n} C_{2} - \cdots \pm _{n} C_{n} = 0\), we are observing an alternating sum. This sum simplifies due to symmetry and the Binomial Theorem.
  • Each binomial coefficient corresponds to a term in the alternating series.
  • The alternating nature uses a pattern of "+" and "-", which cancels out over the full range.
  • This series is zero for all integers \(n\) due to the symmetrical properties inherent in the binomial expansion when \((x=1, y=-1)\).
Recognizing when a series is alternating aids in simplifying complex algebraic expressions.
Understanding the Factorial Function
The factorial function is a fundamental mathematical function used to calculate permutations and combinations. Denoted by \(!\), it's defined for a non-negative integer \(n\) as \(n! = n \times (n-1) \times (n-2) \times \cdots \times 1\) with the special case that \(0! = 1\).
This function is crucial in the calculation of binomial coefficients, as seen in the formula \( \frac{n!}{r!(n-r)!} \). Each part of the fraction corresponds to different sets of selections within combinations and permutations. The factorial function not only calculates the total possible arrangements but also accounts for selections of subsets.
  • Factorials grow very quickly, becoming large as \(n\) increases.
  • They are indispensable in various fields like probability, statistics, and algebra.
  • In computing binomial coefficients, factorials simplify to provide integer results for the number of ways to arrange or select objects.
Mastering the factorial function empowers you to solve a myriad of mathematical problems efficiently.

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Most popular questions from this chapter

Use the following definition of the arithmetic mean \(\bar{x}\) of a set of \(n\) measurements \(x_{1}, x_{2}, x_{3}, \ldots, x_{n}\) \(\bar{x}=\frac{1}{n} \sum_{i=1}^{n} x_{i}\) $$\text { Prove that } \sum_{i=1}^{n}\left(x_{i}-\bar{x}\right)^{2}=\sum_{i=1}^{n} x_{i}^{2}-\frac{1}{n}\left(\sum_{i=1}^{n} x_{i}\right)^{2}$$

Use the Binomial Theorem to expand the complex number. Simplify your result. $$(5-\sqrt{3} i)^{4}$$

Evaluate \(_{n} C_{r}\) using the formula from this section. \(_{6} C_{3}\)

Simplify the difference quotient, using the Binomial Theorem if necessary.\(\frac{f(x+h)-f(x)}{h}\). $$f(x)=x^{8}$$

The table shows the average prices \(f(t)\) (in cents per kilowatt hour) of residential electricity in the United States from 2003 through 2010 . (Source: U.S. Energy Information Administration ).$$\begin{array}{|c|c|}\hline \text { Year } & \text { Abcrage Poids }(10) \\\\\hline 2003 & 8.72 \\\2004 & 8.95 \\\2005 & 9.45 \\\2006 & 10.40 \\\2007 & 10.65 \\\2008 & 11.26 \\\2009 & 11.51 \\\2010 & 11.58 \\\\\hline\end{array}$$.(a) Use the regression feature of a graphing utility to find a cubic model for the data. Let \(t\) represent the year, with \(t=3\) corresponding to 2003 (b) Use the graphing utility to plot the data and the model in the same viewing window. (c) You want to adjust the model so that \(t=3\) corresponds to 2008 rather than \(2003 .\) To do this, you shift the graph of \(f\) five units to the left to obtain \(g(t)=f(t+5) .\) Use binomial coefficients to write \(g(t)\) in standard form. (d) Use the graphing utility to graph \(g\) in the same viewing window as \(f\) (e) Use both models to predict the average price in \(2011 .\) Do you obtain the same answer? (f) Do your answers to part (e) seem reasonable? Explain. (g) What factors do you think may have contributed to the change in the average price?

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