/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 50 Will help you prepare for the ma... [FREE SOLUTION] | 91Ó°ÊÓ

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Will help you prepare for the material covered in the next section. Each exercise involves observing a pattern in the expanded form of the binomial expression \((a+b)^{n}\). \((a+b)^{1}=a+b\) \((a+b)^{2}=a^{2}+2 a b+b^{2}\) \((a+b)^{3}=a^{3}+3 a^{2} b+3 a b^{2}+b^{3}\) \((a+b)^{4}=a^{4}+4 a^{3} b+6 a^{2} b^{2}+4 a b^{3}+b^{4}\) \((a+b)^{5}=a^{5}+5 a^{4} b+10 a^{3} b^{2}+10 a^{2} b^{3}+5 a b^{4}+b^{5}\) Describe the pattern for the exponents on a.

Short Answer

Expert verified
The pattern for the exponents on 'a' starts from 'n' and decreases by 1 till it hits 0 in each term of the expanded binomial expression \((a+b)^{n}\).

Step by step solution

01

Observing the Pattern

The first step is to attentively observe the terms of each binomial expansion. Consider the series of exponents on 'a' in each expansion.
02

Deducing Relationship

On observing, we witness a distinct pattern, where in each expansion the exponent of 'a' starts from 'n' (the power on \(a+b\)) and decreases by 1 until it reaches 0.
03

Conclusion

The pattern for the exponents on 'a' in the binomial expression \((a+b)^{n}\) are such that, it starts from 'n' and decreases by 1 till it hits 0 in each term of the expansion. This pattern is consistent across all the given binomial expansions.

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Key Concepts

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

Binomial Expansion
The binomial expansion is a way to express a power of a binomial as a sum of terms. These terms are made up of products of the binomial's individual elements, each raised to a power. This concept is fundamental in algebra and combinatorics, as it helps in expanding expressions of the form \((a+b)^n\).

One interesting aspect of binomial expansion is the pattern of exponents observed within each term of the expanded form. In this pattern, for any term \((a+b)^n\), the exponents of the component "a" start from \(n\) and decrease down to 0. Simultaneously, the exponents of "b" start from 0 and increase up to \(n\) as you move from the first to the last term.

Similarly, the coefficients of these terms in the expansion are given by the binomial coefficients, which can be found using Pascal's Triangle or by calculating combinations \(\binom{n}{k}\) where \(k\) is the specific term index from 0 to \(n\). These coefficients are crucial as they provide the necessary weights to each term in the expanded expression.
Exponents
Exponents are a key mathematical operation used to represent repeated multiplication of a number by itself. In binomial expansions, exponents dictate how many times each component of the binomial is multiplied. A clear understanding of how exponents function is crucial when working with binomial expansions.

In any binomial expression \((a+b)^n\), exponents reveal a systematic method for distributing powers across terms in an orderly fashion. For example, the term involving the highest exponent of \(a\) will have zero as the exponent for \(b\), and this exponent pattern shifts by one for each progressive term in the expansion.

This understanding allows us to efficiently calculate each term's contribution to the full expression without individually multiplying everything out. Recognizing the relationship between exponents also extends beyond simple calculations and can assist in identifying deeper algebraic properties and identities.
Polynomial Expansion
Polynomial expansion is the process of expressing a polynomial as a sum of terms. Each term in this expansion contains coefficients and variables raised to certain powers. Through binomial expansions, we witness a structured technique that extends polynomial expansion.

Binomial theorem aids in expanding polynomials that are specifically in the form \((a+b)^n\). The methodical arrangement of coefficients and variable powers offer a straightforward approach to represent such large expressions in more manageable segments.

A polynomial expansion systematically applies algebraic rules, especially power rules for exponents, to break down a complex binomial raised to a power into simpler, component terms. This is vital in higher-level mathematics as it simplifies computations in calculus, probability, and other areas by transforming intricate problems into more elementary forms.
  • This systematic approach is not only crucial for problem-solving but also offers a visual and methodological framework for understanding polynomial behaviors and properties.

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Most popular questions from this chapter

Use the formula for the value of an annuity to solve Exercises 77–84. Round answers to the nearest dollar. To offer scholarship funds to children of employees, a company invests \(\$ 10,000\) at the end of every three months in an annuity that pays \(10.5 \%\) compounded quarterly. a. How much will the company have in scholarship funds at the end of ten years? b. Find the interest.

Explaining the Concepts Explain how to find or probabilities with mutually exclusive events. Give an example.

Will help you prepare for the material covered in the next section. Use the formula \(a_{n}=a_{1} 3^{n-1}\) to find the seventh term of the sequence \(11,33,99,297, \ldots\)

For the first 30 days of a flu outbreak, the number of students on your campus who become ill is increasing. Which is worse: The number of students with the flu is increasing arithmetically or is increasing geometrically? Explain your answer.

Explaining the Concepts The president of a large company with \(10,000\) employees is considering mandatory cocaine testing for every employee. The test that would be used is \(90 \%\) accurate, meaning that it will detect \(90 \%\) of the cocaine users who are tested, and that \(90 \%\) of the nonusers will test negative. This also means that the test gives \(10 \%\) false positive. Suppose that \(1 \%\) of the employees actually use cocaine. Find the probability that someone who tests positive for cocaine use is, indeed, a user. Hint: Find the following probability fraction: the number of employees who test positive and are cocaine users the number of employees who test positive This fraction is given by $$ 90 \% \text { of } 1 \% \text { of } 10,000 $$ the number who test positive who actually use cocaine plus the number who test positive who do not use cocaine What does this probability indicate in terms of the percentage of employees who test positive who are not actually users? Discuss these numbers in terms of the issue of mandatory drug testing. Write a paper either in favor of or against mandatory drug testing, incorporating the actual percentage accuracy for such tests.

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