Problem 10
Question
For a pair of positive numbers \(\alpha\) and \(\beta,\) the number \(\sqrt{\alpha \beta}\) is called the geometric mean of \(\alpha\) and \(\beta,\) and the number \((\alpha+\beta) / 2\) is called the arithmetic mean of \(\alpha\) and \(\beta\). By observing that \((\sqrt{\alpha}-\sqrt{\beta})^{2} \geq 0,\) show that \((\alpha+\beta) / 2 \geq \sqrt{\alpha \beta}\).
Step-by-Step Solution
Verified Answer
By expanding and rearranging the inequality \(\sqrt{\alpha}-\sqrt{\beta})^{2} \geq 0\), we derive \(\frac{\alpha + \beta}{2} \geq \sqrt{\alpha \beta}\).
1Step 1: Expand the inequality
Begin by expanding \(\sqrt{\alpha}-\sqrt{\beta})^{2} \geq 0\). It's a square of a binomial, so use the formula \(a-b)^2=a^2-2ab+b^2\) to get \(\alpha - 2\sqrt{\alpha}\sqrt{\beta} + \beta \geq 0\).
2Step 2: Rearrange the terms
Rearrange the inequality \(\alpha + \beta - 2\sqrt{\alpha}\sqrt{\beta} \geq 0\) to isolate the geometric mean on one side, which leads to \(\alpha + \beta \geq 2\sqrt{\alpha}\sqrt{\beta}\).
3Step 3: Divide both sides by 2
Divide each side of the inequality by 2 to solve for the arithmetic mean, resulting in \(\frac{\alpha + \beta}{2} \geq \sqrt{\alpha \beta}\), which is the required proof.
Key Concepts
Inequality ProofSquare of a BinomialArithmetic MeanGeometric MeanMean Comparison Theorem
Inequality Proof
An inequality proof is a mathematical demonstration that one quantity is less than, greater than, or equal to another. When dealing with means, particularly geometric and arithmetic means of positive numbers, we rely on such proofs to establish fundamental relationships.
Consider the proof for the inequality \(\frac{\alpha + \beta}{2} \geq \sqrt{\alpha \beta}\). The starting point—\((\sqrt{\alpha}-\sqrt{\beta})^{2} \geq 0\)—is an application of the basic principle that a square of any real number is non-negative. This implies \(\alpha - 2\sqrt{\alpha}\sqrt{\beta} + \beta \geq 0\), leading to the conclusion that the arithmetic mean is greater than or equal to the geometric mean.
Consider the proof for the inequality \(\frac{\alpha + \beta}{2} \geq \sqrt{\alpha \beta}\). The starting point—\((\sqrt{\alpha}-\sqrt{\beta})^{2} \geq 0\)—is an application of the basic principle that a square of any real number is non-negative. This implies \(\alpha - 2\sqrt{\alpha}\sqrt{\beta} + \beta \geq 0\), leading to the conclusion that the arithmetic mean is greater than or equal to the geometric mean.
Square of a Binomial
The square of a binomial such as \( (a-b)^2 \) is a classic algebraic pattern. It can be expanded into \( a^2 - 2ab + b^2 \), the sum of the squares of each term minus twice the product of the terms.
Understanding this formula helps in the manipulation of algebraic expressions and is essential in proving inequalities involving means. By recognizing the binomial square pattern, we can expand \( (\sqrt{\alpha} - \sqrt{\beta})^2 \) into \( \alpha - 2\sqrt{\alpha}\sqrt{\beta} + \beta \), forming the basis of our inequality proof.
Understanding this formula helps in the manipulation of algebraic expressions and is essential in proving inequalities involving means. By recognizing the binomial square pattern, we can expand \( (\sqrt{\alpha} - \sqrt{\beta})^2 \) into \( \alpha - 2\sqrt{\alpha}\sqrt{\beta} + \beta \), forming the basis of our inequality proof.
Arithmetic Mean
The arithmetic mean, commonly known as the average, is found by adding up all the numbers and dividing by the count of the numbers. In the context of two numbers \(\alpha \) and \(\beta\), the arithmetic mean is expressed as \(\frac{\alpha + \beta}{2}\).
This measure of central tendency is widely used in various fields to represent typical values. However, being an average, it can be heavily influenced by extreme values, which is a property worth considering when comparing different types of means.
This measure of central tendency is widely used in various fields to represent typical values. However, being an average, it can be heavily influenced by extreme values, which is a property worth considering when comparing different types of means.
Geometric Mean
The geometric mean of two positive numbers is the square root of their product. It is obtained using the formula \(\sqrt{\alpha \beta}\). Unlike the arithmetic mean, the geometric mean tends to dampen the effects of very large or small values, which makes it useful in situations where those values are outliers or not representative of the data set.
Geometric mean finds extensive application in financial analyses and growth rates because it accurately reflects the compounding effect over time.
Geometric mean finds extensive application in financial analyses and growth rates because it accurately reflects the compounding effect over time.
Mean Comparison Theorem
The mean comparison theorem is a handy tool in statistics and other disciplines, stating that for any two positive numbers \(\alpha \) and \(\beta\), the arithmetic mean is always larger than or equal to the geometric mean. This theorem is formally expressed as \(\frac{\alpha + \beta}{2} \geq \sqrt{\alpha \beta}\), implying that the average of the numbers is never less than the square root of their product.
This theorem is not only foundational in understanding the relationships between different means but also has practical implications, such as in optimizing problems where resources are allocated between different options or in geometric constructions and proofs.
This theorem is not only foundational in understanding the relationships between different means but also has practical implications, such as in optimizing problems where resources are allocated between different options or in geometric constructions and proofs.
Other exercises in this chapter
Problem 9
A sequence \(\left\\{a_{n}\right\\}\) was defined to be bounded provided that there is a number \(M\) such that \(\left|a_{n}\right| \leq M \quad\) for every in
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Prove that the Archimedean Property of \(\mathbb{R}\) is equivalent to the fact that \(\lim _{n \rightarrow \infty} 1 / n=0\).
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For each natural number \(n,\) let \(I_{n}\) be a closed bounded interval. Suppose that \(\left\\{I_{n}\right\\}_{n=1}^{\infty}\) covers the compact set consist
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Prove that a sequence \(\left\\{a_{n}\right\\}\) does not converge to the number \(a\) if and only if there is some \(\epsilon>0\) and a subsequence \(\left\\{a
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