Problem 53
Question
It can be shown that $$(1+x)^{n}=1+n x+\frac{n(n-1)}{2 !} x^{2}+\frac{n(n-1)(n-2)}{3 !} x^{3}+\cdots$$ for any real number \(n\) ( not just positive integer values) and any real number \(x\), where \(|x|<1 .\) Use this result to approximate each quantity in Exercises \(53-56\) to the nearest thousandth. $$(1.02)^{-3}$$
Step-by-Step Solution
Verified Answer
Approximately 0.942.
1Step 1: Identify the Values
We have the expression \((1+x)^{n}\) where \(x = 0.02\) and \(n = -3\). Use these in the binomial series expansion to approximate \((1.02)^{-3}\).
2Step 2: Apply Binomial Expansion Formula
Using the binomial series expansion, substitute \(n = -3\) and \(x = 0.02\) into the expression:\[(1+x)^n = 1 + nx + \frac{n(n-1)}{2!}x^2 + \frac{n(n-1)(n-2)}{3!}x^3 + \cdots\]
3Step 3: Calculate the First Term
The first term is 1, since it is \[1\]
4Step 4: Calculate the Second Term
The second term is obtained by multiplying \(n = -3\) and \(x = 0.02\):\[-3 \times 0.02 = -0.06\]
5Step 5: Calculate the Third Term
The third term is given by \[ \frac{-3(-3-1)}{2}(0.02)^2 = \frac{-3(-4)}{2}(0.02)^2 = \frac{12}{2}(0.0004) = 6 \times 0.0004 = 0.0024\]
6Step 6: Calculate the Fourth Term
The fourth term is \[ \frac{-3(-4)(-5)}{6}(0.02)^3 = \frac{60}{6}(0.000008) = 10 \times 0.000008 = 0.00008\]
7Step 7: Sum the Terms
Add all calculated terms together to approximate the expression:\[1 - 0.06 + 0.0024 - 0.00008\]
8Step 8: Final Calculation
Perform the arithmetic:\[1 - 0.06 = 0.94\]\[0.94 + 0.0024 = 0.9424\]\[0.9424 - 0.00008 = 0.94232\]
9Step 9: Round to the Nearest Thousandth
Round the final approximation to the nearest thousandth:\[0.94232 \approx 0.942\]
Key Concepts
Real NumbersSeries ExpansionApproximation Techniques
Real Numbers
Real numbers include all the numbers we usually think of from our everyday lives, such as the whole numbers, fractions, and decimals. They can be positive, negative, or zero. Real numbers are important here because they allow us to handle a broader set of values in the binomial series expansion.
Unlike integers, which are whole numbers, real numbers fill in all the spaces between integers, providing a continuous sequence.
Unlike integers, which are whole numbers, real numbers fill in all the spaces between integers, providing a continuous sequence.
- Whole numbers like 3, 0, and -1.
- Decimals like 4.56 and -0.73.
- Fractions such as \(\frac{1}{2}\) and -\(\frac{5}{3}\).
Series Expansion
Series expansion is the technique of expressing a function as an infinite sum of terms. In mathematics, series are a concise format to approximate complex functions using simpler polynomials or recognizable terms for easier computation.
The binomial series provides a powerful tool for expanding the expression \((1 + x)^n\) into a more digestible form.
The binomial series provides a powerful tool for expanding the expression \((1 + x)^n\) into a more digestible form.
- The expansion starts with 1 and subsequent terms involve powers of \(x\).
- Each term in the series provides a more accurate approximation by capturing the contribution of higher powers of \(x\).
- The coefficients of these terms are derived from the binomial coefficients found in Pascal's triangle.
Approximation Techniques
Approximation techniques involve using mathematical tools and methods to find an estimated value that is close enough to the exact value, usually when direct calculation is too complex. In this exercise, the binomial series is used as an approximation technique, facilitating a simpler understanding of complex expressions.
The series expansion can be truncated to include only a few terms, providing a good approximation.
The series expansion can be truncated to include only a few terms, providing a good approximation.
- By calculating just the first few terms, \(1, -0.06, 0.0024, -0.00008\), we get a very close approximation of \((1.02)^{-3}\).
- The power of approximation is that it offers accuracy with a minimal number of calculations, indispensable for real-world computations.
- In practice, limiting the number of terms uses helps manage complexity, and much of mathematics involves striking this balance for practical applications.
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