Problem 11
Question
List the first five terms of the sequence. \( a_1 = 2, a_{n+1} = \frac {a_n}{1 + a_n} \)
Step-by-Step Solution
Verified Answer
The first five terms are 2, \(\frac{2}{3}\), \(\frac{2}{5}\), \(\frac{2}{7}\), \(\frac{2}{9}\).
1Step 1: Identify the First Term
The first term of the sequence is given as \( a_1 = 2 \). This is the initial value from which we will derive subsequent terms.
2Step 2: Calculate the Second Term Using the Recursive Formula
To find the second term \( a_2 \), apply the given formula: \( a_{n+1} = \frac{a_n}{1 + a_n} \). Substitute \( a_1 = 2 \) into the formula:\[ a_2 = \frac{2}{1 + 2} = \frac{2}{3}. \]
3Step 3: Calculate the Third Term
Use the formula for \( a_3 \) by substituting \( a_2 = \frac{2}{3} \):\[ a_3 = \frac{\frac{2}{3}}{1 + \frac{2}{3}} = \frac{\frac{2}{3}}{\frac{5}{3}} = \frac{2}{5}. \]
4Step 4: Calculate the Fourth Term
Find \( a_4 \) by substituting \( a_3 = \frac{2}{5} \) into the formula:\[ a_4 = \frac{\frac{2}{5}}{1 + \frac{2}{5}} = \frac{\frac{2}{5}}{\frac{7}{5}} = \frac{2}{7}. \]
5Step 5: Calculate the Fifth Term
Calculate \( a_5 \) by substituting \( a_4 = \frac{2}{7} \) into the formula:\[ a_5 = \frac{\frac{2}{7}}{1 + \frac{2}{7}} = \frac{\frac{2}{7}}{\frac{9}{7}} = \frac{2}{9}. \]
6Step 6: List the First Five Terms
Now that all terms are calculated, list the first five terms of the sequence: \( 2, \frac{2}{3}, \frac{2}{5}, \frac{2}{7}, \frac{2}{9} \).
Key Concepts
Sequence Terms CalculationRecursive FormulaMathematical Sequences
Sequence Terms Calculation
Calculating terms in a sequence can seem challenging at first, but once you grasp the basic steps, it becomes much simpler. In sequences where each term depends on the previous one, like in the given exercise, it's crucial to start from the known initial term and apply the recipe, or formula, to find the following terms.
- **Start from the Known**: Begin with the given first term. In our exercise, this was \( a_1 = 2 \).
- **Follow the Formula**: Use the recursive relationship to find the next terms. This is your guide to deriving subsequent terms from the previous ones.
- **Step-by-Step Calculation**: Each step involves taking the last calculated term and using it to compute the next. For example, using \( a_1 = 2 \) to find \( a_2 \) as \( \frac{2}{3} \).
Recursive Formula
A recursive formula is a way to express each term of a sequence based on its previous term(s). This method of defining sequences is powerful because it transforms complex problems into smaller, manageable steps.
- **Connection Between Terms**: Unlike explicit formulas, recursive formulas relate each term directly to the one before it. This means you need to know the previous term to compute the next one.
- **Example in Action**: In our sequence, each term was calculated using the formula \( a_{n+1} = \frac{a_n}{1 + a_n} \). To find \( a_{n+1} \), we first calculated \( a_n \).
- **Practical Benefit**: Recursive formulas help break down calculations into smaller steps while discovering patterns and relationships between the terms.
Mathematical Sequences
Mathematical sequences are ordered lists of numbers and are an essential concept in mathematics, existing in various types and complexities. They help us describe patterns, relationships, and change over time in an organized manner.
- **Types of Sequences**: Sequences can be arithmetic, geometric, or recursive, among other types. Each type has its own set of rules for generating terms.
- **Applications**: Sequences appear in numerous real-world scenarios from predicting business profits, analyzing biological data, to understanding rhythms in nature.
- **Understanding the Pattern**: Recognizing the pattern of sequences is key to solving sequence problems, often simplifying complex problems into smaller, easier pieces.
Other exercises in this chapter
Problem 11
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Use a computer algebra system to find the Taylor polynomials \( T_n \) centered at \( a \) for \( n \) = 2, 3, 4, 5. Then Graph these polynomials and \( f \) on
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Find the Maclaurin series for \( f(x) \) using the definition of a Maclaurin series. [ Assume that \( f \) has a power series expansion. Do not show that \( R_n
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