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An object with negligible air resistance is dropped from a plane. During the first second of fall, the object falls \( 4.9 \) meters; during the second second, it falls \( 14.7 \) meters; during the third second, it falls \( 24.5 \) meters; during the fourth second, it falls \( 34.3 \) meters. If this arithmetic pattern continues,how many meters will the object fall in \( 10 \) seconds?

Short Answer

Expert verified
The object will fall \(92.3m\) in 10 seconds.

Step by step solution

01

Identify the Pattern

Each second, the distance the object falls is \(9.8m\) more than the previous second. This relationship can be recognized as an arithmetic sequence - each next term is obtained by adding the fixed number \(9.8m\) to the previous term.
02

Formulate an Equation

The general equation for calculating the nth term of an arithmetic sequence is \(a_n = a_1 + (n - 1) * d\), where \(a_n\) is the nth term, \(a_1\) is the first term, \(n\) is the term number, and \(d\) is the common difference. Given that the common difference \(d\) is \(9.8m\), and the first term \(a_1\) is \(4.9m\), we can insert these values into the formula to find the distance the object falls in 10 seconds.
03

Calculate the Distance

Using the formula, we can now calculate the distance the object falls in 10 seconds. Substituting \(n = 10\), \(d = 9.8m\) and \(a_1 = 4.9m\) into the formula gives us: \( a_{10} = 4.9m + (10 - 1) * 9.8m = 92.3m \).

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Key Concepts

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

Understanding Distance in Free Fall
When an object is in free fall, it means that it is falling solely under the influence of gravity, with negligible air resistance. This situation allows us to predict the object's behavior using physics principles.
The main factor influencing free fall is gravity, which causes the object to accelerate downwards. Near the Earth's surface, this acceleration is approximately \( 9.8 \text{ m/s}^2 \).
This constant acceleration helps us determine how far an object falls in a given time frame. For example, in the first second, a freely falling object will fall \( 4.9 \) meters, then fall further each consecutive second as its speed increases by \( 9.8 \text{ m/s} \).
The distance covered in each successive second increases, forming an arithmetic sequence that enables us to predict future distances.
The Nth Term Calculation of an Arithmetic Sequence
In math, an arithmetic sequence is a series of numbers with a consistent difference between successive terms.
When dealing with physical phenomena like free fall, we can use arithmetic sequences to calculate distances.
To find the distance fallen at a specific second, we use the formula for calculating the \( n \)-th term of an arithmetic sequence:
  • \( a_n = a_1 + (n - 1) \cdot d \)
Here,
  • \( a_n \) represents the distance fallen at the \( n \)-th second,
  • \( a_1 \) is the distance during the first second,
  • \( n \) is the time in seconds,
  • \( d \) is the consistent difference in distance fallen each second, which is \( 9.8 \) meters in this case.
Let's compute the distance fallen after ten seconds:\[a_{10} = 4.9 + (10 - 1) \times 9.8 \]\[a_{10} = 4.9 + 88.2 = 92.3 \text{ meters}\]This way, we neatly calculate specific distances using the arithmetic formula, simplifying our understanding of movement in free fall.
Pattern Recognition in Sequences
Pattern recognition is a critical skill in mathematics, especially in sequences like those seen in free fall distances. Identifying patterns allows us to generalize and predict beyond the given data.
In our example, each second records an increase of \( 9.8 \) meters in fall distance. This regularly occurring difference signals that the sequence is arithmetic.
Recognizing this pattern enables us to apply formulas for quick calculations without error-prone manual counting.
  • Look for constant differences between terms.
  • Identify the type of sequence, such as arithmetic or geometric.
  • Use this knowledge to formulate algebraic expressions that capture the sequence's behavior.
Through mastering pattern recognition, we can handle complicated physical systems with confidence and predict future steps effectively.

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