Geometric Series
- Formula for the Sum of a Geometric Series
- Convergence of Geometric Series
- Applications of Geometric Series
Formula for the Sum of a Geometric Series
A geometric series is a series where each term is obtained by multiplying the previous term by a constant ratio
Where:
is the first term. is the common ratio (the factor by which each term is multiplied to get the next term).
Formula for the Sum of the First Terms:
The sum of the first
Where:
is the sum of the first terms. is the first term. is the common ratio. is the number of terms.
Example:
Find the sum of the first 5 terms of the geometric series where
Convergence of Geometric Series
Infinite Geometric Series:
An infinite geometric series is one where the number of terms approaches infinity. The sum of an infinite geometric series is given by the limit of the partial sums as
If
If
Example:
Find the sum of the infinite geometric series
- Here,
and . - Since
, the series converges. - The sum is:
Divergence of Geometric Series:
If
Example of Divergence:
The geometric series
Applications of Geometric Series
1. Finance: Calculating Compound Interest
Geometric series are used in finance to calculate the future value of investments with compound interest.
Example:
Consider an investment with an initial amount
This formula comes from summing the powers of
2. Physics: Motion and Damping
Geometric series arise in physics when studying systems with exponential decay or damping, where successive displacements or amplitudes form a geometric sequence.
Example:
A ball dropped from a height that bounces back to half its height each time forms a geometric series. The total distance the ball travels before coming to rest is:
Where
3. Computer Science: Algorithm Analysis
Geometric series are used in computer science to analyze the time complexity of recursive algorithms, particularly those that involve dividing a problem into smaller subproblems.
Example:
In the merge sort algorithm, each recursive division step splits the input array in half, forming a geometric series in terms of time complexity.
4. Signal Processing: Fourier Series
Geometric series are applied in signal processing to represent periodic functions as sums of sines and cosines, enabling frequency analysis in signals.