Sequences and series are fundamental topics in precalculus, providing a foundation for calculus and mathematical analysis. A sequence is an ordered list of numbers, while a series is the sum of the terms of a sequence.
Sequences
A sequence is a function whose domain is the set of positive integers. It can be defined explicitly by a formula or recursively by relating each term to previous terms.
1. Arithmetic Sequences
An arithmetic sequence is a sequence in which the difference between consecutive terms is constant.
General formula:
where:
is the th term,
is the first term,
is the common difference,
is the term number.
Example: If and , then:
2. Geometric Sequences
A geometric sequence is a sequence in which each term is obtained by multiplying the previous term by a constant ratio .
General formula:
where:
is the th term,
is the first term,
is the common ratio,
is the term number.
Example: If and , then:
3. Recursive Sequences
Some sequences are defined using previous terms rather than a formula.
Example: Fibonacci Sequence:
Factorial and Summation Notation
Factorial notation is used to represent the product of all positive integers up to a given number :
As a special case, zero factorial is defined as .
Example:
Summation notation (sigma notation) represents the sum of terms in a sequence:
where is the index of summation, is the upper limit of summation, and is the lower limit of summation.
Example:
Series
A series is the sum of the terms in a sequence.
1. Arithmetic Series
The sum of the first terms of an arithmetic sequence is given by:
Or equivalently:
Example: Find the sum of the first terms of the sequence :
2. Geometric Series
The sum of the first terms of a geometric sequence is:
Example: Find the sum of the first 5 terms of the sequence :
3. Infinite Geometric Series
If , the sum of an infinite geometric series is:
Example: Find the sum of :
Applications of Sequences and Series
Finance – Calculating compound interest using geometric sequences.
Physics – Modeling population growth and radioactive decay.
Engineering – Signal processing and wave patterns.
Computer Science – Algorithm analysis and recursion.