Is there a way to transform a recursively defined sequence into an explicitly defined sequence?
Yes!
Through iteration.
In our previous lesson, we learned that we could specify an array of numbers recursively or explicitly, and we investigated some essential formulas and summations as they help us in defining sequences.
But if you remember, we had to do a lot of “guess and check” to see if our answer was valid.
Our goal in this lesson is to solve a recurrence relation for a closed-form solution using iteration, also known as backtracking, that helps eliminate most of the guesswork.
The idea behind this method is to substitute terms of the sequence by expanding, or iterating, the recurrence relation as a sum of terms dependent on n and the initial condition. We do this by working backward from the last term.
Example
It is our job to solve the recurrence relation using iteration.
This means we can generalize a sum of terms that is dependent on n only.
And that is how we use iteration, or backtracking, to solve recurrence relations.
Together we will work through countless examples in detail. We will use iteration and our summation techniques as well as our rules for geometric series, summation for factorials and exponents, and even algebraic sequences to help us solve more challenging recurrence relations and find closed-form solution.
Let’s get to it.
Video Tutorial w/ Full Lesson & Detailed Examples
1 hr 39 min
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