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Chapter 8 · Predicting What Comes Next: Exploring Sequences and Progressions

A recursive rule builds each term from the ones before it

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Sequences and the two kinds of rule10 min

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10 min.

Also recorded in Hindi.Englishहिन्दी

“Add 3 each time” sounds like a rule. It is satisfied by infinitely many different sequences, so something is still missing.

The idea

A recursive rule describes the step rather than the destination, and that is why it is often the truer description of a pattern: the three step-shaped items §8.3 puts in front of a student — 1, 4, 7, 10, 13; the doubling-and-adding-three rule; and the one that multiplies each term by the number just below it — all specify what happens next, not what happens at position 400. So does the poetry sequence this section is built around. The price is that a step alone specifies nothing — add 3 each time describes a whole family of sequences, one for every starting value — so a recursive rule is only complete when it carries its seed, and it needs one seed for every earlier term it reaches back to. The two rule types are therefore not rivals: one is cheap to state and expensive to use, the other the reverse.

What you should be able to do

  • Read a recursive rule as an instruction relating a term to the term before it
  • Generate the first several terms of a sequence from a recursive rule and its seed
  • Explain why the seed is part of the rule, by producing two sequences that share a step and differ in their first term
  • State the condition n ≥ 2 correctly and say what would go wrong without it
  • Write a recursive rule for a sequence given in list form
  • Handle a rule that reaches back two or three terms, and say how many seeds it needs
  • Decide whether a stated number is a term of a recursively defined sequence, and say what makes that harder here than with an explicit rule
  • Identify the Virahānka–Fibonacci sequence and place its history

Words to know

TermDefinition in one lineFirst introduced
recursive rulea rule giving a term from the values of earlier termsprinted in bold in §8.3, p. 178
recursive formulathe same idea, named as a formula; the chapter prints both wordingsprinted in bold in §8.3, p. 178
Virahānka–Fibonacci sequence1, 2, 3, 5, 8, 13, … where each term is the sum of the two before itprinted as the heading of the boxed passage on p. 179
VṛttajātisamuchayaVirahānka's work, where the sequence was first set downprinted in italics in the p. 179 passage
seedthe starting value or values a recursive rule must be givenan added term, not printed in this chapter; the book states the starting values without labelling them
stepthe operation carried out to get from one term to the nextan added shorthand; not a printed term here

Where people slip up

  • "The recursive rule is the lazy version of the real formula." For the Virahānka sequence the recursion is the definition; the chapter offers no explicit rule for it at all, in this chapter or in the summary. Some patterns are natively step-shaped.
  • "A step is a rule." "Add 3 each time" is satisfied by infinitely many sequences. Show the seed-1 and seed-−5 lists side by side until the class volunteers that something is missing.
  • **"n ≥ 2 is just notation."** Without it the rule would demand a term before the first one. For a rule reaching back two places the condition is n ≥ 3, and for the three-deep exercise it is n ≥ 4 — the number tracks how far back the step reaches, and so does the number of seeds.
  • **"tₙ₋₁ means tₙ minus 1."** It means the previous term. Subtracting one from a term and stepping back one position are different operations, and this is where recursive notation most often breaks down.
  • "If a rule is recursive I cannot answer membership questions." You can; it just costs a walk. The chapter's own instruction for the 133 question is to keep computing terms until you have passed the candidate — and passing it is the proof, provided the sequence is increasing.
  • "Virahānka–Fibonacci starts 1, 1." This chapter starts it 1, 2. Both conventions exist; the printed one here is 1, 2, and an examination answer should follow the seeds it is given rather than a remembered version.
  • "Two different rules cannot give the same sequence." End-of-Chapter problems 14 and 15 exist to break exactly that belief.
Transcript1,446 words

Here is a list you have seen before: one, four, seven, ten, thirteen. There is a rule that produces it from the position. Three n minus two. Put in four and you get ten, without touching any other term. But the list says something that rule does not. Every term is three more than the one before it. That is a second description, and it is a description of a different thing.

The first says where a term is. The second says what happens next. Written down, it is this: the nth term is the term before it, plus three. Now watch that description fail on its own. Add three each time. Start anywhere you like. Start at one and you get one, four, seven, ten, thirteen. Start at minus five and you get minus five, minus two, one, four, seven. Same step. Different sequence.

Run it from thirteen different starting values and you get thirteen different sequences, every one adding three. So the step alone has not named a sequence. It has named a whole family of them. The starting value is not a preliminary you do before the rule begins. It is part of the rule. Call it the seed, and a step without a seed is only half a description. Those two sequences are not strangers.

One, four and seven turn up in both of them. In fact every value they share sits exactly two places later in the second one. Seven is the third term of one sequence and the fifth term of the other. Fifty-two is the eighteenth term of one and the twentieth of the other. The only values one has that the other has not are the two it starts below zero with: minus five and minus two.

So the seed did not change which numbers appear. It changed where they sit. And a sequence is a value with a position, so that is quite enough to make them two different sequences. Written out properly, a step rule always comes with a condition on n. The nth term is the term before it plus three, for n at least two. That condition is not decoration. Watch what happens without it.

At position one, the rule would ask for the term before the first term. There is no such term, so the rule cannot be asked. That is why the seed is given instead. Now change the step so that it reaches back two terms rather than one. Then positions one and two are both out of reach, and the condition becomes n at least three. Reach back three, and it becomes n at least four.

The number in the condition is not a convention. It is how far back the step reaches, plus one. And that same number is how many seeds you have to be given. One piece of notation trips people more than any other. The symbol t with n minus one underneath does not mean the nth term minus one. It means the term one position earlier. In our list, the fourth term is ten and the term before it is seven.

Ten minus one is nine, and nine is not in the sequence at all. Stepping back one position and subtracting one from a value are different operations. There is exactly one kind of sequence where they agree, and they agree by accident: the one whose step is add one. For every other step in this video they never agree, at any position. Steps do not have to be additions. Take this one: each term is double the term before it, plus three.

Seed it at one, for n at least two. Double one and add three: five. Double five and add three: thirteen. Double thirteen and add three: twenty-nine. One, five, thirteen, twenty-nine. Notice that at no point did we use the position. We used the term standing in front of us, and nothing else. Now the question. Is a hundred and thirty-three a term of that sequence? With a position rule you would write an equation and solve it.

With a step rule there is no equation to write. There is only the walk. So walk. After twenty-nine comes sixty-one. After sixty-one, a hundred and twenty-five. And after a hundred and twenty-five, two hundred and fifty-three. It stepped straight over a hundred and thirty-three without landing on it. The sequence has passed the candidate, so the answer is no. That argument is not free. Passing a value proves you will never reach it only if the sequence is going up and staying up.

Here is one that is not. Start at ten, and each term is the distance from seven of the term before. Ten, three, four, three, four. It passed four and then came back to it. Here is another. Start at five and stay where you are. For sequences like those, walking past a number settles nothing at all. There is also a way to settle it outright, a step beyond this idea.

Add three to every term of that doubling sequence: four, eight, sixteen, thirty-two, sixty-four. Every term is three less than a power of two, and a hundred and thirty-six is not a power of two. So no amount of further walking could ever produce it. Not far enough. Never. Steps can also run away from you. Start at three. Each term is the term before it, multiplied by the number just below it.

Three times two is six. Six times five is thirty. Thirty times twenty-nine is eight hundred and seventy. Eight hundred and seventy times eight hundred and sixty-nine is seven hundred and fifty-six thousand and thirty. The next one is past half a trillion, and we are still only at the sixth term. By that same sixth term, adding three has not yet reached a thousand. The step is using its term twice, and that is what turns arithmetic into an avalanche.

Some patterns are step-shaped by nature, and here is the famous one. The seeds are one and two. After that, each term is the sum of the two before it. Two plus one is three. Three plus two is five. Five plus three is eight. One, two, three, five, eight, thirteen, twenty-one, thirty-four, and then fifty-five and eighty-nine. It was written down in the seventh century by Virahanka, who reached it by counting the ways a line of poetry can be built from short and long syllables.

Gopala studied it around eleven thirty-five, Hemachandra around eleven fifty, and Fibonacci around twelve hundred. You may have met it starting one, one instead of one, two. Both are in circulation. Every term of this one sits one place later in that one, so say which seeds you are using before you compute anything. And notice what is missing here: nobody has offered you a rule that computes the fortieth term from the number forty.

If a step can reach back two, it can reach back three. Seeds one, two and four. After that, each term is the total of the three standing before it. One plus two plus four is seven. Two plus four plus seven is thirteen. Four plus seven plus thirteen is twenty-four, then forty-four, then eighty-one. Three seeds, because the step reaches back three, and the condition is n at least four.

Change any one of those seeds and the whole sequence changes, which is the proof that all three are doing work. As far back as the step reaches, that is how many terms you must be handed. One last warning, and then the choice. Start at one and two, and let each term be one more than the total of everything before it. You get one, two, four, eight, sixteen, thirty-two.

Start at one and two again, and let each term be two more than the total of everything up to two places back. That gives one, two, three, five, eight, thirteen, twenty-one, thirty-four. The same sequence we just met, from a rule of a completely different shape. So a sequence is not the same thing as the rule that happens to produce it. Which leaves the practical question: which description do you want?

Reaching the four hundredth term by stepping costs three hundred and ninety-nine steps. Reaching it from the position costs two operations. But some patterns have no position rule at hand, and for those the step is not the lazy version. It is the definition. A step rule is cheap to state and expensive to use. A position rule is the other way round. Ask what the question is shaped like, and take the description that matches it.

Where this fits

Taken from the notes each video was made from, not from the reading order — these are the ideas this one rests on and the ones that later rest on it.

Builds on

Comes up again in

The book

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