12.5 Recursive Rules

Explicit against recursive rules, generating terms from a recursive rule, writing recursive rules for arithmetic and geometric sequences and for the Fibonacci and factorial sequences, recursive models with long-run behaviour, and iterating a function.

Subject: Algebra 2 · 65 slides · symbolic lesson

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What this lesson covers

The lesson, slide by slide

1. Lesson 12.5 Recursive Rules

Title

Algebra 2 · Chapter 12 — Sequences and Series

Use Recursive Rules with Sequences and Functions

2. By the end of this lesson you can

Objectives

Five outcomes. A different way to say what a sequence is.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 827-831 — the lesson these objectives are drawn from

3. What you already have

Warm-up

Every rule so far in this chapter has been explicit: a_n written directly in terms of n.

Discussion prompt

The sequence 1, 5, 9, 13, 17 has the explicit rule a_n = 1 + 4n starting at n equal to 0. Describe the same sequence WITHOUT mentioning n at all.

Hint: Say where it starts and what each step does.

Answer:

Start at 1, and each term is 4 more than the one before.

\[ a_0 = 1, \quad a_n = a_{n-1}+4 \]

That is a recursive rule: a starting term plus an equation saying how each term relates to the ones before it. It describes the same list from a completely different angle, and for some sequences it is the only description that is easy to write.

4. Describing the step, not the position

Concept

An explicit rule gives a_n as a function of the position n. A recursive rule gives the starting term or terms and an equation building each term from the ones before it. Both can describe the same sequence, and each is easier for different sequences.

recursive rule — A rule that gives the beginning term or terms of a sequence together with a recursive equation telling how a_n is related to one or more preceding terms. Both halves are required.

\[ \text{arithmetic: } a_n = a_{n-1}+d; \qquad \text{geometric: } a_n = r\,a_{n-1} \]

The Fibonacci and factorial sequences have simple recursive rules and awkward explicit ones, which is the clearest argument for the idea.

Figure (svg): Two columns comparing explicit and recursive rules

Both describe the identical list 1, 5, 9, 13, .... The explicit rule is faster to evaluate; the recursive one is often far easier to write down from a described process.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 827-828

5. Evaluating a recursive rule

Section

Section 1

6. Start at the given term and step forward

Concept

To generate terms from a recursive rule, write down the given starting term, then apply the recursive equation once for each further term, always using the value you just produced.

\[ a_0 = 1, \; a_n = a_{n-1}+4 \;\Longrightarrow\; 1,5,9,13,\dots \]

There is no shortcut. Reaching the fiftieth term means computing all forty-nine before it, which is the price of the recursive form.

Figure (svg): A recursive rule generating terms one link at a time

A recursive rule is a machine you have to run; an explicit rule is a shortcut past the running. Both describe the same list.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 827-827 — Evaluate recursive rules

7. One link at a time

Picture it

Example 1a: adding four each step.

Figure (svg): A recursive rule generating terms one link at a time

A recursive rule is a machine you have to run; an explicit rule is a shortcut past the running. Both describe the same list.

Each box is built from the one to its left. The explicit rule at the bottom describes the identical list but reaches any term at once.

8. Worked example: two recursive rules

Worked example

Example 1, both parts.

\[ \text{List six terms of } a_0 = 1, a_n = a_{n-1}+4 \text{ and of } a_1 = 1, a_n = 3a_{n-1}. \]

First: start at the given term

Why: A sub zero is 1.

\[ 1 \]

First: apply the equation five times

Why: Add 4 each step.

\[ 1, 5, 9, 13, 17, 21 \]

Second: start at the given term

Why: A sub one is 1.

\[ 1 \]

Second: apply the equation five times

Why: Multiply by 3 each step.

\[ 1, 3, 9, 27, 81, 243 \]

Figure (svg): A recursive rule generating terms one link at a time

A recursive rule is a machine you have to run; an explicit rule is a shortcut past the running. Both describe the same list.

\[ 1,5,9,13,17,21; \quad 1,3,9,27,81,243 \]

Verify: classify each sequence

Why: The first has constant differences of 4, so it is arithmetic; the second has constant ratios of 3, so it is geometric. That is not an accident — adding a constant in the recursive equation always gives arithmetic, and multiplying by one always gives geometric.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 827-827

9. Take one step

Fill the middle

Example 1b.

Fill in the blanks

a_1 = 1, \; a_n = 3a_27 \;\Longrightarrow\; a_4 = 3a_3 = 3(9) = ___

Why: Three times the third term, 9, gives 27. Each application uses the value produced by the last one.

10. Worked example: four more rules

Worked example

Guided Practice 1 to 4.

\[ \text{List five terms of each: } a_1 = 3, a_n = a_{n-1}-7; \; a_0 = 162, a_n = 0.5a_{n-1}; \; a_0 = 1, a_n = a_{n-1}+n; \; a_1 = 4, a_n = 2a_{n-1}-1. \]

First: subtract 7 each step

Why: Three, then negative 4, and so on.

\[ 3, -4, -11, -18, -25 \]

Second: halve each step

Why: One sixty-two, then 81.

\[ 162, 81, 40.5, 20.25, 10.125 \]

Third: add the position number

Why: One, then 1 plus 1, then 2 plus 2.

\[ 1, 2, 4, 7, 11 \]

Fourth: double and subtract 1

Why: Four, then 7, then 13.

\[ 4, 7, 13, 25, 49 \]

Figure (svg): The solution to Worked example four more rules shown as a ladder of expressions, one row per algebraic move

The whole solution at once: each drop is one legal move.

\[ 3,-4,-11,\dots; \; 162,81,40.5,\dots; \; 1,2,4,7,11; \; 4,7,13,25,49 \]

Verify: classify the third and fourth

Why: The third has differences 1, 2, 3, 4 — growing, so it is neither arithmetic nor geometric. The fourth has differences 3, 6, 12, 24, which double, so it is neither either. A recursive equation that mixes operations, or that mentions n, escapes both families.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 828-828

11. Trap: substituting a position number into the equation

Trap

The trap

\[ a_0 = 1, \; a_n = a_{n-1}+4 \]

Substitute n equal to 3 directly

Why: The equation is treated as if it were explicit.

\[ a_3 = 3-1+4 = 6 \quad \text{(wrong)} \]

The symbol a sub n minus 1 is the PREVIOUS TERM, not the number n minus 1. It is a term of the sequence, not an arithmetic expression.

The fix

\[ a_1 = 1+4 = 5, \; a_2 = 5+4 = 9, \; a_3 = 9+4 = 13 \]

Work forward one term at a time

Why: Each application uses the value just computed.

\[ a_3 = 13 \]

Reading a sub n minus 1 aloud as the term before this one, rather than as n minus 1, prevents the whole class of error.

12. Recursive rule to its terms

Matching

Start at the given term and step.

Match the pairs

  • l1. a_0 = 1, a_n = a_(n-1) + 4
  • l2. a_1 = 1, a_n = 3a_(n-1)
  • l3. a_0 = 1, a_n = a_(n-1) + n
  • l4. a_1 = 4, a_n = 2a_(n-1) - 1
  • r1. 1, 5, 9, 13, 17
  • r2. 1, 3, 9, 27, 81
  • r3. 1, 2, 4, 7, 11
  • r4. 4, 7, 13, 25, 49

Why: The third and fourth start out looking like doubling but are not: 1, 2, 4 then 7 breaks the pattern, and 4, 7, 13 was never doubling to begin with. Generating four or five terms is the only reliable way to see what a recursive rule does.

13. What family does it produce?

Sorting

Look at the shape of the recursive equation.

Sort into buckets

Sort each recursive equation by the kind of sequence it generates.

Arithmetic
a_n = a_(n-1) + 4; a_n = a_(n-1) - 7
Geometric
a_n = 3a_(n-1); a_n = 0.5a_(n-1)
Neither
a_n = 2a_(n-1) - 1
ari
Adding a constant each step is precisely the definition of a common difference.
geo
Multiplying by a constant each step is precisely the definition of a common ratio.
nei
Multiplying AND adding in the same step gives neither constant differences nor constant ratios.

The last shape, multiply then add, is the one Example 4 uses to model a real population, and it is exactly the shape that settles toward a stable level.

14. Which rule reaches a_50 faster?

Prediction

Commit before reasoning.

Predict first

The sequence 1, 5, 9, 13, ... has both an explicit and a recursive rule. Which finds a_50 with less work?

  • The recursive rule
  • The explicit rule, in one substitution; the recursive one needs fifty steps
  • They take the same work
  • Neither can find a_50

Correct: The explicit rule, in one substitution; the recursive one needs fifty steps.

\[ a_{50} = 1+4(50) = 201 \]

Why: The explicit rule 1 plus 4n gives 201 immediately at n equal to 50, while the recursive rule must produce every term in between. That is the price of the recursive form, and it is worth paying only when the recursive rule is much easier to WRITE — as it is for the Fibonacci sequence, where no simple explicit rule presents itself at all.

15. Writing recursive rules

Section

Section 2

16. State the start, then state the step

Concept

For an arithmetic sequence the recursive equation adds the common difference; for a geometric one it multiplies by the common ratio. Either way the rule must also give the first term.

\[ a_n = a_{n-1}+d; \qquad a_n = r\,a_{n-1} \]

A recursive equation without an initial term describes infinitely many different sequences, so the starting value is part of the rule, not an extra.

Figure (svg): The recursive equations for arithmetic and geometric sequences

The equation alone says how to step; the initial term says where to start. Omitting the start is the single most common mistake in this lesson.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 827-828 — Recursive Equations for Arithmetic and Geometric Sequences

17. Both halves of a rule

Picture it

The two standard shapes, and what a complete rule must contain.

Figure (svg): The recursive equations for arithmetic and geometric sequences

The equation alone says how to step; the initial term says where to start. Omitting the start is the single most common mistake in this lesson.

The equation says how to step; the initial term says where to start. Leave out either and the sequence is not determined.

18. Worked example: two recursive rules

Worked example

Example 2, both parts.

\[ \text{Write recursive rules for } 3,13,23,33,43,\dots \text{ and } 16,40,100,250,625,\dots \]

First: test for a common difference

Why: Thirteen minus 3 is 10, and so on.

First: write both halves

Why: The first term and the step.

\[ a _{1} = 3, a _{n} = a _{n - 1} + 10 \]

Second: test for a common ratio

Why: Forty over 16 is 2.5, and so on.

Second: write both halves

Why: The first term and the step.

\[ a _{1} = 16, a _{n} = 2.5 a _{n - 1} \]

Figure (svg): The recursive equations for arithmetic and geometric sequences

The equation alone says how to step; the initial term says where to start. Omitting the start is the single most common mistake in this lesson.

\[ a_1 = 3, \, a_n = a_{n-1}+10; \qquad a_1 = 16, \, a_n = 2.5a_{n-1} \]

Verify: run each rule forward two steps

Why: The first gives 3, 13, 23 and the second gives 16, 40, 100, matching the sequences as printed. Generating two or three terms from a rule you just wrote is a five-second check that catches a wrong d or r immediately.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 828-828

19. Find the step

Fill the middle

Example 2b.

Fill in the blanks

16, 40, 100, 250 \;\Longrightarrow\; r = \tfrac2.5___ = ___

Why: Forty over 16 is 2.5, and checking 100 over 40 gives 2.5 as well. The recursive equation is therefore a_n equals 2.5 times the previous term.

20. Worked example: four more rules

Worked example

Guided Practice 5 to 8.

\[ \text{Write recursive rules for } 2,14,98,686; \; 19,13,7,1; \; 11,22,33,44; \; 324,108,36,12. \]

First: fourteen over 2

Why: A constant ratio of 7.

\[ a _{1} = 2, a _{n} = 7 a _{n - 1} \]

Second: thirteen minus 19

Why: A constant difference of negative 6.

\[ a _{1} = 19, a _{n} = a _{n - 1} - 6 \]

Third: twenty-two minus 11

Why: A constant difference of 11.

\[ a _{1} = 11, a _{n} = a _{n - 1} + 11 \]

Fourth: one hundred eight over 324

Why: A constant ratio of one third.

\[ a _{1} = 324, a _{n} = (\frac{1}{3}) a _{n - 1} \]

Figure (svg): The solution to Worked example four more rules shown as a ladder of expressions, one row per algebraic move

The whole solution at once: each drop is one legal move.

\[ 7a_{n-1}; \; a_{n-1}-6; \; a_{n-1}+11; \; \tfrac{1}{3}a_{n-1} \]

Verify: watch the third one carefully

Why: The terms 11, 22, 33, 44 double from the first to the second, which tempts a ratio of 2 — but 33 over 22 is 1.5, not 2. The differences are all 11, so it is arithmetic. This is the sequence in this set most likely to be misclassified from its first two terms alone.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 828-828

21. Find the error: omitting the initial term

Error analysis

A student writes a recursive rule for 3, 13, 23, 33, 43.

Annotate

On: \( a_n = a_{n-1}+10 \)

  • The recursive equation is correct: the difference is 10.
  • But the rule does not say where the sequence starts.
  • The same equation also generates 7, 17, 27, 37 and 0, 10, 20, 30.
  • The complete rule is a_1 = 3 together with a_n = a_(n-1) + 10.

The textbook prints this caution on page 828. A recursive EQUATION is half a rule; the initial term is the other half.

22. Sequence to recursive rule

Matching

Test differences first, then ratios.

Match the pairs

  • l1. 3, 13, 23, 33, ...
  • l2. 16, 40, 100, 250, ...
  • l3. 19, 13, 7, 1, ...
  • l4. 324, 108, 36, 12, ...
  • r1. a_1 = 3, a_n = a_(n-1) + 10
  • r2. a_1 = 16, a_n = 2.5a_(n-1)
  • r3. a_1 = 19, a_n = a_(n-1) - 6
  • r4. a_1 = 324, a_n = (1/3)a_(n-1)

Why: Two are arithmetic and two geometric, and each rule carries its own initial term. Notice how much shorter these are than the explicit rules for the same four sequences.

23. Explicit against recursive

Comparison

Fill the blanks. The same sequence 3, 13, 23, 33.

Comparison matrix

QuestionExplicitRecursive
Rulea_n = 10n - 7a_1 = 3, a_n = a_(n-1) + 10
Finding a_100one substitutionninety-nine steps
What it describesthe term at a positionthe step between terms
Needs a starting term?noyes

For a plain arithmetic sequence the explicit rule wins on convenience. The recursive form earns its keep when the process is easy to describe but the position formula is not.

24. Why must the initial term be stated?

Prediction

Commit before reasoning.

Predict first

How many sequences satisfy the equation a_n = a_(n-1) + 10 with no initial term given?

  • Exactly one
  • Infinitely many — one for every possible starting value
  • None
  • Ten

Correct: Infinitely many — one for every possible starting value.

\[ 3,13,23,\dots; \quad 7,17,27,\dots; \quad -2,8,18,\dots \]

Why: The equation constrains only the gaps, so 3, 13, 23 and 7, 17, 27 and negative 2, 8, 18 all satisfy it. Pinning down one sequence takes one more piece of information, and the initial term is it. This is the same structure you saw with lines: a slope alone names a family, and a point picks a member out of it.

25. Recursive rules for special sequences

Section

Section 3

26. Some sequences are only easy this way

Concept

For some sequences an explicit rule is difficult to find but a recursive one is immediate. The Fibonacci sequence adds the two preceding terms; the factorials multiply by the position number.

\[ a_n = a_{n-2}+a_{n-1}; \qquad a_n = n\,a_{n-1} \]

A rule that looks back two terms needs two starting terms, one for each term the equation refers to.

Figure (svg): The Fibonacci and factorial sequences with their recursive rules

These are the sequences that justify the whole idea: describing a step is sometimes far easier than describing a position.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 828-828 — Write recursive rules for special sequences

27. Fibonacci and the factorials

Picture it

Example 3, both parts.

Figure (svg): The Fibonacci and factorial sequences with their recursive rules

These are the sequences that justify the whole idea: describing a step is sometimes far easier than describing a position.

Neither has a simple explicit rule, and both have a one-line recursive one. That gap is the whole argument for recursion.

28. Worked example: two famous sequences

Worked example

Example 3, both parts.

\[ \text{Write recursive rules for } 1,1,2,3,5,\dots \text{ and } 1,1,2,6,24,\dots \]

First: look at how each term arises

Why: One plus 1 is 2, one plus 2 is 3, two plus 3 is 5.

First: count the starting terms needed

Why: The equation refers back two places.

\[ a _{1} = 1, a _{2} = 1 \]

Second: index from zero

Why: One is 1 times 1, two is 2 times 1, six is 3 times 2.

\[ a _{n} = n \times a _{n - 1} \]

Second: state the start

Why: The zeroth term is 1.

\[ a _{0} = 1 \]

Figure (svg): The Fibonacci and factorial sequences with their recursive rules

These are the sequences that justify the whole idea: describing a step is sometimes far easier than describing a position.

\[ a_1 = a_2 = 1, \; a_n = a_{n-2}+a_{n-1}; \qquad a_0 = 1, \; a_n = n\,a_{n-1} \]

Verify: extend each one step

Why: Fibonacci gives 3 plus 5, which is 8; the factorials give 5 times 24, which is 120. Both match the sequences as they continue, and the factorial values 1, 1, 2, 6, 24, 120 are the same ones you counted arrangements with in Chapter 10.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 828-828

29. Extend the Fibonacci sequence

Fill the middle

Example 3a.

Fill in the blanks

1, 1, 2, 3, 5, \; a_6 = a_4+a_5 = 3+5 = 8

Why: Three plus 5 is 8, and the sequence continues 13, 21, 34. Each term needs only the two before it, never the position number.

30. Worked example: a two-back product

Worked example

Guided Practice 9.

\[ \text{Write a recursive rule for } 1,2,2,4,8,32,\dots \]

Test the usual patterns

Why: Differences 1, 0, 2, 4, 24; ratios 2, 1, 2, 2, 4.

Try combining two earlier terms

Why: One times 2 is 2, and 2 times 2 is 4.

Check further

Why: Two times 4 is 8, and 4 times 8 is 32.

State both starting terms

Why: The equation looks back two places.

\[ a _{1} = 1, a _{2} = 2 \]

Figure (svg): The solution to Worked example a two-back product shown as a ladder of expressions, one row per algebraic move

The whole solution at once: each drop is one legal move.

\[ a_1 = 1, \, a_2 = 2, \; a_n = a_{n-2}\,a_{n-1} \]

Verify: predict the next term and check the growth

Why: Eight times 32 is 256, so the sequence continues 1, 2, 2, 4, 8, 32, 256. Multiplying the two previous terms makes the growth faster than any geometric sequence, because the multiplier itself keeps growing.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 829-829

31. Trap: one starting term for a two-back equation

Trap

The trap

\[ a_1 = 1, \; a_n = a_{n-2}+a_{n-1} \]

Try to compute a sub 2

Why: The equation needs a sub zero and a sub one.

\[ a_2 = a_0+a_1 = \text{?}+1 \quad \text{(undefined)} \]

A sub zero was never given, so the sequence cannot get started. One initial term is not enough for an equation that reaches back two.

The fix

\[ a_1 = 1, \; a_2 = 1, \; a_n = a_{n-2}+a_{n-1} \]

Give as many starting terms as the equation looks back

Why: Two references back means two initial values.

\[ a_3 = a_1+a_2 = 2 \;\Longrightarrow\; 1,1,2,3,5,8,\dots \]

Count the deepest reference in the equation. That number is how many starting terms the rule requires.

32. Extend the factorials

Fill the middle

Example 3b.

Fill in the blanks

a_0 = 1, \; a_n = n\,a_120 \;\Longrightarrow\; a_5 = 5(24) = ___

Why: Five times 24 is 120, which is 5 factorial. This equation is unusual in mentioning n as well as the previous term.

33. How many starting terms?

Sorting

Count the deepest reference back.

Sort into buckets

Sort each recursive equation by how many initial terms its rule needs.

One
a_n = a_(n-1) + 10; a_n = n times a_(n-1); a_n = 2a_(n-1) - 1
Two
a_n = a_(n-2) + a_(n-1); a_n = a_(n-2) times a_(n-1)
one
The equation refers only to the immediately preceding term.
two
The equation refers back two places, so both of those places must be supplied.

Mentioning n, as the factorial rule does, costs nothing extra: n is always available. It is references to earlier TERMS that must be paid for with initial values.

34. Why bother with recursion at all?

Prediction

Commit before reasoning.

Predict first

The Fibonacci sequence has the one-line recursive rule a_n = a_(n-2) + a_(n-1). What does its explicit rule look like?

  • Equally simple, something like 2n minus 1
  • Complicated — it involves powers of the golden ratio and a square root of five
  • It has none at all
  • The same rule works explicitly

Correct: Complicated — it involves powers of the golden ratio and a square root of five.

\[ a_n = \frac{\varphi^{\,n}-(1-\varphi)^{\,n}}{\sqrt{5}}, \; \varphi = \frac{1+\sqrt{5}}{2} \]

Why: An explicit rule for Fibonacci does exist, but it is built from powers of one plus root five over two divided by root five, and it produces whole numbers only by a remarkable cancellation. Nobody would find that by staring at 1, 1, 2, 3, 5. The recursive rule, by contrast, is visible in two seconds. That gap is the entire practical case for recursive rules.

35. Recursive models and long-run behaviour

Section

Section 4

36. Multiply by what stays, add what arrives

Concept

A quantity that loses a fixed percentage and gains a fixed amount each period is modelled by multiplying the previous value by the retained fraction and adding the new arrivals. Such a model settles at the level where loss balances gain.

\[ a_n = 0.8a_{n-1}+5000 \]

The stable level is found by asking what value the rule leaves unchanged, which turns the recursion into a single equation.

Figure (svg): Membership numbers falling toward a stable level

The level stabilises exactly where the losses and the gains balance, which is why the answer is 5000 divided by 0.2 rather than anything the first five years suggest.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 829-829 — Use a recursive rule to model a real-life situation

37. Membership settling down

Picture it

Example 4: an online music service losing 20 percent and gaining 5000 each year.

Figure (svg): Membership numbers falling toward a stable level

The level stabilises exactly where the losses and the gains balance, which is why the answer is 5000 divided by 0.2 rather than anything the first five years suggest.

The yearly drops shrink and the total levels off at 25,000, where losing 20 percent costs exactly the 5000 that arrive.

38. Worked example: model a membership

Worked example

Example 4, all three steps.

\[ \text{A service has } 50{,}000 \text{ members, loses } 20\% \text{ and gains } 5000 \text{ yearly. Model it and find } a_5. \]

Find the retained fraction

Why: Losing 20 percent keeps 80 percent.

\[ 0.8 \]

Write the rule

Why: Eighty percent of last year plus 5000.

\[ a _{1} = 50, 000, a _{n} = 0.8 a _{n - 1} + 5000 \]

Step forward four years

Why: Forty-five thousand, 41,000, 37,800.

\[ a _{2}\text{ through } a _{4} \]

Compute the fifth year

Why: Eighty percent of 37,800 plus 5000.

\[ 35, 240 \]

Figure (svg): Membership numbers falling toward a stable level

The level stabilises exactly where the losses and the gains balance, which is why the answer is 5000 divided by 0.2 rather than anything the first five years suggest.

\[ a_n = 0.8a_{n-1}+5000; \quad a_5 = 35{,}240 \]

Verify: watch the yearly drops

Why: They are 5000, 4000, 3200, 2560 — themselves a geometric sequence with ratio 0.8. The drops shrink because as membership falls, 20 percent of it is a smaller number, while the 5000 arriving never changes.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 829-829

39. Take one year forward

Fill the middle

Example 4 Step 2.

Fill in the blanks

a_2 = 0.8(5045000000)+5000 = 40___000+5000 = ___

Why: Forty thousand retained plus 5000 new gives 45,000. The service lost 10,000 and gained 5000, for a net loss of 5000 in the first year.

40. Worked example: the long run

Worked example

Example 4 Step 3, and Guided Practice 10.

\[ \text{What level does the membership approach? What if only } 70\% \text{ were retained?} \]

Ask what value the rule leaves alone

Why: The level stops changing when the next equals the last.

\[ x = 0.8 x + 5000 \]

Solve

Why: Zero point two x is 5000.

\[ x = 25, 000 \]

Repeat with 70 percent retained

Why: X equals 0.7x plus 5000.

\[ 0.3 x = 5000 \]

Solve

Why: Five thousand over 0.3.

\[ \text{about } 16, 667 \]

Figure (svg): The solution to Worked example the long run shown as a ladder of expressions, one row per algebraic move

The whole solution at once: each drop is one legal move.

\[ x = \frac{5000}{0.2} = 25{,}000; \qquad x = \frac{5000}{0.3} \approx 16{,}667 \]

Verify: check the balance at the stable level

Why: At 25,000 members the service loses 20 percent, which is 5000, and gains 5000 — exactly even. At 16,667 it loses 30 percent, which is 5000, and gains 5000. In both cases the stable level is the new arrivals divided by the loss rate, which is worth remembering as a shortcut.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 829-829

41. Trap: multiplying by the loss rate

Trap

The trap

\[ \text{loses } 20\% \text{ each year} \]

Multiply the previous year by 0.2

Why: The percentage lost is used as the multiplier.

\[ a_2 = 0.2(50{,}000)+5000 = 15{,}000 \quad \text{(wrong)} \]

Losing a fifth means keeping four fifths. The multiplier is what REMAINS, not what leaves.

The fix

\[ a_n = 0.8a_{n-1}+5000 \]

Multiply by the retained fraction

Why: One minus the loss rate.

\[ a_2 = 0.8(50{,}000)+5000 = 45{,}000 \]

This is the same 1 minus p that turned percent decay into a ratio in Lesson 12.3, reappearing inside a recursive rule.

42. Find the stable level

Fill the middle

Example 4 Step 3.

Fill in the blanks

x = 0.8x+5000 \;\Longrightarrow\; 0.2x = 5000 \;\Longrightarrow\; x = 25000

Why: Five thousand over 0.2 is 25,000. At that level 20 percent lost is exactly the 5000 gained, so nothing changes from year to year.

43. Order the membership numbers

Ranking

Smallest first.

Put in order

  1. Stable level with 70% retained
  2. Stable level with 80% retained
  3. Members at the start of year 5
  4. Members at the start of year 2
  5. Members at the start of year 1

Why: The values are about 16,667, then 25,000, 35,240, 45,000 and 50,000. Retaining less drives the stable level down sharply: a ten-point drop in retention costs a third of the eventual membership.

44. Why does it stabilise rather than vanish?

Prediction

Commit before reasoning.

Predict first

The service loses 20 percent of its members every year forever. Why does the membership not fall to zero?

  • It does eventually reach zero
  • Because 5000 new members arrive each year, and as membership falls the 20 percent lost becomes smaller than 5000
  • Because the losses stop
  • Because members return

Correct: Because 5000 new members arrive each year, and as membership falls the 20 percent lost becomes smaller than 5000.

\[ 0.2x = 5000 \;\Longleftrightarrow\; x = 25{,}000 \]

Why: At 50,000 members the loss is 10,000 against a gain of 5000, a net fall. At 20,000 members the loss is only 4000 against the same gain of 5000, a net RISE. Somewhere between the two the forces balance, and that crossing point is the stable level of 25,000. A model with a fixed inflow and a proportional outflow always has one, which is why this shape appears in so many population and drug-dosage problems.

45. Iterating a function

Section

Section 5

46. Feed the output back in

Concept

Iteration is the repeated composition of a function with itself. Starting from an initial value, each output becomes the next input, which generates a sequence recursively.

\[ x_1 = f(x_0), \; x_2 = f(x_1), \; x_3 = f(x_2), \dots \]

An iterate is simply a number produced by this process. Iterating f is exactly the recursive rule a_n equals f of a_(n-1).

Figure (svg): A function iterated three times from a starting value

Iteration is a recursive rule wearing different clothes: the same function applied over and over, each answer feeding the next call.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 830-830 — Iterating functions

47. Output becomes input

Picture it

Example 5: iterating negative 3x plus 1 from x equal to 2.

Figure (svg): A function iterated three times from a starting value

Iteration is a recursive rule wearing different clothes: the same function applied over and over, each answer feeding the next call.

Three applications take 2 to negative 5 to 16 to negative 47. The negative coefficient makes the signs alternate and the sizes grow.

48. Worked example: three iterates

Worked example

Example 5.

\[ \text{Find } x_1, x_2, x_3 \text{ for } f(x) = -3x+1 \text{ with } x_0 = 2. \]

Compute the first iterate

Why: F of 2 is negative 6 plus 1.

\[ x _{1} = -5 \]

Feed that back in

Why: F of negative 5 is 15 plus 1.

\[ x _{2} = 16 \]

Feed that back in

Why: F of 16 is negative 48 plus 1.

\[ x _{3} = -47 \]

Note the behaviour

Why: Signs alternate, sizes grow.

Figure (svg): A function iterated three times from a starting value

Iteration is a recursive rule wearing different clothes: the same function applied over and over, each answer feeding the next call.

\[ x_1 = -5, \; x_2 = 16, \; x_3 = -47 \]

Verify: check what the multiplier is doing

Why: Each step multiplies by negative 3 and adds 1, so the size roughly triples every time and the sign flips. This is the same multiply-then-add shape as the music service model, but with a multiplier larger than 1 in size the iterates run away instead of settling.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 830-830

49. Take the second iterate

Fill the middle

Example 5.

Fill in the blanks

x_2 = f(x_1) = f(-5) = -3(-5)+1 = 16

Why: Negative 3 times negative 5 is 15, plus 1 gives 16. The input was the previous OUTPUT, not the original starting value.

50. Worked example: two more functions

Worked example

Guided Practice 11 and 12.

\[ \text{Iterate } f(x) = 4x-3 \text{ from } x_0 = 2, \text{ and } f(x) = x^2-5 \text{ from } x_0 = -1. \]

First: f of 2

Why: Eight minus 3.

\[ x _{1} = 5 \]

First: continue

Why: F of 5 is 17, and f of 17 is 65.

\[ 5, 17, 65 \]

Second: f of negative 1

Why: One minus 5.

\[ x _{1} = -4 \]

Second: continue

Why: F of negative 4 is 11, and f of 11 is 116.

\[ -4, 11, 116 \]

Figure (svg): The solution to Worked example two more functions shown as a ladder of expressions, one row per algebraic move

The whole solution at once: each drop is one legal move.

\[ 5,17,65; \qquad -4,11,116 \]

Verify: compare the two growth patterns

Why: The linear function roughly quadruples each step, while the quadratic one squares — going from 11 to 116 in a single application. Iterating a quadratic accelerates far faster than iterating a line, which is why the second sequence overtakes the first by the third iterate.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 830-830

51. Find the error: iterating from the wrong value

Error analysis

A student iterates f(x) = -3x + 1 from x_0 = 2 and reports the second iterate.

Annotate

On: \( x_2 = f(x_0) \text{ twice} = -3(2)+1 = -5 \)

  • The first iterate -5 is computed correctly.
  • But the second iterate must use x_1, not x_0, as its input.
  • So x_2 = f(-5) = 15 + 1 = 16, not -5 again.
  • Each iterate feeds the PREVIOUS output back in, never the original.

Writing the chain out as 2 to -5 to 16 to -47, with an arrow for each application, makes it impossible to lose your place.

52. Function and start to iterates

Matching

Feed each output back in.

Match the pairs

  • l1. f(x) = -3x + 1, x_0 = 2
  • l2. f(x) = 4x - 3, x_0 = 2
  • l3. f(x) = x^2 - 5, x_0 = -1
  • l4. f(x) = 0.8x + 5000, x_0 = 50,000
  • r1. -5, 16, -47
  • r2. 5, 17, 65
  • r3. -4, 11, 116
  • r4. 45,000, 41,000, 37,800

Why: The last is Example 4 restated: a recursive model IS an iteration, with the model's rule as the function. The first three run away; the fourth settles, because its multiplier is under 1 in size.

53. Two multipliers, same shape

Comparison

Fill the blanks. Both iterate multiply-then-add.

Comparison matrix

Questionf(x) = -3x + 1f(x) = 0.8x + 5000
Size of the multiplier30.8
Behaviourruns awaysettles at a level
Fixed value0.25, but never approached25,000, and approached
Signsalternatestay positive

Both functions have a value they leave unchanged, but only the one with multiplier under 1 in size actually pulls the iterates toward it. That threshold at 1 is the same one that decided whether an infinite series had a sum.

54. How is iteration related to recursion?

Prediction

Commit before reasoning.

Predict first

What is the connection between iterating a function f and a recursive rule?

  • They are unrelated topics
  • Iterating f is exactly the recursive rule a_n = f(a_(n-1)), with x_0 as the initial term
  • Iteration only works for linear functions
  • Recursion is a special case of iteration only

Correct: Iterating f is exactly the recursive rule a_n = f(a_(n-1)), with x_0 as the initial term.

\[ x_n = f(x_{n-1}) \;\Longleftrightarrow\; a_n = f(a_{n-1}) \]

Why: Every recursive equation in this lesson can be read as a function applied to the previous term: adding 4 is the function x plus 4, tripling is 3x, and the music service's rule is 0.8x plus 5000. Iteration is the same idea presented as repeated composition rather than as a sequence, which is why the two sections sit in one lesson. Where the equation mentions n as well, as the factorial rule does, the function changes at each step and the framing is less natural.

55. The two kinds of rule

Comparison

Fill the blanks. Same sequences, different descriptions.

Comparison matrix

QuestionExplicitRecursive
Gives a_n in terms ofthe position nthe preceding term or terms
Arithmetic forma_n = a_1 + (n - 1)da_n = a_(n-1) + d
Geometric forma_n = a_1 times r to the n - 1a_n = r a_(n-1)
Best forreaching a distant termdescribing a step-by-step process

Neither form is better in general. Explicit rules answer what is the hundredth term; recursive rules answer what happens next, and real processes usually present themselves in the second way.

56. The procedure, in order

Pattern

Start, step, then run.

  1. To generate terms, write the given starting term or terms, then apply the equation once per new term.
  2. To write a rule for an arithmetic sequence, give a_1 and the equation a_n = a_(n-1) + d.
  3. To write a rule for a geometric sequence, give a_1 and the equation a_n = r a_(n-1).
  4. For an unfamiliar sequence, look for a term built from the two before it, or one that uses the position number.
  5. To iterate a function, apply it to the starting value and then keep feeding each output back in.

Supply as many initial terms as the equation reaches back. One reference back needs one; two need two.

OpenStax Algebra and Trigonometry 2e, §13.1 Sequences and Their Notations §13.1

57. Check yourself 1 of 3

Check

Start at the given term and step forward.

Check your understanding

What are the first four terms for a_1 = 1, a_2 = 4, and a_n = a_(n-1) times a_(n-2)?

  • A. 1, 4, 4, 16 (correct)
  • B. 1, 4, 16, 64
  • C. 1, 4, 8, 16
  • D. 1, 4, 4, 8

Answer: A

Why: a_3 = 4 times 1 = 4, and a_4 = 4 times 4 = 16.

Why B tempts people
This multiplies by 4 each time, which would be a geometric rule rather than a two-back product.
Why C tempts people
This doubles the previous term rather than multiplying the two preceding ones.
Why D tempts people
a_4 uses a_3 and a_2, which are 4 and 4, giving 16 rather than 8.

58. Check yourself 2 of 3

Check

Both halves of the rule are needed.

Check your understanding

What is a complete recursive rule for 16, 40, 100, 250, ...?

  • A. a_1 = 16, a_n = 2.5a_(n-1) (correct)
  • B. a_n = 2.5a_(n-1)
  • C. a_1 = 16, a_n = a_(n-1) + 24
  • D. a_1 = 16, a_n = 16(2.5)^(n-1)

Answer: A

Why: The ratio is 40/16 = 2.5, and the rule must also state the first term.

Why B tempts people
The recursive equation is right but no starting term is given, so the sequence is not determined.
Why C tempts people
The differences are 24, 60, 150, not constant; this sequence is geometric, not arithmetic.
Why D tempts people
This is the explicit rule, not a recursive one, and it does not use the preceding term.

59. Check yourself 3 of 3

Check

Each output becomes the next input.

Check your understanding

What are the first three iterates of f(x) = 4x - 3 for x_0 = 2?

  • A. 5, 17, 65 (correct)
  • B. 5, 5, 5
  • C. 5, 20, 80
  • D. 8, 29, 113

Answer: A

Why: f(2) = 5, then f(5) = 17, then f(17) = 65.

Why B tempts people
This applies f to the original x_0 every time instead of to the previous output.
Why C tempts people
This multiplies by 4 without subtracting the 3 each step.
Why D tempts people
This starts from f(x) computed at some other value; f(2) is 8 minus 3, which is 5.

60. Where this shows up outside the textbook

Real world

A patient takes a 300 mg dose of a drug every 8 hours. In each 8-hour period the body eliminates 60 percent of whatever is present.

Discussion prompt

Write a recursive rule for the amount just after the nth dose, and find the level it settles toward.

Hint: What fraction remains from the previous dose when the next one arrives?

Answer:

\[ a_1 = 300, \quad a_n = 0.4a_{n-1}+300 \]

\[ a_2 = 420, \; a_3 = 468, \; a_4 = 487.2, \; a_5 = 494.9 \]

\[ x = 0.4x+300 \;\Longrightarrow\; 0.6x = 300 \;\Longrightarrow\; x = 500 \]

The amount in the body settles toward 500 mg, reached from below and never exceeded.

This is the music service model wearing a lab coat, and it is why dosing schedules are designed the way they are: the steady-state level is the dose divided by the fraction eliminated, so halving the elimination rate doubles the level the patient ends up carrying. A drug whose elimination is slow enough can reach a dangerous steady state from doses that each look perfectly safe on their own — the recursion, not the single dose, is what determines the risk.

61. How sure are you?

Commit first

Answer, then rate your confidence honestly.

Predict first

Is a_n = a_(n-1) + 10 a complete recursive rule for the sequence 3, 13, 23, 33?

  • Yes, the difference of 10 determines everything
  • No — without an initial term it also describes 7, 17, 27 and infinitely many others
  • Yes, because the first term is obvious from context
  • No, because the equation itself is wrong

Correct: No — without an initial term it also describes 7, 17, 27 and infinitely many others.

\[ a_1 = 3, \; a_n = a_{n-1}+10 \]

Why: The equation constrains only the gaps between terms, never where the sequence begins. Adding a_1 equal to 3 pins down exactly one sequence. The textbook flags this on page 828 as the error to avoid, and it is the same logical structure as a line: a slope names a whole family of parallel lines, and one point selects a single member.

62. Explain it to someone a year behind you

Explain it

They know explicit rules and have never seen a recursive one.

Discussion prompt

In four sentences or fewer, explain what a recursive rule is and why anyone would use one.

Hint: Compare a recipe with a lookup table.

Answer:

An explicit rule tells you a term straight from its position, like looking up an answer in a table. A recursive rule instead tells you where to start and what to do to get from each term to the next.

It is slower for reaching a distant term, because you have to walk the whole way. But some sequences are easy to describe step by step and very hard to describe by position, and Fibonacci is the standard example.

63. Exit ticket

Exit ticket

Name the weakest spot before you close the deck.

Predict first

Which of these would you least want handed to you cold?

  • Remembering to include the initial term
  • Reading a_(n-1) as a term rather than a number
  • Writing a recursive model from a described process
  • Finding the level a model settles toward

Correct: Whichever you picked is tonight's ten minutes, and each has a one-line fix.

Why: For the initial term, count how far back the equation reaches and supply that many. For the notation, read a sub n minus 1 aloud as the term before this one. For models, multiply by what REMAINS and add what arrives. For the stable level, set x equal to the rule applied to x and solve the resulting equation.

64. Draw the lesson on one page

Connect it up

Paper. Fifteen minutes.

Draw it

Build a recursion page. Top left: take one sequence and write it BOTH ways, explicit and recursive, then compute its hundredth term by whichever rule is faster and note beside it how many steps the other would have taken. Top right: write the two standard recursive equations for arithmetic and geometric sequences, and beside them write one incomplete rule and one complete rule, marking what is missing from the first. Middle: write the Fibonacci and factorial rules, generate six terms of each, and note how many initial terms each one needs and why. Bottom left: model a repeating real-world process of your own invention, generate five terms, and solve for the level it settles toward. Bottom right: iterate a function of your choice three times, drawing the chain of arrows, and say whether the iterates run away or settle.

If any recursive rule on your page lacks a starting term, it names infinitely many sequences rather than one. Add the start.

65. What you can do now

Recap

Five things, and a second language for describing a sequence.

If you seeThen
a_(n-1) in a ruleRead it as the previous TERM, not as n minus 1
A constant added each stepThe sequence is arithmetic; d is that constant
A constant multiplier each stepThe sequence is geometric; r is that multiplier
An equation reaching back two termsSupply two initial terms
Loses p percent, gains a fixed amountMultiply by 1 minus p, then add the amount
A level that stabilisesSolve x equals the rule applied to x

That closes Chapter 12. Chapter 13 leaves sequences behind and builds trigonometry from right triangles, starting with the six ratios and ending with the laws of sines and cosines.

McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions §12.5, pp. 827-831 — everything on these slides traces back here

Sources

  1. McDougal Littell Algebra 2 (Texas Edition), Ch. 12 Sequences and Series — Lesson 12.5 Use Recursive Rules with Sequences and Functions — Larson, Boswell, Kanold & Stiff, McDougal Littell / Houghton Mifflin, 2007, pp. 827-831
  2. OpenStax Algebra and Trigonometry 2e, §13.1 Sequences and Their Notations
  3. OpenStax College Algebra 2e, §9.1 Sequences and Their Notations

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