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C1.4 · Represent sequences recursively, explicitly, and with function notation

Learn to represent sequences recursively, explicitly, and with function notation through clear examples and targeted practice.

Ontario Grade 11 Mathematics

Discrete Functions

MCR3U — Unit C: Sequences and Series (Expectation C1.4)

Imagine you are saving money each week. You start with CAD 20, and every week you add CAD 15. After one week you have CAD 35, after two weeks CAD 50, and so on. That ordered list of amounts — 20, 35, 50, 65, … — is a sequence. In this lesson you will learn three different but equivalent ways to describe any sequence precisely: a recursive formula (each term depends on the one before it), an explicit formula (a rule that jumps straight to any term you want), and function notation (which connects sequences to the function ideas you already know from Grade 10). Understanding all three gives you flexibility — sometimes one form is easier to build, and another is easier to use for calculations.

What you will learn

Prerequisite Bridge: Functions and Ordered Lists

In Grade 10 you learned that a function is a rule that assigns exactly one output to each input. You wrote functions as equations such as f(x)=3x+1f(x) = 3x + 1 and evaluated them by substituting a number for xx. That skill transfers directly to sequences.
A sequence is simply an ordered list of numbers. Each number in the list is called a term. The position of a term in the list is called its index (or term number). By convention, the first term is at index 1 unless the problem states otherwise.
Notation check: the symbol tnt_n means 'the term at position nn.' So t1t_1 is the first term, t2t_2 is the second term, and so on. You will also see f(n)f(n) used the same way once we switch to function notation.

Recursive Representation

A recursive formula defines a term by referring to one or more terms that came before it. It always has two parts: a starting value (called the initial condition) and a recurrence rule that says how to get from one term to the next.
Think of the savings example: you always add CAD 15 to whatever you had last week. In math symbols, if tnt_n is the amount after week nn, then tn+1=tn+15t_{n+1} = t_n + 15. The starting value is t1=20t_1 = 20. Together, those two pieces form the complete recursive formula.
Recursive formulas are great for showing the pattern step by step. Their main limitation is that to find, say, t100t_{100}, you would have to calculate all 99 terms before it — which takes a long time. That is why we also need the other two representations.
General structure: write the initial condition first, then the recurrence rule. Always specify both — a recurrence rule without a starting value does not uniquely determine a sequence.
tn+1=tn+d,t1=at_{n+1} = t_n + d, t_1 = a

Explicit Representation

An explicit formula gives tnt_n directly as an expression in nn, with no reference to earlier terms. You substitute the position number and the formula produces the term — no stepping through the sequence required.
For the savings example, notice that t1=20t_1 = 20, t2=35=20+15t_2 = 35 = 20 + 15, t3=50=20+2(15)t_3 = 50 = 20 + 2(15), t4=65=20+3(15)t_4 = 65 = 20 + 3(15). The pattern is clear: each term is the starting value plus (n−1)(n-1) copies of the common difference 15. So the explicit formula is tn=20+(n−1)(15)t_n = 20 + (n-1)(15), which simplifies to tn=15n+5t_n = 15n + 5.
You can verify: t1=15(1)+5=20t_1 = 15(1) + 5 = 20 ✓, t4=15(4)+5=65t_4 = 15(4) + 5 = 65 ✓. This formula lets you jump straight to t100=15(100)+5=1505t_{100} = 15(100) + 5 = 1505 without listing every term in between.
For an arithmetic sequence with first term aa and common difference dd, the general explicit formula is tn=a+(n−1)dt_n = a + (n-1)d. For a geometric sequence with first term aa and common ratio rr, it is tn=a⋅rn−1t_n = a \cdot r^{n-1}. Recognising the sequence type points you to the right template.
tn=a+(n−1)dt_n = a + (n-1)d

Function Notation for Sequences

Because a sequence assigns exactly one term to each position number, it is a function whose domain is the positive integers (1, 2, 3, …). Writing it in function notation makes this connection visible.
Instead of tnt_n, write f(n)f(n). The explicit formula tn=15n+5t_n = 15n + 5 becomes f(n)=15n+5f(n) = 15n + 5, where the domain is {1,2,3,…}\{1, 2, 3, \ldots\}. Evaluating f(4)f(4) gives the fourth term: f(4)=15(4)+5=65f(4) = 15(4) + 5 = 65.
The recursive form also works in function notation. The initial condition becomes f(1)=20f(1) = 20 and the recurrence rule becomes f(n+1)=f(n)+15f(n+1) = f(n) + 15 for n≥1n \geq 1.
Stating the domain is important. The formula f(n)=15n+5f(n) = 15n + 5 looks like a straight line, but it is only defined at the positive integers — not for every real number. This is what makes it a sequence rather than a continuous linear function.
f(n)=a+(n−1)d,n∈{1,2,3,…}f(n) = a + (n-1)d, n ∈ \{1, 2, 3, \ldots\}

Connecting All Three Representations

The three representations describe the same sequence — they are just different lenses. The recursive form shows the building process step by step. The explicit form gives a fast calculation shortcut. The function notation makes the input-output structure of a sequence precise and connects sequences to the broader idea of functions.
When you are given a sequence as a list of terms, your first job is to spot the pattern. Ask: is each term found by adding the same number (arithmetic) or multiplying by the same number (geometric)? That answer determines which explicit template to use and what the recurrence rule looks like.
Moving between representations is a key skill. Start with the explicit formula, substitute two consecutive values of nn to find two terms, and the pattern of the recurrence rule becomes visible. Or start with a recursive formula, compute several terms, and look for the explicit shortcut.

Comparing the Three Representations

FeatureRecursive FormulaExplicit FormulaFunction Notation
What it showsStep-by-step building ruleDirect formula for any termInput-output function structure
Requires previous term?YesNoNo (explicit form)
Fast for large nn?No — must step through all termsYes — substitute nn directlyYes — substitute nn directly
Arithmetic examplet1=7, tn+1=tn+4t_1=7,\ t_{n+1}=t_n+4tn=4n+3t_n = 4n+3f(n)=4n+3,\ n∈\{1,2,3,\ldots\}
Geometric examplef(1)=3, f(n+1)=2f(n)f(1)=3,\ f(n+1)=2f(n)tn=3⋅2n−1t_n = 3\cdot 2^{n-1}f(n)=3· 2^{n-1},\ n∈\{1,2,3,\ldots\}

Worked example

Example 1 — Arithmetic Sequence: Three Representations

A sequence begins 7, 11, 15, 19, … Write (a) a recursive formula, (b) an explicit formula, and (c) the explicit formula in function notation. Then find the 20th term.
  1. Identify the pattern
    Check whether a constant number is added each time. From 7 to 11 is +4+4, from 11 to 15 is +4+4, from 15 to 19 is +4+4. The common difference is d=4d = 4 and the first term is a=7a = 7. This is an arithmetic sequence.
    d=11−7=4d = 11 - 7 = 4
  2. Write the recursive formula
    State the initial condition t1=7t_1 = 7, then write the recurrence rule: each term equals the previous term plus 4. Include the condition n≥1n \geq 1 so the domain is clear.
    t1=7,tn+1=tn+4 for n≥1t_1 = 7, t_{n+1} = t_n + 4 \text{ for } n ≥ 1
  3. Write the explicit formula
    Use the arithmetic template tn=a+(n−1)dt_n = a + (n-1)d with a=7a = 7 and d=4d = 4. Substitute and simplify.
    tn=7+(n−1)(4)=7+4n−4=4n+3t_n = 7 + (n-1)(4) = 7 + 4n - 4 = 4n + 3
  4. Write the function notation form
    Replace tnt_n with f(n)f(n) and state the domain as the positive integers.
    f(n)=4n+3,n∈{1,2,3,…}f(n) = 4n + 3, n ∈ \{1, 2, 3, \ldots\}
  5. Find the 20th term
    Substitute n=20n = 20 into the explicit formula. This is much faster than listing all 20 terms.
    f(20)=4(20)+3=80+3=83f(20) = 4(20) + 3 = 80 + 3 = 83
  6. Verify with the recursive check
    Confirm f(1)=4(1)+3=7f(1) = 4(1) + 3 = 7 ✓ and f(2)=4(2)+3=11f(2) = 4(2) + 3 = 11 ✓. Both match the given sequence.
    f(1)=7,f(2)=11f(1) = 7, f(2) = 11
Answer: Recursive: t1=7t_1 = 7, tn+1=tn+4t_{n+1} = t_n + 4. Explicit: tn=4n+3t_n = 4n + 3. Function notation: f(n)=4n+3f(n) = 4n + 3, n ∈ \{1, 2, 3, \ldots\}. The 20th term is f(20)=83f(20) = 83.
Check: Using the recursive rule from t1=7t_1 = 7: add 4 nineteen times, giving 7+19(4)=7+76=837 + 19(4) = 7 + 76 = 83 ✓.

Worked example

Example 2 — Geometric Sequence: Three Representations

A sequence is defined recursively by f(1)=3f(1) = 3 and f(n+1)=2⋅f(n)f(n+1) = 2 \cdot f(n) for n≥1n \geq 1. (a) List the first four terms. (b) Write the explicit formula. (c) Use function notation to find f(8)f(8).
  1. Generate the first four terms from the recursive rule
    Start at f(1)=3f(1) = 3. Each new term is twice the previous one. Apply the rule three more times.
    f(1)=3, f(2)=6, f(3)=12, f(4)=24f(1)=3,\ f(2)=6,\ f(3)=12,\ f(4)=24
  2. Identify the sequence type
    Check the ratio between consecutive terms: 6÷3=26 \div 3 = 2, 12÷6=212 \div 6 = 2, 24÷12=224 \div 12 = 2. The common ratio is r=2r = 2, confirming this is a geometric sequence with first term a=3a = 3.
    r=f(2)f(1)=63=2r = \frac{f(2)}{f(1)} = \frac{6}{3} = 2
  3. Write the explicit formula
    Use the geometric template tn=a⋅rn−1t_n = a \cdot r^{n-1} with a=3a = 3 and r=2r = 2.
    tn=3⋅2n−1t_n = 3 · 2^{n-1}
  4. Write in function notation with domain
    Replace tnt_n with f(n)f(n) and state the domain.
    f(n)=3⋅2n−1,n∈{1,2,3,…}f(n) = 3 · 2^{n-1}, n ∈ \{1, 2, 3, \ldots\}
  5. Evaluate f(8)f(8)
    Substitute n=8n = 8 into the explicit formula. Compute 27=1282^7 = 128 first, then multiply by 3.
    f(8)=3⋅27=3⋅128=384f(8) = 3 · 2^{7} = 3 · 128 = 384
  6. Verify two known terms
    Check f(1)=3⋅20=3⋅1=3f(1) = 3 \cdot 2^0 = 3 \cdot 1 = 3 ✓ and f(4)=3⋅23=3⋅8=24f(4) = 3 \cdot 2^3 = 3 \cdot 8 = 24 ✓. Both match the terms generated in Step 1.
    f(4)=3⋅23=24f(4) = 3 · 2^{3} = 24
Answer: First four terms: 3, 6, 12, 24. Explicit: f(n)=3⋅2n−1f(n) = 3 \cdot 2^{n-1}, n ∈ \{1, 2, 3, \ldots\}. The eighth term is f(8)=384f(8) = 384.
Check: Applying the recursive rule eight times from 3: 3 \to 6 \to 12 \to 24 \to 48 \to 96 \to 192 \to 384 ✓.

Common mistakes and how to avoid them

Writing a recursive formula without an initial condition, e.g., only writing tn+1=tn+4t_{n+1} = t_n + 4 with no starting value.
Correction: A recurrence rule alone does not pin down a unique sequence. Always pair it with an initial condition such as t1=7t_1 = 7.
Using (n)(n) instead of (n−1)(n-1) in the explicit formula, giving tn=a+ndt_n = a + nd instead of tn=a+(n−1)dt_n = a + (n-1)d.
Correction: When n=1n = 1 you want the first term aa, so you need zero copies of dd. That means the multiplier on dd must be (n−1)(n-1), not nn. Always verify by substituting n=1n = 1.
Forgetting to state the domain when writing a sequence in function notation.
Correction: Write n ∈ \{1, 2, 3, \ldots\} (or the appropriate starting value). Without the domain, f(n)=4n+3f(n) = 4n + 3 looks like a continuous linear function, not a sequence.
Confusing common difference (arithmetic) with common ratio (geometric), leading to the wrong formula type.
Correction: Check whether consecutive terms differ by a constant amount (arithmetic, use tn=a+(n−1)dt_n = a + (n-1)d) or by a constant multiplier (geometric, use tn=a⋅rn−1t_n = a \cdot r^{n-1}).
Evaluating f(n)f(n) for a non-integer or zero when the domain starts at 1, e.g., computing f(0)f(0) and treating it as a valid term.
Correction: The domain of a sequence is restricted to the positive integers (or non-negative integers if the sequence starts at index 0). Only substitute allowed values of nn.

Lesson summary

Check your understanding

Question 1

A sequence begins 5, 8, 11, 14, … Which recursive formula correctly represents it?
  1. t1=5t_1 = 5, tn+1=tn+3t_{n+1} = t_n + 3 for n≥1n \geq 1
  2. t1=5t_1 = 5, tn+1=3tnt_{n+1} = 3t_n for n≥1n \geq 1
  3. t1=3t_1 = 3, tn+1=tn+5t_{n+1} = t_n + 5 for n≥1n \geq 1
  4. t1=5t_1 = 5, tn+1=tn+8t_{n+1} = t_n + 8 for n≥1n \geq 1
Show answer and explanation
t1=5t_1 = 5, tn+1=tn+3t_{n+1} = t_n + 3 for n≥1n \geq 1
The sequence increases by 3 each time (8 − 5 = 3, 11 − 8 = 3), so the common difference is 3, and the first term is 5. The correct recursive formula pairs the initial condition t1=5t_1 = 5 with the rule tn+1=tn+3t_{n+1} = t_n + 3. Option B multiplies instead of adds. Options C and D use wrong starting values or differences.

Question 2

What is the explicit formula for the sequence 2, 6, 18, 54, …?
  1. tn=2n+4t_n = 2n + 4
  2. tn=2⋅3nt_n = 2 \cdot 3^n
  3. tn=2⋅3n−1t_n = 2 \cdot 3^{n-1}
  4. tn=3⋅2n−1t_n = 3 \cdot 2^{n-1}
Show answer and explanation
tn=2⋅3n−1t_n = 2 \cdot 3^{n-1}
Each term is multiplied by 3 (6 ÷ 2 = 3, 18 ÷ 6 = 3), so this is geometric with a=2a = 2 and r=3r = 3. The template gives tn=2⋅3n−1t_n = 2 \cdot 3^{n-1}. Option B uses 3n3^n instead of 3n−13^{n-1}, which gives t1=6t_1 = 6 not 2. Option D swaps aa and rr. Option A is a linear (arithmetic) formula, which does not fit.

Question 3

A sequence is defined by f(n)=5n−2f(n) = 5n - 2 with domain n ∈ \{1, 2, 3, \ldots\}. What is f(6)f(6)?
  1. 28
  2. 30
  3. 32
  4. 27
Show answer and explanation
28
Substitute n=6n = 6: f(6)=5(6)−2=30−2=28f(6) = 5(6) - 2 = 30 - 2 = 28. Option B forgets to subtract 2. Option C adds 2 instead of subtracting. Option D subtracts 3 instead of 2.

Question 4

Why must a recursive formula always include an initial condition?
  1. Because without it the formula produces negative terms.
  2. Because without it the recurrence rule could generate infinitely many different sequences.
  3. Because the initial condition replaces the recurrence rule for the first term.
  4. Because function notation requires a starting value to define the domain.
Show answer and explanation
Because without it the recurrence rule could generate infinitely many different sequences.
A recurrence rule like tn+1=tn+4t_{n+1} = t_n + 4 tells you how to move from one term to the next, but it does not say where to start. Without the initial condition, the rule could describe a sequence starting at any value — there would be infinitely many possibilities. The initial condition pins down the one specific sequence you intend.

Key terms

Sequence
An ordered list of numbers, where each number occupies a specific position.
Term
A single number in a sequence. The term at position nn is written tnt_n or f(n)f(n).
Index
The position number of a term in a sequence, usually starting at 1.
Recursive formula
A two-part rule that defines a sequence: an initial condition giving the first term and a recurrence rule expressing each new term from the previous one.
Explicit formula
A formula that gives the term tnt_n directly as an expression in nn, without needing earlier terms.
Common difference (dd)
The constant amount added between consecutive terms of an arithmetic sequence.
Common ratio (rr)
The constant multiplier between consecutive terms of a geometric sequence.
Domain of a sequence
The set of allowed input values for a sequence written as a function, typically the positive integers {1,2,3,…}\{1, 2, 3, \ldots\}.

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Published by DoAssignment. This AI-assisted lesson follows Ontario Grade 11 Mathematics (MCR3U), expectation C1.4. It is a study resource, not an official curriculum publication.

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