Constant second difference indicates a quadratic relationship, but you still need to find the specific rule.
Geometric Patterns Multiply By A Constant Factor
If each term is obtained by multiplying by the same number, the pattern is geometric.
Example
$2, 6, 18, 54, \dots$ multiplies by $3$, so $u_n = 2\cdot 3^{n-1}$.
Active recall
Classify each pattern and suggest a rule:
$5, 9, 13, 17, \dots$
$1, 8, 27, 64, \dots$
$81, 27, 9, 3, \dots$
A Famous Cautionary Example: Regions Formed By Joining Dots On A Circle
A classic exploration shows why it is risky to generalize from a small number of cases.
You place $n$ dots on the circumference of a circle and connect every pair of dots with a straight line segment (a chord).
The chords divide the circle into regions.
Let $r$ be the number of regions.
From careful drawings:
$n=1 \Rightarrow r=1$
$n=2 \Rightarrow r=2$
$n=3 \Rightarrow r=4$
$n=4 \Rightarrow r=8$
$n=5 \Rightarrow r=16$
A table makes the pattern tempting:
$n$ (dots)
1
2
3
4
5
$r$ (regions)
1
2
4
8
16
It looks like the number of regions doubles each time, so you might conjecture: $$r = 2^{n-1}$$
Testing The Conjecture Matters
If the conjecture were correct, then for $n=6$ you would predict $r=32$.
However, when you actually draw the $n=6$ case carefully (ensuring that no three chords cross at the same interior point), you get: $$r = 31$$
So the simple doubling rule is false, even though it fits perfectly for $n=1$ to $5$.
Common Mistake
This example shows a key risk: a rule can match many early cases and still fail later.
Always test beyond the data you used to create the conjecture.
What Went Wrong With "Doubling"?
The early drawings create a doubling illusion because each new dot creates many new intersections, and intersections control how regions increase.
The number of intersections does not grow in a way that keeps exact doubling forever.
There is a correct general formula for this problem, but it is not obvious.
It comes from graph theory and connects vertices, edges, and regions (related to Euler's formula).
Analogy
Generalizing from small cases is like predicting a movie's ending from the first five minutes.
Sometimes the pattern continues, but a plot twist can break it.
Testing further is how you detect the twist.
Generalizing Relationships Beyond Mathematics
Mathematical generalization also supports modeling in other subjects because it clarifies trends among individuals and systems.
For example, in biology, organisms coexist through ecological relationships that can be:
oppositional (such as predation or competition),
symbiotic (one organism lives in or on another), sometimes mutualistic (both benefit).
You might observe several examples of mutualism and generalize "both organisms benefit".
But biology also includes cases where one benefits and the other is harmed, so generalizations must be made with care, clear definitions, and awareness of exceptions.
Note
Generalizing is a cycle of reasoning:
observe and represent a relationship,
conjecture a rule,
test and refine,
justify with logic.
This is how mathematics builds dependable models from simple examples.
Active recall
In one sentence, explain the difference between a pattern and a generalization.
Why is testing a conjecture on new cases important?
In the circle-regions problem, what value of $r$ for $n=6$ disproves the doubling conjecture?