Products — When Two Independent Things Become One Structure

In programming, we combine values all the time.

But rarely do we ask a deeper question:

Is there a correct way to combine things?

Not just a convenient way. Not just a common pattern. But a way that is universally right.

Category theory answers this using something called a universal construction. Instead of defining a structure directly, it defines it by how it relates to everything else.

And when we ask:

“What is the best way to combine two things?”

This perspective leads us to a fundamental idea:

The Product.

A product is not just a pair of values. It is the *most universal* way of combining them.

To make this concrete, consider something simple:

Latitude and longitude. Individually, they are just numbers. But when combined correctly, they represent a precise location on Earth. And when combined incorrectly… everything breaks.

So what does it mean to combine them correctly?

That’s exactly what the idea of a Product captures.

The Mathematical Idea

In category theory, a product of A and B is:

An object (A, B) with two projections:

π₁ : (A, B) → A  
π₂ : (A, B) → B

These just mean:

The Pattern (What really matters)

We don’t define product by structure.

We define it by behavior:

      c
     / \
    p   q
   /     \
  A       B

Key Idea

If you have:

p : C → A  
q : C → B

Then there must exist a unique function:

m : C → (A, B)

Factorizer (The Heart of Product)

This function is called the factorizer:

m(x) = (p(x), q(x))

Kotlin Implementation

fun <C, A, B> factorizer(
    p: (C) -> A,
    q: (C) -> B
): (C) -> Pair<A, B> = { x ->
    Pair(p(x), q(x))
}

Real Example — Latitude & Longitude

Domain

data class Location(
    val latitude: Double,
    val longitude: Double
)

Projections

val getLatitude: (Location) -> Double = { it.latitude }
val getLongitude: (Location) -> Double = { it.longitude }

Type matches, meaning is wrong(Compiles!)

val wrong = { loc: Location ->
    Pair(getLatitude(loc), getLatitude(loc)) // bug
}

Output:

(12.97, 12.97)

Here Longitude lost, Type system didn’t help

Correct (Factorizer)

val correct = factorizer(getLatitude, getLongitude)

println(correct(Location(12.97, 77.59)))
// (12.97, 77.59)

Why Factorizer Matters

It enforces laws:

fst(m(x)) = p(x)  
snd(m(x)) = q(x)

Any function that breaks this is not a product

Real Use Case — Parallel Data Fetch

A screen needs to show user info along with their posts.

Define Combine

fun <C, A, B> combine(
    f: (C) -> A,
    g: (C) -> B
): (C) -> Pair<A, B> = { x ->
    Pair(f(x), g(x))
}

Use combine

val fetchAll = combine(
    ::fetchUser,
    ::fetchPosts
)

val result = fetchAll(userId)

We are combining two independent computations into one.

Parallel Version

fun <C, A, B> combineAsync(
    f: suspend (C) -> A,
    g: suspend (C) -> B
): suspend (C) -> Pair<A, B> = { x ->
    coroutineScope {
        val a = async { f(x) }
        val b = async { g(x) }
        Pair(a.await(), b.await())
    }
}

val fetchAll = combineAsync(
    ::fetchUser,
    ::fetchPosts
)

val result = fetchAll(userId)

When values are independent but needed together, they form a Product.

Final Takeaway

A product is not just a pair.

It is:

A structure where every valid combination must pass through one unique path

One-line Conclusion

Product is not about combining values — it’s about guaranteeing the only correct way to combine them