A Partial Take on Partial Order

What makes a number register in our minds? In most instances, it would be the notion of order. Here, we discuss the ordering of \mathbb N, then explore it in the context of other sets like \mathbb Z, \mathbb Q,\mathbb R. Remarkably, we cannot extend this notion to the complex numbers \mathbb C.

What do we mean when we say that 1 \leq 2? Essentially, it means that 2 = 1 + 1 = 1 + k for some nonnegative integer k. We can formalise as follows.

Definition 1. Define the not-greater relation \leq on \mathbb N by

\displaystyle x \leq y \quad \iff \quad (\exists k \in \mathbb N : y = x + k),

where we denote x \leq y \iff (x,y) \in\ \leq for readability.

Definition 2. A relation \preceq on a set K is a partial order if it is reflexive, transitive, and anti-symmetric:

\forall x,y \in K\quad (x \preceq y \wedge y \preceq x \Rightarrow x = y).

For any partial order \preceq on K, we write x \prec y to mean (x \preceq y) \wedge (x \neq y) and x \succ y \iff y \prec x. A partial order is a total order if for any x, y \in K, (x \preceq y) \lor (y \preceq x).

Theorem 1. The relation \leq on \mathbb N is a total order.

Proof. Exercise.

How do we order \mathbb Z? We use the ordering on \mathbb N creatively. Recall that integers can be conceived as sets of the form [(x,y)], which is interpreted to mean, loosely, the quantity x - y, whether or not this expression is meaningful:

[(x_1,y_1)] \leq [(x_2,y_2)]\quad \iff \quad x_1 + y_2 \leq x_2 + y_1.

Notice that on the right-hand side, we have the ordering as defined in Definition 1. In fact, particularising to y_1 = y_2 = 0 gives us the original formulation. We will leave its proof as a bona fide total order as an exercise in bookkeeping.

Theorem 2. Define the ordering \leq on \mathbb Z = \mathbb N^2/{\equiv} by

[(x_1,y_1)] \leq [(x_2,y_2)]\quad \iff \quad x_1 + y_2 \leq x_2 + y_1.

Then \leq is a well-defined total order on \mathbb Z that agrees with the ordering on \mathbb N in Definition 1.

Just like with integers, we can define ordering in \mathbb Q in a similar manner.

Theorem 3. Define the ordering \leq on \mathbb Q = (\mathbb Z \times \mathbb N)/{\equiv} by

[(x_1,y_1)] \leq [(x_2,y_2)]\quad \iff \quad x_1 y_2 \leq x_2 y_1.

Then \leq is a well-defined total order on \mathbb Q that agrees with the ordering on \mathbb Z in Theorem 2.

With some effort, the ordering on \mathbb R can be shown to exist and agree with the ordering in \mathbb Q, though as with any notion connected with \mathbb R, should be relegated to a study in real analysis.

Lemma 1. The ordering on \mathbb Q satisfies the following properties:

  • For any x,y,z \in \mathbb Q, x \leq y \Rightarrow x+z \leq y+z.
  • For any x,y \in \mathbb Q, (x \geq 0) \wedge (y \geq 0) \Rightarrow xy \geq 0.

With some effort, the properties on \mathbb Q also transfer to \mathbb R. We call them ordered fields. More precisely, we will show that if \mathbb C is an ordered field, its ordering violates the ordering on \mathbb R, and thus all the orderings defined on its subsets \mathbb Q, \mathbb Z, \mathbb N. For now, we can think of \mathbb C as a field that contains \mathbb R as a subset, together with the peculiar element i := \sqrt{-1} with the property that i^2 = -1.

Theorem 4. Suppose \leq is a total order on \mathbb C such that \mathbb C is an ordered field. Then \leq does not agree with \mathbb R.

Proof. Suppose \leq agrees with \mathbb R. We will derive a contradiction. Since \leq is a total order, we either have 1 \leq i or i \leq 1. Suppose the former without loss of generality. Then

\displaystyle i = i \cdot 1 \leq i \cdot i = i^2 = -1.

Multiplying by i on both sides again yields -1 \leq -i, so that i \leq 1. By anti-symmetry, 1 = i, a contradiction.

—Joel Kindiak, 10 Dec 24, 2155H

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