Sudoku technique guide

Alternating Inference Chain

Sometimes the obvious moves disappear, but the grid is still giving you a useful clue. Alternating Inference Chain is a calm way to follow it.

By the end, you will know what to notice, how the idea works and when it is worth using.

At a glance

Difficulty

Expert

Technique family

Chains

Purpose

Removes candidates or places a number

Typical puzzle stage

Late

Frequency

Rare

Prerequisites

Strong links, weak links and careful notation

Why this technique matters

Alternating Inference Chains are a general framework behind many advanced techniques. Learning the idea makes named patterns feel less like separate tricks.

The idea in plain English

An AIC alternates strong and weak inferences between candidates or grouped candidates. A valid chain shows that an endpoint relationship is forced, allowing an elimination or placement.

How to recognise it

Start with a single digit that has several tight candidate positions. The pattern is easier to see with clean pencil marks and a deliberate scan, not by guessing.

Pause when you see this shape. You do not have to force it; just check whether the pattern is complete.

How the logic unfolds

Think of this as a short conversation with the grid. Take one check at a time, and let each answer tell you what to inspect next.

Start by. Choose one digit and mark every relevant candidate position clearly.

Then. Identify the strong links first: a strong link means the digit has exactly two positions in one unit.

Next. Trace only the links required by the pattern and check that each connection is valid.

Finally. Apply the elimination only to cells that satisfy the pattern’s stated visibility rule.

When it usually appears

Use this after singles, locked candidates, subsets and simpler named patterns have stopped producing progress. Keep the chain short and verify it before acting.

Common traps

These are easy places to get turned around. They are useful checks, not signs that you are doing badly.

  • Treating a link as strong when the digit has more than two positions in that unit. The forced conclusion then fails.
  • Eliminating from a target that does not meet the visibility condition for both relevant endpoints.

Frequently asked questions

Do I need to memorise every chain shape?

No. Learn to verify the link logic first; named shapes become easier to recognise later.

Why are these techniques late-game tools?

They need a well-reduced candidate map. Earlier techniques usually produce a quicker, clearer move.

Quick takeaway

  • An Alternating Inference Chain belongs to the chains family.
  • Its purpose is to remove candidates or places a number.
  • Look for a complete pattern, not one that only nearly fits.
  • It is most useful late.
  • Once you make the deduction, return to the simpler scans.