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GuidePublished 7 Aug 2026Updated 13 Aug 20268 min readBy Kevin Jogin
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KEVOS AISolving Linear Congruences

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Engineering  /  Mathematics  — Integer Foundations

Solving Linear Congruences

Solving ax = b (mod n): the solvability criterion, the exact number of solutions, and the algorithm via extended Euclid.

Page KV-MATH-0311Reading time 4 minReviewed 2026-08-07Author Kevin Jogin

Executive summary

The linear congruence ax ≡ b (mod n) is the modular analogue of a linear equation, and unlike the real case it may have no solutions or many. The number is determined entirely by gcd(a, n).

The solvability criterion and the solution count are both consequences of Bezout's identity, and the algorithm is extended Euclid with a scaling step.

Learning objectives

  1. State the solvability criterion for a linear congruence.
  2. Determine the exact number of incongruent solutions.
  3. Execute the solution algorithm and handle the non-coprime case.

01When a solution exists

Theorem

Solvability criterion

The congruence ax ≡ b (mod n) has a solution if and only if d = gcd(a, n) divides b.

When solvable, there are exactly d solutions modulo n, forming a single residue class modulo n/d.

The criterion follows from Bezout. The set of values ax mod n as x ranges over the integers is exactly the set of multiples of d in the range, because {ax + ny} is the ideal generated by d.

Solution structure
CaseConditionSolutions mod n
Uniquegcd(a, n) = 1Exactly one
Multipled = gcd(a, n) > 1 and d | bExactly d
Noned ∤ bZero

02The algorithm

Algorithm

Solve ax ≡ b (mod n)

Inputa, b, n with n > 0
Outputall x with ax ≡ b (mod n), or a report of insolubility
  1. Compute d = gcd(a, n) together with Bezout coefficients s, t satisfying as + nt = d, using extended Euclid.
  2. If d does not divide b, report that no solution exists and stop.
  3. Set a' = a/d, b' = b/d, n' = n/d. Now gcd(a', n') = 1.
  4. The inverse of a' modulo n' is s mod n' (the same s from step 1).
  5. Compute x0 = b' · s mod n'.
  6. The full solution set modulo n is x0, x0 + n', x0 + 2n', ..., x0 + (d−1)n'.
Cost  O(len(n)²) bit operations

Step 4 deserves comment. The Bezout coefficient s from as + nt = d satisfies a's + n't = 1 after dividing through by d, so the same s serves as the inverse of a' modulo n' without a second Euclid run.

03Worked structure

Consider 6x ≡ 9 (mod 15). Here gcd(6, 15) = 3, which divides 9, so solutions exist and there are exactly three of them modulo 15.

  1. Reduce

    Divide through by 3: the congruence becomes 2x ≡ 3 (mod 5).

  2. Invert

    The inverse of 2 modulo 5 is 3, since 2·3 = 6 ≡ 1.

  3. Solve reduced

    x ≡ 3·3 = 9 ≡ 4 (mod 5).

  4. Lift

    The solutions modulo 15 are 4, 9 and 14.

Note
The three solutions form one residue class modulo 5, not three unrelated values. This is the general shape: the solution set is always a single coset of the subgroup generated by n/d.

04Frequently asked questions

Why exactly d solutions rather than some other count?

Because the reduced congruence has a unique solution modulo n/d, and each residue class modulo n/d splits into exactly d classes modulo n. The count is the index of the subgroup, not a coincidence of the arithmetic.

Is it necessary to run extended Euclid, or does plain Euclid suffice?

The extended version is needed. Plain Euclid returns the gcd, which settles solvability, but constructing the solution requires the Bezout coefficient, which only the extended version produces.

How does this generalise to systems of congruences?

Through the Chinese remainder theorem when the moduli are pairwise coprime. For non-coprime moduli a system is solvable exactly when every pair is consistent on the gcd of its moduli, and the combined solution is unique modulo the lcm.

Related pages

  • The Extended Euclidean Algorithm
  • Modular Inverses and Chinese Remaindering
  • Congruences and Modular Arithmetic
  • Residue Classes and the Ring of Integers Modulo n

Sources and method

Structural reference: Victor Shoup, A Computational Introduction to Number Theory and Algebra, Version 1, Cambridge University Press, 2005 — book pages 15-20.

This page carries the durable method layer only: definitions, constructions, algorithms, complexity results and selection criteria, authored originally for KEVOS. No text is transcribed or paraphrased from the source, and no numeric tables or benchmark data are reproduced — these are routed to live authoritative sources instead.

Author: Kevin Jogin. Last reviewed 2026-08-07.

Handbook application: from concept to controlled practice

Purpose. This expanded section turns the original page into a practical handbook. It preserves the supplied material and adds a repeatable way to apply, check and review Solving Linear Congruences. It does not replace a contract, legislation, a controlled standard, competent engineering judgement or specialist advice.

The operating aim is to turn a compact mathematical statement into a usable chain of definitions, claims, examples and checks. Read the original explanation first, then use the workflow and checks below to convert knowledge into evidence.

Treat Solving Linear Congruences as a network of definitions and implications, not as a list of formulas. The working vocabulary on this page—solving, algorithm, linear, congruences, solvability—should be made explicit before any proof or computation begins. Record the ambient set or structure, the permitted operations and the equality or equivalence relation in use. A compact theorem often changes meaning when the base field, finiteness condition, commutativity assumption or direction of an action changes.

For a proof, write the hypotheses as a checklist and mark the line at which each one is used. For a computation, state the representation of the input, the arithmetic model, the termination condition and the output invariant. For a classification problem, distinguish existence from uniqueness and distinguish an object from its representation. These separations prevent a correct local calculation from being mistaken for the general result.

A useful worked example should be small enough to inspect completely but rich enough to exercise the main mechanism. Compute the result in two ways where practical: symbolically and by substitution, structurally and numerically, or directly and through a normal form. Then include one near-miss example in which a hypothesis fails. The contrast explains why the theorem is shaped as it is and gives the reader a diagnostic pattern for later problems.

Verification is part of the mathematics. Check domains and codomains, substitute proposed solutions, test identity and zero cases, compare dimensions or cardinalities, and confirm that maps respect the required operations. In numerical work, report precision, conditioning and a residual rather than digits alone. In algorithmic work, separate mathematical correctness from implementation complexity and resource limits.

Step-by-step operating method

  1. Fix the setting. State the objects, ambient structure, notation and assumptions before manipulating symbols.
  2. Separate claims. Distinguish definitions, hypotheses, conclusions, equivalent conditions and consequences.
  3. Choose a method. Select proof, construction, calculation or algorithm according to the question actually asked.
  4. Work a small case. Use the smallest non-trivial example to expose the mechanism and test edge behaviour.
  5. Verify independently. Substitute back, check invariants, test boundary cases or use an alternative derivation.

Worked-example protocol

Illustrative method—not a source theorem. Start with a small admissible input and list the definitions it must satisfy. Carry out each transformation on a separate line, citing the property that permits it. Preserve exact values until approximation is necessary. At the end, verify the output against the original definition and one invariant such as dimension, degree, determinant, order, norm or residual. Then alter one hypothesis and observe which step ceases to be valid. This protocol creates a reusable example without inventing a theorem-specific numerical answer.

StageRecordQuality check
InputObjects, domain, notation, assumptionsEvery symbol is defined
MethodPermitted operation or cited result at each stepAll hypotheses hold
OutputExact result and representationCorrect type, domain and form
VerificationSubstitution, invariant or alternative derivationIndependent agreement
Boundary testZero, identity, degenerate or failed hypothesisScope is understood

Common failure modes and recovery actions

1. Watch for

Using a theorem without checking every hypothesis.

Recovery: Return to the governing definition or requirement and restate the decision in one sentence.

2. Watch for

Treating a suggestive example as a proof of the general case.

Recovery: Separate evidence from assumption, assign an owner and set a date for validation.

3. Watch for

Changing notation or conventions part-way through an argument.

Recovery: Run a small counterexample, boundary test, pilot or independent check before proceeding.

4. Watch for

Hiding a division-by-zero, convergence, finiteness or commutativity assumption.

Recovery: Record the consequence, decision and rationale, then update the controlled baseline.

5. Watch for

Reporting a computed result without a residual, substitution or structural check.

Recovery: Escalate when the issue affects safety, compliance, acceptance, material value or an agreed tolerance.

Review checklist

  • Can every symbol be traced to a definition or prior result?
  • Which hypothesis does each major step use?
  • Does the method cover zero, identity, degenerate and boundary cases?
  • Can the conclusion be checked by a second representation or calculation?
  • Are mandatory requirements distinguished from recommendations and illustrative values?
  • Are sources, assumptions, units, dates and versions recorded closely enough to reproduce the decision?
  • Have safety, legal, ethical, stakeholder and operational consequences been considered at the appropriate level?
  • Is there a named owner and a trigger for review, escalation, change or retirement?

Questions for deeper application

What is the most important distinction a practitioner must preserve when applying Solving Linear Congruences?

Answer with a fact or cited source where available. Where evidence is incomplete, record the assumption, consequence, responsible owner and next validation action.

Which assumption about solving would change the result most if it proved false?

Answer with a fact or cited source where available. Where evidence is incomplete, record the assumption, consequence, responsible owner and next validation action.

What evidence would allow an independent reviewer to reproduce or challenge the conclusion?

Answer with a fact or cited source where available. Where evidence is incomplete, record the assumption, consequence, responsible owner and next validation action.

Which boundary, exception or failure case has not yet been tested?

Answer with a fact or cited source where available. Where evidence is incomplete, record the assumption, consequence, responsible owner and next validation action.

What must be handed over, monitored or reviewed after the immediate work is complete?

Answer with a fact or cited source where available. Where evidence is incomplete, record the assumption, consequence, responsible owner and next validation action.

Authoritative references and use notes

The sources below were selected as institutional or primary guidance for the broader practice. They support the handbook method; they do not imply that every statement or clause in a source applies to every project. Confirm the current edition, jurisdiction, contract and application before treating any requirement as mandatory.

  • MIT OpenCourseWare — Number Theory I — Massachusetts Institute of Technology. Used for algebraic and analytic number theory. Accessed 2026-08-13.
  • MIT OpenCourseWare — Algebra I — Massachusetts Institute of Technology. Used for groups, vector spaces, linear transformations and linear groups. Accessed 2026-08-13.

Continue learning

Congruences and Modular ArithmeticGuide · Engineering MathematicsNEXT LESSON →Residue Classes and the Ring of Integers Modulo nGuide · Engineering MathematicsConsequences of Unique FactorizationGuide · Engineering MathematicsThe Chinese Remainder TheoremGuide · Engineering Mathematics
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