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GuidePublished 7 Aug 2026Updated 13 Aug 20268 min readBy Kevin Jogin
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Engineering  /  Mathematics  — Quadratic Residues

The Law of Quadratic Reciprocity

The law of quadratic reciprocity, its statement, and why it makes symbol evaluation efficient.

Page KV-MATH-0410Reading time 4 minReviewed 2026-08-07Author Kevin Jogin

Executive summary

Quadratic reciprocity relates the solvability of x squared congruent to q modulo p with that of x squared congruent to p modulo q. The relationship is a simple sign rule depending on the residues of both primes modulo four.

Its computational value is that it permits the arguments of a Legendre symbol to be swapped, which turns evaluation into a Euclid-style reduction.

Learning objectives

  1. State the law and its sign condition.
  2. Explain its computational significance.
  3. Place it in mathematical context.

01The statement

Theorem

Law of quadratic reciprocity

For distinct odd primes p and q:

(p|q)(q|p) = (−1)^{((p−1)/2)((q−1)/2)}.

Equivalently, (p|q) = (q|p) unless both p and q are congruent to 3 modulo 4, in which case (p|q) = −(q|p).

The surprise is that there should be any relationship at all. Whether q is a square modulo p concerns arithmetic in one system; whether p is a square modulo q concerns a different one. The law says the two questions have nearly the same answer, with a correction depending only on the residues modulo four.

Reciprocity sign rule
p mod 4q mod 4Relationship
11(p|q) = (q|p)
13(p|q) = (q|p)
31(p|q) = (q|p)
33(p|q) = −(q|p)

02Why it makes evaluation fast

Reciprocity lets the two arguments be exchanged. Combined with reduction of the numerator modulo the denominator, this produces a strictly decreasing sequence exactly like the Euclidean algorithm.

  1. Reduce the numerator

    Replace a by a mod p, which does not change the symbol.

  2. Extract factors of two

    Apply the supplementary law for 2 repeatedly until the numerator is odd.

  3. Flip by reciprocity

    Swap numerator and denominator, adjusting the sign by the rule above.

  4. Repeat

    Arguments strictly decrease, so the process terminates in logarithmically many steps.

This is why symbol evaluation costs O(len(p)²) rather than the O(len(p)³) of Euler's criterion, and why it needs no factorisation of the numerator.

Note
The structural parallel with Euclid is exact: both reduce a pair by division and swapping, and both terminate for the same reason. The only addition is bookkeeping for the sign.

03Context

Reciprocity was conjectured by Euler and Legendre and first proved by Gauss, who called it the golden theorem and gave several distinct proofs over his lifetime. More than two hundred proofs are now known.

  • Why so many proofs

    The law sits at the meeting point of several theories — Gauss sums, cyclotomy, counting lattice points, algebraic number theory — and each gives a different route.

  • Higher reciprocity

    Cubic, quartic and general power reciprocity laws extend the pattern, and the search for them motivated much of algebraic number theory.

  • Artin reciprocity

    The modern formulation places quadratic reciprocity as a special case of a general statement in class field theory.

For the purposes of this collection the law is a computational tool, but it is worth knowing that the tool is a shadow of a much larger structure, and that pursuing its generalisations built a substantial part of modern number theory.

04Frequently asked questions

Does reciprocity help decide residuosity modulo a composite?

It permits computing the Jacobi symbol without factoring, but a Jacobi symbol of plus one does not establish residuosity modulo a composite. That gap is the basis of the quadratic residuosity assumption.

Is there an elementary proof?

Several. Eisenstein's lattice-point counting proof is the most commonly presented and requires nothing beyond careful counting, though it is not short.

Why does the sign depend on residues modulo 4?

Because the quantity (p−1)/2 is even exactly when p ≡ 1 (mod 4), so the exponent in the sign formula is odd only when both primes are 3 mod 4. The condition is arithmetic bookkeeping in the exponent.

Related pages

  • The Jacobi Symbol
  • The Legendre Symbol

Sources and method

Structural reference: Victor Shoup, A Computational Introduction to Number Theory and Algebra, Version 1, Cambridge University Press, 2005 — book pages 285-287.

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 The Law of Quadratic Reciprocity. 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 The Law of Quadratic Reciprocity as a network of definitions and implications, not as a list of formulas. The working vocabulary on this page—reciprocity, quadratic, statement, makes, evaluation—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 The Law of Quadratic Reciprocity?

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 reciprocity 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 — Algebra I — Massachusetts Institute of Technology. Used for groups, vector spaces, linear transformations and linear groups. Accessed 2026-08-13.
  • The Stacks Project — table of contents — The Stacks Project. Used for commutative algebra, homological algebra, modules and derived categories. Accessed 2026-08-13.

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