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GuidePublished 7 Aug 2026Updated 13 Aug 20268 min readBy Kevin Jogin
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KEVOS AITesting Quadratic Residuosity: Prime Power and Composite Modulus

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Engineering  /  Mathematics  — Quadratic Residues

Testing Quadratic Residuosity: Prime Power and Composite Modulus

Quadratic residuosity modulo prime powers and composites, the reduction by Chinese remaindering, and where the hardness enters.

Page KV-MATH-0414Reading time 4 minReviewed 2026-08-07Author Kevin Jogin

Executive summary

Residuosity modulo a composite reduces by the Chinese remainder theorem to residuosity modulo each prime power factor. Given the factorisation this is easy.

Without the factorisation the problem is believed hard, and the Jacobi symbol supplies only a partial answer.

Learning objectives

  1. Reduce composite residuosity to prime power residuosity.
  2. Handle prime power moduli including powers of two.
  3. Locate exactly where the hardness enters.

01Prime power moduli

Theorem

Residuosity modulo an odd prime power

For odd prime p and a coprime to p, a is a quadratic residue modulo p^e if and only if it is a quadratic residue modulo p.

The unit group modulo p^e is cyclic, so the same index-2 argument applies, and residuosity is detected at the base prime. A root modulo p lifts to a root modulo p^e by Hensel's method.

Caution
Powers of two behave differently because Z_{2^e}* is not cyclic for e ≥ 3. There, a is a residue modulo 2^e exactly when a ≡ 1 (mod 8), which is a stronger condition than residuosity modulo 2 or 4.
Residuosity by prime power
ModulusResiduosity condition for odd a
2Always
4a ≡ 1 (mod 4)
2^e, e ≥ 3a ≡ 1 (mod 8)
p^e, p odda is a QR mod p

02Composite moduli given the factorisation

Algorithm

Residuosity mod a composite, factorisation known

Inputa, n with the factorisation of n
Outputresidue or non-residue mod n
  1. Factor n into prime powers.
  2. For each odd prime power p^e, test whether a is a residue mod p by Legendre symbol.
  3. For the power of two, apply the congruence condition from the table.
  4. Return residue only if every component test succeeds.
Cost  O(k · len(n)²) for k prime power factors

The correctness is the Chinese remainder theorem: an element is a square in a product ring exactly when each component is a square.

03Where the hardness enters

Caution
Without the factorisation, no efficient method is known. The Jacobi symbol is computable but gives only the product of the constituent Legendre symbols, so it cannot distinguish the case where all are +1 from the case where an even number are −1.
Definition

Quadratic residuosity problem

Given n = pq and a with (a|n) = 1, decide whether a is a quadratic residue modulo n.

  1. With the factorisationO(len(n)²)Two Legendre symbol computations
  2. Without, using JacobiO(len(n)²)Detects non-residues only when the symbol is −1
  3. Without, general caseNo efficient method knownThe quadratic residuosity assumption

For n = pq, the units with Jacobi symbol +1 divide evenly: half are genuine residues, half are pseudo-residues with both Legendre symbols equal to −1. Telling them apart is exactly the hard problem, and it is what Goldwasser–Micali encryption relies on.

04Frequently asked questions

Why is the condition modulo 8 rather than 4 for large powers of two?

Because Z_{2^e}* for e ≥ 3 is a product of a group of order 2 and a cyclic group, so the squares form a subgroup of index 4 rather than 2. The condition a ≡ 1 (mod 8) is exactly membership in that subgroup.

Is the quadratic residuosity problem as hard as factoring?

It is no harder — the factorisation solves it. Whether it is as hard is unknown, so it is a separate assumption, formally weaker than the factoring assumption.

Does a Jacobi symbol of −1 settle the question?

Yes, conclusively: an element with Jacobi symbol −1 cannot be a square, since a square has all constituent Legendre symbols equal to 1. Only the +1 case is ambiguous.

Related pages

  • The Quadratic Residuosity Assumption
  • Testing Quadratic Residuosity: Prime Modulus
  • Computing Modular Square Roots: Prime Modulus

Sources and method

Structural reference: Victor Shoup, A Computational Introduction to Number Theory and Algebra, Version 1, Cambridge University Press, 2005 — book pages 291-292.

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 Testing Quadratic Residuosity: Prime Power and Composite Modulus. 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 Testing Quadratic Residuosity: Prime Power and Composite Modulus as a network of definitions and implications, not as a list of formulas. The working vocabulary on this page—residuosity, prime, composite, quadratic, power—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 Testing Quadratic Residuosity: Prime Power and Composite Modulus?

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 residuosity 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

Testing Quadratic Residuosity: Prime ModulusGuide · Engineering MathematicsNEXT LESSON →Computing Modular Square Roots: Prime ModulusGuide · Engineering MathematicsComputing the Jacobi SymbolGuide · Engineering MathematicsComputing Modular Square Roots: Prime Power ModulusGuide · Engineering Mathematics
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