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Chinese remainder theorem

The Chinese remainder theorem is a result about congruences in number theory and its generalizations in abstract algebra. It was first published in the 3rd to 5th centuries by Chinese mathematician Sun Tzu.

In its basic form, the Chinese remainder theorem will determine a number n that when divided by some given divisors leaves given remainders. For example, what is the lowest number n that when divided by 3 leaves a remainder of 2, when divided by 5 leaves a remainder of 3, and when divided by 7 leaves a remainder of 2?

Contents

  • Theorem statement 1
  • Existence and uniqueness 2
    • Case of two equations (k = 2) 2.1
    • General case 2.2
  • Finding the solution with basic algebra and modular arithmetic 3
    • Brute-force Approach 3.1
    • Algebraic Approach 3.2
  • A constructive algorithm to find the solution 4
  • Statement for principal ideal domains 5
  • Statement for general rings 6
  • Applications 7
    • Sequence Numbering 7.1
    • Fast Fourier Transform 7.2
    • RSA Algorithm 7.3
    • Encryption 7.4
    • Hermite Interpolation 7.5
    • Dedekind's Theorem 7.6
  • Non-commutative case: a caveat 8
  • See also 9
  • References 10
  • External links 11

Theorem statement

The original form of the theorem, contained in the 5th-century book Sunzi's Mathematical Classic (孫子算經) by the Chinese mathematician Sun Tzu and later generalized with a complete solution called Dayanshu (大衍術) in Qin Jiushao's 1247 Mathematical Treatise in Nine Sections (數書九章, Shushu Jiuzhang), is a statement about simultaneous congruences.

Suppose n1, ..., nk are positive integers that are pairwise coprime. Then, for any given sequence of integers a1, ..., ak, there exists an integer x solving the following system of simultaneous congruences.

\begin{cases} x \equiv a_1 & \pmod{n_1} \\ \quad \cdots \\ x \equiv a_k &\pmod{n_k} \end{cases}

Furthermore, all solutions x of this system are congruent modulo the product, N = n1 ... nk. Hence

x \equiv y \pmod{n_i}, \quad 1 \leq i \leq k \qquad \Longleftrightarrow \qquad x \equiv y \pmod{N}.

Sometimes, the simultaneous congruences can be solved even if the ni are not pairwise coprime. A solution x exists if and only if:

a_i \equiv a_j \pmod{\gcd(n_i,n_j)} \qquad \text{for all }i\text{ and }j

All solutions x are then congruent modulo the least common multiple of the ni.

Sun Tzu's work contains neither a proof nor a full algorithm. What amounts to an algorithm for solving this problem was described by Aryabhata (6th century; see Kak 1986). Special cases of the Chinese remainder theorem were also known to Brahmagupta (7th century), and appear in Fibonacci's Liber Abaci (1202).

A modern restatement of the theorem in algebraic language is that for a positive integer with prime factorization

n = p_1^{r_1}\cdots p_k^{r_k}

we have the isomorphism between a ring and the direct product of its prime power parts:

\mathbf{Z}/n\mathbf{Z} \cong \mathbf{Z}/p_1^{r_1}\mathbf{Z} \times \cdots \times \mathbf{Z}/p_k^{r_k}\mathbf{Z}

The theorem can also be restated in the language of combinatorics as the fact that the infinite arithmetic progressions of integers form a Helly family (Duchet 1995).

Existence and uniqueness

The existence and uniqueness of the solution can easily be seen through a non-constructive argument:

There are N = n1 ... nk different k-tuples of remainders. Let us call this set R. On the other hand N = #{1, ..., N}, and each element of {1, ..., N} corresponds to an element of R. Can two numbers a, b ∈ {1, ..., N}, correspond to the same member of R? That is, can they have the same set of remainders when divided by n1, ..., nk? If they did then ab would be divisible by each ni. Since the ni are relatively prime, ab would be divisible by their product: N. This can't be, so this function {1, ..., N} → R is one-to-one. Since #{1, ..., N} = #R, it must be onto as well. Thus we have established the existence of a bijection.

Existence can be seen by an explicit construction of x. Let [a−1]b denote the multiplicative inverse of a (mod b) given by the Extended Euclidean algorithm. It is defined exactly when a and b are coprime; the following construction explains why this condition is needed.

Case of two equations (k = 2)

Consider the system:

\begin{cases} x \equiv a_1 & \pmod{n_1} \\ x \equiv a_2 & \pmod{n_2} \end{cases}

Since gcd(n1, n2) = 1, Bézout's identity implies:

n_2 \left [n_2^{-1} \right ]_{n_1} + n_1 \left [n_1^{-1} \right ]_{n_2} = 1

This is true because we are using the inverses provided by the Extended Euclidean algorithm; for any other inverses, this would not necessarily be true, but still be valid (mod n1n2).

Multiplying both sides by x, we get

x = x n_2 \left [n_2^{-1} \right ]_{n_1} + x n_1 \left [n_1^{-1} \right ]_{n_2}

If we take the congruence modulo n1 for the right-hand-side expression, it is readily seen that

x \underbrace{n_2 \left [n_2^{-1} \right ]_{n_1}}_1 + x \underbrace{n_1}_0 \left [n_1^{-1} \right ]_{n_2} \equiv x \times 1 + x \times 0 \times \left [n_1^{-1} \right ]_{n_2} \equiv x \pmod {n_1}

But we know that xa1 (mod n1), thus this suggests that the coefficient of the first term on the right-hand-side expression can be replaced by a1. Similarly, we can show that the coefficient of the second term can be substituted by a2. We can now define the value

x \equiv a_1 n_2 \left [n_2^{-1} \right ]_{n_1} + a_2 n_1 \left [n_1^{-1} \right ]_{n_2}

and it is seen to satisfy both congruences, for example:

a_1 n_2 \left [n_2^{-1} \right ]_{n_1} + a_2 n_1 \left [n_1^{-1} \right ]_{n_2} \equiv a_1 \times 1 + a_2 \times 0 \times \left [n_1^{-1} \right ]_{n_2} \equiv a_1 \pmod {n_1}

General case

The same type of construction works in the general case of k congruence equations. Let N = n1 ... nk be the product of every modulus then define

x := \left[\sum_{i} a_i \frac{N}{n_i} \left[\left(\frac{N}{n_i}\right)^{-1}\right]_{n_i}\right]_{N}

and this is seen to satisfy the system of congruences by a similar calculation as before.

Finding the solution with basic algebra and modular arithmetic

For example, consider the problem of finding an integer x such that

\begin{cases} x \equiv 2 \pmod{3} \\ x \equiv 3 \pmod{4} \\ x \equiv 1 \pmod{5} \end{cases}

Brute-force Approach

A brute-force approach converts these congruences into sets and writes the elements out to the product of 3×4×5 = 60 (the solutions modulo 60 for each congruence):

x ∈ {2, 5, 8, 11, 14, 17, 20, 23, 26, 29, 32, 35, 38, 41, 44, 47, 50, 53, 56, 59, 62, 65, 68, 71, 74, ...}
x ∈ {3, 7, 11, 15, 19, 23, 27, 31, 35, 39, 43, 47, 51, 55, 59, 63, 67, 71, 75, 79, ...}
x ∈ {1, 6, 11, 16, 21, 26, 31, 36, 41, 46, 51, 56, 61, 66, 71, 76, 81, 86, 91, 96, ...}

To find an x that satisfies all three congruences, intersect the three sets to get:

x ∈ {11, 71, ...}

Which can be expressed as

x \equiv 11 \pmod{60}

Algebraic Approach

Another way to find a solution is with basic algebra, modular arithmetic, and stepwise substitution.

We start by translating these congruences into equations for some t, s, and u:

\begin{cases}x = 2 + 3t \\ x = 3 + 4s \\ x = 1 + 5u \end{cases}

Start by substituting the x from the first equation into the second congruence:

\begin{align} 2 + 3t &\equiv 3 &&\pmod{4} \\ 3t &\equiv 1 && \pmod{4} \\ t &\equiv (3)^{-1} \equiv 3 &&\pmod{4} \end{align}

meaning that t = 3 + 4s for some integer s. Substitute t into the first equation:

x = 2 + 3t = 2 + 3(3 + 4s) = 11 + 12s

Substitute this x into the third congruence:

\begin{align} 11 + 12s &\equiv 1 && \pmod{5} \\ 1 + 2s &\equiv 1 &&\pmod{5} \\ 2s &\equiv 0 &&\pmod{5} \end{align}

meaning that s = 0 + 5u for some integer u. Finally,

x = 11 + 12s = 11 + 12(5u) = 11 + 60u

So, we have solutions {11, 71, 131, 191, ...}.

Notice that 60 = lcm(3,4,5). If the moduli are pairwise coprime (as they are in this example), the solutions will be congruent modulo their product.

A constructive algorithm to find the solution

The following algorithm only applies if the ni are pairwise coprime. (For simultaneous congruences when the moduli are not pairwise coprime, the method of successive substitution can often yield solutions.)

Suppose, as above, that a solution is required for the system of congruences:

x \equiv a_i \pmod{n_i}, \qquad i = 1, \cdots, k.

Define: N = n1 ... nk. For each i, the integers ni and N/ni are coprime. Using the extended Euclidean algorithm we can find ri, siZ such that rini + siN/ni = 1. Substitute ei for siN/ni, to arrive at: rini + ei = 1. So the remainder of ei divided by ni is 1. On the other hand, ei = siN/ni, guarantees that nj divides ei for ji. To summarize:

e_i \equiv \begin{cases} 1 \pmod{n_i} \\ 0 \pmod{n_j} & j \ne i \end{cases}

Because of this, and the multiplication rules allowed in congruences, one solution to the system of simultaneous congruences is:

x = \sum_{i=1}^k a_i e_i

For example, consider the problem of finding an integer x such that

\begin{cases} x \equiv 2 & \pmod{3} \\ x \equiv 3 & \pmod{4} \\ x \equiv 1 & \pmod{5} \end{cases}

Using the extended Euclidean algorithm, for x modulo 3 and 20 [4 × 5], we find (−13) × 3 + 2 × 20 = 1; i.e., e1 = 40. For x modulo 4 and 15 [3 × 5], we get (−11) × 4 + 3 × 15 = 1, i.e. e2 = 45. Finally, for x modulo 5 and 12 [3 × 4], we get 5 × 5 + (−2) × 12 = 1, i.e. e3 = −24. A solution x is therefore 2 × 40 + 3 × 45 + 1 × (−24) = 191. All other solutions are congruent to 191 modulo 60, [3 × 4 × 5], which means they are all congruent to 11 modulo 60.

Note: There are multiple implementations of the extended Euclidean algorithm which will yield different sets of e1 = −20, e2 = −15, and e3 = −24. These sets however will produce the same solution; i.e., (−20)2 + (−15)3 + (−24)1 = −109 ≡ 11 (mod 60).

Statement for principal ideal domains

Chinese Remainder Theorem for Principal Ideal Domains. Let R be principal ideal domain. If u1, ..., uk are pairwise coprime elements of R where u = u1...uk, then the quotient ring R/uR and the product ring R/u1R × ... × R/ukR are isomorphic via the following map:
\begin{cases} f: R/uR \to R/u_1R \times \cdots \times R/u_k R \\ f(x +uR) = (x + u_1R, \ldots, x + u_kR) \end{cases}

This statement is a straightforward generalization of the above theorem about integer congruences: Z is a principal ideal domain, the surjectivity of the map f shows that every system of congruences of the form

x \equiv a_i \pmod{u_i} \qquad 1 \leq i \leq k

can be solved for x, and the injectivity of the map f shows that all the solutions x are congruent modulo u.

Proof. This map is well-defined and an isomorphism of rings; the inverse isomorphism can be constructed as follows. For each i, the elements ui and u/ui are coprime, and therefore there exist elements r and s in R with

r u_i + s u/u_i = 1

Set ei = su/ui. Then it is clear that

e_i \equiv \delta_{ij} \pmod{u_jR}.

Thus the inverse of f is the map

\begin{cases}g: R/u_1R \times \cdots \times R/u_kR \to R/uR \\ g(a_1 + u_1R, \ldots, a_k + u_kR) = \sum_{i=1}^k a_i e_i + uR \end{cases}

Statement for general rings

The general form of the Chinese remainder theorem, which implies all the statements given above, can be formulated for commutative rings and ideals.

Chinese Remainder Theorem for Commutative Rings. If R is a commutative ring and I1, ..., Ik are ideals of R that are pairwise coprime (meaning Ii + Ij = R for all ij), then the product I of these ideals is equal to their intersection, and the quotient ring R/I is isomorphic to the product ring R/I1 × ... × R/Ik via the isomorphism
\begin{cases}f: R/I \to R/I_1 \times \cdots \times R/I_k \\ f(x + I) = (x + I_1, \cdots, x + I_k) \end{cases}

Here is a version of the theorem where R is not required to be commutative:

Chinese Remainder Theorem for Noncommutative Rings. Let R be any ring with 1 (not necessarily commutative) and I1, ..., Ik be pairwise coprime 2-sided ideals. Then the canonical R-module homomorphism RR/I1 × ... × R/Ik is onto, with kernel I1 ∩ ... ∩ Ik. Hence, \scriptstyle R/(I_1 \,\cap\, \cdots \,\cap\, I_k) \,\simeq\, R/I_1 \,\times\, \cdots \,\times\, R/I_k (as R-modules).

Applications

Sequence Numbering

The Chinese remainder theorem can be used to construct an elegant Gödel numbering for sequences, which is needed to prove Gödel's incompleteness theorems.

Fast Fourier Transform

The Good-Thomas fast Fourier transform algorithm exploits a re-indexing of the data based on the Chinese remainder theorem. The Prime-factor FFT algorithm contains an implementation.

RSA Algorithm

In the RSA algorithm calculations are made modulo n, where n is a product of two large prime numbers p and q. 1,024-, 2,048- or 4,096-bit integers n are commonly used, making calculations in Z/nZ very time-consuming. By the Chinese remainder theorem, however, these calculations can be done in the isomorphic ring Z/pZZ/qZ instead. Since p and q are normally of about the same size, that is about n, calculations in the latter representation are much faster. Note that RSA algorithm implementations using this isomorphism are more susceptible to fault injection attacks.

Encryption

The Chinese remainder theorem can also be used in secret sharing, which consists of distributing a set of shares among a group of people who, all together (but no one alone), can recover a certain secret from the given set of shares. Each of the shares is represented in a congruence, and the solution of the system of congruences using the Chinese remainder theorem is the secret to be recovered. Secret Sharing using the Chinese Remainder Theorem uses, along with the Chinese remainder theorem, special sequences of integers that guarantee the impossibility of recovering the secret from a set of shares with less than a certain cardinality.

Hermite Interpolation

The General Hermite Interpolation Problem. Given r complex points ("interpolation nodes") λ1, ..., λr and complex data {aj,k : 1 ≤ jr, 0 ≤ k < νj}, find P(x) ∈ C[x] such that:
P^{(k)}(\lambda_j) = a_{j, k}\qquad 1 \leq j \leq r, \quad 0 \leq k < \nu_j.

Solution. Introducing the polynomials

A_j(x) := \sum_{k=0}^{\nu_j - 1}\frac{a_{j, k}}{k!}(x - \lambda_j)^k

the problem may be equivalently reformulated as a system of r simultaneous congruences:

P(x) \equiv A_j(x) \pmod {(x - \lambda_j)^{\nu_j}}, \qquad 1 \leq j \leq r

By the Chinese remainder theorem in the principal ideal domain C[x], there is a unique polynomial P(x) such that:

\deg(P) < n := \sum_j\nu_j.

A direct construction, in analogy with the above proof for the integer number case, can be performed as follows. Define the polynomials

\begin{align} Q &= \prod_{i=1}^{r}(x - \lambda_i)^{\nu_i} \\ Q_j &= \frac{Q}{(x - \lambda_j)^{\nu_j}} \end{align}

The partial fraction decomposition of 1/Q gives r polynomials Sj with degrees deg(Sj) < νj such that

\frac{1}{Q} = \sum_{i=1}^{r} \frac{S_i}{(x - \lambda_i)^{\nu_i}}

so that

1 = \sum_{i=1}^{r}S_i Q_i.

Then a solution of the simultaneous congruence system is given by the polynomial

\sum_{i=1}^r A_i S_i Q_i = A_j + \sum_{i=1}^{r}(A_i - A_j) S_i Q_i \equiv A_j\pmod{(x - \lambda_j)^{\nu_j}}\qquad 1 \leq j \leq r

and the minimal degree solution is this one reduced modulo Q, that is the unique with degree less than n.

Dedekind's Theorem

Dedekind's Theorem on the Linear Independence of Characters. Let M be a monoid and k an integral domain, viewed as a monoid by considering the multiplication on k. Then any finite family fi )iI of distinct monoid homomorphisms  fi : Mk is linearly independent. In other words every family (αi)iI of elements αik satisfying
\sum_{i \in I}\alpha_i f_i = 0
must be equal to the family (0)iI.

Proof. First assume that k is a field, otherwise, replace the integral domain k by its quotient field, and nothing will change. We can linearly extend the monoid homomorphisms  fi : Mk to k-algebra homomorphisms Fi : k[M] → k, where k[M] is the monoid ring of M over k. Then, by linearity, the condition

\sum_{i\in I}\alpha_i f_i = 0,

yields

\sum_{i \in I}\alpha_i F_i = 0.

Next, for i, jI; ij the two k-linear maps Fi : k[M] → k and Fj : k[M] → k are not proportional to each other. Otherwise  fi  and  fj  would also be proportional, and thus equal since as monoid homomorphisms they satisfy:  fi (1) = 1 =  fj (1), which contradicts the assumption that they are distinct.

Therefore the kernels Ker Fi and Ker Fj are distinct. Since k[M]/Ker FiFi(k[M]) = k is a field, Ker Fi is a maximal ideal of k[M] for every iI. Because they are distinct and maximal the ideals Ker Fi and Ker Fj are coprime whenever ij. The Chinese Remainder Theorem (for general rings) yields an isomorphism:

\begin{cases} \phi: k[M] / K \to \prod_{i \in I}k[M] / \mathrm{Ker} F_i \\ \phi(x + K) = \left(x + \mathrm{Ker} F_i\right)_{i \in I} \end{cases}

where

K = \prod_{i \in I}\mathrm{Ker} F_i = \bigcap_{i \in I}\mathrm{Ker} F_i.

Consequently, the map

\begin{cases} \Phi: k[M] \to \prod_{i \in I}k[M]/ \mathrm{Ker} F_i \\ \Phi(x) = \left(x + \mathrm{Ker} F_i\right)_{i \in I} \end{cases}

is surjective. Under the isomorphisms k[M]/Ker FiFi(k[M]) = k, the map Φ corresponds to:

\begin{cases}\psi: k[M] \to \prod_{i \in I}k \\ \psi(x) = \left[F_i(x)\right]_{i \in I} \end{cases}

Now,

\sum_{i \in I}\alpha_i F_i = 0

yields

\sum_{i \in I}\alpha_i u_i = 0

for every vector (ui)iI in the image of the map ψ. Since ψ is surjective, this means that

\sum_{i \in I}\alpha_i u_i = 0

for every vector

\left(u_i\right)_{i \in I} \in \prod_{i \in I}k.

Consequently, (αi)iI = (0)iI. QED.

Non-commutative case: a caveat

Sometimes in the commutative case, the conclusion of the Chinese Remainder Theorem is stated as R/(I1 ... Ik) ≅ R/I1 × ... × R/Ik. This version does not hold in the non-commutative case, since I1 ∩ ... ∩ IkI1 ... Ik, as can be seen from the following case:

Proposition. Let R be the ring of non-commutative real polynomials in x and y. Let I be the principal two-sided ideal generated by x and J the principal two-sided ideal generated by xy + 1. Then I + J = R but IJIJ.

Proof. Observe that I is formed by all polynomials with an x in every term and that every polynomial in J vanishes under the substitution y = − 1/x. Then clearly p = (xy + 1)xIJ. Define a "term in R", as an element of the multiplicative monoid of R generated by x and y, and its degree as the usual degree of the term after the substitution y = x. On the other hand, suppose qJ. Observe that a term in q of maximum degree depends on y otherwise q under the substitution y = − 1/x can not vanish. The same happens then for an element qIJ. Note that the last y, from left to right, in a term of maximum degree in an element of IJ is preceded by more than one x. (We are counting here all the preceding xs. E.g., in x2yxyx5 the last y is preceded by three xs.) This proves that p = (xy + 1)xIJ since the last y in the term of maximum degree in p (xyx) is preceded by only one x. Hence IJIJ.

However, it is true in general that I + J = R implies IJ = IJ + JI. To see this, note that IJ = (IJ)(I + J) ⊂ IJ + JI, while the opposite inclusion is obvious. Also, we have in general that, provided I1, ..., Im are pairwise coprime two-sided ideals in R, the natural map

R / (I_1 \cap \cdots \cap I_m) \to R/I_1 \oplus \cdots \oplus R/I_m

is an isomorphism. Note that I1 ∩ ... ∩ Im can be replaced by a sum over all orderings of I1, ..., Im of their product (or just a sum over enough orderings, using inductively that IJ = IJ + JI for coprime ideals I, JR).

See also

References

  • Donald Knuth. The Art of Computer Programming, Volume 2: Seminumerical Algorithms, Third Edition. Addison-Wesley, 1997. ISBN 0-201-89684-2. Section 4.3.2 (pp. 286–291), exercise 4.6.2–3 (page 456).
  • Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. Introduction to Algorithms, Second Edition. MIT Press and McGraw-Hill, 2001. ISBN 0-262-03293-7. Section 31.5: The Chinese remainder theorem, pp. 873–876.
  • Laurence E. Sigler (trans.) (2002). Fibonacci's Liber Abaci. Springer-Verlag. pp. 402–403.  
  • Kak, Subhash (1986), "Computational aspects of the Aryabhata algorithm", Indian Journal of History of Science 21 (1): 62–71 .
  •  
  • Cunsheng Ding, Dingyi Pei, and Arto Salomaa (1996). Chinese Remainder Theorem: Applications in Computing, Coding, Cryptography. World Scientific Publishing. pp. 1–213.  
  • Duchet, Pierre (1995). "Hypergraphs". In Graham, R. L.; Grötschel, M.; Lovász, L. Handbook of combinatorics, Vol. 1, 2. Amsterdam: Elsevier. pp. 381–432.  . See in particular Section 2.5, "Helly Property", pp. 393–394.

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