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In [[modular arithmetic]], the question of when a linear [[modular arithmetic|congruence]] can be solved is answered by the '''linear  congruence theorem'''. If ''a'' and ''b'' are any [[integer]]s  and ''n'' is a positive integer, then the congruence
:<math>ax \equiv b \pmod {n}</math>
has a solution for ''x'' if and only if ''b'' is divisible by the  [[greatest common divisor]] ''d'' of ''a'' and ''n'' (denoted by gcd(''a'',''n'')). When this is the case, and ''x''<sub>0</sub> is one solution of (1), then the set of all solutions is given by
 
:<math>\{x_0+k\frac{n}{d}\mid k\in\Bbb{Z}\}.</math>
 
In particular, there will be exactly ''d'' = gcd(''a'',''n'') solutions in the set of residues {0,1,2,...,''n''&nbsp;&minus;&nbsp;1}.  The result is a simple consequence of [[Bézout's identity]].
 
==Example==
For example, examining the equation a''x'' ≡ 2 ('''mod''' 6)  with different values of ''a'' yields
:<math>3x \equiv 2 \pmod 6\ </math>
Here d = gcd(3,6) = 3 but since 3 does not divide 2, there is no  solution.  
:<math>5x \equiv 2 \pmod 6\ </math>
Here ''d'' = gcd(5,6) = 1, which divides any ''b'', and so there is just one solution in {0,1,2,3,4,5}: ''x''&nbsp;=&nbsp;4.
:<math>4x \equiv 2 \pmod {6}\ </math>
Here ''d'' = gcd(4,6) = 2, which does divide 2, and so there are exactly two solutions in {0,1,2,3,4,5}: ''x''&nbsp;=&nbsp;2 and ''x''&nbsp;=&nbsp;5.
 
==Solving a linear congruence==
In general solving equations of the form:
:<math>ax \equiv b \pmod {n}</math>
If the greatest common divisor ''d'' = gcd(''a'', ''n'') divides ''b'', then we can find a solution ''x'' to the congruence as follows:  the [[extended Euclidean algorithm]] yields integers ''r'' and ''s'' such ''ra'' + ''sn'' = ''d''. Then ''x'' = ''rb''/''d'' is a solution. The other solutions are the numbers congruent to ''x'' modulo ''n''/''d''.
 
For example, the congruence
:<math>12x \equiv 20 \pmod {28}\ </math>
has 4 solutions since gcd(12, 28) = 4 divides 20. The extended  Euclidean algorithm gives (&minus;2)&middot;12 + 1&middot;28 = 4, i.e. ''r'' = &minus;2 and  ''s'' = 1. Therefore, one solution is ''x'' = &minus;2&middot;20/4 = &minus;10, and &minus;10 = 4 modulo 7. All other solutions will also be congruent to 4 modulo 7. Since the original equation uses modulo 28, the entire solution set in the range from 0 to 27 is {4, 11, 18, 25}.
 
==System of linear congruences==
By repeatedly using the linear congruence theorem, one can also solve systems of linear congruences, as in the following example: find all numbers ''x'' such that
:<math>2x \equiv 2 \pmod {6}</math>
:<math>3x \equiv 2 \pmod {7}</math>
:<math>2x \equiv 4 \pmod {8}</math>
By solving the first congruence using the method explained above, we find <math>x \equiv 1 \pmod{3}</math>, which can also be written as <math>x = 3k + 1</math>. Substituting this into the second congruence and simplifying, we get
:<math>9k \equiv - 1 \pmod{7}</math>.
Solving this congruence yields <math>k \equiv 3 \pmod{7}</math>, or <math>k = 7l + 3</math>. It then follows that <math>x = 3 (7l + 3) + 1 = 21l + 10</math>. Substituting this into the third congruence and simplifying, we get
:<math>42l \equiv - 16 \pmod{8}</math>
which has the solution <math>l \equiv 0 \pmod{4}</math>, or <math>l = 4m</math>. This yields <math>x = 21(4m) + 10 = 84m + 10</math>, or
:<math>\equiv 10 \pmod{84}</math>
which describes all solutions to the system.
 
==See also==
*[[Chinese remainder theorem]]
 
{{DEFAULTSORT:Linear Congruence Theorem}}
[[Category:Modular arithmetic]]
[[Category:Theorems in number theory]]

Revision as of 16:06, 4 March 2014

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