Linearised polynomial: Difference between revisions

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We write a typical example as
:<math display="block">L(x) = \sum_{i=0}^n a_i x^{q^i},</math>
 
:<math>L(x) = \sum_{i=0}^n a_i x^{q^i},</math>
 
where each <math>a_i</math> is in <math>F_{q^m} (= \operatorname{GF}(q^m))</math> for some fixed positive [[integer]] <math>m</math>.
 
This special class of polynomials is important from both a theoretical and an applications viewpoint.<ref>{{harvnb|Lidl|Niederreiter|19831997|loc=pg.107 (first edition)}}</ref> The highly structured nature of their [[root of a function|roots]] makes these roots easy to determine.
 
==Properties==
* The map {{math|''x'' ↦ ''L''(''x'')}} is a [[linear map]] over any [[field (mathematics)|field]] containing '''F'''<sub>''q''</sub>.
* The [[set (mathematics)|set]] of roots of ''L'' is an '''F'''<sub>''q''</sub>-[[vector space]] and is closed under the ''q''-[[Frobenius map]].
* Conversely, if ''U'' is any '''F'''<sub>''q''</sub>-[[linear subspace]] of some finite field containing '''F'''<sub>''q''</sub>, then the polynomial that vanishes exactly on ''U'' is a linearised polynomial.
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==Symbolic multiplication==
 
In general, the product of two linearised polynomials will not be a linearized polynomial, but since the composition of two linearised polynomials results in a linearised polynomial, composition may be used as a replacement for multiplication and, for this reason, composition is often called '''symbolic multiplication''' in this setting. Notationally, if ''L''<sub>1</sub>(''x'') and ''L''<sub>2</sub>(''x'') are linearised polynomials we define <math display="block">L_1(x) \otimes L_2(x) = L_1(L_2(x))</math> when this point of view is being taken.
when this point of view is being taken.
 
==Associated polynomials==
The polynomials {{math|''L''(''x'')}} and <math display="block">l(x) = \sum_{i=0}^n a_i x^i </math> are ''q-associates'' (note: the exponents "''q''<sup>''i''</sup>" of ''L''(''x'') have been replaced by "''i''" in ''l''(''x'')). More specifically, ''l''(''x'') is called the ''conventional q-associate'' of ''L''(''x''), and ''L''(''x'') is the ''linearised q-associate'' of ''l''(''x'').
The polynomials ''L''(''x'') and
 
:<math>l(x) = \sum_{i=0}^n a_i x^i \ </math>
 
are ''q-associates'' (note: the exponents "''q''<sup>''i''</sup>" of ''L''(''x'') have been replaced by "''i''" in ''l''(''x'')). More specifically, ''l''(''x'') is called the ''conventional q-associate'' of ''L''(''x''), and ''L''(''x'') is the ''linearised q-associate'' of ''l''(''x'').
 
==''q''-polynomials over '''F'''<sub>''q''</sub>==
Linearised polynomials with coefficients in '''F'''<sub>''q''</sub> have additional properties which make it possible to define symbolic division, symbolic reducibility and symbolic factorization. Two important examples of this type of linearised polynomial are the Frobenius automorphism <math>x \mapsto x^q</math> and the trace function <math display="inline">\operatorname{Tr}(x) = \sum_{i=0}^{n-1} x^{q^i}.</math>
 
In this special case it can be shown that, as an [[Operation (mathematics)|operation]], symbolic multiplication is [[Commutative property|commutative]], [[associative]] and [[Distributive property|distributes]] over ordinary addition.<ref>{{harvnb|Lidl|Niederreiter|19831997|loc=pg. 115 (first edition)}}</ref> Also, in this special case, we can define the operation of '''symbolic division'''. If ''L''(''x'') and ''L''<sub>1</sub>(''x'') are linearised polynomials over '''F'''<sub>''q''</sub>, we say that ''L''<sub>1</sub>(''x'') ''symbolically divides'' ''L''(''x'') if there exists a linearised polynomial ''L''<sub>2</sub>(''x'') over '''F'''<sub>''q''</sub> for which: <math display="block">L(x) = L_1(x) \otimes L_2(x).</math>
:<math>L(x) = L_1(x) \otimes L_2(x).</math>
 
If ''L''<sub>1</sub>(''x'') and ''L''<sub>2</sub>(''x'') are linearised polynomials over '''F'''<sub>''q''</sub> with conventional ''q''-associates ''l''<sub>1</sub>(''x'') and ''l''<sub>2</sub>(''x'') respectively, then ''L''<sub>1</sub>(''x'') symbolically divides ''L''<sub>2</sub>(''x'') [[if and only if]] ''l''<sub>1</sub>(''x'') divides ''l''<sub>2</sub>(''x'').<ref>{{harvnb|Lidl|Niederreiter|19831997|loc=pg. 115 (first edition) Corollary 3.60}}</ref> Furthermore,
''L''<sub>1</sub>(''x'') divides ''L''<sub>2</sub>(''x'') in the ordinary sense in this case.<ref>{{harvnb|Lidl|NeiderreiterNiederreiter|19831997|loc=pg. 116 (first edition) Theorem 3.62}}</ref>
 
A linearised polynomial ''L''(''x'') over '''F'''<sub>''q''</sub> of [[degree of a polynomial|degree]] > 1 is ''symbolically irreducible'' over '''F'''<sub>''q''</sub> if the only symbolic decompositions
::<math display="block">L(x) = L_1(x) \otimes L_2(x),</math>
with ''L''<sub>''i''</sub> over '''F'''<sub>''q''</sub> are those for which one of the factors has degree 1. Note that a symbolically irreducible polynomial is always [[reducible polynomial|reducible]] in the ordinary sense since any linearised polynomial of degree > 1 has the nontrivial factor ''x''. A linearised polynomial ''L''(''x'') over '''F'''<sub>''q''</sub> is symbolically irreducible if and only if its conventional ''q''-associate ''l''(''x'') is irreducible over '''F'''<sub>''q''</sub>.
 
Every ''q''-polynomial ''L''(''x'') over '''F'''<sub>''q''</sub> of degree > 1 has a ''symbolic factorization'' into symbolically irreducible polynomials over '''F'''<sub>''q''</sub> and this factorization is essentially unique (up to rearranging factors and multiplying by nonzero elements of '''F'''<sub>''q''</sub>.)
 
For example,<ref>{{harvnb|Lidl|NeiderreiterNiederreiter|19831997|loc=pg. 117 (first edition) Example 3.64}}</ref> consider the 2-polynomial ''L''(''x'') = ''x''<sup>16</sup> + ''x''<sup>8</sup> + ''x''<sup>2</sup> + ''x'' over '''F'''<sub>2</sub> and its conventional 2-associate ''l''(''x'') = ''x''<sup>4</sup> + ''x''<sup>3</sup> + ''x'' + 1. The factorization into irreducibles of ''l''(''x'') = (''x''<sup>2</sup> + ''x'' + 1)(''x'' + 1)<sup>2</sup> in '''F'''<sub>2</sub>[''x''], gives the symbolic factorization
::<math display="block">L(x) = (x^4 + x^2 + x) \otimes (x^2 + x) \otimes (x^2 + x).</math>
 
==Affine polynomials==