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In [[mathematics]], a '''linearised polynomial''' (or ''q''-
▲In mathematics, a '''linearised polynomial''' (or ''q''- polynomial) is a [[polynomial]] for which the exponents of all the consituent [[monomial]]s are powers of ''q'' and the coefficients come from some extension field of the [[finite field]] of order ''q''.
We write a typical example as
This special class of polynomials is important from both a theoretical and an applications viewpoint.<ref>{{harvnb|Lidl|Niederreiter|
▲:<math>L(x) = \sum_{i=0}^n a_i x^{q^i}, \text{ where each } a_i \text{ is in } F_{q^m} (\text { = } GF(q^m)) \text{ for some fixed positive integer }m. </math>
▲This special class of polynomials is important from both a theoretical and an applications viewpoint.<ref>{{harvnb|Lidl|Niederreiter|1983|loc=pg.107 in 1st edition}}</ref> The highly structured nature of their roots makes these roots easy to determine.
==Properties==
* The map {{math|''x''
* 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.
* The set of linearised polynomials over a given field is closed under addition and
* If ''L'' is a nonzero linearised polynomial over <math>F_{q^n}</math> with all of its roots lying in the field <math>F_{q^s}</math> an extension field of <math>F_{q^n}</math>, then each root of ''L'' has the same multiplicity, which is either 1, or a positive power of ''q''.<ref>{{harvnb|Mullen|Panario|2013|loc=p. 23 (2.1.106)}}</ref>
==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.
==Associated polynomials==
The polynomials {{math|''L''(''x'')}} and <math display="block">l(x) = \sum_{i=0}^n a_i x^i </math> are ''q
==''q''-polynomials over '''F'''<sub>''q''</sub>==
▲:<math> l(x) = \sum_{i=0}^n a_i x^i \ </math>
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|1997|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>
▲are ''q - associates''. More specifically, ''l(x}'' is called the ''conventional q-associate'' of ''L(x)'', and ''L(x)'' is the ''linearised q-associate'' of ''l(x)''.
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|1997|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|Niederreiter|1997|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|Niederreiter|1997|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==
Let ''L'' be a linearised polynomial over <math>F_{q^n}</math>. A polynomial of the form <math>A(x) = L(x) - \alpha \text{ for } \alpha \in F_{q^n},</math> is an ''affine polynomial'' over <math>F_{q^n}</math>.
Theorem: If ''A'' is a nonzero affine polynomial over <math>F_{q^n}</math> with all of its roots lying in the field <math>F_{q^s}</math> an extension field of <math>F_{q^n}</math>, then each root of ''A'' has the same multiplicity, which is either 1, or a positive power of ''q''.<ref>{{harvnb|Mullen|Panario|2013|loc=p. 23 (2.1.109)}}</ref>
==Notes==
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==References==
* {{cite book | zbl=0866.11069 | last1=Lidl | first1=Rudolf | last2=Niederreiter | first2=Harald | author2-link=Harald Niederreiter | title=Finite fields | edition=2nd | series=Encyclopedia of Mathematics and Its Applications | volume=20 | publisher=[[Cambridge University Press]] | year=1997 | isbn=0-521-39231-4 | url-access=registration | url=https://archive.org/details/finitefields0000lidl_a8r3 }}
* {{citation|first1=Gary L.|last1=Mullen|first2=Daniel|last2=Panario|title=Handbook of Finite Fields|year=2013|publisher=CRC Press|place=Boca Raton|series=Discrete Mathematics and its Applications|isbn=978-1-4398-7378-6}}
[[Category:Polynomials]]
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