The functions described in this file were written to alleviate the
deficiency of **GAP3** in manipulating multi-variate polynomials. In **GAP3** one
can only define one-variable polynomials over a given ring; this allows
multi-variate polynomials by taking this ring to be a polynomial ring; but,
in addition to providing little flexibility in the choice of coefficients,
this "full" representation makes for somewhat inefficient computation.
The use of the `Mvp`

(MultiVariate Polynomials) described here is faster
than **GAP3** polynomials as soon as there are two variables or more. What is
implemented here is actually "Puiseux polynomials", i.e. linear
combinations of monomials of the type *x _{1}^{a1}... x_{n}^{an}* where

`RatFrac`

) have been added, thanks to work of Gwenaëlle Genet (the main difficulty there was to write an algorithm for the
Gcd of multivariate polynomials, a non-trivial task). The coefficients of
our polynomials can in principle be elements of any ring, but some
algorithms like division or Gcd require the coefficients of their arguments
to be invertible.

- Mvp
- Operations for Mvp
- IsMvp
- ScalMvp
- Variables for Mvp
- LaurentDenominator
- OnPolynomials
- FactorizeQuadraticForm
- MvpGcd
- MvpLcm
- RatFrac
- Operations for RatFrac
- IsRatFrac

`Mvp( `

`string s` [, `coeffs v`] )

Defines an indeterminate with name `s` suitable to build multivariate
polynomials.

gap> x:=Mvp("x");y:=Mvp("y");(x+y)^3; x y 3xy^2+3x^2y+x^3+y^3

If a second argument (a vector of coefficients `v`) is given, returns
`Sum([1..Length(v)],i->Mvp(s)^(i-1)*v[i])`

.

gap> Mvp("a",[1,2,0,4]); 1+2a+4a^3

`Mvp( `

`polynomial x`)

Converts the **GAP3** polynomial `x` to an `Mvp`

. It is an error if
`x.baseRing.indeterminate.name`

is not bound; otherwise this is taken as
the name of the `Mvp`

variable.

gap> q:=Indeterminate(Rationals); X(Rationals) gap> Mvp(q^2+q); Error, X(Rationals) should have .name bound in Mvp( q ^ 2 + q ) called from main loop brk> gap> q.name:="q";; gap> Mvp(q^2+q); q+q^2

`Mvp( `

`FracRat x`)

Returns `false`

if the argument rational fraction is not in fact a Laurent
polynomial. Otherwise returns that polynomial.

gap> Mvp(x/y); xy^-1 gap> Mvp(x/(y+1)); false

`Mvp( `

`elm`, `coeff`)

Build efficiently an `Mvp`

from the given list of coefficients and the list
`elm` describing the corresponding monomials. A monomial is itself
described by a record with a field `.elm`

containing the list of involved
variable names and a field `.coeff`

containing the list of corresponding
exponents.

gap> Mvp([rec(elm:=["y","x"],coeff:=[1,-1])],[1]); x^-1y

`Mvp( `

`scalar x`)

A scalar is anything which is not one of the previous types (like
a cyclotomic, or a finite-field-element, etc). Returns the constant
multivariate polynomial whose constant term is `x`.

gap> Degree(Mvp(1)); 0

The arithmetic operations `+`

, `-`

, `*`

, `/`

and `^`

work for `Mvp`

s.
They also have `Print`

and `String`

methods. The operations `+`

, `-`

,
`*`

work for any inputs. `/`

works only for Laurent polynomials, and
may return a rational fraction (see below); if one is sure that the
division is exact, one should call `MvpOps.ExactDiv`

(see below).

gap> x:=Mvp("x");y:=Mvp("y"); x y gap> a:=x^(-1/2); x^(-1/2) gap> (a+y)^4; x^-2+4x^(-3/2)y+6x^-1y^2+4x^(-1/2)y^3+y^4 gap> (x^2-y^2)/(x-y); x+y gap> (x-y^2)/(x-y); (x-y^2)/(x-y) gap> (x-y^2)/(x^(1/2)-y); Error, x^(1/2)-y is not a polynomial with respect to x in V.operations.Coefficients( V, v ) called from Coefficients( q, var ) called from MvpOps.ExactDiv( x, q ) called from fun( arg[1][i] ) called from List( p, function ( x ) ... end ) called from ... brk>

Only monomials can be raised to a non-integral power; they can be raised
to a fractional power of denominator `b`

only if `GetRoot(x,b)`

is
defined where `x`

is their leading coefficient. For an `Mvp`

`m`,
the function `GetRoot(m,n)`

is equivalent to `m^(1/n)`

. Raising a
non-monomial Laurent polynomial to a negative power returns a rational
fraction.

gap> (2*x)^(1/2); ER(2)x^(1/2) gap> (evalf(2)*x)^(1/2); 1.4142135624x^(1/2) gap> GetRoot(evalf(2)*x,2); 1.4142135624x^(1/2)

The `Degree`

of a monomial is the sum of the exponent of the variables.
The `Degree`

of an `Mvp`

is the largest degree of a monomial.

gap> a; x^(-1/2) gap> Degree(a); -1/2 gap> Degree(a+x); 1 gap> Degree(Mvp(0)); -1

There exists also a form of `Degree`

taking as second argument a variable
name, which returns the degree of the polynomial in that variable.

gap> p:=x/y; xy^-1 gap> Degree(p,"x"); 1 gap> Degree(p,"y"); -1 gap> Degree(p); 0

The `Valuation`

of an `Mvp`

is the minimal degree of a monomial.

gap> a; x^(-1/2) gap> Valuation(a); -1/2 gap> Valuation(a+x); -1/2 gap> Valuation(Mvp(0)); -1

There exists also a form of `Valuation`

taking as second argument a
variable name, which returns the valuation of the polynomial in that
variable.

gap> Valuation(x^2+y^2); 2 gap> Valuation(x^2+y^2,"x"); 0 gap> Valuation(x^2+y^2,"y"); 0

The `Format`

routine formats `Mvp`

s in such a way that they can be read
back in by **GAP3** or by some other systems, by giving an appropriate option
as a second argument, or using the functions `FormatGAP`

, `FormatMaple`

or
`FormatTeX`

. The `String`

method is equivalent to `Format`

, and gives a
compact display.

gap> p:=7*x^5*y^-1-2; -2+7x^5y^-1 gap> Format(p); "-2+7x^5y^-1" gap> FormatGAP(p); "-2+7*x^5*y^-1" gap> FormatMaple(p); "-2+7*x^5*y^(-1)" gap> FormatTeX(p); "-2+7x^5y^{-1}"

The `Value`

method evaluates an `Mvp`

by fixing simultaneously the value
of several variables. The syntax is `Value(x, [ `

.
`string1`, `value1`,
`string2`, `value2`, *...* ])

gap> p; -2+7x^5y^-1 gap> Value(p,["x",2]); -2+224y^-1 gap> Value(p,["y",3]); -2+7/3x^5 gap> Value(p,["x",2,"y",3]); 218/3

One should pay attention to the fact that the last value is not a
rational number, but a constant `Mvp`

(for consistency). See the
function `ScalMvp`

below for how to convert such constants to their base
ring.

gap> Value(p,["x",y]); -2+7y^4 gap> Value(p,["x",y,"y",x]); -2+7x^-1y^5

Evaluating an `Mvp`

which is a Puiseux polynomial may cause calls to
`GetRoot`

gap> p:=x^(1/2)*y^(1/3); x^(1/2)y^(1/3) gap> Value(p,["x",y]); y^(5/6) gap> Value(p,["x",2]); ER(2)y^(1/3) gap> Value(p,["y",2]); Error, : unable to compute 3-th root of 2 in GetRoot( values[i], d[i] ) called from f.operations.Value( f, x ) called from Value( p, [ "y", 2 ] ) called from main loop brk>

The function `Derivative(p,v)`

returns the derivative of `p`

with respect
to the variable given by the string `v`

; if `v`

is not given, with respect
to the first variable in alphabetical order.

gap> p:=7*x^5*y^-1-2; -2+7x^5y^-1 gap> Derivative(p,"x"); 35x^4y^-1 gap> Derivative(p,"y"); -7x^5y^-2 gap> Derivative(p); 35x^4y^-1 gap> p:=x^(1/2)*y^(1/3); x^(1/2)y^(1/3) gap> Derivative(p,"x"); 1/2x^(-1/2)y^(1/3) gap> Derivative(p,"y"); 1/3x^(1/2)y^(-2/3) gap> Derivative(p,"z"); 0

The function `Coefficients(`

is defined only for `p`, `var`)`Mvp`

s which
are polynomials in the variable `var` . It returns as a list the list of
coefficients of `p` with respect to `var`.

gap> p:=x+y^-1; y^-1+x gap> Coefficients(p,"x"); [ y^-1, 1 ] gap> Coefficients(p,"y"); Error, y^-1+x is not a polynomial with respect to y in V.operations.Coefficients( V, v ) called from Coefficients( p, "y" ) called from main loop brk>

The same caveat is applicable to `Coefficients`

as to `Value`

: the
result is always a list of `Mvp`

s. To get a list of scalars for
univariate polynomials represented as `Mvp`

s, one should use `ScalMvp`

.

Finally we mention the functions `ComplexConjugate`

and `evalf`

which
are defined using for coefficients the `Complex`

and `Decimal`

numbers
of the **CHEVIE** package.

gap> p:=E(3)*x+E(5); E5+E3x gap> evalf(p); 0.3090169944+0.9510565163I+(-0.5+0.8660254038I)x gap> p:=E(3)*x+E(5); E5+E3x gap> ComplexConjugate(p); E5^4+E3^2x gap> evalf(p); 0.3090169944+0.9510565163I+(-0.5+0.8660254038I)x gap> ComplexConjugate(last); 0.3090169944-0.9510565163I+(-0.5-0.8660254038I)x

`IsMvp( `

`p` )

Returns `true`

if `p` is an `Mvp`

and false otherwise.

gap> IsMvp(1+Mvp("x")); true gap> IsMvp(1); false

`ScalMvp( `

`p` )

If `p` is an `Mvp`

then if `p` is a scalar, return that scalar,
otherwise return `false`

. Or if `p` is a list, then apply `ScalMvp`

recursively to it (but return false if it contains any `Mvp`

which is
not a scalar). Else assume `p` is already a scalar and thus return `p`.

gap> v:=[Mvp("x"),Mvp("y")]; [ x, y ] gap> ScalMvp(v); false gap> w:=List(v,p->Value(p,["x",2,"y",3])); [ 2, 3 ] gap> Gcd(w); Error, sorry, the elements of <arg> lie in no common ring domain in Domain( arg[1] ) called from DefaultRing( ns ) called from Gcd( w ) called from main loop brk> gap> Gcd(ScalMvp(w)); 1

`Variables for Mvp( `

`p` )

Returns the list of variables of the `Mvp`

`p` as a sorted list of strings.

gap> Variables(x+x^4+y); [ "x", "y" ]

`LaurentDenominator( `

`p1`, `p2`, ... )

Returns the unique monomial `m`

of minimal degree such that for all the
Laurent polynomial arguments `p1`, `p2`, etc... the product *m* p _{i}* is
a true polynomial.

gap> LaurentDenominator(x^-1,y^-2+x^4); xy^2

`OnPolynomials( `

`m`, `p` [,`vars`] )

Implements the action of a matrix on `Mvp`

s. `vars` should be a list of
strings representing variables. If *v*`=List(vars,Mvp)`

, the polynomial *p*
is changed by replacing in it *v _{i}* by

`Variables(p)`

.

gap> OnPolynomials([[1,2],[3,1]],x+y); 3x+4y

`FactorizeQuadraticForm( `

`p`)

`p` should be an `Mvp`

of degree 2 which represents a quadratic form. The
function returns a list of two linear forms of which `p` is the product if
such forms exist, otherwise it returns `false`

(it returns [Mvp(1),`p`] if
`p` is of degree 1).

gap> FactorizeQuadraticForm(x^2-y^2+x+3*y-2); [ -1+x+y, 2+x-y ] gap> FactorizeQuadraticForm(x^2+x+1); [ -E3+x, -E3^2+x ] gap> FactorizeQuadraticForm(x*y+1); false

`MvpGcd( `

`p1`, `p2`, ...)

Returns the Gcd of the `Mvp`

arguments. The arguments must be true
polynomials.

gap> MvpGcd(x^2-y^2,(x+y)^2); x+y

`MvpLcm( `

`p1`, `p2`, ...)

Returns the Lcm of the `Mvp`

arguments. The arguments must be true
polynomials.

gap> MvpLcm(x^2-y^2,(x+y)^2); xy^2-x^2y-x^3+y^3

`RatFrac( `

`num` [,`den`] )

Build the rational fraction (`RatFrac`

) with numerator `num` and denominator
`den` (when `den` is omitted it is taken to be 1).

gap> RatFrac(x,y); x/y gap> RatFrac(x*y^-1); x/y

The arithmetic operations `+`

, `-`

, `*`

, `/`

and `^`

work for `RatFrac`

s.
They also have `Print`

and `String`

methods.

gap> 1/(x+1)+y^-1; (1+x+y)/(y+xy) gap> 1/(x+1)*y^-1; 1/(y+xy) gap> 1/(x+1)/y; 1/(y+xy) gap> 1/(x+1)^-2; 1+2x+x^2

- Similarly to
`Mvp`

s,`RatFrac`

s hav`Format`

and`Value`

methods:

gap> Format(1/(x*y+1)); "1/(1+xy)" gap> FormatGAP(1/(x*y+1)); "1/(1+x*y)" gap> Value(1/(x*y+1),["x",2]); 1/(1+2y)

`IsRatFrac( `

`p` )

Returns `true`

if `p` is an `Mvp`

and false otherwise.

gap> IsRatFrac(1+RatFrac(x)); true gap> IsRatFrac(x); false

gap3-jm

18 Jun 2018