Article
KYUNGPOOK Math. J. 2019; 59(4): 617-629
Published online December 23, 2019
Copyright © Kyungpook Mathematical Journal.
The Monoid of Linear Hypersubstitutions
Thawhat Changphas∗, Bundit Pibaljommee and Klaus Denecke
Department of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
e-mail : thacha@kku.ac.th, banpib@kku.ac.th and klausdenecke@hotmail.com
Received: August 22, 2018; Revised: December 18, 2018; Accepted: December 19, 2018
Abstract
A term is called linear if each variable which occurs in the term, occurs only once. A hypersubstitution is said to be linear if it maps any operation symbol to a linear term of the same arity. Linear hypersubstitutions have some importance in Theoretical Computer Science since they preserve recognizability [
Keywords: linear term, linear hypersubstitution, linear hyperidentity.
1. Introduction
The concept of a term is one of the fundamental concepts of algebra. To define terms one needs variables and operation symbols. Let (
Let
(i) Every variable
(ii) If
(iii) The set
The set of all terms of type
On the set
A term in which each variable occurs at most once, is said to be linear. For a formal definition of
Definition 1.1
An
(i)
(ii) If
(iii) The set
The set of all linear terms of type
The set
then
Let
if
(Here
The set
obtained by replacing the variables
Pairs of linear terms are said to be linear equations and if a linear equation is satisfied in an algebra or in a variety of algebras we speak of a linear identity. Linear identities are studied in many papers, see e.g. [1, 3, 9]. Let
be the set of all linear equations of type
Theorem 1.2
Clearly,
Since linearity of the terms on the left-hand side and the right-hand side of a linear identity can get lost under substitution,
We consider the following example. Let
Substituting in
We recall that
Definition 1.3
A variety
Let
For example,
For the basic concepts on Universal Algebra see [5] and for partial algebras see [2].
2. Linear Hypersubstitutions and Linear Hyperidentities
A mapping
(i)
(ii)
Then a product
(This equivalence is called the ‘conjugate property’). For more information on hyperidentities and hypersubstitutions see e.g. [5, 6, 8].
Now we consider hypersubstitutions mapping the operation symbols to linear terms.
Definition 2.1
A linear hypersubstitution of type
Let
Example 2.2
Let
∘ | ||||
Here
In the general case it is not clear whether or not the extension
Lemma 2.3
We give a proof by induction on the complexity of
Assume that
by properties of the superposition of terms.
Then we obtain:
Lemma 2.4
The previous lemma gives
Lemma 2.5
Let
One more consequence is
Theorem 2.6
(
If
Now we will give two more examples of linear hypersubstitions.
Example 2.7
Let
Example 2.8
Let
The second example shows that there are linear hypersubstitutions which map
As for an arbitrary mapping also for the extension of a hypersubstitution one may consider the kernel of this mapping (see e.g. [8]). In particular, by Lemma 2.4, this can be done for a linear hypersubstitution
Definition 2.9
Let
is said to be the
For
Proposition 2.10
Assume that
and by Lemma 2.3,
Both sides of this equation are linear terms and by the definition of the extension and we obtain
By (
and then
We remark that Theorem 2.6 has important consequences. Let ℳ be an arbitrary submonoid of ℋ
Definition 2.11
Let be an algebra and let
We define an operator
This extends, additively, to sets of identities, so that for any set ∑ of linear identities we set
Using derived algebras we define now an operator
The identity hypersubstitution is linear. Using this, one shows that both operators are extensive, i.e.
Altogether, as for arbitrary monoids of hypersubstitutions, also for linear hypersubstitutions, we have:
Proposition 2.12
The sets of all fixed points {
The relation ⊨ of satisfaction of an equation as linear identity of an algebra defines the Galois connections (
The relation of linear hypersatisfaction induces a new Galois connection (
Sets of equations of the form
Theorem 2.13
(i)
(ii)
(iii)
(iv)
(i’) ∑
(ii’)
(iii’)
(iv’)
From the general theory of conjugate pairs of additive closure operators for
(i)
(ii)
The second proposition can be used if a variety
For any subset of equations and for any monoid ℳ of hypersubstitutions we defined a variety
Definition 2.14
A variety
Not every identity in a linear-solid variety
Example 2.15
Let
3. The Monoid of Linear Hypersubstitutions of Type τ n ∣ I ∣
In this section we consider monoids of linear hypersubstitutions when
To determine all linear hypersubstitutions of this type, we describe the form of
(i)
(ii)
Proposition 3.1
If
This observation allows us to describe the form of all
Then it is also clear that there are precisely
Since every linear hypersubstitution maps the operation symbol
For the product of two linear hypersubstitutions
1.
2.
3.
4. Interpretation of Linear Hypersubstitutions on Single Algebras
Term operations induced by linear terms are defined in the usual way. Let
(i)
(ii) if
Here the right-hand side is the superposition of
Let be an algebra of type
Let
Let
if
The algebra ( ; *,
Now we ask for the algebraic structure of
Theorem 4.1.([4])
Couceiro and Lehtonen proved in [4] also that the subalgebra
Theorem 4.2
1. Φ is well-defined: assume that
This means .
2. Now we show the compatibility of Φ with the operations
On the other hand we have
This shows . In the same way we obtain .
3. and
4. For the binary operation * we get
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