In this section, permutation polynomials are classified according to their algebraic forms. It should be noted that this classification is not strictly exclusive; for instance, is both a linearized polynomial and a polynomial of the form . The classification thus reflects the different methods historically used to study permutation polynomials, rather than a purely set-theoretic categorisation. For each class, we first present a review of the research history concerning its compositional inverse, and then compute its compositional inverse via the local method.
3.3. Inverses of Linearized PPs
Linearized polynomials are always taken as
We denote by
the set of all linearied polynomials in the form (
5). Equipped with the composition of polynomials in
,
forms non-commutative
-algebra. Wu and Liu [
24] characterize the algebra
, that is
where
is the dual space of
over
,
is the so-called composition algebra on
, and
is an algebra formed by all
matrices over
of the form
which are called Dickson matrices. It is clear that the set of all non-singular Dickson matrices form a group.
Based on the result from (
6), the following identity holds:
Hence, Wu and Liu [
24] were able to derive the compositional inverse of a linearized permutation polynomial over
Unlike their approach, which relies on various properties of linearized polynomials as theoretical groundwork, we adopt the Local method [
17] to directly obtain the compositional inverse without the aforementioned preparation. For the convenience of the reader, a detailed proof using the Local method is provided below.
Theorem 22.
[24] [Theorem 4.5][17] Let be a linearized permutation polynomial and be its associated Dickson matrix. Then
where is the th cofactor of , and the determinant of is
Proof. For
, set
and
. Since the associated Dickson matrix
is non-singular and
multiplying both sides on the left by
yields
Recalling that
, where
is the adjugate matrix of
, we obtain
Taking the first row of this matrix identity gives the scalar equation
where
are the entries from the first row of
. Finally, by Theorem 14, the compositional inverse of
is given by
□
The general theorem above provides a theoretical approach for obtaining the compositional inverse of a linearized permutation polynomial via the determinant and the th cofactor of its associated Dickson matrix. Below, we give three examples of linearized polynomials whose compositional inverses are obtained through their Dickson matrices.
Example 3.3.1. Coulter and Henderson characterized the following linearized permutation binomial in [
25]:
and Wu subsequently determined its compositional inverse in [
26] via the determinant and the
-th cofactor of its associated Dickson matrix.
Inspired by the idea in Section 9 of Wang [
9], which presents a new and simpler proof for the compositional inverse of such a binomial, we reformulate Wang’s proof using the language of the local method.
Theorem 23.
[25] [Theorem 3][26] Let , where , and . Then is a permutation polynomial over if and only if the norm where In this case, its inverse on is
Proof. Let In this case, for , we choose and
Hence, it follows from Theorem 14 that
f is a PP if and only if
, and the compositional inverse of
f is
This completes the proof. □
We summarize in Table the results on permutation polynomials of the form with degree less than 7, obtained based on Theorem 23.
Table 1.
Linearized permutation binomials of the form and their inverses
Table 1.
Linearized permutation binomials of the form and their inverses
| Polynomial
|
Inverse
|
Conditions |
|
|
, a not a square |
|
|
, a not a square |
|
|
|
|
|
|
|
|
,
|
|
|
, a not a fourth power |
|
|
, a not a sixth power |
Example 3.3.2. Wu [
26] studied the linearized polynomial
by using recurrences to compute the determinant of its Dickson matrix and the
-cofactors. Based on this, he gave a criterion for
to be a permutation polynomial over
and an explicit formula for its inverse (see [
26] [Theorem 3.2.29]).
Taking
, the polynomial reduces to
over
. To state the result of Zheng et al. [
22] for this special case, we need the following recurrence sequence:
where
.
Theorem 24 (Corollary 4, [
22]).
Let , where and . Then is a permutation polynomial over if and only if . Moreover, if permutes , its inverse is given by
Example 3.3.3. Using heavy computation of determinants, Wu [
27] obtained the following result.
Theorem 25.
[27] [Theorem 2.2] Let n be an odd positive integer, and let such that Then
is a permutation polynomial over with compositional inverse
where the coefficients for are given by
Tuxanidy and Wang [
28] generalized Theorem 25 to the general
q-case by decomposition method.
Regarding the compositional inverse of linearized polynomials, there is another result as follows.
Bastos [
29] studied the inverses of linearized permutation polynomials over
with coefficients in
, under the condition that
.
The key observation is that, for such a linearized polynomial, its q-associate polynomial is coprime to . Consequently, the conventional associate polynomial of its compositional inverse can be computed via the extended Euclidean algorithm. Let . The primitive idempotents in are easily described using the -algebra isomorphism between and the group algebra of a cyclic group C of order n. By exploiting the decomposition of via these idempotents, Bastos derived explicit formulas for the inverses.
Theorem 26.
[29] [Theorem 26] Let be the set of primitive idempotents of Given a linearized permutation over and its conventional q-associate, then can be written as
in which for Furthermore, the conventional associate of the compositional inverse of is given as
This result theoretically provides a method for constructing the inverse permutation of specific linearized polynomials over . However, as the method relies on a special coefficient structure, it lacks general applicability for computing the inverse of arbitrary linearized permutation polynomials. Therefore, it is only briefly mentioned in this paper without an in-depth discussion.
3.6. Inverses of the Permutation Polynomials of the Form
In this subsection, we summarize the known results on the compositional inverses of permutation polynomials of the form
Depending on whether or , the structure of the compositional inverse exhibits distinct features. We therefore discuss these two cases separately.
3.6.1. Inverses of the Permutation Polynomials of the Form
We now present known results on the compositional inverses of permutation polynomials of the form
over
, where
are additive polynomials,
is arbitrary, and
satisfies certain conditions.
Two main research streams have emerged for this class of polynomials. The first stream focuses on the case where
and
, with various choices of
g (e.g.,
,
, or
) and additive
[
35,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64]. The second stream considers
as the trace function from
to
(or the absolute trace when the base field is a prime field), with
and
[
65,
66,
67], or more generally,
where
is additive [
68].
Akbary et al. [
10] investigated the permutation properties of polynomials of the form (
8) using the AGW criterion and established the following result.
Theorem 38.
[10] [Theorem 5.1] Let be additive polynomials and be a q-polynomial satisfying and . Let be any polynomial such that , and let be any polynomial. Then
permutes if and only if
(i) and
(ii) is a bijection from to
The commutative diagram for the above permutation polynomial is as follows.
In the following content, we summarize the existing results on compositional inverses of permutation polynomials of the form given in Theorem 38. We do not provide new proofs for these known conclusions via the local method, and the main reasons are explained in the final paragraph of this subsection.
We first introduce the earliest relevant research outcome. Tuxanidy and Wang [
69] studied the compositional inverses of the permutation polynomials in Theorem 38 by the decomposition method. This method is inspired by Wu and Liu [
70]. Wu and Liu considered the compositional inverse of a class of bilinearized PPs over
, i.e.,
, where
q is even,
n is odd,
is a bilinear permutation polynomial over
for a linearized polynomial
(we also derive the compositional inverses of such polynomials via the local method in this paper, see Theorem 48 for details). The idea of the decomposition method mainly consists of the following two steps. First, the finite field
is decomposed into the direct sum
by the map
Second, based on this decomposition, the problem of computing the inverse of
can be converted into the problem of computing the inverse of a bivariate function that permutes
This in turn is equivalent to obtaining the inverses of two permutation polynomials over the subspace
and
respectively, thus simplifying the original problem into two more manageable sub-problems.
The key step in extending this useful idea to computing the compositional inverse of permutation polynomials in Theorem 38 is to extend
into arbitrary linearized polynomial
. However, even though
and
hold, they still may not have a "nice enough" expression for
Tuxanidy and Wang [
71] instead use the map
where
is a subspace of
in similarity with
as above. Thus, to calculate the inverse of
in Theorem 38, they had to add the conditions
and
and got the following result.
Theorem 39.
[71] [Theorem 1.2] Using the same notations and assumptions of Theorem 38, assume that is a permutation of , and further assume that and Then φ induces a bijective from to Let , induce the inverses of and , respectively. Then the compositional inverse of over is given by
Furthermore, if φ induces a bijection from to then φ permutes and the compositional inverse of over is given by
For several explicit families of permutation polynomials deduced from Theorem 39 in [
71], we omit the detailed expressions of their compositional inverses and will not enumerate them individually. Instead, we mainly survey relevant results on compositional inverses for permutation polynomials of the form
from existing literature.
Under the conditions
,
and
(where
are positive integers such that
,
and
), Niu et al. [
34] applied the commutative diagram method to determine the compositional inverse of the permutation polynomial of the form
over
, obtaining the following result.
Theorem 40.
[34] [Theorem 3.7] Let q be a prime power, be positive integers with , , and such that permutes where Assume is the compositional inverse of . Then for any , is a permutation polynomial over and the compositional inverse of over is
The commutative diagram for the above permutation polynomial is as follows.
Remark 7. By virtue of the relationship between affine q-polynomials and additive polynomials, Theorem 40 is merely a special case of Theorem 39.
Next, we present the second research result in this line of work. In 2021, Reis and Wang [
72] investigated the compositional inverses of permutation polynomials of the form (
8) under more specific conditions. Specifically, they explored the compositional inverses when
and
is the linearized
q-associate of
with
. Recently, Reis and Wang [
73] refined their results by studying
as the
q-associate of
with
and
with
By using the AGW criterion, the compositional inverse of
was transformed into the compositional inverse of a certain related function over the sub-field, and thus the compositional inverse of
was constructed. They gave the following result.
Theorem 41.
[73] [Theorem 3.2] Let be defined as before and δ be a nonzero root of . Let The polynomial
with and is a PP if and only if the following conditions holds:
(1)
(2) is a PP over where and s are the coefficients of f in
In affirmative case, if is the inverse of over then the inverse PP of over is given by
where and are given as follows:
(i)
if then is the unique polynomial of degree at most such that and F is any polynomial satisfying
(ii)
if then is the unique polynomial of degree at most such that and F is any polynomial satisfying where
The commutative diagram for the above permutation polynomial is as follows.
Remark 8.
Let , , , , and take , which is a nonzero root of . Set , and in Theorem 41. Then we have and , so that
is a permutation polynomial over according to Theorem 41.
which implies that the intersection contains nonzero elements.
This example verifies that the condition in Theorem 39 fails to hold in this case. Consequently, Theorem 41 cannot be regarded as a special case of Theorem 39.
The authors also have established the compositional inverses for several classes of permutation polynomials where, in the setting of Theorem 41,
acts as a trace function and
. This work represents a shift toward a direct computational paradigm using the local method, in contrast to the approach in Theorems 39, 40, and 41, which typically relies on constructing and verifying a candidate polynomial. Specifically: In [
74], the authors explicitly derive the compositional inverses for permutation polynomials of the form
over
.
In [
75], this constructive approach is extended to the more general family of polynomials over
, which is of the form
, where
, and
satisfies the following two key conditions: (i)
for some polynomial
over
; (ii) for any
,
is injective on the fiber
. Rather than relying on verification after construction, these papers shift the focus toward systematic derivation via this local method, offering explicit expressions for the inverses.
An additive analogue of the index of a univariate polynomial over a finite field
was introduced by Reis and Wang [
76]. We can also write an arbitrary polynomial
uniquely according to its additive index. Namely,
where
are
p-linearized polynomials over
splits completely over
and
L is of the maximal degree. In this case, the additive index of
f is
which is the index of the kernel of
L as subgroup of the additive group of
Definition 9.
Let and be an -vector space of dimension Then can be partitioned into where each is of the form with For a p-linearized polynomial and a sequence in we can define an M-affine mapping P of index with the subspace by
We observe that each branch function ia sn affine polynomial and thus we can obtain the inverse of by putting together the inverses of branch functions. The following result provides an implicit way of obtaining the inverse of a PP based on its additive decomposition as
Theorem 42. [76] [Theorem 5.8] Let L be a monic p-linearized polynomial that divides set and Let be any complete set of representatives for the quotient Suppose that is a PP of where M is a p-linearized polynomial. Then is the inverse PP of over where and are given as follows:
(i)
(ii) is the unique p-linearized polynomial of degree at most such that for every
(iii) is the unique polynomial of degree at most such that
In particular, the additive indices of and coincide.
An application of the local criterion and the local method allows us to present the following generalization of Lemma 5, which also unifies Theorems 33 and 34. We omit the detailed proof as it closely follows the arguments in Theorem 33.
Theorem 43.
Let be polynomials, and let be additive polynomials over such that Assume that
is a polynomial over If there exists a polynomial such that then permutes if and only if
Remark 9.
Based on Lemma 7, the condition in Theorem 38 that is a bijection from to implies a key relationship among the maps. Specifically, for all , we have the functional identity
where is the inverse of . Furthermore, by Theorem 11, is a permutation polynomial over if and only if for every , the function is injective on the preimage set , and this injectivity condition is equivalent to
Employing the local method, the authors have fully solved the construction problem of the compositional inverse of permutation polynomials in Theorem 43. This method avoids utilizing the direct-sum decomposition of finite fields, and the corresponding research findings are in preparation for publication.
3.6.2. Inverses of the Permutation Polynomials with
We consider the following generalized form of
which is given by
Yuan [
35] generalized Theorem 38 and proved the following theorem, which gives a uniform treatment of some earlier constructions of permutation polynomials and also new permutation polynomials.
Theorem 44.
[35] [Theorem 3.1 ] Let q be a prime power, and let and be positive integers. Let be q-polynomials, , and such that and . Then
is a permutation polynomial of if and only if
(1) permutes ; and
(2) for any , permutes .
We generalize the result by the local criterion and get the following result.
Theorem 45.
Let q be a prime power and be positive integers. For let be additive polynomials. For if there exsits a polynomial such that , then the polynomial
permutes if and only if for any permutes
Remark 10. The compositional inverse computation approach established in Theorem 43 is applicable to the permutation polynomial constructed in Theorem 45. This enables us to derive an explicit preimage formula for arbitrary elements under , which further extends the conclusion of Theorem 3.10 in [71].
For permutation polynomials of this category, we omit separate listings if only preimage representations rather than closed-form compositional inverses are obtainable. Currently, relevant findings on compositional inverses of such permutation polynomials remain limited, and all existing achievements are established via the direct sum decomposition method [
9,
69,
71]. The local method proposed in this subsection can universally verify all reported results in this field.
Accordingly, this subsection does not enumerate all available cases exhaustively. we briefly review the research progress on compositional inverses of this type of permutation polynomials in a specific subclass, and adopt the local method to provide new proofs for the latest published results, while other cases are not discussed separately (they can be proved by similar methods). Based on the above considerations, we focus on a special class concerning compositional inverses and provide new proofs for the most recent results.
We first revisit the explicit inverse formula given by Coulter and Henderson for a family of bilinear permutation polynomials over finite fields of characteristic two (Theorem 46).
Theorem 46. [77] [Theorem 1] Let , let n be odd, and let . Then the inverse of the PP over is as follows.
Then is the inverse of over .
Laigle-Chapuy [
78] generalized the construction of the permutation in Theorem 46 in a recursive manner to obtain the permutation (47).
Theorem 47.
[78] Let q be a power of 2 and n be odd. Assume is a bilinear permutation polynomial over for a linearized polynomial . Then the polynomial
As observed by Wu [
70], Theorem 47 indeed generalizes Theorem 46: by setting
and
for some
in
, one easily verifies that
where
is the permutation polynomial in Theorem 46. Wu [
70] also gave the compositional inverse of
by the decomposition method.
Theorem 48.
[70] Use the same notations as in Theorem 2.2 and let for a positive integer m. Assume the compositional inverse of is . Then
Tuxanidy and Wang, building upon their results in [
71](which were also obtained via the direct sum decomposition), further generalized the conclusion of Wu [
70].
Theorem 49.
[69] [Theorem 3.3, Corollary 4.3] Let be a power of a prime number p, let , and let be positive integers such that and . Then
is a complete permutation polynomial over for each if and only if is a complete permutation polynomial over . Moreover, If the polynomial f in Theorem 3.3 is a permutation polynomial over , then its compositional inverse over is given by
where and is the compositional inverse of over
Since the proofs of Theorem 47, Theorem 48, and Theorem 49 follow the same line of reasoning, we only present a detailed proof of Theorem 48 by way of illustration via the Local method. We adopt the following notation . For notational convenience, we denote the compositional inverse of the restricted mapping by , that is, .
Proof of Theorem 48
Firstly, it is obvious that
which implies that
where
is the inverse of
over
Moreover, we have
Define the set and
If
, then
this yields
If
, we define
One can verify that
. Substituting the identity
into the expression of
, we get
It follows from Theorem 14 that
Combining equations (
12) and (
14), we arrive at the desired conclusion.
In the proof of Theorem 48 constructed using the local method, it becomes evident that we do not need to rely on direct sum decompositions to solve for the compositional inverse of
3.7. Inverses of Permutations of the Form , where Are Additive Polynomials
In this subsection we consider the problem of explicitly constructing the compositional inverse of permutation polynomials of the form
where each
is a linearized polynomial over
whose image is a 1-dimensional
-vector space.
As a transitional statement, we first assume that the sets (where the index i runs over a suitable collection) are pairwise orthogonal.
Let
be a positive integer,
q a prime power satisfying
, and
a primitive
d-th root of unity over
. We recall the definition of a family of polynomials
introduced in [
16]:
This family of polynomials enjoys three fundamental properties that are central to the study of permutation polynomials (PPs) over finite fields. These properties are summarized below:
(i) For each , satisfies .
(ii) For any positive integer
m and any indices
, the composition of
with
is given by:
(iii) For any integer and any polynomial , the composition vanishes identically over .
Now let
be positive integers,
, and
. In [
16], Yuan considered polynomials of the form:
The permutation behavior of can be illustrated by the following commutative diagram:
If , then the compositional inverse of the monomial is , where is the positive integer satisfying . This gives rise to the following commutative diagram:
where for , , and for .
We also recall the standard decomposition identity:
Combining these commutative diagrams and the decomposition identity, Yuan [
16] established the following result.
Theorem 50. [16] [Theorem 4.1] The polynomial is a PP over if and only if the following conditions hold:
(1) is a complete residue modulo d;
(2) ;
(3) ;
(4) is a PP over .
Furthermore, if is a PP over let be positive integers with and let be the compositional inverse of Then the compositional inverse of is
Remark 11. Let be as defined in Theorem 50. In [14] [Theorem 5.3], Yuan et al. gave a full characterization of permutation polynomials over of the form with . This characterization is a special case of Theorem 50.
Next, we turn to cases where the orthogonality condition is not satisfied. The first such example was given by Wu and Yuan [
79], who studied a class of PPs of the form
and their inverses over
using the local method.
Theorem 51.
[79] [Theorem 2] Let q be a prime power and m be a positive integer. Assume that with , and Then the polynomial
is a permutation polynomial over if and only if and the compositional inverse of is
where , and
In this case, and . Moreover, .
The second example concerns permutation polynomials over
of the form
By direct computation and under the assumption that
(which will appear as a necessary and sufficient condition in the theorem below), Yuan[
14] obtain the following two commutative diagrams:
If
, then there exist positive integers
such that
It follows that
and consequently,
Yuan[
14] got the following characterization.
Theorem 52. [14] [Theorem 5.5] Let q be a prime power, and let be two elements of order in . Then the polynomial , where , is a permutation polynomial of if and only if and .
Building on the idea of Yuan [
14], Wu and Yuan [
79] generalized Theorem 52. Here we do not present the proof details, but only give the necessary notation and the result.
We give some notations at first. Let
q be a prime power and
be a positive integer. For a positive integer
i with
, assume that
with
and the polynomial
Let
be positive integers and
Put
Let
and
Then the authors have the following results by applying the local method.
Theorem 53.
[79] [Theorem 3] Let q be a prime power and be a positive integer. And let the notations , , and be as above. Assume that are positive integers and Then the polynomial
is a permutation polynomial over if and only if and the determinant of is not Moreover, if is a PP over then
where is the th row of and is the last row vector of
Based on Theorem 53, six new classes of permutation polynomials of the form
over
are constructed in [
80]; we do not list them in detail here.
As we well know, the vector space and the finite field are isomorphic as -vector spaces, and therefore every permutation of can be equivalently represented as a PP over .
Let
and
be a pair of dual bases of
over
, and let
be a polynomial. Then for any
,
with
we defined
It is easy to see that
are well-defined and are uniquely determined by
and the base
Moreover, we have
Theorem 54.
[81] [Theorem 1.2] If is a PP over and are maps from to then the polynomial
where are defined above, is a PP over if and only if the following two conditions hold:
(i) is a base of over
(ii) are PPs over
Moreover, if and are the compositional inverses of and respectively, and is the dual base of , then we have
As a consequence of Theorem 54, Yuan [
81] gave the following results.
Corollary 5.
[81] [Corollary 1.1 ]Let be n elements of over , and let
Then is a over if and only if the following three conditions hold
(i) ,
(ii) is a basis of over .
(iii) is a basis of over .
Remark 12. The following characterization of linear permutation polynomials over finite fields is established in [82].
(1)
Let be any given basis of over , and let be a linear polynomial over . Then there exist n elements such that
Moreover, is a permutation polynomial if and only if forms a basis of over . There are exactly distinct linear permutation polynomials, all of which admit the above representation with a basis .
(2)
Let be any given basis of over , and let
Then is a permutation polynomial if and only if is a basis of over .
With the aid of this result, one can observe that Theorem 54 actually generalizes the results given in Theorem 50, 51, Theorem 52 and Theorem 53.
In [
36], Charpin and Kyureghyan characterized and constructed permutation polynomials of the form
where
. Moreover, they proposed the following problem.
Problem 1. [36] [Open Problem 1] Characterize a class of permutation polynomials of type , where is neither a permutation nor a linearized polynomial.
Theorem 55.
[81] [Theorem 4.1] If is a polynomial such that is not a constant map, , then there are at least permutation polynomials of the form
such that is neither a permutation nor a linearized polynomial.
In 2008, Charpin and Kyureghyan [
83] studied permutation polynomials of the form
over finite fields with even characteristic using linear structures, and obtained six classes of such permutations. They [
36] subsequently generalized this work to finite fields with odd characteristic. Meanwhile, in [
37], Kyureghyan also constructed large families of permutation polynomials of the form
, where
is an
-linear permutation over
.
Theorem 56.
[37] [Theorem 1] Let , be arbitrary mappings. Let be an -linear permutation of . If , and is a b-linear translator of f, then
permutes if and only if permutes .
Pang et al. [
84] provide the following definition of linear translators, which is somewhat different from [
10,
36,
37].
Definition 10.
[84] [Theorem 3.4] Let , and be an additive permutation polynomial over . A non-zero element is called a -linear translator of the function f if
holds for any and a fixed .
Let or be an additive permutation polynomial over in the following two results.
Pang et al. [
84] give a generalized result for permutations of
in [
85] and [
86] based on Definition 10 and give their compositional inverses.
Theorem 57.
[84] [Theorem 3.1 ] Let be an arbitrary mapping, and an -linear permutation of . Let be a permutation of , and the compositional inverse of . If is a -linear translator of f, then
is a permutation polynomial over , and its compositional inverse is
The commutative diagram for the permutation polynomial is as follows:
Using the classic definition of linear translators, Qin and Yan [
87] [Theorem 2.1] constructed a class of permutation polynomials of the shape
Pang et al. [
84] show an analogous result with minor modifications and give its compositional inverse.
Theorem 58.
[84] [Theorem 3.3] Let , . Let , and be linearly independent over . If is a -linear translator of for , and a -linear translator of when , then
is a permutation polynomial over if and only if is a permutation polynomial over , where . Moreover, the compositional inverse of is given by
The commutative diagram for the permutation polynomial is as follows:
3.8. Inverses of Piecewise-Constructed Polynomials
The Lagrange interpolation formula is well known for calculating polynomial expressions in a point-to-point manner. For any
, applying the one-variable Lagrange interpolation formula, we can write the polynomial
as the linear combination
where
and
. According to the Lagrange interpolation formula, its inverse can be expressed as
The basic idea of piecewise constructions of PPs is to partition a finite field into subsets and study the permutation property via the functions’ behavior on these subsets. This idea, summarized in [
88] by Cao, Hu and Zha, also applies to finite rings.
The following lemma provides a more general piecewise description of polynomials over finite fields.
Lemma 7.
[88] [Proposition 3] Let be a partition of , and let . Define
where is the characteristic function of , i.e., if and otherwise. Then is a permutation polynomial (PP) of if and only if
(i) is injective on for each ; and
(ii) for all .
From the perspective of construction principles and application purposes, the piecewise method shares similarities with the Lagrange interpolation formula. In this sense, the piecewise method can be viewed as a generalized form of the Lagrange interpolation formula. Specifically, when each
is a singleton set, the piecewise expression reduces exactly to the standard Lagrange interpolation formula. Inspired by the lemma above, Zheng et al. [
89] present the following piecewise interpolation method for constructing inverses of all PPs of finite fields.
Theorem 59.
[89] [Lemma 2.2] If in (15) is a PP of , then the compositional inverse of over is given by
where for any and is the characteristic function of
According to the above lemma, to obtain the compositional inverse of , we need to accomplish the following two steps: (1) for each i, compute the local inverse map of restricted to , satisfying for any ; and (2) derive an explicit expression for the characteristic function . We only introduce one typical example of piecewise permutation polynomial along with its compositional inverse based on Theorem 59, which is presented as follows.
Let
be a fixed primitive element of
and
a fixed primitive
l-th root of unity. Let
and the set of all nonzero
l-th be
Then
is a subgroup of
of index
The elements of the factor group
are the cyclotomic cosets
For any
and a positive integer
r, the
r-th order cyclotomic mapping
of index
l from
to itself (see Niederreiter and Winterhof [
90] for
or Wang [
32] for general
r ) is defined by
Clearly, an
r-th order cyclotomic mapping of index
l produces a polynomial of the form
where
Indeed, the polynomial representation of (
16) is given by
More generally, a simple class of generalized cyclotomic mapping PPs of
was defined in [
91] as
Several equivalent criteria for
f permuting
were given in [
91], and one is that
is a PP of
if and only if
and
In fact, the polynomial defined in (
18) can be rewritten as
Because each branch function is a monomial that maps one coset to another, it is straightforward to find its inverse, which is also a monomial. Putting them together, we obtain the compositional inverse of .
Theorem 60.
[91,92] The inverse of a generalized cyclotomic mapping PP on defined by
where and
A more generalized notation of coset-wise affine permutation functions and their cycle types were studied in [
93]. The most general piecewise construction of permutations using characteristic functions of any partition of a finite field was summarized in [
88,
94]. Piecewise constructions of inverses of these piecewise PPs were also studied in [
89,
92,
95].
3.10. Compositional Inverses of Known Permutation Polynomials Not Obtained from the AGW Criterion
The local method is a valuable tool for constructing permutation polynomials over finite fields and for calculating their composition inverses. In the past, we often demonstrated that a polynomial is a permutation over by using the equation (any ), which has at most one solution in . If we can identify the unique solution of the equation as we can then utilize local methods to derive the composition inverse of as . We present the composition inverses for trinomials and quartics at first.
We introduce the resultant of two polynomials.
Definition 11.
Let and be two polynomials of degree n and m, respectively, with Then the resultant of the two polynomials with respect to x is defined by the determinant
of order
If
where
in the splitting field of
f over
then
is also given by the formula
Then if and only if f and g have a common divisor in of positive degree.
Definition 12. [98] [Definition 2.2] Two permutation polynomials and in are called quasi-multiplicative (QM, for short) equivalence if there exists an integer with and , where .
The following three results were initially established by Gupta et al. [
99] through the multivariate method and polynomial resultants. While Wu et al. [
100] confirmed these results using the local method, their work also provided the explicit compositional inverses of the permutation polynomials.
Theorem 64.
[100] [Theorem 3.1] For a positive integer m, let and with Then the polynomial is a permutation polynomial over if and only if Moreover, if is a permutation polynomial over , then the compositional inverse of is
Remark 13.
Based on the character function of finite field , the inverse function originally defined in piecewise form can be converted into an integrated algebraic expression without segmented judgment, whose specific formula is given by
On this basis, setting in Theorem 64 yields the permutation polynomial . This polynomial is consistent with the research object described in Theorem 2.3 of [101]. Furthermore, Gupta et al. pointed out in Corollary 3.3 of [99] that possesses QM equivalence with permutation polynomial . The equivalence holds under the condition , satisfying the relation . It is also found that the research findings of can generalize the theoretical results proposed in Theorem 3.1 of [102]. For the above reasons, we will not repeat the derivation of compositional inverses for polynomials involved in the two aforementioned classic theorems.
Theorem 65.
[100] [Theorem 3.2] For a positive integer m, let and with Then the polynomial is a permutation polynomial over if and only if Moreover, if permutes , then the compositional inverse of is
Remark 14. Setting in Theorem 65 yields the permutation polynomial which corresponds to Theorem 4.3 in [103]. This polynomial is QM-equivalent to another permutation polynomial, , as established in [99] [Corollary 3.5] via the relation (given ). The polynomial itself generalizes the one presented in Theorem 3.2 of the earlier work [102]. Therefore, the compositional inverses for the polynomials in Theorem 4.3 of [103] and Theorem 3.2 of [102] are not reiterated here.
Theorem 66.
[100] [Theorem 3.3] Let q be a prime power and . Then the polynomial
is a permutation polynomial over if and only if Moreover, if permutes , the compositional inverse of is
Employing the same multivariate and resultant techniques, Wang et al. [
104] established the following six related results.
Theorem 67.
[104] [Theorem 3.1] For a positive integer k with Let Then
is a permutation polynomial over
Wang et al. [
104] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
is
where
Applying the local method, we have the following result.
Theorem 68.
Let the notations be defined as Theorem 67. Then the compositional inverse of over is
Theorem 69.
[104] [Theorem 3.2] For a positive integer k with Let Then
is a permutation polynomial over
Wang et al. [
104] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
is
where
Using the local method, we have the following result.
Theorem 70.
Let the notations be defined as in Theorem 69. Then the compositional inverse of over is
Theorem 71.
[104] [Theorem 3.3] For a positive integer k with Let Then
is a permutation polynomial over
Wang et al. [
104] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
is
where
According to the local method, we have the following result.
Theorem 72.
Let the notations be defined as in Theorem 71. Then the compositional inverse of over is
Theorem 73.
[104] [Theorem 3.4] For a positive integer k with Let Then
is a permutation polynomial over
Wang et al. [
104] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
satisfies
or
where
According to the local method, we have the following result.
Theorem 74.
Let the notations be defined as in Theorem 73. Then the compositional inverse of over is
Theorem 75.
[104] [Theorem 3.5] For a positive integer k with Let Then
is a permutation polynomial over
Wang et al. [
104] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
is
where
It follows from the local method that we have the following result.
Theorem 76.
Let the notations be defined as in Theorem 75. Then the compositional inverse of over is
Theorem 77.
[104] [Theorem 3.6] For a positive integer k with Let Then
is a permutation polynomial over
Wang et al. [
104] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
is
where
It follows from the local method that we have the following result.
Theorem 78.
Let the notations be defined as in Theorem 77. Then the compositional inverse of over is
Theorem 79.
[105] [Theorem 2] For a positive integer m, let and If m is even with and then
is a permutation polynomial over
Pang et al. [
105] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
is
where
It follows from the local method that we have the following result.
Theorem 80.
Let the notations be defined as in Theorem 79. Then the compositional inverse of over is
Theorem 81.
[105] [Theorem 3] For a positive integer m, let and If m is even with and then
is a permutation polynomial over
Pang et al. [
105] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
is
where
It follows from the local method that we have the following result.
Theorem 82.
Let the notations be defined as in Theorem 81. Then the compositional inverse of over is
Theorem 83.
[105] [Theorem 4] For a positive integer m, let and Then
permutes if one of the following conditions holds:
(1) , and
(2) with , and
(3) m is even, and
Pang et al. [
105] showed that for any
, if
then the unique solution of
is
if
then the unique solution of
with condition (1) is
the unique solution of
with condition (2) is
and the unique solution of
with condition (3) is
where
It follows from the local method that we have the following result.
Theorem 84. Let the notations be defined as in Theorem 83.
(1) If , and then the compositional inverse of over is
(2) If with , and then the compositional inverse of over is
(3) If m is even, and then the compositional inverse of over is
Theorem 85.
[105] [Theorem 5] For a positive integer m with , let and with and Then
permutes
Pang et al. [
105] showed that for any
, if
then the unique solution of
is
if
then the unique solution of
is
where
It follows from the local method that we have the following result.
Theorem 86.
Let the notations be defined as in Theorem 85. Then the compositional inverse of over is
Theorem 87.
[105] [Theorem 6] For a positive integer m with , let and with and Then
permutes
Pang et al. [
105] showed that for any
, if
then the unique solution of
is
if
then the unique solution of
is
where
It follows from the local method that we have the following result.
Theorem 88.
Let the notations be defined as in Theorem 87. Then the compositional inverse of over is
Bartoli [
106] considered four classes of permutation trinomials over
Theorem 89.
[106] [Theorem 3.4] Let If then the polynomial
is a permutation polynomial of
Bartoli [
106] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
is
Theorem 90.
Let the notations be defined as in Theorem 89. Then the compositional inverse of over is
Theorem 91.
[106] [Theorem 3.5] If with and are such that has no roots in then the polynomial
is a permutation polynomial of
Bartoli [
106] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
is
Theorem 92.
Let the notations be defined as in Theorem 91. Then the compositional inverse of over is
Theorem 93.
[101] [Theorem 2.4] Let be positive integers with and Then
is a permutation polynomial over
Wang et al. [
101] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
is
where
It follows from the local method that we have the following result.
Theorem 94.
Let the notations be defined as in Theorem 93. Then the compositional inverse of is
Theorem 95.
[101] [Theorem 2.5] Let be positive integers Then
is a permutation polynomial over
Wang et al. [
101] showed that for any
, if
then the unique solution of
is
and if
then the unique solution of
is
where
It follows from the local method that we have the following result.
Theorem 96.
Let the notations be defined as in Theorem 95. Then the compositional inverse of over is
Theorem 97.
[98] [Proposition 2.6] Let be an odd integer and Then the polynomial
is a permutation polynomial over
As noted in [
98], the permutation polynomial
is **quasi-multiplicatively (QM) equivalent to the permutation polynomials in Theorems 5.1 and 5.2 of [
107], namely:
and
Therefore, these results will not be restated here.
For any
, Wu et al. [
98] showed that the unique solution of the equation
is
where
Then we have the following result.
Theorem 98.
Let the notations be defined as in Theorem 97. Then the compositional inverse of over is
Lemma 8.
[108] [Theorem 3.4] Let k be a positive integer and q be a prime power with and let m be an even positive integer. Then
is a permutation polynomial of if and only if one of the following three conditions holds:
(1)
(2)
(3) and where denotes the exponent of 3 in cannonical factorization of
Ding et al. [
108] have show that for any
the equation
has a unique root
and for
the equation
has the only solution
Then we have the following result by Lemma 14.
Theorem 99.
Let the notations be defined in Lemma 8, and
is a permutation polynomial over Then the compositional inverse of is
For let . The following result is derived from the local method.
Table 2.
Known classes of non-linearized permutation trinomial over for odd characteristic and its inverse
Table 2.
Known classes of non-linearized permutation trinomial over for odd characteristic and its inverse
| No. |
|
conditions on m and p
|
Refs. |
its inverse |
| 1 |
|
,
|
[104] [Theorem 3.1]
|
Theorem 68 |
| 2 |
|
,
|
[104] [Theorem 3.2]
|
Theorem 70 |
| 3 |
|
,
|
[104] [Theorem 3.3]
|
Theorem 72 |
| 4 |
|
,
|
[104] [Theorem 3.4]
|
Theorem 74 |
| 5 |
|
,
|
[104] [Theorem 3.5]
|
Theorem 76 |
| 6 |
|
,
|
[104] [Theorem 3.6]
|
Theorem 78 |
Table 3.
Known classes of non-linearized permutation trinomial over and its inverse
Table 3.
Known classes of non-linearized permutation trinomial over and its inverse
| No. |
|
Conditions on m
|
Refs. |
Its inverse |
| 1 |
|
m is even |
[105] [Theorem 2] |
Theorem 80 |
| 2 |
|
m is even |
[105] [Theorem 3] |
Theorem 82 |
| 3 |
|
|
[105] [Theorem 4] |
Theorem 84 |
| |
|
|
|
|
| |
|
m is even |
|
|
| 4 |
|
|
[105] [Theorem 5] |
Theorem 86 |
| 5 |
|
|
[105] [Theorem 5] |
Theorem 88 |
| 6 |
with
|
|
[99] [Theorem 3.2]
|
Theorem 64 |
| 7 |
with
|
|
[99] [Theorem 3.4]
|
Theorem 65 |