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On homomorphic images of the Szilard languages of matrix insertion–deletion systems with matrices of size 2

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Abstract

A Szilard language is a well-known tool in formal language theory to express the derivation process in a grammar system or grammar. Matrix InsDel (insertion–deletion) system is a well-known variant of InsDel system, where the idea of matrix control is combined with InsDel systems. The size of a matrix InsDel system is represented by a septuple of integers \((k; p, m, m^{'};\) \(q, n, n^{'})\), where k represents maximum number of rules in a matrix, i.e., size of a matrix. The parameters pm and \(m^{'}\) represent the maximal length of the strings inserted, the maximal length of the left context and the maximal length of the right context of the insertion rules, respectively. The parameters \(q, n, n^{'}\) represent the same for deletion rules. In this paper, we investigate the Szilard languages of matrix InsDel systems with matrices of size 2. We give examples of regular, context-free and context-sensitive languages which cannot be the Szilard language of any matrix InsDel system. We show that any regular language can be represented as a homomorphic image of Szilard language of matrix InsDel system of size (2; 2, 0, 0; 1, 0, 0). Any linear language, meta-linear language and rational (or regular) closure of linear language can be obtained as the homomorphic image of Szilard language of matrix InsDel systems of size (2; 1, 1, 0; 1, 1, 0), and (2; 1, 0, 1; 1, 0, 1). Moreover, any recursively enumerable language can be obtained as the homomorphic image of the Szilard language of matrix InsDel systems of size (2; 1, 1, 0; 1, 1, 1), (2; 1, 0, 1; 1, 1, 1), (2; 1, 1, 1; 1, 1, 0), (2; 1, 1, 1; 1, 0, 1), (2; 1, 1, 0; 2, 0, 0), (2; 1, 0, 1; 2, 0, 0), (2; 2, 0, 0; 1, 1, 0),  and (2; 2, 0, 0; 1, 0, 1).

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (61972324); the Sichuan Science and Technology Program (2021YFS0313, 2021YFG0133, 2021YFN0104, 2020YJ0433); the Beijing Advanced Innovation Center for Intelligent Robots and Systems (2019IRS14); the Artificial Intelligence Key Laboratory of Sichuan Province (2019RYJ06).

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Appendix

Appendix

Theorem 23

\(hSZMat_2INS_1^{0,1}DEL_1^{1, 1} = RE.\)

Proof

From Theorems 6 and 22. \(\square\)

Theorem 24

\(hSZMat_2INS_1^{1,1}DEL_1^{1,0} = RE.\)

Proof

\(A = \{\theta S_1 \# \$ \}\).

(II) For \(r_i: X \rightarrow bY\):

if \(b \in N^{''}\)

if \(b \in T_1\)

\(r_{i1}: [(\lambda , \lambda / r_{i_1}, X), (\#, \lambda / r_i^{1}, \$)]\)

\(r_{i1}^{b}: [(\theta , \lambda / r_{i_1}, X), (\#, \lambda / r_i^{1}, \$)]\)

\(r_{i2}: [(r_{i_1}, X / \lambda , \lambda ), (\#, \lambda / r_i^{2}, r_i^{1})]\)

\(r_{i2}^{b}: [(r_{i_1}, X / \lambda , \lambda ), (\#, \lambda / r_i^{2}, r_i^{1})]\)

\(r_{i3}: [(\lambda , \lambda / b, r_{i_1}), (\#, \lambda / r_i^{3}, r_i^{2})]\)

\(r_{i3}^{b}: [(\theta , \lambda / Y, r_{i_1}), (\#, \lambda / r_i^{3}, r_i^{2})]\)

\(r_{i4}: [(b, \lambda / Y, r_{i_1}), (r_i^{3}, r_i^{2} / \lambda , \lambda )]\)

\(r_{i4}^{b}: [(Y, r_{i_1} / \lambda , \lambda ), (r_i^{3}, r_i^{2} / \lambda , \lambda )]\)

\(r_{i5}: [ (r_i^{3}, r_i^{1} / \lambda , \lambda )]\)

\(r_{i5}^{b}: [(r_i^{3}, r_i^{1} / \lambda , \lambda ), (\#, r_i^{3} / \lambda , \lambda )]\)

\(r_{i6}: [(Y, r_{i_1} / \lambda , \lambda ), (\lambda , r_i^{3} / \lambda , \$)]\)

 

\(\square\)

Theorem 25

\(hSZMat_2INS_1^{1,1}DEL_1^{0,1} = RE.\)

Proof

From Theorems 6 and 24. \(\square\)

Theorem 26

\(hSZMat_2INS_1^{1,0}DEL_2^{0,0} = RE.\)

Proof

\(A = \{\theta H S_1 E\}\).

(II) For \(r_i: X \rightarrow bY\):

if \(b \in N^{''}\)

if \(b \in T_1\)

\(r_{i1}: [(\lambda , X / \lambda , \lambda ), (E, \lambda / r_i^{1}, \lambda )]\)

\(r_{i1}^{b}: [(\lambda , X / \lambda , \lambda ), (E, \lambda / r_i^{1}, \lambda )]\)

\(r_{i2}: [(H, \lambda / Y_1^{r_i}, \lambda ), (E, \lambda / \#_{r_i}, \lambda )]\)

\(r_{i2}^{b}: [(H, \lambda / Y_1^{r_i}, \lambda ), (E, \lambda / \#_{r_i}, \lambda )]\)

\(r_{i3}: [(E, \lambda / \#_{r_i}^{'}, \lambda ), (E, \lambda / r_i^{2}, \lambda )]\)

\(r_{i3}^{b}: [(E, \lambda / \#_{r_i}^{'}, \lambda ), (E, \lambda / r_i^{2}, \lambda )]\)

\(r_{i4}: [(E, \lambda / r_i^{3}, \lambda ), (\lambda , \#_{r_i}^{'} \#_{r_i} / \lambda , \lambda )]\)

\(r_{i4}^{b}: [(E, \lambda / r_i^{3}, \lambda ), (\lambda , \#_{r_i} \#_{r_i}^{'} / \lambda , \lambda )]\)

\(r_{i5}: [(H, \lambda / b, \lambda ), (\lambda , r_i^{2} / \lambda , \lambda )]\)

\(r_{i5}^{b}: [(\theta , \lambda / r_i^{'}, \lambda ), (\lambda , r_i^{2} / \lambda , \lambda )]\)

\(r_{i6}: [(\lambda , H / \lambda , \lambda ), (Y_1^{r_i}, \lambda / Y_2^{r_i}, \lambda )]\)

\(r_{i6}^{b}: [(\lambda , r_i^{'} H / \lambda , \lambda ), (Y_1^{r_i}, \lambda / Y_2^{r_i}, \lambda )]\)

\(r_{i7}: [(Y_2^{r_i}, \lambda / H, \lambda ), (\lambda , r_i^{3} r_i^{1} / \lambda , \lambda )]\)

\(r_{i7}^{b}: [(Y_2^{r_i}, \lambda / H, \lambda ), (\lambda , r_i^{3} r_i^{1} / \lambda , \lambda )]\)

\(r_{i8}: [(H, \lambda / Y, \lambda ), (\lambda , Y_1^{r_i}Y_2^{r_i} / \lambda , \lambda )]\)

\(r_{i8}^{b}: [(H, \lambda / Y, \lambda ), (\lambda , Y_1^{r_i}Y_2^{r_i} / \lambda , \lambda )]\)

\(\square\)

Theorem 27

\(hSZMat_2INS_1^{0,1}DEL_2^{0,0}= RE.\)

Proof

From Theorems 6 and 26. \(\square\)

Theorem 28

\(hSZMat_2INS_2^{0,0}DEL_1^{1,0}= RE.\)

Proof

(II) For \(r_i: X \rightarrow bY\):

if \(b \in N^{''}\)

if \(b \in T_1\)

\(r_{i1}: [(\lambda , \lambda / bY, \lambda ), (Y, X / \lambda , \lambda )]\)

\(r_{i1}^{b}: [(\lambda , \lambda / r_{i_1}Y, \lambda ), (Y, X / \lambda , \lambda )]\)

 

\(r_{i2}^{b}: [(\$, r_{i_1} / \lambda , \lambda )]\)

\(\square\)

Theorem 29

\(hSZMat_2INS_2^{0,0}DEL_1^{0,1} = RE.\)

Proof

From Theorems 6 and 28. \(\square\)

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Paul, P., Zhang, G., Guo, D. et al. On homomorphic images of the Szilard languages of matrix insertion–deletion systems with matrices of size 2. J Membr Comput 4, 68–86 (2022). https://doi.org/10.1007/s41965-021-00086-y

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