How flexibible can one choose the properties of algebraic-geometric codes?












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Theorem 7.3 on page 67 in these lecture notes states the following.



For every even power of a prime $q$, and every parameter $delta < 1 - 1/(sqrt{q} - 1)$, there exists an infinite family of $q$-ary linear codes of relative distane $delta$ and rate $R geq 1- delta - 1/(sqrt{q} - 1)$. Further a generator matrix for such a code can be construted in $tilde{mathcal{O}}(n^3)$ time, where $n$ is the length of the code.



While this is really nice in asymptotic contexts, I wonder how flexible one can choose the concrete parameters of these algebraic geometric codes. For example: Could one choose
$q = 64, delta = 0.19$ and $k = 2$ to have an $[3, 2, 1]_64$ code? Or phrased more generally: Which constraints are there on the choice of these parameters?



I tried reading the paper the theorem above is based on, but I am to unacquainted to algebraic geometry to answer the question myself.










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  • 1




    Those results (at least most of them) are asymptotic in nature. To realize a fixed pair of parameters $(R,delta)$ may require quite long codes. I'm afraid I'm not up to speed with what exactly is possible. I would look up Garcia-Stichtenoth curves (or a tower of curves/function field extensions) to get a more precise idea about explicit parameter sets. I'm not sure whether the original Tsfasman-Vladuts-Zink results were based on explicit curves or simply on some existence results. I would need to check a few sources to say anything precise.
    – Jyrki Lahtonen
    Dec 30 '18 at 20:03












  • @JyrkiLahtonen Thank you for your comment. Something like this was what I was looking for. Concerning the explicitness, I think it was the way that Garcia and Strichtenloh were the first to provide an polynomial time construction. However, the polynomial was something like $n^30$. Then the paper I linked above was the first to come up with a construction in time $tilde{mathcal{O}}(n^3)$.
    – Dave
    Dec 30 '18 at 21:42
















1














Theorem 7.3 on page 67 in these lecture notes states the following.



For every even power of a prime $q$, and every parameter $delta < 1 - 1/(sqrt{q} - 1)$, there exists an infinite family of $q$-ary linear codes of relative distane $delta$ and rate $R geq 1- delta - 1/(sqrt{q} - 1)$. Further a generator matrix for such a code can be construted in $tilde{mathcal{O}}(n^3)$ time, where $n$ is the length of the code.



While this is really nice in asymptotic contexts, I wonder how flexible one can choose the concrete parameters of these algebraic geometric codes. For example: Could one choose
$q = 64, delta = 0.19$ and $k = 2$ to have an $[3, 2, 1]_64$ code? Or phrased more generally: Which constraints are there on the choice of these parameters?



I tried reading the paper the theorem above is based on, but I am to unacquainted to algebraic geometry to answer the question myself.










share|cite|improve this question


















  • 1




    Those results (at least most of them) are asymptotic in nature. To realize a fixed pair of parameters $(R,delta)$ may require quite long codes. I'm afraid I'm not up to speed with what exactly is possible. I would look up Garcia-Stichtenoth curves (or a tower of curves/function field extensions) to get a more precise idea about explicit parameter sets. I'm not sure whether the original Tsfasman-Vladuts-Zink results were based on explicit curves or simply on some existence results. I would need to check a few sources to say anything precise.
    – Jyrki Lahtonen
    Dec 30 '18 at 20:03












  • @JyrkiLahtonen Thank you for your comment. Something like this was what I was looking for. Concerning the explicitness, I think it was the way that Garcia and Strichtenloh were the first to provide an polynomial time construction. However, the polynomial was something like $n^30$. Then the paper I linked above was the first to come up with a construction in time $tilde{mathcal{O}}(n^3)$.
    – Dave
    Dec 30 '18 at 21:42














1












1








1







Theorem 7.3 on page 67 in these lecture notes states the following.



For every even power of a prime $q$, and every parameter $delta < 1 - 1/(sqrt{q} - 1)$, there exists an infinite family of $q$-ary linear codes of relative distane $delta$ and rate $R geq 1- delta - 1/(sqrt{q} - 1)$. Further a generator matrix for such a code can be construted in $tilde{mathcal{O}}(n^3)$ time, where $n$ is the length of the code.



While this is really nice in asymptotic contexts, I wonder how flexible one can choose the concrete parameters of these algebraic geometric codes. For example: Could one choose
$q = 64, delta = 0.19$ and $k = 2$ to have an $[3, 2, 1]_64$ code? Or phrased more generally: Which constraints are there on the choice of these parameters?



I tried reading the paper the theorem above is based on, but I am to unacquainted to algebraic geometry to answer the question myself.










share|cite|improve this question













Theorem 7.3 on page 67 in these lecture notes states the following.



For every even power of a prime $q$, and every parameter $delta < 1 - 1/(sqrt{q} - 1)$, there exists an infinite family of $q$-ary linear codes of relative distane $delta$ and rate $R geq 1- delta - 1/(sqrt{q} - 1)$. Further a generator matrix for such a code can be construted in $tilde{mathcal{O}}(n^3)$ time, where $n$ is the length of the code.



While this is really nice in asymptotic contexts, I wonder how flexible one can choose the concrete parameters of these algebraic geometric codes. For example: Could one choose
$q = 64, delta = 0.19$ and $k = 2$ to have an $[3, 2, 1]_64$ code? Or phrased more generally: Which constraints are there on the choice of these parameters?



I tried reading the paper the theorem above is based on, but I am to unacquainted to algebraic geometry to answer the question myself.







algebraic-geometry asymptotics coding-theory






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asked Dec 28 '18 at 19:07









DaveDave

1237




1237








  • 1




    Those results (at least most of them) are asymptotic in nature. To realize a fixed pair of parameters $(R,delta)$ may require quite long codes. I'm afraid I'm not up to speed with what exactly is possible. I would look up Garcia-Stichtenoth curves (or a tower of curves/function field extensions) to get a more precise idea about explicit parameter sets. I'm not sure whether the original Tsfasman-Vladuts-Zink results were based on explicit curves or simply on some existence results. I would need to check a few sources to say anything precise.
    – Jyrki Lahtonen
    Dec 30 '18 at 20:03












  • @JyrkiLahtonen Thank you for your comment. Something like this was what I was looking for. Concerning the explicitness, I think it was the way that Garcia and Strichtenloh were the first to provide an polynomial time construction. However, the polynomial was something like $n^30$. Then the paper I linked above was the first to come up with a construction in time $tilde{mathcal{O}}(n^3)$.
    – Dave
    Dec 30 '18 at 21:42














  • 1




    Those results (at least most of them) are asymptotic in nature. To realize a fixed pair of parameters $(R,delta)$ may require quite long codes. I'm afraid I'm not up to speed with what exactly is possible. I would look up Garcia-Stichtenoth curves (or a tower of curves/function field extensions) to get a more precise idea about explicit parameter sets. I'm not sure whether the original Tsfasman-Vladuts-Zink results were based on explicit curves or simply on some existence results. I would need to check a few sources to say anything precise.
    – Jyrki Lahtonen
    Dec 30 '18 at 20:03












  • @JyrkiLahtonen Thank you for your comment. Something like this was what I was looking for. Concerning the explicitness, I think it was the way that Garcia and Strichtenloh were the first to provide an polynomial time construction. However, the polynomial was something like $n^30$. Then the paper I linked above was the first to come up with a construction in time $tilde{mathcal{O}}(n^3)$.
    – Dave
    Dec 30 '18 at 21:42








1




1




Those results (at least most of them) are asymptotic in nature. To realize a fixed pair of parameters $(R,delta)$ may require quite long codes. I'm afraid I'm not up to speed with what exactly is possible. I would look up Garcia-Stichtenoth curves (or a tower of curves/function field extensions) to get a more precise idea about explicit parameter sets. I'm not sure whether the original Tsfasman-Vladuts-Zink results were based on explicit curves or simply on some existence results. I would need to check a few sources to say anything precise.
– Jyrki Lahtonen
Dec 30 '18 at 20:03






Those results (at least most of them) are asymptotic in nature. To realize a fixed pair of parameters $(R,delta)$ may require quite long codes. I'm afraid I'm not up to speed with what exactly is possible. I would look up Garcia-Stichtenoth curves (or a tower of curves/function field extensions) to get a more precise idea about explicit parameter sets. I'm not sure whether the original Tsfasman-Vladuts-Zink results were based on explicit curves or simply on some existence results. I would need to check a few sources to say anything precise.
– Jyrki Lahtonen
Dec 30 '18 at 20:03














@JyrkiLahtonen Thank you for your comment. Something like this was what I was looking for. Concerning the explicitness, I think it was the way that Garcia and Strichtenloh were the first to provide an polynomial time construction. However, the polynomial was something like $n^30$. Then the paper I linked above was the first to come up with a construction in time $tilde{mathcal{O}}(n^3)$.
– Dave
Dec 30 '18 at 21:42




@JyrkiLahtonen Thank you for your comment. Something like this was what I was looking for. Concerning the explicitness, I think it was the way that Garcia and Strichtenloh were the first to provide an polynomial time construction. However, the polynomial was something like $n^30$. Then the paper I linked above was the first to come up with a construction in time $tilde{mathcal{O}}(n^3)$.
– Dave
Dec 30 '18 at 21:42










1 Answer
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There is no single theorem that says what parameters are possible.



If you Ctrl-F (or whatever equivalent) your document for “bound”, you will find several famous constrains on the relationship between code length, alphabet size and distance. That is what you are looking for, essentially.



In coding theory, you will encounter many families of codes, all of which have different properties and performance. All you can do is check their parameters. I don’t think it’s feasible to exhaustively search for combinations of parameters.






share|cite|improve this answer





















  • Thank you for your quick response. I already know about the several bounds. What I wonder about much more is the granularity in the concrete case. Meaning if it is possible to construct codes for all $n$ in the bounds or if there for example has to exist a set with certain properties which does not always exist.
    – Dave
    Dec 28 '18 at 20:07










  • @Dave Like I said: There is no single theorem that says what parameters are possible. Sometimes a given bound will introduce an example to show the maximum can be attained, but I have never heard of one providing examples for all combinations of parameters below the bound. I don't think its feasible.
    – rschwieb
    Dec 28 '18 at 20:49











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1 Answer
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1














There is no single theorem that says what parameters are possible.



If you Ctrl-F (or whatever equivalent) your document for “bound”, you will find several famous constrains on the relationship between code length, alphabet size and distance. That is what you are looking for, essentially.



In coding theory, you will encounter many families of codes, all of which have different properties and performance. All you can do is check their parameters. I don’t think it’s feasible to exhaustively search for combinations of parameters.






share|cite|improve this answer





















  • Thank you for your quick response. I already know about the several bounds. What I wonder about much more is the granularity in the concrete case. Meaning if it is possible to construct codes for all $n$ in the bounds or if there for example has to exist a set with certain properties which does not always exist.
    – Dave
    Dec 28 '18 at 20:07










  • @Dave Like I said: There is no single theorem that says what parameters are possible. Sometimes a given bound will introduce an example to show the maximum can be attained, but I have never heard of one providing examples for all combinations of parameters below the bound. I don't think its feasible.
    – rschwieb
    Dec 28 '18 at 20:49
















1














There is no single theorem that says what parameters are possible.



If you Ctrl-F (or whatever equivalent) your document for “bound”, you will find several famous constrains on the relationship between code length, alphabet size and distance. That is what you are looking for, essentially.



In coding theory, you will encounter many families of codes, all of which have different properties and performance. All you can do is check their parameters. I don’t think it’s feasible to exhaustively search for combinations of parameters.






share|cite|improve this answer





















  • Thank you for your quick response. I already know about the several bounds. What I wonder about much more is the granularity in the concrete case. Meaning if it is possible to construct codes for all $n$ in the bounds or if there for example has to exist a set with certain properties which does not always exist.
    – Dave
    Dec 28 '18 at 20:07










  • @Dave Like I said: There is no single theorem that says what parameters are possible. Sometimes a given bound will introduce an example to show the maximum can be attained, but I have never heard of one providing examples for all combinations of parameters below the bound. I don't think its feasible.
    – rschwieb
    Dec 28 '18 at 20:49














1












1








1






There is no single theorem that says what parameters are possible.



If you Ctrl-F (or whatever equivalent) your document for “bound”, you will find several famous constrains on the relationship between code length, alphabet size and distance. That is what you are looking for, essentially.



In coding theory, you will encounter many families of codes, all of which have different properties and performance. All you can do is check their parameters. I don’t think it’s feasible to exhaustively search for combinations of parameters.






share|cite|improve this answer












There is no single theorem that says what parameters are possible.



If you Ctrl-F (or whatever equivalent) your document for “bound”, you will find several famous constrains on the relationship between code length, alphabet size and distance. That is what you are looking for, essentially.



In coding theory, you will encounter many families of codes, all of which have different properties and performance. All you can do is check their parameters. I don’t think it’s feasible to exhaustively search for combinations of parameters.







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Dec 28 '18 at 19:21









rschwiebrschwieb

105k12100245




105k12100245












  • Thank you for your quick response. I already know about the several bounds. What I wonder about much more is the granularity in the concrete case. Meaning if it is possible to construct codes for all $n$ in the bounds or if there for example has to exist a set with certain properties which does not always exist.
    – Dave
    Dec 28 '18 at 20:07










  • @Dave Like I said: There is no single theorem that says what parameters are possible. Sometimes a given bound will introduce an example to show the maximum can be attained, but I have never heard of one providing examples for all combinations of parameters below the bound. I don't think its feasible.
    – rschwieb
    Dec 28 '18 at 20:49


















  • Thank you for your quick response. I already know about the several bounds. What I wonder about much more is the granularity in the concrete case. Meaning if it is possible to construct codes for all $n$ in the bounds or if there for example has to exist a set with certain properties which does not always exist.
    – Dave
    Dec 28 '18 at 20:07










  • @Dave Like I said: There is no single theorem that says what parameters are possible. Sometimes a given bound will introduce an example to show the maximum can be attained, but I have never heard of one providing examples for all combinations of parameters below the bound. I don't think its feasible.
    – rschwieb
    Dec 28 '18 at 20:49
















Thank you for your quick response. I already know about the several bounds. What I wonder about much more is the granularity in the concrete case. Meaning if it is possible to construct codes for all $n$ in the bounds or if there for example has to exist a set with certain properties which does not always exist.
– Dave
Dec 28 '18 at 20:07




Thank you for your quick response. I already know about the several bounds. What I wonder about much more is the granularity in the concrete case. Meaning if it is possible to construct codes for all $n$ in the bounds or if there for example has to exist a set with certain properties which does not always exist.
– Dave
Dec 28 '18 at 20:07












@Dave Like I said: There is no single theorem that says what parameters are possible. Sometimes a given bound will introduce an example to show the maximum can be attained, but I have never heard of one providing examples for all combinations of parameters below the bound. I don't think its feasible.
– rschwieb
Dec 28 '18 at 20:49




@Dave Like I said: There is no single theorem that says what parameters are possible. Sometimes a given bound will introduce an example to show the maximum can be attained, but I have never heard of one providing examples for all combinations of parameters below the bound. I don't think its feasible.
– rschwieb
Dec 28 '18 at 20:49


















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