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The '''Elias-Bassalygo bound''' is a mathematical limit used in [[coding theory]] for [[error correction]] during [[data transmission]] or communications. The properties of the Elias-Bassalygo bound are defined, below, using mathematical expressions.<!--See "Hamming bound" for similar math-->
 
== Definition ==
Let <math>C</math> be a <math>q</math>-ary code of length <math>n</math>, i.e. a subset of <math>[q]^n</math>. (Each <math>q</math>-ary block code of length <math>n</math> is a subset of the strings of <math>\mathcal{A}_q^n\text{,}</math> where the alphabet set <math>\mathcal{A}_q</math> has <math>q</math> elements). Let <math>R</math> be the ''rate'' of <math>C</math> and <math>\delta</math> (delta) be the ''relative distance''.  
 
Let <math>B_q(\boldsymbol{y}, \rho n) =\{ \boldsymbol{x} \in [q]^n | \Delta(\boldsymbol{x}, \boldsymbol{y}) \le \rho n \}</math> be the ''[[Hamming ball]]'' of radius <math> \rho n </math> centered at <math>\boldsymbol{y}</math>. Let <math> Vol_q(\boldsymbol{y}, \rho n) = |B_q(\boldsymbol{y}, \rho n)| </math> be the ''volume'' of the Hamming ball of radius <math> \rho n </math>. It is obvious that the volume of a Hamming Ball is translation-invariant, i.e. irrelevant with position of <math>\boldsymbol{y}</math>.  In particular, <math> |B_q(\boldsymbol{y}, \rho n)| =|B_q(\boldsymbol{0}, \rho n)| </math>&nbsp;.
 
With large enough <math>n</math>, the ''rate'' <math>R</math> and  the ''relative distance'' <math>\delta</math> satisfies the '''''Elias-Bassalygo bound:''''' <math>R \le 1 - H_q( J_q(\delta))+o(1)\text{,} </math> 
 
where
 
: <math> H_q(x)\equiv_ \text{def} -x\cdot\log_q{x \over {q-1}}-(1-x)\cdot\log_q{(1-x)} </math>
 
is the ''q''-ary entropy function
and
 
: <math>J_q(\delta) \equiv_ \text{def} \left(1-{1\over q}\right)\left(1-\sqrt{1-{q \delta \over{q-1}}}\right) </math> is a function related with [[Johnson bound]].
 
== Proof ==
To prove the Elias–Bassalygo bound, start with the following Lemma:
 
'''''Lemma 1:''''' Given a ''q''-ary code, <math>C\subseteq  [q]^n </math> and <math> 0\le  e\le  n</math>, there exists a Hamming ball of radius <math>e</math> with at least <math>{|C|Vol_q(0,e)} \over {q^n}</math> codewords in it.
 
Proof of Lemma 1: To prove ''Lemma 1'', use the probability method. Randomly pick a received word <math>y \in [q]^n</math>. The expected size of overlapped region between <math> C</math> and the Hamming ball centered at <math>y</math> with radius <math>e</math>, <math>|B_q(y,e) \cap C|</math> is <math>Vol_q(y,e) {{|C|} \over {q^n}}</math> since <math>y</math> is (uniform) randomly selected. Since this is the expected value of the size, there must exist at least one <math>y</math> such that <math>|B_q(y,e) \cap C| \ge Vol_q(y,e) {{|C|} \over {q^n}} = {{|C|Vol_q(0,e)} \over {q^n}}</math>, otherwise the expectation must be smaller than this value.
 
Now we prove the Elias–Bassalygo bound.
 
Define <math>e = n J_q(\delta)-1 </math>.  
 
By Lemma 1, there exists a Hamming ball with <math>B</math> codewords such that
<math>B\ge { {|C|Vol(0,e)} \over {q^n}} </math>
 
By the [[Johnson bound]], we have <math>B\le qdn</math>. Thus, 
 
: <math>\mid C \mid \le qnd \cdot {{q^n} \over {Vol_q(0,e)}} \le q^{n(1-H_q(J_q(\delta))+o(1))}</math>
 
The second inequality follows from lower bound on the volume of a Hamming ball:
<math> Vol_q(0, \lfloor {{d-1} \over 2} \rfloor) \le q^{H_q({\delta \over 2})n-o(n)} </math>.
 
Putting in <math>d=2e+1</math> and <math> \delta = {d \over n}</math> gives the second inequality.
 
Therefore we have
 
: <math>R={\log_q{|C|} \over n} \le 1-H_q(J_q(\delta))+o(1) </math>
 
== See also ==
 
* [[Singleton bound]]
* [[Hamming bound]]
* [[Plotkin bound]]
* [[Gilbert–Varshamov bound]]
* [[Johnson bound]]
 
==References==
{{Reflist}}
{{Citation
| title = New upper boundes for error-correcting codes
| year = 1965
| author = Bassalygo, L. A.
| journal = Problems of Information Transmission
| pages = 32–35
| volume = 1
| issue = 1
}}
 
{{Citation
| title = Lower bounds to error probability for coding on discrete memoryless channels. Part I.
| year = 1967
| journal = Information and Control
| pages = 65–103
| volume = 10
| last1 = Claude E. Shannon    | first1 =  Robert G. Gallager
| last2 =  Berlekamp   
| first2 =  Elwyn R.  
}}
 
{{Citation
| title = Lower bounds to error probability for coding on discrete memoryless channels. Part II.
| year = 1967
| journal = Information and Control
| pages = 522–552
| volume = 10
| last1 = Claude E. Shannon    | first1 =  Robert G. Gallager
| last2 =  Berlekamp   
| first2 =  Elwyn R.  
}}
 
[[Category:Coding theory]]
[[Category:Articles containing proofs]]

Latest revision as of 02:41, 19 November 2013

The Elias-Bassalygo bound is a mathematical limit used in coding theory for error correction during data transmission or communications. The properties of the Elias-Bassalygo bound are defined, below, using mathematical expressions.

Definition

Let be a -ary code of length , i.e. a subset of . (Each -ary block code of length is a subset of the strings of where the alphabet set has elements). Let be the rate of and (delta) be the relative distance.

Let be the Hamming ball of radius centered at . Let be the volume of the Hamming ball of radius . It is obvious that the volume of a Hamming Ball is translation-invariant, i.e. irrelevant with position of . In particular,  .

With large enough , the rate and the relative distance satisfies the Elias-Bassalygo bound:

where

is the q-ary entropy function and

is a function related with Johnson bound.

Proof

To prove the Elias–Bassalygo bound, start with the following Lemma:

Lemma 1: Given a q-ary code, and , there exists a Hamming ball of radius with at least codewords in it.

Proof of Lemma 1: To prove Lemma 1, use the probability method. Randomly pick a received word . The expected size of overlapped region between and the Hamming ball centered at with radius , is since is (uniform) randomly selected. Since this is the expected value of the size, there must exist at least one such that , otherwise the expectation must be smaller than this value.

Now we prove the Elias–Bassalygo bound.

Define .

By Lemma 1, there exists a Hamming ball with codewords such that

By the Johnson bound, we have . Thus,

The second inequality follows from lower bound on the volume of a Hamming ball: .

Putting in and gives the second inequality.

Therefore we have

See also

References

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