Binary symmetric channel
Each bit is independently flipped with probability p. This is the canonical finite noisy channel.
The transmitted q-ary symbol is correct with probability 1-p and otherwise changes uniformly to one of the other symbols.
\(X\in\{1,\ldots,q\}\)
\(Y\in\{1,\ldots,q\}\)
\(P(Y=X)=1-p\); conditioned on an error, each of the \(q-1\) other symbols is equally likely.
| Symbol | Meaning | Range |
|---|---|---|
| \(q\) | Alphabet size. | \(q\ge2\) |
| \(p\) | Total crossover probability. | \(0\le p\le(q-1)/q\) |
Conditions. \(q\ge2\) and \(0\le p\le(q-1)/q\).
The uniform input distribution achieves capacity by channel symmetry.
A generic finite weakly symmetric channel and its capacity theorem are planned after the finite entropy layer.
No Lean file is linked yet. A contribution should begin by reusing the shared definitions under lean/CapacityAtlas.
Each bit is independently flipped with probability p. This is the canonical finite noisy channel.
A relay assists communication from a source to a destination. Decode-forward and the cut-set bound do not coincide in general.
The power-constrained real Gaussian channel has a closed-form capacity attained by a Gaussian input.