discrete-memoryless-channel-with-feedback

Finite discrete memoryless channel with noiseless feedback

Causal noiseless output feedback changes coding strategies and reliability but not ordinary DMC capacity.

Point-to-point Finite alphabet Discrete memoryless Feedback Capacity Exact Single-letter characterization

Channel and question

Input
At time \(t\), the encoder chooses \(X_t\) from the message and \(Y^{t-1}\).
Output
\(Y_t\) is fed back noiselessly after each use.
Law
\(W(y_t|x_t)\) is memoryless in the forward direction.
Quantity
Feedback capacity \(C_{\mathrm{fb}}(W)\), measured in bits per channel use.

Criterion. Average-error capacity with causal feedback.

  • Feedback is causal, noiseless, and unlimited.
  • The criterion is vanishing average error, not zero error.

Current status

\[C_{\mathrm{fb}}(W)=C(W)=\max_{P_X}I(X;Y)\]
ResultRelationMethodYear
Lower\(C_{\mathrm{fb}}\ge C\)Use any capacity-achieving no-feedback code.1956
Upper\(C_{\mathrm{fb}}\le\max_{P_X}I(X;Y)\)Directed dependence through feedback does not exceed the per-use mutual-information maximum for a memoryless channel.1956

Lean formalization

Canonical statementNone

Version 1 · Lean. Causal feedback encoders and block codes are not yet in the Lean API.

Substantial proofs0 linked

No external Lean proof is registered. Proofs longer than roughly 50 lines or requiring problem-specific infrastructure should live in a dedicated repository and link back to this statement version.

References

  1. Claude E. Shannon (1956). The Zero Error Capacity of a Noisy Channel. IRE Transactions on Information Theory. DOI 10.1109/TIT.1956.1056798.
  2. Thomas M. Cover and Joy A. Thomas (2006). Elements of Information Theory. Wiley, second edition. DOI 10.1002/047174882X.

Discussion

Thread key: capacityatlas:discrete-memoryless-channel-with-feedback

Related problems

Noiseless feedback dramatically improves reliability schemes but leaves the ordinary AWGN capacity unchanged.

Point-to-point Continuous alphabet Gaussian Additive noise Feedback Power constraint Capacity Exact
Solved \(C_{\mathrm{AWGN,fb}}=\frac12\log_2\!\left(1+\frac PN\right)\)
Binary Z-channel Z-channel

One binary symbol is transmitted perfectly while the other can flip in only one direction.

Point-to-point Binary Finite alphabet Discrete memoryless Asymmetric Capacity Exact
Solved \(C_Z(p)=\log_2\!\left(1+(1-p)p^{p/(1-p)}\right)\)

Each transmitted bit is received correctly or replaced by a visible erasure symbol.

Point-to-point Binary Finite alphabet Discrete memoryless Symmetric Erasure Capacity Exact
Solved \(C_{\mathrm{BEC}}(\varepsilon)=1-\varepsilon\)

Each bit is independently flipped with probability p, giving the canonical finite noisy channel.

Point-to-point Binary Finite alphabet Discrete memoryless Symmetric Capacity Exact
Solved \(C_{\mathrm{BSC}}(p)=1-h_2(p)\)