Read the equation
Subtracting one from both sides gives error_next=a×error. For 0<a<1, the positive error shrinks geometrically but remains nonzero at every finite step when initialized above one. This supplies an ordinary nonconscious dynamical example of persistent finite-time discrepancy with eventual convergence.
Terms & definitions
| Term | Meaning in this source |
|---|---|
| a | Contraction factor between zero and one |
| y_n | Scalar state; z in another version |
How it works
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Original context
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7.4 Proposition 6: elementary controllers satisfy permanent origin divergence For any a with 0<a<1, let zn+1=azn+1−a, z0=2. The exact solution is zn=1+an. For every integer n≥1, 1<zn<2. The trajectory never returns exactly to the origin two, although it converges to one. A routine can repeatedly output zn=zn at every step. This satisfies the proposed weak numerical pattern of an internally computed change, permanent origin difference, and repeated declarations.
Exact original notation
{z}_{n+1}=a{z}_{n}+\left(1-a\right), {z}_{0}=2.Sources & provenance
{z}_{n+1}=a{z}_{n}+\left(1-a\right), {z}_{0}=2.
{z}_{n+1}=a{z}_{n}+\left(1-a\right), {z}_{0}=2.