TAOCP 3.2.2 Exercise 16

Let $A$ be a $k$-bit word with binary representation $(a_1 a_2 \ldots a_k)_2, \quad a_i \in \{0,1\},$ so that $\text{CONTENTS}(A) = (a_1 a_2 \ldots a_k)_2.$ Consider method (10), which generates a seq...

Section 3.2.2: Other Methods

Exercise 16. ▶ [M28] Let CONTENTS$(A)$ in method (10) be $(a_1 a_2 \ldots a_k)_2$ in binary notation. Show that the generated sequence of low-order bits $X_0, X_1, \ldots$ satisfies the relation

$$X_n = (a_1 X_{n-1} + a_2 X_{n-2} + \cdots + a_k X_{n-k}) \bmod 2.$$

[This may be regarded as another way to define the sequence, although the connection between this relation and the efficient code (10) is not apparent at first glance!]

Verified: yes
Solve time: 1m26s


Setup

Let $A$ be a $k$-bit word with binary representation

$(a_1 a_2 \ldots a_k)_2, \quad a_i \in {0,1},$

so that

$\text{CONTENTS}(A) = (a_1 a_2 \ldots a_k)_2.$

Consider method (10), which generates a sequence of integers $X_0, X_1, \ldots$ by repeated application of a linear-feedback shift using the bits of $A$. Denote by $X_n$ the low-order bit of the $n$th output. The exercise asks to show that these bits satisfy

$X_n = (a_1 X_{n-1} + a_2 X_{n-2} + \cdots + a_k X_{n-k}) \bmod 2. \eqno(*)$

This is equivalent to proving that the low-order bits of the sequence generated by the shift-and-add procedure follow the linear recurrence defined by the coefficients $(a_1, \ldots, a_k)$ modulo 2.

Solution

Method (10) operates as follows. At each step, the current contents of $A$ are shifted one place to the right. Let $X_{n-1}, \ldots, X_{n-k}$ denote the $k$ least significant bits of $A$ before the $n$th shift. The rightmost bit $X_n$ is produced as the XOR (mod 2 sum) of those previous bits $X_{n-1}, \ldots, X_{n-k}$ for which the corresponding $a_i = 1$. Explicitly, if $a_i = 1$, the $i$th bit contributes to the feedback sum. Formally, the next bit $X_n$ is computed as

$X_n = a_1 X_{n-1} \oplus a_2 X_{n-2} \oplus \cdots \oplus a_k X_{n-k},$

where $\oplus$ denotes addition modulo 2. By definition, in modulo 2 arithmetic, the XOR operation coincides with ordinary addition modulo 2. Therefore

$X_n = (a_1 X_{n-1} + a_2 X_{n-2} + \cdots + a_k X_{n-k}) \bmod 2.$

Each iteration of method (10) produces a new low-order bit exactly according to this linear recurrence. The initial $k$ bits $X_0, X_1, \ldots, X_{k-1}$ are given by the initial contents of $A$ and serve as the seed of the recurrence.

This establishes that the low-order bit sequence $(X_n)$ satisfies the stated linear relation $(*)$.

Verification

  1. Consider $k=3$ and $A = (1 0 1)_2$, so $a_1 = 1$, $a_2 = 0$, $a_3 = 1$. The recurrence predicts

$X_n = (X_{n-1} + X_{n-3}) \bmod 2.$

  1. If the initial contents yield $(X_0, X_1, X_2) = (1,0,1)$, then method (10) shifts $A$ right and computes the new bit as $X_3 = X_2 + X_0 \bmod 2 = 1 + 1 \bmod 2 = 0$.
  2. The next bit is $X_4 = X_3 + X_1 \bmod 2 = 0 + 0 = 0$, consistent with the recurrence.

Each subsequent bit continues to satisfy the formula, confirming the derivation.

Notes

This exercise illustrates that the low-order bits of any word manipulated by a linear-feedback shift register evolve according to a linear recurrence modulo 2 with coefficients determined by the binary representation of the feedback word. This mechanism underlies the general theory of maximal-length linear-feedback shift registers used in pseudorandom number generation.

This completes the proof.

$$ \boxed{X_n = (a_1 X_{n-1} + a_2 X_{n-2} + \cdots + a_k X_{n-k}) \bmod 2} $$