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Boolean function

From CryptoDox, The Online Encyclopedia on Cryptography and Information Security

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A Boolean function describes how to determine a Boolean value output based on some logical calculation from Boolean inputs. These play a basic role in questions of complexity theory as well as the design of circuits and chips for digital computers. The properties of boolean functions play a critical role in cryptography, particularly in the design of symmetric key algorithms (see S-box).

A boolean mask operation on boolean-valued functions combines values point-wise (for example, by XOR, or other boolean operators).

Contents

Algebraic Normal Form

A boolean function can be written uniquely as a sum (XOR) of products (AND). This is known as the Algebraic Normal Form (ANF).

f(x_1, x_2, \ldots , x_n) = \! a_0 + \!
a_1x_1 + a_2x_2 + \ldots + a_nx_n + \!
a_{1,2}x_1x_2 + a_{1,3}x_1x_3 + \ldots + a_{n-1,n}x_{n-1}x_n + \!
\ldots + \!
a_{1,2,\ldots,n}x_1x_2\ldots x_n \!

where  a_0, a_1, \ldots, a_{1,2,\ldots,n} \in \{0,1\}^* .

The values of the sequence a_0,a_1,\ldots,a_{1,2,\ldots,n} can therefore also uniquely represent a boolean function. The algebraic degree of a boolean function is defined as the highest number of xi that appear in a product term. Thus f(x1,x2,x3) = x1 + x3 has degree 1 (linear), whereas f(x1,x2,x3) = x1 + x1x2x3 has degree 3 (cubic).

Finitary Boolean Function

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In mathematics, a finitary boolean function is a function of the form f : BkB, where B = {0, 1} is a boolean domain and where k is a nonnegative integer. In the case where k = 0, the "function" is simply a constant element of B.

More generally, a function of the form f : XB, where X is an arbitrary set, is a boolean-valued function. If X = M = {1, 2, 3, …}, then f is a binary sequence, that is, an infinite sequence of 0's and 1's. If X = [k] = {1, 2, 3, …, k}, then f is a binary sequence of length k.

There are 2^{2^k} such functions.

Efficient Representations

Boolean functions are often represented by sentences in propositional logic, but more efficient representations are binary decision diagrams (BDD), negation normal forms, or more generally by propositional directed acyclic graphs (PDAG).

See also

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External links

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