Karnaugh map
A graphic representation of sets, formulas of
mathematical logic,
events of
probability theory,
and statements or propositions concerning Boolean algebras or any isomorphic entities
thereof (cf. also
Boolean algebra).
A
classical Karnaugh map
of
variables is a two-dimensional display of a Boolean or
switching function
,
where
is the two-element Boolean algebra
or
.
The map is usually drawn as a rectilinear figure of
cells whose boundaries are rectilinear segments, so that a cell will have a square
(or, sometimes, triangular) contour. The combinations of the input map variables
(usually called
discriminants of the map function)
are ordered according to the
reflected binary code
(known also as the
Gray code).
This ordering gives the map the visual advantage that neighbouring cells are represented
by adjacent input variable combinations, i.e., by binary numbers that differ in only
one bit position. The top and bottom rows of the map are viewed as contiguous. Similarly,
the leftmost and rightmost columns are considered adjacent. In that sense, a Karnaugh
map can be imagined to exist on the surface of a torus, not that of a plane.
The Karnaugh map is particularly useful in the representation and manipulation of
incompletely-specified switching functions
(also called
partial functions),
of the form
,
where
.
When a Karnaugh map is drawn, it is usually implicitly assumed that its
input variables are independent. However, the map can be readily modified to handle
certain variable dependencies (such as certain cell mutual exclusions), which results
in reducing the number of cells to less than
.
The Karnaugh map is most useful for functions of
or fewer variables, because the cells for which a given variable is assigned the
value
form a contiguous band. For maps of more than
variables, not all variables are associated with such bands, but as much visual help
as possible is offered. Therefore, the map is used normally to handle up to
variables only, though it may be used, with increasing complexity, to handle up to
variables. With slight modifications, however, the map can be conveniently used to
handle more variables.
There are several entities that the Karnaugh map resembles. The Karnaugh map is simply
a different way of representing a
truth table.
However, it is more concise, saves time, space and effort and gives a pictorial insight
to many algebraic concepts. The
Venn diagram
(Euler diagram)
offers the visual help of the Karnaugh map. However, it is
essentially a curvilinear figure whose boundaries are closed and without self-intersections.
The widespread practice is to draw these boundaries as convex curves such
as circles or ellipses. This unfortunate practice unnecessarily limits the use of
the Venn diagram to
variables only. Both the
Carroll diagram
and the Karnaugh map are rectilinear figures that offer good visual aid by keeping
subdivisions of any general class within one boundary. In fact, they are exactly
the same for
.
Carroll diagrams can handle up to
variables, but they seem to have not been much explored. The ancestor of the Karnaugh
map is the
logical diagram
proposed by
A. Marquand
and rediscovered by
E.W. Veitch
as a
logical chart.
The
Marquand–Veitch diagram
lacks the property of adjacency of rows, columns and cells enjoyed by the Karnaugh
map.
There are map types other than the classical or conventional type. The
variable-entered Karnaugh map
has been developed to double the variable-handling capability of the classical
map. Its input consists of
variables, called
map variables,
while its entries are Boolean formulas or functions of
variables, called
entered variables.
Hence, it can be used to represent
"big"
Boolean functions of the form
,
where
,
or of the form
,
where
,
,
is the Boolean algebra of
elements. A Karnaugh map of real entries is used to represent pseudo-switching
(pseudo-Boolean) functions of the form
,
where
is the field of real numbers. The Karnaugh map is also useful as a probability map
for representing probability functions
,
where
.
The Karnaugh map is widely used by logical designers. It is discussed in almost every
text on logic design and switching theory. It can serve as a pictorial and pedagogical
demonstration of basic switching theory concepts such as duality, prime implicants
and essential prime implicants. In addition, it can be used for implementing Boolean
operations collectively on significant portions of the input domain without going
down to the cell level. The most famous use of the map is for
minimization of a switching function,
i.e., to obtain a formula for the
function in
sum-of-products
(disjunction of conjunctions) form that has a minimum number of prime implicants
as the primary objective and that has a minimum number of literals as the secondary
objective. The map is also used for obtaining the minimal dual form, i.e., the minimal
product-of-sums
(conjunction of disjunctions) form. The map finds
other uses in the complementation, differencing (the so-called
"differentiation" )
and spectral-coefficient evaluation of switching functions, symbolic reliability
analysis, solution of Boolean equations, and the like.  Figure: k110040a A Karnaugh map for a
-variable completely specified switching function.
References| [a1] |
S. Muroga,
"Logic design and switching theory"
, Wiley
(1979) | | [a2] |
F.M. Brown,
"Boolean reasoning, the logic of Boolean equations"
, Kluwer Acad. Publ.
(1990) | | [a3] |
R.F. Wheeler,
"Rethinking mathematical concepts"
, Ellis Horwood
(1981) | | [a4] |
L. Carroll,
"Symbolic logic"
, Harvester
(1977) | | [a5] |
J. Venn,
"Symbolic logic"
, Macmillan
(1894) | | [a6] |
A.M. Rushdi,
D.L. Al-Khateeb,
"A review of methods for system reliability analysis: a Karnaugh-map perspective"
, Proc. First Saudi Engineering Conf., Jeddah, Saudi Arabia
, 1
(1983)
pp. 57–95 | | [a7] |
A.M. Rushdi,
"Symbolic reliability analysis with the aid of variable-entered Karnaugh maps"
IEEE Trans. Reliability
, R–32
: 2
(1983)
pp. 134–139 | | [a8] |
A.M. Rushdi,
"On reliability evaluation by network decomposition"
IEEE Trans. Reliability
, R–33
: 5
(1984)
pp. 379–384
(Corrections: IEEE Trans. Reliability R–34, no. 4 (1985), 319) | | [a9] |
A.M. Rushdi,
"Map derivation of the minimal sum of a switching function from that of its complement"
Microelectronics and Reliability
, 25
: 6
(1985)
pp. 1055–1065 | | [a10] |
A.M. Rushdi,
"Map
"differentiation" of switching functions"
Microelectronics and Reliability
, 26
: 5
(1986)
pp. 891–908 | | [a11] |
A.M. Rushdi,
"Improved variable-entered Karnaugh map procedures"
Computers and Electrical Engineering
, 13
: 1
(1987)
pp. 41–52 | | [a12] |
A.M. Rushdi,
"Logic design of NAND (NOR) circuits by the entered-map-factoring method"
Microelectronics and Reliability
, 27
: 4
(1987)
pp. 693–701 | | [a13] |
A.M. Rushdi,
"Performance indexes of a telecommunication network"
IEEE Trans. Reliability
, 37
: 1
(1988)
pp. 57–64 | | [a14] |
J.H. Tucker,
M.A. Tapia,
"Using Karnaugh maps to solve Boolean equations by successive elimination"
, Proc. First IEEE South East Conf.
, 2
(1992)
pp. 589–592 |
A.M. Rushdi
This text originally appeared in Encyclopaedia of Mathematics
- ISBN 1402006098
|