Let's be lazy and use sympy, a Python library for symbolic computation.
>>> from sympy import *
>>> from sympy.logic import simplify_logic
>>> a, b, c = symbols('a, b, c')
>>> expr = a & b & (~b | c) | b & c | b # A.B.(~B+C)+B.C+B
>>> simplify_logic(expr)
b
There are two ways to go about such a formula:
- Applying simplifications,
- Brute force
Let's look at brute force first. The following is a dense truth table (for a better looking table, look at Wα), enumerating all possible value for a, b and c, alongside the values of the expression.
a b c -- a & b & (~b | c) | b & c | b = Q
0 0 0 0 0 10 1 0 0 0 0 0 = 0
0 0 1 0 0 10 1 1 0 0 1 0 = 0
0 1 0 0 1 01 0 0 1 0 0 1 = 1
0 1 1 0 1 01 1 1 1 1 1 1 = 1
1 0 0 1 0 10 1 0 0 0 0 0 = 0
1 0 1 1 0 10 1 1 0 0 1 0 = 0
1 1 0 1 1 01 1 0 1 0 0 1 = 1
1 1 1 1 1 01 1 1 1 1 1 1 = 1
You can also think of the expression as a tree, which will depend on the precedence rules (e.g. usually AND binds stronger than OR, see also this question on math.se).
So the expression:
a & b & (~b | c) | b & c | b
is a disjunction of three terms:
a & b & (~b | c)
b & c
b
You can try to reason about the individual terms, knowing that only one has to be true (as this is a disjunction).
The last two will be true, if and only if b is true. For the first, this a bit harder to see, but if you look closely: you have now a conjunction (terms concatenated by AND): All of them must be true, for the whole expression to be true, so a and b must be true. Especially b must be true.
In summary: For the whole expression to be true, in all three top-level cases, b must be true (and it will be false, if b is false). So it simplifies to just b.
Explore more on Wolfram Alpha:
