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(1*4) ={1,1,1,1} <------------- Maximum symmetry-degree,
((1*2)+1*2) ={{1,1},1,1} Minimum information's clarity-degree
(((+1)+1)+1*2) ={{{1},1},1,1} (no uniqueness)
((1*2)+(1*2)) ={{1,1},{1,1}}
(((+1)+1)+(1*2)) ={{{1},1},{1,1}}
(((+1)+1)+((+1)+1))={{{1},1},{{1},1}}
((1*3)+1) ={{1,1,1},1}
(((1*2)+1)+1) ={{{1,1},1},1}
((((+1)+1)+1)+1) ={{{{1},1},1},1} <------ Minimum symmetry-degree,
Maximum information's clarity-degree
(uniqueness)
============>>>
Uncertainty
<-Redundancy->^
3 3 3 3 | 3 3 3 3
2 2 2 2 | 2 2 2 2
1 1 1 1 | 1 1 1 1 1 1 1 1 1 1
{0, 0, 0, 0} V {0, 0, 0, 0} {0, 1, 0, 0} {0, 0, 0, 0}
. . . . . . . . . . . . . . . .
| | | | | | | | | | | | | | | |
| | | | |__|_ | | |__| | | |__|_ |__|_
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
|__|__|__|_ |_____|__|_ |_____|__|_ |_____|____
| | | |
4 =
2 2 2
1 1 1 1 1 1 1
{0, 1, 0, 0} {0, 1, 0, 1} {0, 0, 0, 3} {0, 0, 2, 3}
. . . . . . . . . . . . . . . .
| | | | | | | | | | | | | | | |
|__| |__|_ |__| |__| | | | | |__|_ | |
| | | | | | | | | | |
| | | | |__|__|_ | |_____| |
| | | | | | | |
|_____|____ |_____|____ |________| |________|
| | | |
{0, 1, 2, 3}
. . . .
| | | |
|__| | |
| | |
|_____| |
| |
|________|
|
Originally posted by Hurkyl
Phoenix: I was doing a bit of thinking, and I wonder if you shouldn't just study fuzzy sets:
For instance, consider this model:
We assign real numbers to truth values: T = 1, M = 0.5, F = 0. Your sets are fuzzy sets whose range must be {0, 0.5, 1}. In other words, a set is merely a function from a domain into {0, 0.5, 1}.
We can then equip a fuzzy set with an extra gadget we call it's "default value"; any element that doesn't appear in the domain of the fuzzy set gets assigned the default value.
for instance, consider the fuzzy set over {0, 1, 2, 3}:
S = { (0, T), (1, T), (2, F), (3, M) }
That is, in your set land, 0 and 1 are elements of S, 2 is not an element of S, and 3 is a maybe-element of S. Or, S(0) = 1, S(1) = 1, S(2) = 0, S(3) = 0.5
Now, we add the default value "M" to T to get (I'm inventing notation now):
S = {M | (0, T), (1, T), (2, F), (3, M) }
So now all of the above values are the same, but we also have (and this is technically new notation): 4 is a maybe-element of S; that is S(4) = 0.5, and similarly for everything that's not 0, 1, or 2.
And then, via magic, we have a "universal set" produced by taking the empty set (which is a fuzzy set with the empty domain!) and equipping it with default value T.
We could replace the range of truth values {0, 0.5, 1} with any domain we like, really... it seems there's no need to resort to ternary logic with this approach, we can accomplish the same sort of thing with crisp sets.
We get consistency relative to ZFC for free this way... I wonder how the axiomization of this theory would work?
Allow me to reformulate it in a slightly different way to simplify things.
A p-set is an ordered pair [itex](S, d)[/itex] where we have [itex]\mathrm{Set}(S)[/itex] and [itex]d \in \{\mathrm{true}, \mathrm{false} \}[/itex], and we define p-membership as [itex]a \in_p (S, d) \leftrightarrow a \in S \oplus d[/itex]. (where [itex]\oplus[/itex] is exclusive-or; I didn't want to figure out how to make the usual symbol)
That is, [itex]d[/itex] is a sort of polarity; if [itex]d = \mathrm{true}[/itex], then the "default" value is true, and [itex]S[/itex] contains the elements that aren't a p-member of [itex](S, d)[/itex], and if [itex]d = \mathrm{false}[/itex], then the "default" value is false, and [itex]S[/itex] contains the elements that are a p-member of [itex](S, d)[/itex]
The universal p-set is then [itex](\varnothing, \mathrm{true})[/itex].
Originally posted by Hurkyl
A p-set is an ordered pair [itex](S, d)[/itex] where we have [itex]\mathrm{Set}(S)[/itex] and [itex]d \in \{\mathrm{true}, \mathrm{false} \}[/itex], and we define p-membership as [itex]a \in_p (S, d) \leftrightarrow a \in S \oplus d[/itex]. (where [itex]\oplus[/itex] is exclusive-or; I didn't want to figure out how to make the usual symbol)
That is, [itex]d[/itex] is a sort of polarity; if [itex]d = \mathrm{true}[/itex], then the "default" value is true, and [itex]S[/itex] contains the elements that aren't a p-member of [itex](S, d)[/itex], and if [itex]d = \mathrm{false}[/itex], then the "default" value is false, and [itex]S[/itex] contains the elements that are a p-member of [itex](S, d)[/itex]
The universal p-set is then [itex](\varnothing, \mathrm{true})[/itex].
Originally posted by Hurkyl
e.g. I can prove the first of these:
Assume [itex]x \in S \wedge S \in x[/itex]. Consider [itex]T := \{S, x\}[/itex]
By the axiom of foundation, one of [itex]S \cap T[/itex] and [itex]x \cap T[/itex] must be the null set.
However, [itex]S \cap T = \{x\}[/itex], and [itex]x \cap T = \{S\}[/itex], which is a contradiction.
Originally posted by Hurkyl
Hrm...
I've found something disturbing about your axiom of subsets:
[tex] \forall a \exists x \forall y:<br /> (y \in_? x \leftrightarrow_+ (y \in_? a \wedge A(y)))[/tex]
Suppose we have said set [itex]x[/itex], and we know that, for a particular [itex]y[/itex], [itex]V(y \in_? a)=T[/itex], and [itex]A(y) = T[/itex]...
We cannot conclude that [itex]V(y \in_? x)=T[/itex]! The axiom is still satisfied if [itex]V(y \in_? x)=M[/itex]... we've obliterated crisp ZF.![]()
In mathematics , a singleton is a set with exactly one element. For example, the set {0} is a singleton. Note that a set such as {{1,2,3}} is also a singleton: the only element is a set (which itself is however not a singleton).
A set is a singleton if and only if its cardinality is 1. In the set-theoretic construction of the natural numbers the number 1 is defined as the singleton {0}.
Structures built on singletons often serve as terminal objects or zero objects of various categories
The statement above shows that every singleton S is a terminal object in the category of sets and functions. No other sets are terminal in that category.
Any singleton can be turned into a topological space in just one way (all subsets are open). These singleton topological spaces are terminal objects in the category of topological spaces and continuous functions. No other spaces are terminal in that category.
Any singleton can be turned into a group in just one way (the unique element serving as identity element These singleton groups are zero objects in the category of groups and group homomorphisms . No other groups are terminal in that category.
Thesis: Scientific objectivity is best characterized by the concept of invariance as explicated in category theory than the concept of truth as explicated in mathematical logic.