User:IssaRice/Strength of a mathematical statement: Difference between revisions

From Machinelearning
No edit summary
Line 1: Line 1:
==Negation==
Negating a strong statement produces a weak statement, and negating a weak statement produces a strong statement. If a statement has strong and weak components, then the flip occurs at each stage. For example, in <math display="inline">\forall x W(x)</math> with <math display="inline">W(x)</math> a weak statement, negating it produces <math display="inline">\exists x \neg W(x)</math>, where the strong <math display="inline">\forall x</math> has become the weak <math display="inline">\exists x</math>, and the weak <math display="inline">W(x)</math> has become a strong <math display="inline">\neg W(x)</math>. See Gowers's posts for more discussion on this.
==Strong vs subset==
==Strong vs subset==


Line 6: Line 10:
* One visualization is to use a Venn diagram. The stronger the statement, the more our movement is restricted, as we are forced to be in more and more sets.
* One visualization is to use a Venn diagram. The stronger the statement, the more our movement is restricted, as we are forced to be in more and more sets.
* When we say a strong statement like <math>\forall x P(x)</math>, we are saying <math>P(x_1) \wedge P(x_2) \wedge \cdots \wedge P(x_n)</math>. When we say a weak statement like <math>\exists x P(x)</math>, we are saying <math>P(x_1) \vee P(x_2) \vee \cdots \vee P(x_n)</math>. It seems like in both cases we are accumulating more and more things.
* When we say a strong statement like <math>\forall x P(x)</math>, we are saying <math>P(x_1) \wedge P(x_2) \wedge \cdots \wedge P(x_n)</math>. When we say a weak statement like <math>\exists x P(x)</math>, we are saying <math>P(x_1) \vee P(x_2) \vee \cdots \vee P(x_n)</math>. It seems like in both cases we are accumulating more and more things.
* In causal inference, I think <math display="inline">X \perp\!\!\!\perp Y\cup W</math> is stronger than <math display="inline">(X \perp\!\!\!\perp Y) \vee (X \perp\!\!\!\perp W)</math>, even though both seem to use a single "or"-type operation.


==External links==
==External links==

Revision as of 19:07, 1 October 2018

Negation

Negating a strong statement produces a weak statement, and negating a weak statement produces a strong statement. If a statement has strong and weak components, then the flip occurs at each stage. For example, in ∀xW(x) with W(x) a weak statement, negating it produces ∃x¬W(x), where the strong ∀x has become the weak ∃x, and the weak W(x) has become a strong ¬W(x). See Gowers's posts for more discussion on this.

Strong vs subset

A puzzle: why do we say P is stronger than Q if P is a subset of Q, but we also say that a theorem is stronger if it is more general (so bigger)?

  • One reply/intuition uses something like possible world semantics, e.g. see Wei Dai's post on Aumann's agreement theorem. There is just one possible world (a single ω∈Ω), but our information state is the set of all possible worlds that we cannot distinguish, so the less we know, the more possible worlds we think we could be in.
  • One visualization is to use a Venn diagram. The stronger the statement, the more our movement is restricted, as we are forced to be in more and more sets.
  • When we say a strong statement like ∀xP(x), we are saying P(x1)∧P(x2)∧⋯∧P(xn). When we say a weak statement like ∃xP(x), we are saying P(x1)∨P(x2)∨⋯∨P(xn). It seems like in both cases we are accumulating more and more things.
  • In causal inference, I think X⊥⊥Y∪W is stronger than (X⊥⊥Y)∨(X⊥⊥W), even though both seem to use a single "or"-type operation.

External links