If Neg B and neg A:[Assumption]
If A or B:[Assumption]
If A:[Assumption]
A
Neg A
Contradiction
If B:
Contradiction
A impies Contradiction
B implies contradiction
@user21820
Its the same thing but know I tell you the stpes
Also my earlier proof was not wrong just some steps were missing if I'm not mistaken
Hi, There is always a tangent at a point parallel to secant adjacent to it. So geometrically it is correct that the limit of the slope of secant is the slope of tangent and so the approximation is converted into instantaneous dy/dx ?
@cOnnectOrTR12 Don't attempt to use geometric intuition when doing real analysis. The only correct approach is via the rigorous definition of the derivative.
@cOnnectOrTR12 Intuitively, yes, the derivative of f at c is the limit of the gradient of the secant to f with one endpoint at (c,f(c)), as the other point goes toward the first point.
@user21820 I am running out of variables while doing long proofs using the "fresh variable" requirement of "∃elim rule". Is there a way to solve this issue?
@Prithubiswas There are 3 ways to solve this problem: (1) As in programming, we can allow multi-character variable names, such as "a1" and "a2" and so on. (2) We can factor out lemmas. (Though in some sense this doesn't solve the problem because we can't copy-paste the lemmas' proofs due to the same restriction.) (3) We can relax the ∃elim rule a bit. I'm seriously considering this last option.
@F.Zer Well in the system I gave, I actually defined "fresh variable" to mean "variable that does not appear in any previous statement", not just in surrounding contexts. In practice, this only poses a problem if in your proof you do many ∃elim steps, which is not typical unless you are writing a gigantic proof without lemmas. I think we can relax that a bit to "variable that does not appear in any statement in the surrounding contexts or in subcontexts of the current context".
This would mean that variables declared via ∃elim in a subcontext would be fresh again once you jump out at least two levels.
Actually there is another possible solution: (4) Make the ∀intro rule stricter so that we can relax the ∃elim rule even more. To understand the issue, consider the following:
Of course, there are many possible ways to evade this problem. I allowed ∀intro to work multiple times after the same "Given ..." subcontext, so that it is user-friendly when getting multiple ∀conclusions from a subcontext. You can ban this just to avoid the above problem, but then the system suffers in usability in other respects.
(The "Let t ..." line is invalid with both the (current) strict ∃elim rule as well as the relaxed rule I cited earlier.)
@cOnnectOrTR12 I should say that the geometric intuition is not really the best way to understand derivatives intuitively. The best way is via the asymptotic behaviour: A function f is differentiable at c iff there is some r such that f(c+t) ∈ f(c) + r·t + o(t) as t → 0. This "o" is little-o notation (see the table of formal definitions of Landau notation at wikipedia).
Fine, that's correct. But next time use either tab or at least 2 spaces for each indent. Also, I asked you to post (P1) and (P2) first. I don't want to see anything else until you post them.
@PaxDaga I want to see the whole proof. You never posted an entire proof of (P1).
@PaxDaga I don't care what you use as long as you produce good work. Your work isn't good. If you refuse to use PN, at least use a normal text editor (even Windows' Notepad will do) and use tab for indentation.
@hyper-neutrino This room is recently getting overrun by people whose behaviour borders on trolling. I may have been too lenient. If this goes on, I will inform the Math SE moderators myself.
@user21820 Ah, I see. Alright. I just came here because of the automatic notification for too many repeated kicks; I'll see myself out then and hopefully the room situation improves.
A∨B∧C ⇔ (A or B) and (A or C)
Proof the of the first direction
If A or B and C:
If A:
A
A or B
A or C
(A or B) and (A or C)
A implies (A or B) and (A or C)
If B and C:
B and C
B
C
A or C
now I replaced it @user21820 please now help me find my mistake in P4
@PaxDaga Wrong. There are 3 errors (1 completely bogus line and 2 missing lines), and your indentation is horrible. Fix them all before posting again. And don't ask me to do anything if you refuse to do (P2) and (P3).
I even told you one of the missing lines before, but you stubbornly ignored it:
And one more missing line was "(A or B) and (A or C)" at the end of the subcontext under "If A or B and C:". Well I guess that counts as a really missing line, though I know that was your goal that so I didn't notice it was missing earlier.
Hi, I am facing with a problem. If I have a set S, how can I "easily" find a vector space V that contains the elements of S that are closed under the XOR operation? With closed I means that all the result of the XOR operation are in V.
I would like to find the biggest vector space V. For example let S = {0000,0011, 1001}, V can be <0000,0011> since 0000 \oplus 0011 = 0011 \in V or <0000,1001> since 0000 \oplus 1001 = 1001 \in V. But V CAN'T BE <0011, 1001> because 0011 \oplus 1001 = 1010 \notin V. Does anyone has any ideas? Thanks in advance
@Mark This doesn't make sense, because you ask for a V that contains S, so why are you trying Vs that do not? Also, why are you looking for the "biggest"?
Are you misinterpreting "V that contains the elements of S"?
@user21820 I ask for a V that contains the element of S that are closed under the XOR operation. Another example in {0,1}^5 could be this: S = {00000,00001,00100,01000,01100,10000,10100,11000,11100} and V (what I want) = {00000,00100,01000,01100,10000,10100,11000,11100} and in other words V is the biggest vector space that is contained in S. This clarifies?
@Mark Ok. So I'll explain why you're wrong. The phrase "vector space V that contains the elements of S" means "vector space V such that the elements of V contains the elements of S". And "contains" and "is contained in" are completely the opposite directions.
@user21820 I have a set S and I want to extract from the elements of S a vector space V, that is a set of points that is closed with respect to the XOR
Hi, I am facing with a problem. If I have a set S, how can I "easily" find a vector space V that contains the elements of S that are closed under the XOR operation? With closed I means that all the result of the XOR operation are in V.
sorry for the misunderstanding. What I want is this: I have a set S and I want to extract from the elements of S a vector space V, that is a set of points that is closed with respect to the XOR. For example let S = {0000,0011, 1001}, V can be <0000,0011> since 0000 \oplus 0011 = 0011 \in V or <0000,1001> since 0000 \oplus 1001 = 1001 \in V
@user2180 Im really sorry for angering you I guess I am bad in logic as I'm a weak student ;is logic really needed for higher level math? I guess ill stop the excersices and focus on other math since I am not good at writing formally.
@PaxDaga Of course basic logic is needed for all mathematics. Otherwise I wouldn't be spending hours trying to convince you to learn it. Do you think I enjoy spending my time like this? Whether you want to learn basic logic or not is your free choice. Whether I want to teach you is also my free choice. I will not teach you if you refuse to learn what is crucial for mathematical understanding, and that's final.
@Mark Then your "vector space V that contains the elements of S" in your original question is wrong. But in your new question, there may not be a unique answer because what you are looking for is a maximal subset of S that is closed under ⊕. However, it is possible that there are distinct maximal subsets.
@Mark But as I said it is a trivial theorem, especially if your S is finite. Just start with T = ∅, and go through the members of S one by one and add it to T iff the ⊕-closure of the result is still a subset of S. At the end you will have a ⊕-maximal subset of S. I leave it as an exercise for you to prove.
There's no need to cite trivial theorems like this one, nor any need to even find it in the literature.
What I just said still works if your S is countably infinite. But if you want to prove it for potentially uncountable S, then you need to tell me how much mathematics and set theory you know.
@user21820 S is finite. The problem (for me) is that this algorithm depends on the order in which the members of S are considered. For example S = {00000,00001,00100,01000,01100,10000,10100,11000,11100}. If I bring into T 00000 and 00001, as consequence, T cannot be extended further, so |T| = 2, while I know that the $\oplus$-maximal subset of S is |T| = 8
@Mark Maximal subsets need not have the same size. From that last sentence, it seems you want a subset with maximum size, not a maximal subset. But it's still a trivial theorem, because you said S is finite, so there are finitely many ⊕-closed subsets of S and obviously their sizes has a maximum.
@user21820 I am looking for the subset with maximum size (if there are distinct maximal subset with the same maximum size it doesn't matter which one will be extracted)
Anyway it's still easy. You can use the method for maximal subset, but with backtracking. If you think carefully, you should be able to figure out how to get a quadratic-time algorithm, because the depth of the recursion is just log(n) and each node takes O(n) time to expand the current set to a ⊕-closed set including any added element.
Hold on. Maybe not quadratic-time. I'll need to think more. But it's certainly bounded by O( n^log(n) ).
@user21820 this approach is very similar to an exhaustive one, and it is too expensive. For this reason I was referring to some theorem / proof existing in the literature but I couldn't find anything
@user21820 Thankyou for your comment there now I am even more confused two high rep users have condradicted each other can you please exlapin why its wrong
If neg A and neg B:
neg A and neg B[Restate]
neg A [and elim]
neg B.[and elim]
If A:
A [restate]
neg A [restate]
Contradiction [neg elim]
If B:
B [restate]
neg B [restate]
Contradiction [neg elim]
A implies Contradiction
B implies Contradiction
(A or B) implies contradiction[or elim]
neg(A or B) [neg intro]