Using a matroid to model emotional temperament.












0












$begingroup$


An idiot crank devised a model of emotional temperament using a bitmask, $XYZ$. $X$ represent the bit that means "able to handle extreme negative emotions." $Y$ represents the bit that means "able to handle neutral emotions" (e.g. boredom, interest, contentment). $Z$ represents the bit that means "able to handle extreme positive emotions." So in this model a human could have the following eight emotional temperaments.





  • $000$: can't handle any emotions.


  • $001$: can only handle extreme happiness (manic temperament).


  • $010$: can only handle neutral emotions.


  • $011$: can handle both neutral emotions and extreme happiness, but not negative emotions.


  • $100$: can handle only extreme negative emotions (depressive temperament).


  • $101$: can handle either extreme negative emotions or extreme positive emotions, but not neutral ones (bipolar temperament).


  • $110$: can handle both extreme negative emotions and neutral emotions, but not extreme happiness.


  • $111$: can handle the entire emotional spectrum.


For the transition ${000} to {100, 010, 001}$ this model behaves like a matroid because you only need to learn one more temperament to advance to the next level. For the transition ${100, 010, 001} to {110, 101, 011
}$
this model still behaves like a matroid because you only need to learn one more temperament to advance to the next level. But for the transition ${100, 010, 001} to {111}$ this model does not behave like a matroid, because, for example, a person who is $011$ temperament would need to learn three temperaments ($100$, $110$, $101$) to advance to the next level. Is there a way to fix this model so that it is turned into a matroid?










share|cite|improve this question









$endgroup$








  • 2




    $begingroup$
    What do you mean by "behaves like a matroid"? Also, who is the crank? Can we get a reference?
    $endgroup$
    – Aaron Dall
    Dec 9 '18 at 21:20










  • $begingroup$
    @AaronDall if you really insist on a reference: 72archetypes.com/wiki/table_formats You should know that he reverses it. XYZ in my post corresponds to {-3, -2} {-1, 0, 1} {2, 3} while his goes {3, 2} {1, 0, -1} {-2, -3}. Mine corresponds to the number line. That's why it is the way it is: so the isomorphism to the number line is preserved.
    $endgroup$
    – Tomislav Ostojich
    Dec 9 '18 at 23:36










  • $begingroup$
    @AaronDall my intuitive understanding of a matroid is that it's a structure on which "greedy" algorithms work. You can add bit by bit and get the optimal situation.
    $endgroup$
    – Tomislav Ostojich
    Dec 10 '18 at 0:47










  • $begingroup$
    Let's put intuition aside and get concrete. A matroid is a pair $(E, I)$ where $E$ is a finite set (the ground set) and $I$ is a collection of subsets of $E$ (the independent sets of the matroid) such that for any weight function $w$ on $E$ the greedy algorithm selects a cardinality maximal element of $I$ that is also $w$-maximal. What is the ground set you're considering? Is it $E = {1,2,3}$? What are the independent sets you are considering? Is it all subsets of $E$?
    $endgroup$
    – Aaron Dall
    Dec 11 '18 at 8:52










  • $begingroup$
    @AaronDall Yes and yes.
    $endgroup$
    – Tomislav Ostojich
    Dec 11 '18 at 18:25
















0












$begingroup$


An idiot crank devised a model of emotional temperament using a bitmask, $XYZ$. $X$ represent the bit that means "able to handle extreme negative emotions." $Y$ represents the bit that means "able to handle neutral emotions" (e.g. boredom, interest, contentment). $Z$ represents the bit that means "able to handle extreme positive emotions." So in this model a human could have the following eight emotional temperaments.





  • $000$: can't handle any emotions.


  • $001$: can only handle extreme happiness (manic temperament).


  • $010$: can only handle neutral emotions.


  • $011$: can handle both neutral emotions and extreme happiness, but not negative emotions.


  • $100$: can handle only extreme negative emotions (depressive temperament).


  • $101$: can handle either extreme negative emotions or extreme positive emotions, but not neutral ones (bipolar temperament).


  • $110$: can handle both extreme negative emotions and neutral emotions, but not extreme happiness.


  • $111$: can handle the entire emotional spectrum.


For the transition ${000} to {100, 010, 001}$ this model behaves like a matroid because you only need to learn one more temperament to advance to the next level. For the transition ${100, 010, 001} to {110, 101, 011
}$
this model still behaves like a matroid because you only need to learn one more temperament to advance to the next level. But for the transition ${100, 010, 001} to {111}$ this model does not behave like a matroid, because, for example, a person who is $011$ temperament would need to learn three temperaments ($100$, $110$, $101$) to advance to the next level. Is there a way to fix this model so that it is turned into a matroid?










share|cite|improve this question









$endgroup$








  • 2




    $begingroup$
    What do you mean by "behaves like a matroid"? Also, who is the crank? Can we get a reference?
    $endgroup$
    – Aaron Dall
    Dec 9 '18 at 21:20










  • $begingroup$
    @AaronDall if you really insist on a reference: 72archetypes.com/wiki/table_formats You should know that he reverses it. XYZ in my post corresponds to {-3, -2} {-1, 0, 1} {2, 3} while his goes {3, 2} {1, 0, -1} {-2, -3}. Mine corresponds to the number line. That's why it is the way it is: so the isomorphism to the number line is preserved.
    $endgroup$
    – Tomislav Ostojich
    Dec 9 '18 at 23:36










  • $begingroup$
    @AaronDall my intuitive understanding of a matroid is that it's a structure on which "greedy" algorithms work. You can add bit by bit and get the optimal situation.
    $endgroup$
    – Tomislav Ostojich
    Dec 10 '18 at 0:47










  • $begingroup$
    Let's put intuition aside and get concrete. A matroid is a pair $(E, I)$ where $E$ is a finite set (the ground set) and $I$ is a collection of subsets of $E$ (the independent sets of the matroid) such that for any weight function $w$ on $E$ the greedy algorithm selects a cardinality maximal element of $I$ that is also $w$-maximal. What is the ground set you're considering? Is it $E = {1,2,3}$? What are the independent sets you are considering? Is it all subsets of $E$?
    $endgroup$
    – Aaron Dall
    Dec 11 '18 at 8:52










  • $begingroup$
    @AaronDall Yes and yes.
    $endgroup$
    – Tomislav Ostojich
    Dec 11 '18 at 18:25














0












0








0





$begingroup$


An idiot crank devised a model of emotional temperament using a bitmask, $XYZ$. $X$ represent the bit that means "able to handle extreme negative emotions." $Y$ represents the bit that means "able to handle neutral emotions" (e.g. boredom, interest, contentment). $Z$ represents the bit that means "able to handle extreme positive emotions." So in this model a human could have the following eight emotional temperaments.





  • $000$: can't handle any emotions.


  • $001$: can only handle extreme happiness (manic temperament).


  • $010$: can only handle neutral emotions.


  • $011$: can handle both neutral emotions and extreme happiness, but not negative emotions.


  • $100$: can handle only extreme negative emotions (depressive temperament).


  • $101$: can handle either extreme negative emotions or extreme positive emotions, but not neutral ones (bipolar temperament).


  • $110$: can handle both extreme negative emotions and neutral emotions, but not extreme happiness.


  • $111$: can handle the entire emotional spectrum.


For the transition ${000} to {100, 010, 001}$ this model behaves like a matroid because you only need to learn one more temperament to advance to the next level. For the transition ${100, 010, 001} to {110, 101, 011
}$
this model still behaves like a matroid because you only need to learn one more temperament to advance to the next level. But for the transition ${100, 010, 001} to {111}$ this model does not behave like a matroid, because, for example, a person who is $011$ temperament would need to learn three temperaments ($100$, $110$, $101$) to advance to the next level. Is there a way to fix this model so that it is turned into a matroid?










share|cite|improve this question









$endgroup$




An idiot crank devised a model of emotional temperament using a bitmask, $XYZ$. $X$ represent the bit that means "able to handle extreme negative emotions." $Y$ represents the bit that means "able to handle neutral emotions" (e.g. boredom, interest, contentment). $Z$ represents the bit that means "able to handle extreme positive emotions." So in this model a human could have the following eight emotional temperaments.





  • $000$: can't handle any emotions.


  • $001$: can only handle extreme happiness (manic temperament).


  • $010$: can only handle neutral emotions.


  • $011$: can handle both neutral emotions and extreme happiness, but not negative emotions.


  • $100$: can handle only extreme negative emotions (depressive temperament).


  • $101$: can handle either extreme negative emotions or extreme positive emotions, but not neutral ones (bipolar temperament).


  • $110$: can handle both extreme negative emotions and neutral emotions, but not extreme happiness.


  • $111$: can handle the entire emotional spectrum.


For the transition ${000} to {100, 010, 001}$ this model behaves like a matroid because you only need to learn one more temperament to advance to the next level. For the transition ${100, 010, 001} to {110, 101, 011
}$
this model still behaves like a matroid because you only need to learn one more temperament to advance to the next level. But for the transition ${100, 010, 001} to {111}$ this model does not behave like a matroid, because, for example, a person who is $011$ temperament would need to learn three temperaments ($100$, $110$, $101$) to advance to the next level. Is there a way to fix this model so that it is turned into a matroid?







matroids






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asked Dec 7 '18 at 3:45









Tomislav OstojichTomislav Ostojich

614414




614414








  • 2




    $begingroup$
    What do you mean by "behaves like a matroid"? Also, who is the crank? Can we get a reference?
    $endgroup$
    – Aaron Dall
    Dec 9 '18 at 21:20










  • $begingroup$
    @AaronDall if you really insist on a reference: 72archetypes.com/wiki/table_formats You should know that he reverses it. XYZ in my post corresponds to {-3, -2} {-1, 0, 1} {2, 3} while his goes {3, 2} {1, 0, -1} {-2, -3}. Mine corresponds to the number line. That's why it is the way it is: so the isomorphism to the number line is preserved.
    $endgroup$
    – Tomislav Ostojich
    Dec 9 '18 at 23:36










  • $begingroup$
    @AaronDall my intuitive understanding of a matroid is that it's a structure on which "greedy" algorithms work. You can add bit by bit and get the optimal situation.
    $endgroup$
    – Tomislav Ostojich
    Dec 10 '18 at 0:47










  • $begingroup$
    Let's put intuition aside and get concrete. A matroid is a pair $(E, I)$ where $E$ is a finite set (the ground set) and $I$ is a collection of subsets of $E$ (the independent sets of the matroid) such that for any weight function $w$ on $E$ the greedy algorithm selects a cardinality maximal element of $I$ that is also $w$-maximal. What is the ground set you're considering? Is it $E = {1,2,3}$? What are the independent sets you are considering? Is it all subsets of $E$?
    $endgroup$
    – Aaron Dall
    Dec 11 '18 at 8:52










  • $begingroup$
    @AaronDall Yes and yes.
    $endgroup$
    – Tomislav Ostojich
    Dec 11 '18 at 18:25














  • 2




    $begingroup$
    What do you mean by "behaves like a matroid"? Also, who is the crank? Can we get a reference?
    $endgroup$
    – Aaron Dall
    Dec 9 '18 at 21:20










  • $begingroup$
    @AaronDall if you really insist on a reference: 72archetypes.com/wiki/table_formats You should know that he reverses it. XYZ in my post corresponds to {-3, -2} {-1, 0, 1} {2, 3} while his goes {3, 2} {1, 0, -1} {-2, -3}. Mine corresponds to the number line. That's why it is the way it is: so the isomorphism to the number line is preserved.
    $endgroup$
    – Tomislav Ostojich
    Dec 9 '18 at 23:36










  • $begingroup$
    @AaronDall my intuitive understanding of a matroid is that it's a structure on which "greedy" algorithms work. You can add bit by bit and get the optimal situation.
    $endgroup$
    – Tomislav Ostojich
    Dec 10 '18 at 0:47










  • $begingroup$
    Let's put intuition aside and get concrete. A matroid is a pair $(E, I)$ where $E$ is a finite set (the ground set) and $I$ is a collection of subsets of $E$ (the independent sets of the matroid) such that for any weight function $w$ on $E$ the greedy algorithm selects a cardinality maximal element of $I$ that is also $w$-maximal. What is the ground set you're considering? Is it $E = {1,2,3}$? What are the independent sets you are considering? Is it all subsets of $E$?
    $endgroup$
    – Aaron Dall
    Dec 11 '18 at 8:52










  • $begingroup$
    @AaronDall Yes and yes.
    $endgroup$
    – Tomislav Ostojich
    Dec 11 '18 at 18:25








2




2




$begingroup$
What do you mean by "behaves like a matroid"? Also, who is the crank? Can we get a reference?
$endgroup$
– Aaron Dall
Dec 9 '18 at 21:20




$begingroup$
What do you mean by "behaves like a matroid"? Also, who is the crank? Can we get a reference?
$endgroup$
– Aaron Dall
Dec 9 '18 at 21:20












$begingroup$
@AaronDall if you really insist on a reference: 72archetypes.com/wiki/table_formats You should know that he reverses it. XYZ in my post corresponds to {-3, -2} {-1, 0, 1} {2, 3} while his goes {3, 2} {1, 0, -1} {-2, -3}. Mine corresponds to the number line. That's why it is the way it is: so the isomorphism to the number line is preserved.
$endgroup$
– Tomislav Ostojich
Dec 9 '18 at 23:36




$begingroup$
@AaronDall if you really insist on a reference: 72archetypes.com/wiki/table_formats You should know that he reverses it. XYZ in my post corresponds to {-3, -2} {-1, 0, 1} {2, 3} while his goes {3, 2} {1, 0, -1} {-2, -3}. Mine corresponds to the number line. That's why it is the way it is: so the isomorphism to the number line is preserved.
$endgroup$
– Tomislav Ostojich
Dec 9 '18 at 23:36












$begingroup$
@AaronDall my intuitive understanding of a matroid is that it's a structure on which "greedy" algorithms work. You can add bit by bit and get the optimal situation.
$endgroup$
– Tomislav Ostojich
Dec 10 '18 at 0:47




$begingroup$
@AaronDall my intuitive understanding of a matroid is that it's a structure on which "greedy" algorithms work. You can add bit by bit and get the optimal situation.
$endgroup$
– Tomislav Ostojich
Dec 10 '18 at 0:47












$begingroup$
Let's put intuition aside and get concrete. A matroid is a pair $(E, I)$ where $E$ is a finite set (the ground set) and $I$ is a collection of subsets of $E$ (the independent sets of the matroid) such that for any weight function $w$ on $E$ the greedy algorithm selects a cardinality maximal element of $I$ that is also $w$-maximal. What is the ground set you're considering? Is it $E = {1,2,3}$? What are the independent sets you are considering? Is it all subsets of $E$?
$endgroup$
– Aaron Dall
Dec 11 '18 at 8:52




$begingroup$
Let's put intuition aside and get concrete. A matroid is a pair $(E, I)$ where $E$ is a finite set (the ground set) and $I$ is a collection of subsets of $E$ (the independent sets of the matroid) such that for any weight function $w$ on $E$ the greedy algorithm selects a cardinality maximal element of $I$ that is also $w$-maximal. What is the ground set you're considering? Is it $E = {1,2,3}$? What are the independent sets you are considering? Is it all subsets of $E$?
$endgroup$
– Aaron Dall
Dec 11 '18 at 8:52












$begingroup$
@AaronDall Yes and yes.
$endgroup$
– Tomislav Ostojich
Dec 11 '18 at 18:25




$begingroup$
@AaronDall Yes and yes.
$endgroup$
– Tomislav Ostojich
Dec 11 '18 at 18:25










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