Can Iverson brackets be thought of as returning probabilities?












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An Iverson bracket provides a way to take a formula with a truth value and translate it back into a number. This can simplify some things like summation bounds and integral bounds.



Here an upper bound of $100$ is written with an Iverson bracket, the expression $[i le 100]$ evaluates to $1$ if $i$ is less than or equal to $100$ and $0$ otherwise.



$$ sum_{i=0}^{100} f(n) = sum_{i in mathbb{N}}[i le 100]f(n) tag{1} $$



I can think of another circumstance where it's common to convert something resembling a proposition to a number, the probability of operator $mathbb{P}[dots]$ , e.g.



$$ mathbb{P}[lnot psi] = 1-mathbb{P}[psi] tag{2} $$



Is it right to think of $mathbb{P}[dots]$ as a conservative extension of $[dots]$? In cases where the random variables are not involved in the argument to the bracket, the probability must be $0$ or $1$ . This makes it easy to do nifty things like define the pdf in terms of a random variable:



$$ mathrm{pdf}_Y(s) stackrel{df}{=} frac{mathrm{d},[Y le s]}{mathrm{d}s} tag{3} $$



Are there any pitfalls or hidden subtleties to thinking of an Iverson bracket this way / extending the notion of an Iverson bracket to expressions with probabilities rather than crisp truth values?










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    $begingroup$


    An Iverson bracket provides a way to take a formula with a truth value and translate it back into a number. This can simplify some things like summation bounds and integral bounds.



    Here an upper bound of $100$ is written with an Iverson bracket, the expression $[i le 100]$ evaluates to $1$ if $i$ is less than or equal to $100$ and $0$ otherwise.



    $$ sum_{i=0}^{100} f(n) = sum_{i in mathbb{N}}[i le 100]f(n) tag{1} $$



    I can think of another circumstance where it's common to convert something resembling a proposition to a number, the probability of operator $mathbb{P}[dots]$ , e.g.



    $$ mathbb{P}[lnot psi] = 1-mathbb{P}[psi] tag{2} $$



    Is it right to think of $mathbb{P}[dots]$ as a conservative extension of $[dots]$? In cases where the random variables are not involved in the argument to the bracket, the probability must be $0$ or $1$ . This makes it easy to do nifty things like define the pdf in terms of a random variable:



    $$ mathrm{pdf}_Y(s) stackrel{df}{=} frac{mathrm{d},[Y le s]}{mathrm{d}s} tag{3} $$



    Are there any pitfalls or hidden subtleties to thinking of an Iverson bracket this way / extending the notion of an Iverson bracket to expressions with probabilities rather than crisp truth values?










    share|cite|improve this question









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      0








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      $begingroup$


      An Iverson bracket provides a way to take a formula with a truth value and translate it back into a number. This can simplify some things like summation bounds and integral bounds.



      Here an upper bound of $100$ is written with an Iverson bracket, the expression $[i le 100]$ evaluates to $1$ if $i$ is less than or equal to $100$ and $0$ otherwise.



      $$ sum_{i=0}^{100} f(n) = sum_{i in mathbb{N}}[i le 100]f(n) tag{1} $$



      I can think of another circumstance where it's common to convert something resembling a proposition to a number, the probability of operator $mathbb{P}[dots]$ , e.g.



      $$ mathbb{P}[lnot psi] = 1-mathbb{P}[psi] tag{2} $$



      Is it right to think of $mathbb{P}[dots]$ as a conservative extension of $[dots]$? In cases where the random variables are not involved in the argument to the bracket, the probability must be $0$ or $1$ . This makes it easy to do nifty things like define the pdf in terms of a random variable:



      $$ mathrm{pdf}_Y(s) stackrel{df}{=} frac{mathrm{d},[Y le s]}{mathrm{d}s} tag{3} $$



      Are there any pitfalls or hidden subtleties to thinking of an Iverson bracket this way / extending the notion of an Iverson bracket to expressions with probabilities rather than crisp truth values?










      share|cite|improve this question









      $endgroup$




      An Iverson bracket provides a way to take a formula with a truth value and translate it back into a number. This can simplify some things like summation bounds and integral bounds.



      Here an upper bound of $100$ is written with an Iverson bracket, the expression $[i le 100]$ evaluates to $1$ if $i$ is less than or equal to $100$ and $0$ otherwise.



      $$ sum_{i=0}^{100} f(n) = sum_{i in mathbb{N}}[i le 100]f(n) tag{1} $$



      I can think of another circumstance where it's common to convert something resembling a proposition to a number, the probability of operator $mathbb{P}[dots]$ , e.g.



      $$ mathbb{P}[lnot psi] = 1-mathbb{P}[psi] tag{2} $$



      Is it right to think of $mathbb{P}[dots]$ as a conservative extension of $[dots]$? In cases where the random variables are not involved in the argument to the bracket, the probability must be $0$ or $1$ . This makes it easy to do nifty things like define the pdf in terms of a random variable:



      $$ mathrm{pdf}_Y(s) stackrel{df}{=} frac{mathrm{d},[Y le s]}{mathrm{d}s} tag{3} $$



      Are there any pitfalls or hidden subtleties to thinking of an Iverson bracket this way / extending the notion of an Iverson bracket to expressions with probabilities rather than crisp truth values?







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      asked Dec 25 '18 at 0:38









      Gregory NisbetGregory Nisbet

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