Schur-convexity of multinomial distribution











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Consider ${p_i in [0,c]}_i$, $c<1$, such that $sum_{i=1}^{k} p_i = P$ for some positive $k>2$ and constant $P < 1$. Let $(x_i in mathbb{N})_i$. Is
$$f(p_1,ldots,p_k)
= sum_{x_1,x_2,ldots,x_k=0}^{c} frac{p_1^{x_1}}{x_1} frac{p_2^{x_2}}{x_2!}
cdots
frac{p_k^{x_k}}{x_k!}
$$

Schur-concave in ${p_i}$?
The function is symmetric, but it is a bit hard to check the cond $partial f/partial p_i - partial f/partial p_j$. Any suggestion?



PS: The function is similar to the marginal of a Multinomial distribution.










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  • What is the domain of $f$? Positive or also negative input?
    – LinAlg
    15 hours ago










  • edited the question accordingly. ${p_i}'s$ are probability simplex.
    – Jeff
    14 hours ago










  • then the answer is trivial, right?
    – LinAlg
    14 hours ago










  • you were right. Actually, it should be Schur-concave, and also I had a summation, which was missing in the original question. Now, it is not trivial to me whether it is Schur-concave or not...
    – Jeff
    10 hours ago















up vote
0
down vote

favorite












Consider ${p_i in [0,c]}_i$, $c<1$, such that $sum_{i=1}^{k} p_i = P$ for some positive $k>2$ and constant $P < 1$. Let $(x_i in mathbb{N})_i$. Is
$$f(p_1,ldots,p_k)
= sum_{x_1,x_2,ldots,x_k=0}^{c} frac{p_1^{x_1}}{x_1} frac{p_2^{x_2}}{x_2!}
cdots
frac{p_k^{x_k}}{x_k!}
$$

Schur-concave in ${p_i}$?
The function is symmetric, but it is a bit hard to check the cond $partial f/partial p_i - partial f/partial p_j$. Any suggestion?



PS: The function is similar to the marginal of a Multinomial distribution.










share|cite|improve this question
























  • What is the domain of $f$? Positive or also negative input?
    – LinAlg
    15 hours ago










  • edited the question accordingly. ${p_i}'s$ are probability simplex.
    – Jeff
    14 hours ago










  • then the answer is trivial, right?
    – LinAlg
    14 hours ago










  • you were right. Actually, it should be Schur-concave, and also I had a summation, which was missing in the original question. Now, it is not trivial to me whether it is Schur-concave or not...
    – Jeff
    10 hours ago













up vote
0
down vote

favorite









up vote
0
down vote

favorite











Consider ${p_i in [0,c]}_i$, $c<1$, such that $sum_{i=1}^{k} p_i = P$ for some positive $k>2$ and constant $P < 1$. Let $(x_i in mathbb{N})_i$. Is
$$f(p_1,ldots,p_k)
= sum_{x_1,x_2,ldots,x_k=0}^{c} frac{p_1^{x_1}}{x_1} frac{p_2^{x_2}}{x_2!}
cdots
frac{p_k^{x_k}}{x_k!}
$$

Schur-concave in ${p_i}$?
The function is symmetric, but it is a bit hard to check the cond $partial f/partial p_i - partial f/partial p_j$. Any suggestion?



PS: The function is similar to the marginal of a Multinomial distribution.










share|cite|improve this question















Consider ${p_i in [0,c]}_i$, $c<1$, such that $sum_{i=1}^{k} p_i = P$ for some positive $k>2$ and constant $P < 1$. Let $(x_i in mathbb{N})_i$. Is
$$f(p_1,ldots,p_k)
= sum_{x_1,x_2,ldots,x_k=0}^{c} frac{p_1^{x_1}}{x_1} frac{p_2^{x_2}}{x_2!}
cdots
frac{p_k^{x_k}}{x_k!}
$$

Schur-concave in ${p_i}$?
The function is symmetric, but it is a bit hard to check the cond $partial f/partial p_i - partial f/partial p_j$. Any suggestion?



PS: The function is similar to the marginal of a Multinomial distribution.







statistics convex-analysis convex-optimization






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share|cite|improve this question













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share|cite|improve this question








edited 10 hours ago

























asked 15 hours ago









Jeff

1788




1788












  • What is the domain of $f$? Positive or also negative input?
    – LinAlg
    15 hours ago










  • edited the question accordingly. ${p_i}'s$ are probability simplex.
    – Jeff
    14 hours ago










  • then the answer is trivial, right?
    – LinAlg
    14 hours ago










  • you were right. Actually, it should be Schur-concave, and also I had a summation, which was missing in the original question. Now, it is not trivial to me whether it is Schur-concave or not...
    – Jeff
    10 hours ago


















  • What is the domain of $f$? Positive or also negative input?
    – LinAlg
    15 hours ago










  • edited the question accordingly. ${p_i}'s$ are probability simplex.
    – Jeff
    14 hours ago










  • then the answer is trivial, right?
    – LinAlg
    14 hours ago










  • you were right. Actually, it should be Schur-concave, and also I had a summation, which was missing in the original question. Now, it is not trivial to me whether it is Schur-concave or not...
    – Jeff
    10 hours ago
















What is the domain of $f$? Positive or also negative input?
– LinAlg
15 hours ago




What is the domain of $f$? Positive or also negative input?
– LinAlg
15 hours ago












edited the question accordingly. ${p_i}'s$ are probability simplex.
– Jeff
14 hours ago




edited the question accordingly. ${p_i}'s$ are probability simplex.
– Jeff
14 hours ago












then the answer is trivial, right?
– LinAlg
14 hours ago




then the answer is trivial, right?
– LinAlg
14 hours ago












you were right. Actually, it should be Schur-concave, and also I had a summation, which was missing in the original question. Now, it is not trivial to me whether it is Schur-concave or not...
– Jeff
10 hours ago




you were right. Actually, it should be Schur-concave, and also I had a summation, which was missing in the original question. Now, it is not trivial to me whether it is Schur-concave or not...
– Jeff
10 hours ago















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