$int x^k dmu(x)geq0$ for $k$ even?












0














I am studying convex optimization, and the truncated moment problem is being discussed. I have no background in measure theory so I don't understand things taken for granted such as $$int x^k dmu(x)geq0 text{ for }ktext{ even}.$$
Could someone explain how this is true? I attempt to evaluate by doing:
$$
begin{align}
int x^k dmu(x)&=
int x^kmu'(x) dx
end{align}
$$

which seems like I could pick any $mu'(x)$ and force the integral to be $<0$. Is there perhaps some restraint on $mu$ that can be explained?










share|cite|improve this question






















  • The integral of a non-negative function is non-negative, i.e $$f geq 0 implies int f(x) , dmu(x) geq 0.$$ Note that $f(x) := x^k$ is non-negative for even $k$.
    – saz
    Dec 3 '18 at 20:59












  • @saz what if we let $mu(x)=-x$? Because then $$int f(x) dmu(x) = int -f(x) dx leq 0$$
    – Dan
    Dec 3 '18 at 21:07










  • Well, I was indeed assuming that you are talking about non-negative measures
    – saz
    Dec 3 '18 at 21:08












  • @saz I don't know anything about measure theory but I assume you are correct. Are there typical such restrictions on $mu(x)$? For example, if we have $mu(x)=x^{k}$, then $$int x^k dmu(x)=int x^k k x^{k-1} dxpropto int x^{2k-1} dx,$$ which is an integral of an odd function.
    – Dan
    Dec 3 '18 at 21:12












  • You will need to specify the domain of integration. The statement $dmu(x) = k x^{k-1} , dx$ is only true for $x geq 0$.
    – saz
    Dec 3 '18 at 21:17
















0














I am studying convex optimization, and the truncated moment problem is being discussed. I have no background in measure theory so I don't understand things taken for granted such as $$int x^k dmu(x)geq0 text{ for }ktext{ even}.$$
Could someone explain how this is true? I attempt to evaluate by doing:
$$
begin{align}
int x^k dmu(x)&=
int x^kmu'(x) dx
end{align}
$$

which seems like I could pick any $mu'(x)$ and force the integral to be $<0$. Is there perhaps some restraint on $mu$ that can be explained?










share|cite|improve this question






















  • The integral of a non-negative function is non-negative, i.e $$f geq 0 implies int f(x) , dmu(x) geq 0.$$ Note that $f(x) := x^k$ is non-negative for even $k$.
    – saz
    Dec 3 '18 at 20:59












  • @saz what if we let $mu(x)=-x$? Because then $$int f(x) dmu(x) = int -f(x) dx leq 0$$
    – Dan
    Dec 3 '18 at 21:07










  • Well, I was indeed assuming that you are talking about non-negative measures
    – saz
    Dec 3 '18 at 21:08












  • @saz I don't know anything about measure theory but I assume you are correct. Are there typical such restrictions on $mu(x)$? For example, if we have $mu(x)=x^{k}$, then $$int x^k dmu(x)=int x^k k x^{k-1} dxpropto int x^{2k-1} dx,$$ which is an integral of an odd function.
    – Dan
    Dec 3 '18 at 21:12












  • You will need to specify the domain of integration. The statement $dmu(x) = k x^{k-1} , dx$ is only true for $x geq 0$.
    – saz
    Dec 3 '18 at 21:17














0












0








0







I am studying convex optimization, and the truncated moment problem is being discussed. I have no background in measure theory so I don't understand things taken for granted such as $$int x^k dmu(x)geq0 text{ for }ktext{ even}.$$
Could someone explain how this is true? I attempt to evaluate by doing:
$$
begin{align}
int x^k dmu(x)&=
int x^kmu'(x) dx
end{align}
$$

which seems like I could pick any $mu'(x)$ and force the integral to be $<0$. Is there perhaps some restraint on $mu$ that can be explained?










share|cite|improve this question













I am studying convex optimization, and the truncated moment problem is being discussed. I have no background in measure theory so I don't understand things taken for granted such as $$int x^k dmu(x)geq0 text{ for }ktext{ even}.$$
Could someone explain how this is true? I attempt to evaluate by doing:
$$
begin{align}
int x^k dmu(x)&=
int x^kmu'(x) dx
end{align}
$$

which seems like I could pick any $mu'(x)$ and force the integral to be $<0$. Is there perhaps some restraint on $mu$ that can be explained?







measure-theory convex-optimization moment-problem






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Dec 3 '18 at 20:51









Dan

276




276












  • The integral of a non-negative function is non-negative, i.e $$f geq 0 implies int f(x) , dmu(x) geq 0.$$ Note that $f(x) := x^k$ is non-negative for even $k$.
    – saz
    Dec 3 '18 at 20:59












  • @saz what if we let $mu(x)=-x$? Because then $$int f(x) dmu(x) = int -f(x) dx leq 0$$
    – Dan
    Dec 3 '18 at 21:07










  • Well, I was indeed assuming that you are talking about non-negative measures
    – saz
    Dec 3 '18 at 21:08












  • @saz I don't know anything about measure theory but I assume you are correct. Are there typical such restrictions on $mu(x)$? For example, if we have $mu(x)=x^{k}$, then $$int x^k dmu(x)=int x^k k x^{k-1} dxpropto int x^{2k-1} dx,$$ which is an integral of an odd function.
    – Dan
    Dec 3 '18 at 21:12












  • You will need to specify the domain of integration. The statement $dmu(x) = k x^{k-1} , dx$ is only true for $x geq 0$.
    – saz
    Dec 3 '18 at 21:17


















  • The integral of a non-negative function is non-negative, i.e $$f geq 0 implies int f(x) , dmu(x) geq 0.$$ Note that $f(x) := x^k$ is non-negative for even $k$.
    – saz
    Dec 3 '18 at 20:59












  • @saz what if we let $mu(x)=-x$? Because then $$int f(x) dmu(x) = int -f(x) dx leq 0$$
    – Dan
    Dec 3 '18 at 21:07










  • Well, I was indeed assuming that you are talking about non-negative measures
    – saz
    Dec 3 '18 at 21:08












  • @saz I don't know anything about measure theory but I assume you are correct. Are there typical such restrictions on $mu(x)$? For example, if we have $mu(x)=x^{k}$, then $$int x^k dmu(x)=int x^k k x^{k-1} dxpropto int x^{2k-1} dx,$$ which is an integral of an odd function.
    – Dan
    Dec 3 '18 at 21:12












  • You will need to specify the domain of integration. The statement $dmu(x) = k x^{k-1} , dx$ is only true for $x geq 0$.
    – saz
    Dec 3 '18 at 21:17
















The integral of a non-negative function is non-negative, i.e $$f geq 0 implies int f(x) , dmu(x) geq 0.$$ Note that $f(x) := x^k$ is non-negative for even $k$.
– saz
Dec 3 '18 at 20:59






The integral of a non-negative function is non-negative, i.e $$f geq 0 implies int f(x) , dmu(x) geq 0.$$ Note that $f(x) := x^k$ is non-negative for even $k$.
– saz
Dec 3 '18 at 20:59














@saz what if we let $mu(x)=-x$? Because then $$int f(x) dmu(x) = int -f(x) dx leq 0$$
– Dan
Dec 3 '18 at 21:07




@saz what if we let $mu(x)=-x$? Because then $$int f(x) dmu(x) = int -f(x) dx leq 0$$
– Dan
Dec 3 '18 at 21:07












Well, I was indeed assuming that you are talking about non-negative measures
– saz
Dec 3 '18 at 21:08






Well, I was indeed assuming that you are talking about non-negative measures
– saz
Dec 3 '18 at 21:08














@saz I don't know anything about measure theory but I assume you are correct. Are there typical such restrictions on $mu(x)$? For example, if we have $mu(x)=x^{k}$, then $$int x^k dmu(x)=int x^k k x^{k-1} dxpropto int x^{2k-1} dx,$$ which is an integral of an odd function.
– Dan
Dec 3 '18 at 21:12






@saz I don't know anything about measure theory but I assume you are correct. Are there typical such restrictions on $mu(x)$? For example, if we have $mu(x)=x^{k}$, then $$int x^k dmu(x)=int x^k k x^{k-1} dxpropto int x^{2k-1} dx,$$ which is an integral of an odd function.
– Dan
Dec 3 '18 at 21:12














You will need to specify the domain of integration. The statement $dmu(x) = k x^{k-1} , dx$ is only true for $x geq 0$.
– saz
Dec 3 '18 at 21:17




You will need to specify the domain of integration. The statement $dmu(x) = k x^{k-1} , dx$ is only true for $x geq 0$.
– saz
Dec 3 '18 at 21:17










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