Integration in $mathbb R^n$ [on hold]
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Let $C([0,a],mathbbR^n)$ be the set of continuous functions defined from $[0,a]$ to $mathbbR^n$, where $a>0$ is a real number. Let $f:[0,a] times mathbbR^n rightarrow mathbbR^n$ be a continuous function.For $x in mathbbR^n$ define $Vert x Vert= Vert x_1,x_2,ldots , x_n Vert= max vert x_1 vert, vert x_2 vert,ldots , vert x_n vert $.
Prove that $$ BigVert intlimits_0^a [f(s,u(s))-f(s,v(s))]ds BigVert leq intlimits_0^a Vert f(s,u(s))-f(s,v(s)) Vert ds,$$ where $u,v in C([0,a],mathbbR^n)$.
calculus functional-analysis
put on hold as off-topic by José Carlos Santos, amWhy, Claude Leibovici, Micah, Strants Aug 3 at 14:24
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – José Carlos Santos, amWhy, Claude Leibovici, Micah, Strants
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Let $C([0,a],mathbbR^n)$ be the set of continuous functions defined from $[0,a]$ to $mathbbR^n$, where $a>0$ is a real number. Let $f:[0,a] times mathbbR^n rightarrow mathbbR^n$ be a continuous function.For $x in mathbbR^n$ define $Vert x Vert= Vert x_1,x_2,ldots , x_n Vert= max vert x_1 vert, vert x_2 vert,ldots , vert x_n vert $.
Prove that $$ BigVert intlimits_0^a [f(s,u(s))-f(s,v(s))]ds BigVert leq intlimits_0^a Vert f(s,u(s))-f(s,v(s)) Vert ds,$$ where $u,v in C([0,a],mathbbR^n)$.
calculus functional-analysis
put on hold as off-topic by José Carlos Santos, amWhy, Claude Leibovici, Micah, Strants Aug 3 at 14:24
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – José Carlos Santos, amWhy, Claude Leibovici, Micah, Strants
What are your thoughts on this problem? For example, are you familiar with Minkowski's inequality?
– Strants
Aug 3 at 14:24
Yes I"m familiar
– Manu Rohilla
Aug 3 at 15:10
add a comment |Â
up vote
0
down vote
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up vote
0
down vote
favorite
Let $C([0,a],mathbbR^n)$ be the set of continuous functions defined from $[0,a]$ to $mathbbR^n$, where $a>0$ is a real number. Let $f:[0,a] times mathbbR^n rightarrow mathbbR^n$ be a continuous function.For $x in mathbbR^n$ define $Vert x Vert= Vert x_1,x_2,ldots , x_n Vert= max vert x_1 vert, vert x_2 vert,ldots , vert x_n vert $.
Prove that $$ BigVert intlimits_0^a [f(s,u(s))-f(s,v(s))]ds BigVert leq intlimits_0^a Vert f(s,u(s))-f(s,v(s)) Vert ds,$$ where $u,v in C([0,a],mathbbR^n)$.
calculus functional-analysis
Let $C([0,a],mathbbR^n)$ be the set of continuous functions defined from $[0,a]$ to $mathbbR^n$, where $a>0$ is a real number. Let $f:[0,a] times mathbbR^n rightarrow mathbbR^n$ be a continuous function.For $x in mathbbR^n$ define $Vert x Vert= Vert x_1,x_2,ldots , x_n Vert= max vert x_1 vert, vert x_2 vert,ldots , vert x_n vert $.
Prove that $$ BigVert intlimits_0^a [f(s,u(s))-f(s,v(s))]ds BigVert leq intlimits_0^a Vert f(s,u(s))-f(s,v(s)) Vert ds,$$ where $u,v in C([0,a],mathbbR^n)$.
calculus functional-analysis
edited Aug 3 at 11:01


amWhy
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189k25219431
asked Aug 3 at 7:41
Manu Rohilla
1209
1209
put on hold as off-topic by José Carlos Santos, amWhy, Claude Leibovici, Micah, Strants Aug 3 at 14:24
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – José Carlos Santos, amWhy, Claude Leibovici, Micah, Strants
put on hold as off-topic by José Carlos Santos, amWhy, Claude Leibovici, Micah, Strants Aug 3 at 14:24
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – José Carlos Santos, amWhy, Claude Leibovici, Micah, Strants
What are your thoughts on this problem? For example, are you familiar with Minkowski's inequality?
– Strants
Aug 3 at 14:24
Yes I"m familiar
– Manu Rohilla
Aug 3 at 15:10
add a comment |Â
What are your thoughts on this problem? For example, are you familiar with Minkowski's inequality?
– Strants
Aug 3 at 14:24
Yes I"m familiar
– Manu Rohilla
Aug 3 at 15:10
What are your thoughts on this problem? For example, are you familiar with Minkowski's inequality?
– Strants
Aug 3 at 14:24
What are your thoughts on this problem? For example, are you familiar with Minkowski's inequality?
– Strants
Aug 3 at 14:24
Yes I"m familiar
– Manu Rohilla
Aug 3 at 15:10
Yes I"m familiar
– Manu Rohilla
Aug 3 at 15:10
add a comment |Â
1 Answer
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If $u$ is a vector with $sum_i=1^n |u_i|=1$ and $langle u, v rangle$ denotes $sum_i=1^n u_iv_i$ then $langle u, int_0^a [f(s,u(s))-f(s,v(s)] , ds rangle=int_0^a langle u, [f(s,u(s)-f(s,v(s)] rangle , dsleq RHS$. Take sup over all $u$. Details: let $g(s)=f(s,u(s))-f(s,v(s))$. Then $g$ maps $[0,a]$ into $mathbb R^n$. Write $$g=(g_1,g_2,...,g_n)$$ . [$g_i$'s are real valued functions]. By definition $int_0^ag(s)ds$ is the vector $$(int_0^ag_1(s)ds,int_0^ag_2(s)ds,...,int_0^ag_n(s)ds)$$. If $u=(u_1,u_2,...,u_n)$ is as above then $$langle u, int_0^a g(s) , ds rangle= sum_i=1^n u_iint_0^ag_i(s)ds=int_0^asum_i=1^nu_ig_i(s)ds$$. But $sum_i=1^nu_ig_i(s) leq |g(s)|$ so we get $$langle u, int_0^a [f(s,u(s))-f(s,v(s)] , ds rangle leq int_0^a |g(s)| , ds$$ and the last quantity is the right hand side of your inequality. it is easy to see that for any vector $x$, $sup (u_i)=|x|$. Hence, if you take sup over all $u$ you will get the desired inequality.
Please explain a bit more. I'm not able to get it.
– Manu Rohilla
Aug 3 at 7:50
This answer isn't quite correct: the norm $lVert x rVert$ given in the question is not generated by an inner product, so Cauchy-Schwarz does not apply.
– Strants
Aug 3 at 15:14
@Strants Thanks. I have revised the answer.
– Kavi Rama Murthy
Aug 3 at 23:50
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
If $u$ is a vector with $sum_i=1^n |u_i|=1$ and $langle u, v rangle$ denotes $sum_i=1^n u_iv_i$ then $langle u, int_0^a [f(s,u(s))-f(s,v(s)] , ds rangle=int_0^a langle u, [f(s,u(s)-f(s,v(s)] rangle , dsleq RHS$. Take sup over all $u$. Details: let $g(s)=f(s,u(s))-f(s,v(s))$. Then $g$ maps $[0,a]$ into $mathbb R^n$. Write $$g=(g_1,g_2,...,g_n)$$ . [$g_i$'s are real valued functions]. By definition $int_0^ag(s)ds$ is the vector $$(int_0^ag_1(s)ds,int_0^ag_2(s)ds,...,int_0^ag_n(s)ds)$$. If $u=(u_1,u_2,...,u_n)$ is as above then $$langle u, int_0^a g(s) , ds rangle= sum_i=1^n u_iint_0^ag_i(s)ds=int_0^asum_i=1^nu_ig_i(s)ds$$. But $sum_i=1^nu_ig_i(s) leq |g(s)|$ so we get $$langle u, int_0^a [f(s,u(s))-f(s,v(s)] , ds rangle leq int_0^a |g(s)| , ds$$ and the last quantity is the right hand side of your inequality. it is easy to see that for any vector $x$, $sup (u_i)=|x|$. Hence, if you take sup over all $u$ you will get the desired inequality.
Please explain a bit more. I'm not able to get it.
– Manu Rohilla
Aug 3 at 7:50
This answer isn't quite correct: the norm $lVert x rVert$ given in the question is not generated by an inner product, so Cauchy-Schwarz does not apply.
– Strants
Aug 3 at 15:14
@Strants Thanks. I have revised the answer.
– Kavi Rama Murthy
Aug 3 at 23:50
add a comment |Â
up vote
1
down vote
accepted
If $u$ is a vector with $sum_i=1^n |u_i|=1$ and $langle u, v rangle$ denotes $sum_i=1^n u_iv_i$ then $langle u, int_0^a [f(s,u(s))-f(s,v(s)] , ds rangle=int_0^a langle u, [f(s,u(s)-f(s,v(s)] rangle , dsleq RHS$. Take sup over all $u$. Details: let $g(s)=f(s,u(s))-f(s,v(s))$. Then $g$ maps $[0,a]$ into $mathbb R^n$. Write $$g=(g_1,g_2,...,g_n)$$ . [$g_i$'s are real valued functions]. By definition $int_0^ag(s)ds$ is the vector $$(int_0^ag_1(s)ds,int_0^ag_2(s)ds,...,int_0^ag_n(s)ds)$$. If $u=(u_1,u_2,...,u_n)$ is as above then $$langle u, int_0^a g(s) , ds rangle= sum_i=1^n u_iint_0^ag_i(s)ds=int_0^asum_i=1^nu_ig_i(s)ds$$. But $sum_i=1^nu_ig_i(s) leq |g(s)|$ so we get $$langle u, int_0^a [f(s,u(s))-f(s,v(s)] , ds rangle leq int_0^a |g(s)| , ds$$ and the last quantity is the right hand side of your inequality. it is easy to see that for any vector $x$, $sup (u_i)=|x|$. Hence, if you take sup over all $u$ you will get the desired inequality.
Please explain a bit more. I'm not able to get it.
– Manu Rohilla
Aug 3 at 7:50
This answer isn't quite correct: the norm $lVert x rVert$ given in the question is not generated by an inner product, so Cauchy-Schwarz does not apply.
– Strants
Aug 3 at 15:14
@Strants Thanks. I have revised the answer.
– Kavi Rama Murthy
Aug 3 at 23:50
add a comment |Â
up vote
1
down vote
accepted
up vote
1
down vote
accepted
If $u$ is a vector with $sum_i=1^n |u_i|=1$ and $langle u, v rangle$ denotes $sum_i=1^n u_iv_i$ then $langle u, int_0^a [f(s,u(s))-f(s,v(s)] , ds rangle=int_0^a langle u, [f(s,u(s)-f(s,v(s)] rangle , dsleq RHS$. Take sup over all $u$. Details: let $g(s)=f(s,u(s))-f(s,v(s))$. Then $g$ maps $[0,a]$ into $mathbb R^n$. Write $$g=(g_1,g_2,...,g_n)$$ . [$g_i$'s are real valued functions]. By definition $int_0^ag(s)ds$ is the vector $$(int_0^ag_1(s)ds,int_0^ag_2(s)ds,...,int_0^ag_n(s)ds)$$. If $u=(u_1,u_2,...,u_n)$ is as above then $$langle u, int_0^a g(s) , ds rangle= sum_i=1^n u_iint_0^ag_i(s)ds=int_0^asum_i=1^nu_ig_i(s)ds$$. But $sum_i=1^nu_ig_i(s) leq |g(s)|$ so we get $$langle u, int_0^a [f(s,u(s))-f(s,v(s)] , ds rangle leq int_0^a |g(s)| , ds$$ and the last quantity is the right hand side of your inequality. it is easy to see that for any vector $x$, $sup (u_i)=|x|$. Hence, if you take sup over all $u$ you will get the desired inequality.
If $u$ is a vector with $sum_i=1^n |u_i|=1$ and $langle u, v rangle$ denotes $sum_i=1^n u_iv_i$ then $langle u, int_0^a [f(s,u(s))-f(s,v(s)] , ds rangle=int_0^a langle u, [f(s,u(s)-f(s,v(s)] rangle , dsleq RHS$. Take sup over all $u$. Details: let $g(s)=f(s,u(s))-f(s,v(s))$. Then $g$ maps $[0,a]$ into $mathbb R^n$. Write $$g=(g_1,g_2,...,g_n)$$ . [$g_i$'s are real valued functions]. By definition $int_0^ag(s)ds$ is the vector $$(int_0^ag_1(s)ds,int_0^ag_2(s)ds,...,int_0^ag_n(s)ds)$$. If $u=(u_1,u_2,...,u_n)$ is as above then $$langle u, int_0^a g(s) , ds rangle= sum_i=1^n u_iint_0^ag_i(s)ds=int_0^asum_i=1^nu_ig_i(s)ds$$. But $sum_i=1^nu_ig_i(s) leq |g(s)|$ so we get $$langle u, int_0^a [f(s,u(s))-f(s,v(s)] , ds rangle leq int_0^a |g(s)| , ds$$ and the last quantity is the right hand side of your inequality. it is easy to see that for any vector $x$, $sup (u_i)=|x|$. Hence, if you take sup over all $u$ you will get the desired inequality.
edited Aug 3 at 23:49
answered Aug 3 at 7:47


Kavi Rama Murthy
19.2k2829
19.2k2829
Please explain a bit more. I'm not able to get it.
– Manu Rohilla
Aug 3 at 7:50
This answer isn't quite correct: the norm $lVert x rVert$ given in the question is not generated by an inner product, so Cauchy-Schwarz does not apply.
– Strants
Aug 3 at 15:14
@Strants Thanks. I have revised the answer.
– Kavi Rama Murthy
Aug 3 at 23:50
add a comment |Â
Please explain a bit more. I'm not able to get it.
– Manu Rohilla
Aug 3 at 7:50
This answer isn't quite correct: the norm $lVert x rVert$ given in the question is not generated by an inner product, so Cauchy-Schwarz does not apply.
– Strants
Aug 3 at 15:14
@Strants Thanks. I have revised the answer.
– Kavi Rama Murthy
Aug 3 at 23:50
Please explain a bit more. I'm not able to get it.
– Manu Rohilla
Aug 3 at 7:50
Please explain a bit more. I'm not able to get it.
– Manu Rohilla
Aug 3 at 7:50
This answer isn't quite correct: the norm $lVert x rVert$ given in the question is not generated by an inner product, so Cauchy-Schwarz does not apply.
– Strants
Aug 3 at 15:14
This answer isn't quite correct: the norm $lVert x rVert$ given in the question is not generated by an inner product, so Cauchy-Schwarz does not apply.
– Strants
Aug 3 at 15:14
@Strants Thanks. I have revised the answer.
– Kavi Rama Murthy
Aug 3 at 23:50
@Strants Thanks. I have revised the answer.
– Kavi Rama Murthy
Aug 3 at 23:50
add a comment |Â
What are your thoughts on this problem? For example, are you familiar with Minkowski's inequality?
– Strants
Aug 3 at 14:24
Yes I"m familiar
– Manu Rohilla
Aug 3 at 15:10