$K(x,t) = frac{1}{sqrt{4pi t}^N} e^{-frac{|x|^2}{4t}}$, then $D_x^aD_t^k K(x-y,t)le Cexp(-c|y|^2)$
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Let $$K(x,t) = frac{1}{sqrt{4pi t}^N} e^{-frac{|x|^2}{4t}},
t>0, xinmathbb{R}^n$$
Show that if $u_0in L^{infty}(mathbb{R}^N)$ then $$u(x,t) =
int_{mathbb{R}^N} u_0(y)K(x-y,t)dy$$ is infinitely differentiable in
$mathbb{R}^Ntimes ]0,infty[$.
Suggestion: fix $0<a<b$ and $R>0$ and verify that given
$ainmathbb{Z}_+^N, kinmathbb{Z}_+$, there exists constants $C>0,
c>0, p>0$ such that $$D_x^aD_t^k K(x-y,t)le Cexp(-c|y|^2),
x,yinmathbb{R}^N, |x|le R, |y|le p, tin [a,b]$$
I've used Leibniz product differentiation rule and ended up with
$$D_t^k K = sum_i^k{kchoose i}prod_{j=1}^{k-i}left(frac{-N}{2}-jright)(4pi t)^{-frac{N}{2}-j}4^jpi^i frac{(-|x|)^{2i}}{4i}e^{-frac{|x|^2}{4t}}$$
which is already pretty absurd and looks like won't help. I, however, don't see another way of taking thederivative. I know that that product can be converted into a combinatorial but only for even $N$. I still have to take $D_x^a$. Any ideas?
calculus real-analysis integration multivariable-calculus pde
add a comment |
up vote
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down vote
favorite
Let $$K(x,t) = frac{1}{sqrt{4pi t}^N} e^{-frac{|x|^2}{4t}},
t>0, xinmathbb{R}^n$$
Show that if $u_0in L^{infty}(mathbb{R}^N)$ then $$u(x,t) =
int_{mathbb{R}^N} u_0(y)K(x-y,t)dy$$ is infinitely differentiable in
$mathbb{R}^Ntimes ]0,infty[$.
Suggestion: fix $0<a<b$ and $R>0$ and verify that given
$ainmathbb{Z}_+^N, kinmathbb{Z}_+$, there exists constants $C>0,
c>0, p>0$ such that $$D_x^aD_t^k K(x-y,t)le Cexp(-c|y|^2),
x,yinmathbb{R}^N, |x|le R, |y|le p, tin [a,b]$$
I've used Leibniz product differentiation rule and ended up with
$$D_t^k K = sum_i^k{kchoose i}prod_{j=1}^{k-i}left(frac{-N}{2}-jright)(4pi t)^{-frac{N}{2}-j}4^jpi^i frac{(-|x|)^{2i}}{4i}e^{-frac{|x|^2}{4t}}$$
which is already pretty absurd and looks like won't help. I, however, don't see another way of taking thederivative. I know that that product can be converted into a combinatorial but only for even $N$. I still have to take $D_x^a$. Any ideas?
calculus real-analysis integration multivariable-calculus pde
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Let $$K(x,t) = frac{1}{sqrt{4pi t}^N} e^{-frac{|x|^2}{4t}},
t>0, xinmathbb{R}^n$$
Show that if $u_0in L^{infty}(mathbb{R}^N)$ then $$u(x,t) =
int_{mathbb{R}^N} u_0(y)K(x-y,t)dy$$ is infinitely differentiable in
$mathbb{R}^Ntimes ]0,infty[$.
Suggestion: fix $0<a<b$ and $R>0$ and verify that given
$ainmathbb{Z}_+^N, kinmathbb{Z}_+$, there exists constants $C>0,
c>0, p>0$ such that $$D_x^aD_t^k K(x-y,t)le Cexp(-c|y|^2),
x,yinmathbb{R}^N, |x|le R, |y|le p, tin [a,b]$$
I've used Leibniz product differentiation rule and ended up with
$$D_t^k K = sum_i^k{kchoose i}prod_{j=1}^{k-i}left(frac{-N}{2}-jright)(4pi t)^{-frac{N}{2}-j}4^jpi^i frac{(-|x|)^{2i}}{4i}e^{-frac{|x|^2}{4t}}$$
which is already pretty absurd and looks like won't help. I, however, don't see another way of taking thederivative. I know that that product can be converted into a combinatorial but only for even $N$. I still have to take $D_x^a$. Any ideas?
calculus real-analysis integration multivariable-calculus pde
Let $$K(x,t) = frac{1}{sqrt{4pi t}^N} e^{-frac{|x|^2}{4t}},
t>0, xinmathbb{R}^n$$
Show that if $u_0in L^{infty}(mathbb{R}^N)$ then $$u(x,t) =
int_{mathbb{R}^N} u_0(y)K(x-y,t)dy$$ is infinitely differentiable in
$mathbb{R}^Ntimes ]0,infty[$.
Suggestion: fix $0<a<b$ and $R>0$ and verify that given
$ainmathbb{Z}_+^N, kinmathbb{Z}_+$, there exists constants $C>0,
c>0, p>0$ such that $$D_x^aD_t^k K(x-y,t)le Cexp(-c|y|^2),
x,yinmathbb{R}^N, |x|le R, |y|le p, tin [a,b]$$
I've used Leibniz product differentiation rule and ended up with
$$D_t^k K = sum_i^k{kchoose i}prod_{j=1}^{k-i}left(frac{-N}{2}-jright)(4pi t)^{-frac{N}{2}-j}4^jpi^i frac{(-|x|)^{2i}}{4i}e^{-frac{|x|^2}{4t}}$$
which is already pretty absurd and looks like won't help. I, however, don't see another way of taking thederivative. I know that that product can be converted into a combinatorial but only for even $N$. I still have to take $D_x^a$. Any ideas?
calculus real-analysis integration multivariable-calculus pde
calculus real-analysis integration multivariable-calculus pde
asked Nov 13 at 0:45
Lucas Zanella
1,17711329
1,17711329
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1 Answer
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You don't really need to keep track of the coefficients, only that you have some control:
$$
D^k_t(K(x,t))=p_k(x,t^{-1}) K(x,t)
$$
where $p_k$ is a polynomial of degree $4k$. Similarly, take care of the $D_x^alpha$
$$
D^alpha_x(D^k_t(K(x-t)) = Q_{k,alpha}(x,t^{-1}) K(x,t)
$$
with $Q_{k,alpha}$ a polynomial of degree $4k+2lvertalpharvert$.
For polynomial $Q_{k,alpha}$, you can bound
begin{align}
lvert Q_{k,alpha}(x-y,t)rvert&leq overbrace{(#text{monomials})}^{=C(k,alpha,N)}times\
&quadtimesunderbrace{(maxlverttext{coefficients}rvert)}_{leq C(k,alpha,N)}times
(suptext{bound on monomial})
end{align}
where we use the obvious notation $C(dots)$ for a universal constant depending only on the those variables listed. Now just bound away each monomial, giving
begin{align}
lvert(x-y)^beta t^{-j}rvert&leq C(R,lvertbetarvert)(1+lvert yrvert^2)^{d/2}cdotmax(1,a^{-j})\
&leq C(R,d,a)(1+lvert yrvert^2)^{d/2}
end{align}
for every degree bound $d$, every $lvert xrvertleq R$, every $yinmathbb{R}^N$ and every $tin[a,b]$. Thus we bound
$$
(1+lvert yrvert^2)^{d/2}lvert K(x-y,t)rvertleq C(d,R,a,N,varepsilon)exp(-(1/(4b)-varepsilon)lvert yrvert^2)
$$
for all $lvert xrvertleq R$, $tin[a,b]$ and $varepsilon>0$. Note we weaken the coefficient of $lvert yrvert^2$ in the exponential to help get the bound in front for all $yinmathbb{R}^N$.
Can you be more specific on the degree of the polynomials? I cannot see why the degrees are like that
– Lucas Zanella
Nov 13 at 12:19
I did the first derivative and I can only find $t$ to have degree 2 and $x$ to have degree 2
– Lucas Zanella
Nov 13 at 12:36
$D_t$ if act outside of $exp$ it merely increases $t^{-1}$-degree by 1; if acts on the exponential, it brings a $lvert xrvert^2/t^2$, so increases the total degree by 4. Similarly, $D_{x_i}$ on exponential brings a $x_i/t$, so increases total degree by $2$.
– user10354138
Nov 13 at 12:57
The degree of the $x$ derivative gave me only $|alpha|$
– Lucas Zanella
Nov 13 at 13:00
plus the degree os the t terms which are $2k$ for me
– Lucas Zanella
Nov 13 at 13:01
|
show 7 more comments
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
You don't really need to keep track of the coefficients, only that you have some control:
$$
D^k_t(K(x,t))=p_k(x,t^{-1}) K(x,t)
$$
where $p_k$ is a polynomial of degree $4k$. Similarly, take care of the $D_x^alpha$
$$
D^alpha_x(D^k_t(K(x-t)) = Q_{k,alpha}(x,t^{-1}) K(x,t)
$$
with $Q_{k,alpha}$ a polynomial of degree $4k+2lvertalpharvert$.
For polynomial $Q_{k,alpha}$, you can bound
begin{align}
lvert Q_{k,alpha}(x-y,t)rvert&leq overbrace{(#text{monomials})}^{=C(k,alpha,N)}times\
&quadtimesunderbrace{(maxlverttext{coefficients}rvert)}_{leq C(k,alpha,N)}times
(suptext{bound on monomial})
end{align}
where we use the obvious notation $C(dots)$ for a universal constant depending only on the those variables listed. Now just bound away each monomial, giving
begin{align}
lvert(x-y)^beta t^{-j}rvert&leq C(R,lvertbetarvert)(1+lvert yrvert^2)^{d/2}cdotmax(1,a^{-j})\
&leq C(R,d,a)(1+lvert yrvert^2)^{d/2}
end{align}
for every degree bound $d$, every $lvert xrvertleq R$, every $yinmathbb{R}^N$ and every $tin[a,b]$. Thus we bound
$$
(1+lvert yrvert^2)^{d/2}lvert K(x-y,t)rvertleq C(d,R,a,N,varepsilon)exp(-(1/(4b)-varepsilon)lvert yrvert^2)
$$
for all $lvert xrvertleq R$, $tin[a,b]$ and $varepsilon>0$. Note we weaken the coefficient of $lvert yrvert^2$ in the exponential to help get the bound in front for all $yinmathbb{R}^N$.
Can you be more specific on the degree of the polynomials? I cannot see why the degrees are like that
– Lucas Zanella
Nov 13 at 12:19
I did the first derivative and I can only find $t$ to have degree 2 and $x$ to have degree 2
– Lucas Zanella
Nov 13 at 12:36
$D_t$ if act outside of $exp$ it merely increases $t^{-1}$-degree by 1; if acts on the exponential, it brings a $lvert xrvert^2/t^2$, so increases the total degree by 4. Similarly, $D_{x_i}$ on exponential brings a $x_i/t$, so increases total degree by $2$.
– user10354138
Nov 13 at 12:57
The degree of the $x$ derivative gave me only $|alpha|$
– Lucas Zanella
Nov 13 at 13:00
plus the degree os the t terms which are $2k$ for me
– Lucas Zanella
Nov 13 at 13:01
|
show 7 more comments
up vote
0
down vote
You don't really need to keep track of the coefficients, only that you have some control:
$$
D^k_t(K(x,t))=p_k(x,t^{-1}) K(x,t)
$$
where $p_k$ is a polynomial of degree $4k$. Similarly, take care of the $D_x^alpha$
$$
D^alpha_x(D^k_t(K(x-t)) = Q_{k,alpha}(x,t^{-1}) K(x,t)
$$
with $Q_{k,alpha}$ a polynomial of degree $4k+2lvertalpharvert$.
For polynomial $Q_{k,alpha}$, you can bound
begin{align}
lvert Q_{k,alpha}(x-y,t)rvert&leq overbrace{(#text{monomials})}^{=C(k,alpha,N)}times\
&quadtimesunderbrace{(maxlverttext{coefficients}rvert)}_{leq C(k,alpha,N)}times
(suptext{bound on monomial})
end{align}
where we use the obvious notation $C(dots)$ for a universal constant depending only on the those variables listed. Now just bound away each monomial, giving
begin{align}
lvert(x-y)^beta t^{-j}rvert&leq C(R,lvertbetarvert)(1+lvert yrvert^2)^{d/2}cdotmax(1,a^{-j})\
&leq C(R,d,a)(1+lvert yrvert^2)^{d/2}
end{align}
for every degree bound $d$, every $lvert xrvertleq R$, every $yinmathbb{R}^N$ and every $tin[a,b]$. Thus we bound
$$
(1+lvert yrvert^2)^{d/2}lvert K(x-y,t)rvertleq C(d,R,a,N,varepsilon)exp(-(1/(4b)-varepsilon)lvert yrvert^2)
$$
for all $lvert xrvertleq R$, $tin[a,b]$ and $varepsilon>0$. Note we weaken the coefficient of $lvert yrvert^2$ in the exponential to help get the bound in front for all $yinmathbb{R}^N$.
Can you be more specific on the degree of the polynomials? I cannot see why the degrees are like that
– Lucas Zanella
Nov 13 at 12:19
I did the first derivative and I can only find $t$ to have degree 2 and $x$ to have degree 2
– Lucas Zanella
Nov 13 at 12:36
$D_t$ if act outside of $exp$ it merely increases $t^{-1}$-degree by 1; if acts on the exponential, it brings a $lvert xrvert^2/t^2$, so increases the total degree by 4. Similarly, $D_{x_i}$ on exponential brings a $x_i/t$, so increases total degree by $2$.
– user10354138
Nov 13 at 12:57
The degree of the $x$ derivative gave me only $|alpha|$
– Lucas Zanella
Nov 13 at 13:00
plus the degree os the t terms which are $2k$ for me
– Lucas Zanella
Nov 13 at 13:01
|
show 7 more comments
up vote
0
down vote
up vote
0
down vote
You don't really need to keep track of the coefficients, only that you have some control:
$$
D^k_t(K(x,t))=p_k(x,t^{-1}) K(x,t)
$$
where $p_k$ is a polynomial of degree $4k$. Similarly, take care of the $D_x^alpha$
$$
D^alpha_x(D^k_t(K(x-t)) = Q_{k,alpha}(x,t^{-1}) K(x,t)
$$
with $Q_{k,alpha}$ a polynomial of degree $4k+2lvertalpharvert$.
For polynomial $Q_{k,alpha}$, you can bound
begin{align}
lvert Q_{k,alpha}(x-y,t)rvert&leq overbrace{(#text{monomials})}^{=C(k,alpha,N)}times\
&quadtimesunderbrace{(maxlverttext{coefficients}rvert)}_{leq C(k,alpha,N)}times
(suptext{bound on monomial})
end{align}
where we use the obvious notation $C(dots)$ for a universal constant depending only on the those variables listed. Now just bound away each monomial, giving
begin{align}
lvert(x-y)^beta t^{-j}rvert&leq C(R,lvertbetarvert)(1+lvert yrvert^2)^{d/2}cdotmax(1,a^{-j})\
&leq C(R,d,a)(1+lvert yrvert^2)^{d/2}
end{align}
for every degree bound $d$, every $lvert xrvertleq R$, every $yinmathbb{R}^N$ and every $tin[a,b]$. Thus we bound
$$
(1+lvert yrvert^2)^{d/2}lvert K(x-y,t)rvertleq C(d,R,a,N,varepsilon)exp(-(1/(4b)-varepsilon)lvert yrvert^2)
$$
for all $lvert xrvertleq R$, $tin[a,b]$ and $varepsilon>0$. Note we weaken the coefficient of $lvert yrvert^2$ in the exponential to help get the bound in front for all $yinmathbb{R}^N$.
You don't really need to keep track of the coefficients, only that you have some control:
$$
D^k_t(K(x,t))=p_k(x,t^{-1}) K(x,t)
$$
where $p_k$ is a polynomial of degree $4k$. Similarly, take care of the $D_x^alpha$
$$
D^alpha_x(D^k_t(K(x-t)) = Q_{k,alpha}(x,t^{-1}) K(x,t)
$$
with $Q_{k,alpha}$ a polynomial of degree $4k+2lvertalpharvert$.
For polynomial $Q_{k,alpha}$, you can bound
begin{align}
lvert Q_{k,alpha}(x-y,t)rvert&leq overbrace{(#text{monomials})}^{=C(k,alpha,N)}times\
&quadtimesunderbrace{(maxlverttext{coefficients}rvert)}_{leq C(k,alpha,N)}times
(suptext{bound on monomial})
end{align}
where we use the obvious notation $C(dots)$ for a universal constant depending only on the those variables listed. Now just bound away each monomial, giving
begin{align}
lvert(x-y)^beta t^{-j}rvert&leq C(R,lvertbetarvert)(1+lvert yrvert^2)^{d/2}cdotmax(1,a^{-j})\
&leq C(R,d,a)(1+lvert yrvert^2)^{d/2}
end{align}
for every degree bound $d$, every $lvert xrvertleq R$, every $yinmathbb{R}^N$ and every $tin[a,b]$. Thus we bound
$$
(1+lvert yrvert^2)^{d/2}lvert K(x-y,t)rvertleq C(d,R,a,N,varepsilon)exp(-(1/(4b)-varepsilon)lvert yrvert^2)
$$
for all $lvert xrvertleq R$, $tin[a,b]$ and $varepsilon>0$. Note we weaken the coefficient of $lvert yrvert^2$ in the exponential to help get the bound in front for all $yinmathbb{R}^N$.
edited Nov 14 at 0:07
answered Nov 13 at 2:16
user10354138
6,294623
6,294623
Can you be more specific on the degree of the polynomials? I cannot see why the degrees are like that
– Lucas Zanella
Nov 13 at 12:19
I did the first derivative and I can only find $t$ to have degree 2 and $x$ to have degree 2
– Lucas Zanella
Nov 13 at 12:36
$D_t$ if act outside of $exp$ it merely increases $t^{-1}$-degree by 1; if acts on the exponential, it brings a $lvert xrvert^2/t^2$, so increases the total degree by 4. Similarly, $D_{x_i}$ on exponential brings a $x_i/t$, so increases total degree by $2$.
– user10354138
Nov 13 at 12:57
The degree of the $x$ derivative gave me only $|alpha|$
– Lucas Zanella
Nov 13 at 13:00
plus the degree os the t terms which are $2k$ for me
– Lucas Zanella
Nov 13 at 13:01
|
show 7 more comments
Can you be more specific on the degree of the polynomials? I cannot see why the degrees are like that
– Lucas Zanella
Nov 13 at 12:19
I did the first derivative and I can only find $t$ to have degree 2 and $x$ to have degree 2
– Lucas Zanella
Nov 13 at 12:36
$D_t$ if act outside of $exp$ it merely increases $t^{-1}$-degree by 1; if acts on the exponential, it brings a $lvert xrvert^2/t^2$, so increases the total degree by 4. Similarly, $D_{x_i}$ on exponential brings a $x_i/t$, so increases total degree by $2$.
– user10354138
Nov 13 at 12:57
The degree of the $x$ derivative gave me only $|alpha|$
– Lucas Zanella
Nov 13 at 13:00
plus the degree os the t terms which are $2k$ for me
– Lucas Zanella
Nov 13 at 13:01
Can you be more specific on the degree of the polynomials? I cannot see why the degrees are like that
– Lucas Zanella
Nov 13 at 12:19
Can you be more specific on the degree of the polynomials? I cannot see why the degrees are like that
– Lucas Zanella
Nov 13 at 12:19
I did the first derivative and I can only find $t$ to have degree 2 and $x$ to have degree 2
– Lucas Zanella
Nov 13 at 12:36
I did the first derivative and I can only find $t$ to have degree 2 and $x$ to have degree 2
– Lucas Zanella
Nov 13 at 12:36
$D_t$ if act outside of $exp$ it merely increases $t^{-1}$-degree by 1; if acts on the exponential, it brings a $lvert xrvert^2/t^2$, so increases the total degree by 4. Similarly, $D_{x_i}$ on exponential brings a $x_i/t$, so increases total degree by $2$.
– user10354138
Nov 13 at 12:57
$D_t$ if act outside of $exp$ it merely increases $t^{-1}$-degree by 1; if acts on the exponential, it brings a $lvert xrvert^2/t^2$, so increases the total degree by 4. Similarly, $D_{x_i}$ on exponential brings a $x_i/t$, so increases total degree by $2$.
– user10354138
Nov 13 at 12:57
The degree of the $x$ derivative gave me only $|alpha|$
– Lucas Zanella
Nov 13 at 13:00
The degree of the $x$ derivative gave me only $|alpha|$
– Lucas Zanella
Nov 13 at 13:00
plus the degree os the t terms which are $2k$ for me
– Lucas Zanella
Nov 13 at 13:01
plus the degree os the t terms which are $2k$ for me
– Lucas Zanella
Nov 13 at 13:01
|
show 7 more comments
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