Convolution with Gaussian











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Let $f, gin mathcal{S}(mathbb R)$ (Schwartz class function), $delta_0$ (dirac delta distribution).



Consider distribution as follows:
$$G(x, y)= f(x)g(x)delta_0(y)-f(y)g(y)delta_0(x), (x, yin mathbb R)$$



Let $h(x,y)= e^{-(x^2+y^2)}.$



My Question is:




Can we expect that $Gast h in L^{1}(mathbb R^2)$?




where $ast$ denotes the convolution.










share|cite|improve this question
























  • Do you mean $Gast h$?
    – Marco
    Nov 19 at 16:51










  • @Marco: Yes. Thanks. I'll correct the typo.
    – Math Learner
    Nov 19 at 16:55










  • Also, could you please be more precise about how the distribution $G$ acts on Schwarz functions? For example for a writing like $f(x)delta_0(y)$ you mean that $leftlangle f(x)delta_0(y), phi(x,y)rightrangle=?$
    – Marco
    Nov 19 at 17:07










  • BTW it is a bit strange to formulate the question as you did instead of replacing $fg$ by a single Schwartz function. This is because every Schwartz function can be written as $fg$ for some Schwartz functions $f,g$.
    – Abdelmalek Abdesselam
    Nov 19 at 17:12










  • @AbdelmalekAbdesselam I'd say if $T in S', varphi in S$ then $f mapsto f ast (varphi T)$ is a continuous map $S to S$. Not sure by which argument. When replacing $S$ by $C^infty_c$ it is obvious.
    – reuns
    Nov 19 at 20:03

















up vote
2
down vote

favorite












Let $f, gin mathcal{S}(mathbb R)$ (Schwartz class function), $delta_0$ (dirac delta distribution).



Consider distribution as follows:
$$G(x, y)= f(x)g(x)delta_0(y)-f(y)g(y)delta_0(x), (x, yin mathbb R)$$



Let $h(x,y)= e^{-(x^2+y^2)}.$



My Question is:




Can we expect that $Gast h in L^{1}(mathbb R^2)$?




where $ast$ denotes the convolution.










share|cite|improve this question
























  • Do you mean $Gast h$?
    – Marco
    Nov 19 at 16:51










  • @Marco: Yes. Thanks. I'll correct the typo.
    – Math Learner
    Nov 19 at 16:55










  • Also, could you please be more precise about how the distribution $G$ acts on Schwarz functions? For example for a writing like $f(x)delta_0(y)$ you mean that $leftlangle f(x)delta_0(y), phi(x,y)rightrangle=?$
    – Marco
    Nov 19 at 17:07










  • BTW it is a bit strange to formulate the question as you did instead of replacing $fg$ by a single Schwartz function. This is because every Schwartz function can be written as $fg$ for some Schwartz functions $f,g$.
    – Abdelmalek Abdesselam
    Nov 19 at 17:12










  • @AbdelmalekAbdesselam I'd say if $T in S', varphi in S$ then $f mapsto f ast (varphi T)$ is a continuous map $S to S$. Not sure by which argument. When replacing $S$ by $C^infty_c$ it is obvious.
    – reuns
    Nov 19 at 20:03















up vote
2
down vote

favorite









up vote
2
down vote

favorite











Let $f, gin mathcal{S}(mathbb R)$ (Schwartz class function), $delta_0$ (dirac delta distribution).



Consider distribution as follows:
$$G(x, y)= f(x)g(x)delta_0(y)-f(y)g(y)delta_0(x), (x, yin mathbb R)$$



Let $h(x,y)= e^{-(x^2+y^2)}.$



My Question is:




Can we expect that $Gast h in L^{1}(mathbb R^2)$?




where $ast$ denotes the convolution.










share|cite|improve this question















Let $f, gin mathcal{S}(mathbb R)$ (Schwartz class function), $delta_0$ (dirac delta distribution).



Consider distribution as follows:
$$G(x, y)= f(x)g(x)delta_0(y)-f(y)g(y)delta_0(x), (x, yin mathbb R)$$



Let $h(x,y)= e^{-(x^2+y^2)}.$



My Question is:




Can we expect that $Gast h in L^{1}(mathbb R^2)$?




where $ast$ denotes the convolution.







functional-analysis distribution-theory convolution






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Nov 19 at 16:55

























asked Nov 19 at 15:20









Math Learner

3109




3109












  • Do you mean $Gast h$?
    – Marco
    Nov 19 at 16:51










  • @Marco: Yes. Thanks. I'll correct the typo.
    – Math Learner
    Nov 19 at 16:55










  • Also, could you please be more precise about how the distribution $G$ acts on Schwarz functions? For example for a writing like $f(x)delta_0(y)$ you mean that $leftlangle f(x)delta_0(y), phi(x,y)rightrangle=?$
    – Marco
    Nov 19 at 17:07










  • BTW it is a bit strange to formulate the question as you did instead of replacing $fg$ by a single Schwartz function. This is because every Schwartz function can be written as $fg$ for some Schwartz functions $f,g$.
    – Abdelmalek Abdesselam
    Nov 19 at 17:12










  • @AbdelmalekAbdesselam I'd say if $T in S', varphi in S$ then $f mapsto f ast (varphi T)$ is a continuous map $S to S$. Not sure by which argument. When replacing $S$ by $C^infty_c$ it is obvious.
    – reuns
    Nov 19 at 20:03




















  • Do you mean $Gast h$?
    – Marco
    Nov 19 at 16:51










  • @Marco: Yes. Thanks. I'll correct the typo.
    – Math Learner
    Nov 19 at 16:55










  • Also, could you please be more precise about how the distribution $G$ acts on Schwarz functions? For example for a writing like $f(x)delta_0(y)$ you mean that $leftlangle f(x)delta_0(y), phi(x,y)rightrangle=?$
    – Marco
    Nov 19 at 17:07










  • BTW it is a bit strange to formulate the question as you did instead of replacing $fg$ by a single Schwartz function. This is because every Schwartz function can be written as $fg$ for some Schwartz functions $f,g$.
    – Abdelmalek Abdesselam
    Nov 19 at 17:12










  • @AbdelmalekAbdesselam I'd say if $T in S', varphi in S$ then $f mapsto f ast (varphi T)$ is a continuous map $S to S$. Not sure by which argument. When replacing $S$ by $C^infty_c$ it is obvious.
    – reuns
    Nov 19 at 20:03


















Do you mean $Gast h$?
– Marco
Nov 19 at 16:51




Do you mean $Gast h$?
– Marco
Nov 19 at 16:51












@Marco: Yes. Thanks. I'll correct the typo.
– Math Learner
Nov 19 at 16:55




@Marco: Yes. Thanks. I'll correct the typo.
– Math Learner
Nov 19 at 16:55












Also, could you please be more precise about how the distribution $G$ acts on Schwarz functions? For example for a writing like $f(x)delta_0(y)$ you mean that $leftlangle f(x)delta_0(y), phi(x,y)rightrangle=?$
– Marco
Nov 19 at 17:07




Also, could you please be more precise about how the distribution $G$ acts on Schwarz functions? For example for a writing like $f(x)delta_0(y)$ you mean that $leftlangle f(x)delta_0(y), phi(x,y)rightrangle=?$
– Marco
Nov 19 at 17:07












BTW it is a bit strange to formulate the question as you did instead of replacing $fg$ by a single Schwartz function. This is because every Schwartz function can be written as $fg$ for some Schwartz functions $f,g$.
– Abdelmalek Abdesselam
Nov 19 at 17:12




BTW it is a bit strange to formulate the question as you did instead of replacing $fg$ by a single Schwartz function. This is because every Schwartz function can be written as $fg$ for some Schwartz functions $f,g$.
– Abdelmalek Abdesselam
Nov 19 at 17:12












@AbdelmalekAbdesselam I'd say if $T in S', varphi in S$ then $f mapsto f ast (varphi T)$ is a continuous map $S to S$. Not sure by which argument. When replacing $S$ by $C^infty_c$ it is obvious.
– reuns
Nov 19 at 20:03






@AbdelmalekAbdesselam I'd say if $T in S', varphi in S$ then $f mapsto f ast (varphi T)$ is a continuous map $S to S$. Not sure by which argument. When replacing $S$ by $C^infty_c$ it is obvious.
– reuns
Nov 19 at 20:03












1 Answer
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3
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You can just do the explicit computation:
$$
(Gast h)(x,y)=intint G(u,v)h(x-u,y-v)dudv
$$

$$
=intint f(u)g(u)delta(v)h(x-u,y-v)dudv-
intint f(v)g(v)delta(u)h(x-u,y-v)dudv
$$

$$
=int f(u)g(u)h(x-u,y)du-int f(v)g(v)h(x,y-v)dv=gamma(y)((fg)astgamma)(x)-
gamma(x)((fg)astgamma)(y)
$$

where $gamma(z)=e^{-z^2}$ which is in $mathcal{S}(mathbb{R})$. The latter is stable by product and convolution. Moreover, the product of a Schwartz function in $x$ and a Schwartz function in $y$ is in $mathcal{S}(mathbb{R}^2)$. So the result is not only in $L^1(mathbb{R}^2)$ but in fact in $mathcal{S}(mathbb{R}^2)$.






share|cite|improve this answer























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    up vote
    3
    down vote













    You can just do the explicit computation:
    $$
    (Gast h)(x,y)=intint G(u,v)h(x-u,y-v)dudv
    $$

    $$
    =intint f(u)g(u)delta(v)h(x-u,y-v)dudv-
    intint f(v)g(v)delta(u)h(x-u,y-v)dudv
    $$

    $$
    =int f(u)g(u)h(x-u,y)du-int f(v)g(v)h(x,y-v)dv=gamma(y)((fg)astgamma)(x)-
    gamma(x)((fg)astgamma)(y)
    $$

    where $gamma(z)=e^{-z^2}$ which is in $mathcal{S}(mathbb{R})$. The latter is stable by product and convolution. Moreover, the product of a Schwartz function in $x$ and a Schwartz function in $y$ is in $mathcal{S}(mathbb{R}^2)$. So the result is not only in $L^1(mathbb{R}^2)$ but in fact in $mathcal{S}(mathbb{R}^2)$.






    share|cite|improve this answer



























      up vote
      3
      down vote













      You can just do the explicit computation:
      $$
      (Gast h)(x,y)=intint G(u,v)h(x-u,y-v)dudv
      $$

      $$
      =intint f(u)g(u)delta(v)h(x-u,y-v)dudv-
      intint f(v)g(v)delta(u)h(x-u,y-v)dudv
      $$

      $$
      =int f(u)g(u)h(x-u,y)du-int f(v)g(v)h(x,y-v)dv=gamma(y)((fg)astgamma)(x)-
      gamma(x)((fg)astgamma)(y)
      $$

      where $gamma(z)=e^{-z^2}$ which is in $mathcal{S}(mathbb{R})$. The latter is stable by product and convolution. Moreover, the product of a Schwartz function in $x$ and a Schwartz function in $y$ is in $mathcal{S}(mathbb{R}^2)$. So the result is not only in $L^1(mathbb{R}^2)$ but in fact in $mathcal{S}(mathbb{R}^2)$.






      share|cite|improve this answer

























        up vote
        3
        down vote










        up vote
        3
        down vote









        You can just do the explicit computation:
        $$
        (Gast h)(x,y)=intint G(u,v)h(x-u,y-v)dudv
        $$

        $$
        =intint f(u)g(u)delta(v)h(x-u,y-v)dudv-
        intint f(v)g(v)delta(u)h(x-u,y-v)dudv
        $$

        $$
        =int f(u)g(u)h(x-u,y)du-int f(v)g(v)h(x,y-v)dv=gamma(y)((fg)astgamma)(x)-
        gamma(x)((fg)astgamma)(y)
        $$

        where $gamma(z)=e^{-z^2}$ which is in $mathcal{S}(mathbb{R})$. The latter is stable by product and convolution. Moreover, the product of a Schwartz function in $x$ and a Schwartz function in $y$ is in $mathcal{S}(mathbb{R}^2)$. So the result is not only in $L^1(mathbb{R}^2)$ but in fact in $mathcal{S}(mathbb{R}^2)$.






        share|cite|improve this answer














        You can just do the explicit computation:
        $$
        (Gast h)(x,y)=intint G(u,v)h(x-u,y-v)dudv
        $$

        $$
        =intint f(u)g(u)delta(v)h(x-u,y-v)dudv-
        intint f(v)g(v)delta(u)h(x-u,y-v)dudv
        $$

        $$
        =int f(u)g(u)h(x-u,y)du-int f(v)g(v)h(x,y-v)dv=gamma(y)((fg)astgamma)(x)-
        gamma(x)((fg)astgamma)(y)
        $$

        where $gamma(z)=e^{-z^2}$ which is in $mathcal{S}(mathbb{R})$. The latter is stable by product and convolution. Moreover, the product of a Schwartz function in $x$ and a Schwartz function in $y$ is in $mathcal{S}(mathbb{R}^2)$. So the result is not only in $L^1(mathbb{R}^2)$ but in fact in $mathcal{S}(mathbb{R}^2)$.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Nov 19 at 19:48

























        answered Nov 19 at 17:07









        Abdelmalek Abdesselam

        396110




        396110






























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