Artificial unity for the convolution.

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It is not hard to show, that $(L^1(mathbb R),*)$, where $(f*g)(t)=int_mathbb R f(t-s)g(s)ds$ has no unity element.



Consider therefore the functions $phi_epsilon=I_[-epsilon,epsilon]$. If $e$ is the unit, we get for almost all $tin[-epsilon,epsilon]: 1=(e*phi_epsilon)(t)=int_[-epsilon,epsilon] e(t-s)ds$, which converges to zero for $epsilon rightarrow 0$.



My question is the following: $e$ seems to "want to be" a dirac delta but cannot. Is is possible to embed $L^1(mathbb R)$ into a bigger space, which contains something similar to a dirac delta, which gives me a unit?







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    up vote
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    down vote

    favorite












    It is not hard to show, that $(L^1(mathbb R),*)$, where $(f*g)(t)=int_mathbb R f(t-s)g(s)ds$ has no unity element.



    Consider therefore the functions $phi_epsilon=I_[-epsilon,epsilon]$. If $e$ is the unit, we get for almost all $tin[-epsilon,epsilon]: 1=(e*phi_epsilon)(t)=int_[-epsilon,epsilon] e(t-s)ds$, which converges to zero for $epsilon rightarrow 0$.



    My question is the following: $e$ seems to "want to be" a dirac delta but cannot. Is is possible to embed $L^1(mathbb R)$ into a bigger space, which contains something similar to a dirac delta, which gives me a unit?







    share|cite|improve this question





















      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      It is not hard to show, that $(L^1(mathbb R),*)$, where $(f*g)(t)=int_mathbb R f(t-s)g(s)ds$ has no unity element.



      Consider therefore the functions $phi_epsilon=I_[-epsilon,epsilon]$. If $e$ is the unit, we get for almost all $tin[-epsilon,epsilon]: 1=(e*phi_epsilon)(t)=int_[-epsilon,epsilon] e(t-s)ds$, which converges to zero for $epsilon rightarrow 0$.



      My question is the following: $e$ seems to "want to be" a dirac delta but cannot. Is is possible to embed $L^1(mathbb R)$ into a bigger space, which contains something similar to a dirac delta, which gives me a unit?







      share|cite|improve this question











      It is not hard to show, that $(L^1(mathbb R),*)$, where $(f*g)(t)=int_mathbb R f(t-s)g(s)ds$ has no unity element.



      Consider therefore the functions $phi_epsilon=I_[-epsilon,epsilon]$. If $e$ is the unit, we get for almost all $tin[-epsilon,epsilon]: 1=(e*phi_epsilon)(t)=int_[-epsilon,epsilon] e(t-s)ds$, which converges to zero for $epsilon rightarrow 0$.



      My question is the following: $e$ seems to "want to be" a dirac delta but cannot. Is is possible to embed $L^1(mathbb R)$ into a bigger space, which contains something similar to a dirac delta, which gives me a unit?









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      asked Jul 24 at 11:40









      Janis Papewalis

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          Surely. You can thin of elements of $L^1$ as (real or complex )measures and convolution of functions in $L^1$ is a special case of convolution of measures. The delta function is a unit element for measures under convolution. (To think of an $L^1$ function $f$ as mesure just consider $dmu (x) =f(x),dx$).






          share|cite|improve this answer





















          • Thank you, helped very much. I just don't see yet, why $int_Eint_mathbb Rf(x-y)dmu_g(y)dx=int_Eint_mathbb Rf(x-y)g(y)dydx$.
            – Janis Papewalis
            Jul 24 at 12:13










          • ah its clear, algebraic induction.
            – Janis Papewalis
            Jul 24 at 12:22










          • One can also embed $L^1$ in the space of distributions $mathscr D'.$
            – md2perpe
            Jul 24 at 13:07










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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          1
          down vote



          accepted










          Surely. You can thin of elements of $L^1$ as (real or complex )measures and convolution of functions in $L^1$ is a special case of convolution of measures. The delta function is a unit element for measures under convolution. (To think of an $L^1$ function $f$ as mesure just consider $dmu (x) =f(x),dx$).






          share|cite|improve this answer





















          • Thank you, helped very much. I just don't see yet, why $int_Eint_mathbb Rf(x-y)dmu_g(y)dx=int_Eint_mathbb Rf(x-y)g(y)dydx$.
            – Janis Papewalis
            Jul 24 at 12:13










          • ah its clear, algebraic induction.
            – Janis Papewalis
            Jul 24 at 12:22










          • One can also embed $L^1$ in the space of distributions $mathscr D'.$
            – md2perpe
            Jul 24 at 13:07














          up vote
          1
          down vote



          accepted










          Surely. You can thin of elements of $L^1$ as (real or complex )measures and convolution of functions in $L^1$ is a special case of convolution of measures. The delta function is a unit element for measures under convolution. (To think of an $L^1$ function $f$ as mesure just consider $dmu (x) =f(x),dx$).






          share|cite|improve this answer





















          • Thank you, helped very much. I just don't see yet, why $int_Eint_mathbb Rf(x-y)dmu_g(y)dx=int_Eint_mathbb Rf(x-y)g(y)dydx$.
            – Janis Papewalis
            Jul 24 at 12:13










          • ah its clear, algebraic induction.
            – Janis Papewalis
            Jul 24 at 12:22










          • One can also embed $L^1$ in the space of distributions $mathscr D'.$
            – md2perpe
            Jul 24 at 13:07












          up vote
          1
          down vote



          accepted







          up vote
          1
          down vote



          accepted






          Surely. You can thin of elements of $L^1$ as (real or complex )measures and convolution of functions in $L^1$ is a special case of convolution of measures. The delta function is a unit element for measures under convolution. (To think of an $L^1$ function $f$ as mesure just consider $dmu (x) =f(x),dx$).






          share|cite|improve this answer













          Surely. You can thin of elements of $L^1$ as (real or complex )measures and convolution of functions in $L^1$ is a special case of convolution of measures. The delta function is a unit element for measures under convolution. (To think of an $L^1$ function $f$ as mesure just consider $dmu (x) =f(x),dx$).







          share|cite|improve this answer













          share|cite|improve this answer



          share|cite|improve this answer











          answered Jul 24 at 11:45









          Kavi Rama Murthy

          20.2k2829




          20.2k2829











          • Thank you, helped very much. I just don't see yet, why $int_Eint_mathbb Rf(x-y)dmu_g(y)dx=int_Eint_mathbb Rf(x-y)g(y)dydx$.
            – Janis Papewalis
            Jul 24 at 12:13










          • ah its clear, algebraic induction.
            – Janis Papewalis
            Jul 24 at 12:22










          • One can also embed $L^1$ in the space of distributions $mathscr D'.$
            – md2perpe
            Jul 24 at 13:07
















          • Thank you, helped very much. I just don't see yet, why $int_Eint_mathbb Rf(x-y)dmu_g(y)dx=int_Eint_mathbb Rf(x-y)g(y)dydx$.
            – Janis Papewalis
            Jul 24 at 12:13










          • ah its clear, algebraic induction.
            – Janis Papewalis
            Jul 24 at 12:22










          • One can also embed $L^1$ in the space of distributions $mathscr D'.$
            – md2perpe
            Jul 24 at 13:07















          Thank you, helped very much. I just don't see yet, why $int_Eint_mathbb Rf(x-y)dmu_g(y)dx=int_Eint_mathbb Rf(x-y)g(y)dydx$.
          – Janis Papewalis
          Jul 24 at 12:13




          Thank you, helped very much. I just don't see yet, why $int_Eint_mathbb Rf(x-y)dmu_g(y)dx=int_Eint_mathbb Rf(x-y)g(y)dydx$.
          – Janis Papewalis
          Jul 24 at 12:13












          ah its clear, algebraic induction.
          – Janis Papewalis
          Jul 24 at 12:22




          ah its clear, algebraic induction.
          – Janis Papewalis
          Jul 24 at 12:22












          One can also embed $L^1$ in the space of distributions $mathscr D'.$
          – md2perpe
          Jul 24 at 13:07




          One can also embed $L^1$ in the space of distributions $mathscr D'.$
          – md2perpe
          Jul 24 at 13:07












           

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