P-norm of the Poisson Kernel












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If we have $P_r(theta)=sum_{n=-infty}^{infty}r^{|n|}e^{intheta}=frac{1-r^2}{1-2rcos(theta)+r^2},$



Is there a quick way to compute the norm $|P_r|_p$, or an upper estimate?










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    0












    $begingroup$


    If we have $P_r(theta)=sum_{n=-infty}^{infty}r^{|n|}e^{intheta}=frac{1-r^2}{1-2rcos(theta)+r^2},$



    Is there a quick way to compute the norm $|P_r|_p$, or an upper estimate?










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      If we have $P_r(theta)=sum_{n=-infty}^{infty}r^{|n|}e^{intheta}=frac{1-r^2}{1-2rcos(theta)+r^2},$



      Is there a quick way to compute the norm $|P_r|_p$, or an upper estimate?










      share|cite|improve this question









      $endgroup$




      If we have $P_r(theta)=sum_{n=-infty}^{infty}r^{|n|}e^{intheta}=frac{1-r^2}{1-2rcos(theta)+r^2},$



      Is there a quick way to compute the norm $|P_r|_p$, or an upper estimate?







      complex-analysis analysis harmonic-functions






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      asked Jan 26 at 13:19









      Mark_HoffmanMark_Hoffman

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          "Compute" $||P_r||_p$? II doubt it; in fact I doubt that a closed form exists.



          An upper estimate? Certainly. It's clear that $$||P_r||_infty=frac{1-r^2}{1-2r+r^2}=frac{1+r}{1-r},$$and assuming we're talking about the normalized Lebesgue measure $dt/2pi$ as usual it's clear that $$||P_r||_ple||P_r||_infty.$$



          Of course that's a hugely bad upper estimate. You could get something marginally better by noting that $||P_r||_1=1$ (since $P_r>0$ and the Fourier series shows that $int P_r=1$) and $$||P_r||_p^ple||P_r||_1||P_r||_infty^{p-1}.$$



          Edit: I find it surprising that in fact it's easy to show that such a crude estimate is best possible, within a constant multiple. We have $||P_r||_ple c/(1-r)^{1-1/p}$ and we want to show that $||P_r||_pge c/(1-r)^{1-1/p}$ of course with a different constant. Parseval shows that the second inequality holds for $p=2$, and now $$||P_r||_2^2le||P_r||_p||P_r||_{p'}$$gives the lower estimate on $||P_r||_p$ from the upper estimate on $||P_r||_{p'}$.






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            1 Answer
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            $begingroup$

            "Compute" $||P_r||_p$? II doubt it; in fact I doubt that a closed form exists.



            An upper estimate? Certainly. It's clear that $$||P_r||_infty=frac{1-r^2}{1-2r+r^2}=frac{1+r}{1-r},$$and assuming we're talking about the normalized Lebesgue measure $dt/2pi$ as usual it's clear that $$||P_r||_ple||P_r||_infty.$$



            Of course that's a hugely bad upper estimate. You could get something marginally better by noting that $||P_r||_1=1$ (since $P_r>0$ and the Fourier series shows that $int P_r=1$) and $$||P_r||_p^ple||P_r||_1||P_r||_infty^{p-1}.$$



            Edit: I find it surprising that in fact it's easy to show that such a crude estimate is best possible, within a constant multiple. We have $||P_r||_ple c/(1-r)^{1-1/p}$ and we want to show that $||P_r||_pge c/(1-r)^{1-1/p}$ of course with a different constant. Parseval shows that the second inequality holds for $p=2$, and now $$||P_r||_2^2le||P_r||_p||P_r||_{p'}$$gives the lower estimate on $||P_r||_p$ from the upper estimate on $||P_r||_{p'}$.






            share|cite|improve this answer











            $endgroup$


















              2












              $begingroup$

              "Compute" $||P_r||_p$? II doubt it; in fact I doubt that a closed form exists.



              An upper estimate? Certainly. It's clear that $$||P_r||_infty=frac{1-r^2}{1-2r+r^2}=frac{1+r}{1-r},$$and assuming we're talking about the normalized Lebesgue measure $dt/2pi$ as usual it's clear that $$||P_r||_ple||P_r||_infty.$$



              Of course that's a hugely bad upper estimate. You could get something marginally better by noting that $||P_r||_1=1$ (since $P_r>0$ and the Fourier series shows that $int P_r=1$) and $$||P_r||_p^ple||P_r||_1||P_r||_infty^{p-1}.$$



              Edit: I find it surprising that in fact it's easy to show that such a crude estimate is best possible, within a constant multiple. We have $||P_r||_ple c/(1-r)^{1-1/p}$ and we want to show that $||P_r||_pge c/(1-r)^{1-1/p}$ of course with a different constant. Parseval shows that the second inequality holds for $p=2$, and now $$||P_r||_2^2le||P_r||_p||P_r||_{p'}$$gives the lower estimate on $||P_r||_p$ from the upper estimate on $||P_r||_{p'}$.






              share|cite|improve this answer











              $endgroup$
















                2












                2








                2





                $begingroup$

                "Compute" $||P_r||_p$? II doubt it; in fact I doubt that a closed form exists.



                An upper estimate? Certainly. It's clear that $$||P_r||_infty=frac{1-r^2}{1-2r+r^2}=frac{1+r}{1-r},$$and assuming we're talking about the normalized Lebesgue measure $dt/2pi$ as usual it's clear that $$||P_r||_ple||P_r||_infty.$$



                Of course that's a hugely bad upper estimate. You could get something marginally better by noting that $||P_r||_1=1$ (since $P_r>0$ and the Fourier series shows that $int P_r=1$) and $$||P_r||_p^ple||P_r||_1||P_r||_infty^{p-1}.$$



                Edit: I find it surprising that in fact it's easy to show that such a crude estimate is best possible, within a constant multiple. We have $||P_r||_ple c/(1-r)^{1-1/p}$ and we want to show that $||P_r||_pge c/(1-r)^{1-1/p}$ of course with a different constant. Parseval shows that the second inequality holds for $p=2$, and now $$||P_r||_2^2le||P_r||_p||P_r||_{p'}$$gives the lower estimate on $||P_r||_p$ from the upper estimate on $||P_r||_{p'}$.






                share|cite|improve this answer











                $endgroup$



                "Compute" $||P_r||_p$? II doubt it; in fact I doubt that a closed form exists.



                An upper estimate? Certainly. It's clear that $$||P_r||_infty=frac{1-r^2}{1-2r+r^2}=frac{1+r}{1-r},$$and assuming we're talking about the normalized Lebesgue measure $dt/2pi$ as usual it's clear that $$||P_r||_ple||P_r||_infty.$$



                Of course that's a hugely bad upper estimate. You could get something marginally better by noting that $||P_r||_1=1$ (since $P_r>0$ and the Fourier series shows that $int P_r=1$) and $$||P_r||_p^ple||P_r||_1||P_r||_infty^{p-1}.$$



                Edit: I find it surprising that in fact it's easy to show that such a crude estimate is best possible, within a constant multiple. We have $||P_r||_ple c/(1-r)^{1-1/p}$ and we want to show that $||P_r||_pge c/(1-r)^{1-1/p}$ of course with a different constant. Parseval shows that the second inequality holds for $p=2$, and now $$||P_r||_2^2le||P_r||_p||P_r||_{p'}$$gives the lower estimate on $||P_r||_p$ from the upper estimate on $||P_r||_{p'}$.







                share|cite|improve this answer














                share|cite|improve this answer



                share|cite|improve this answer








                edited Jan 26 at 17:13

























                answered Jan 26 at 16:04









                David C. UllrichDavid C. Ullrich

                61.6k43994




                61.6k43994






























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