Finding whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. [duplicate] Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n + (log n)^2$, $g(n) = n + log(n^2)$.When does L'Hopital's rule pick up asymptotics?Taking the log of both sides to determine big Theta/Omega/OProve that $log(n^n)=Theta(log(n!))$Big O, Omega and Theta NotationHow to disprove $n^3 = Omega(9^log_2(n))$Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$ for given $f$ and $g$Comparing the growth rate of two functions using L'Hopital's ruleProve whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n + (log n)^2$, $g(n) = n + log(n^2)$.Is this solution correct? Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$.

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Finding whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. [duplicate]



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n + (log n)^2$, $g(n) = n + log(n^2)$.When does L'Hopital's rule pick up asymptotics?Taking the log of both sides to determine big Theta/Omega/OProve that $log(n^n)=Theta(log(n!))$Big O, Omega and Theta NotationHow to disprove $n^3 = Omega(9^log_2(n))$Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$ for given $f$ and $g$Comparing the growth rate of two functions using L'Hopital's ruleProve whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n + (log n)^2$, $g(n) = n + log(n^2)$.Is this solution correct? Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$.










0












$begingroup$



This question already has an answer here:



  • Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n + (log n)^2$, $g(n) = n + log(n^2)$.

    2 answers



$f(n) = n + (log n)^2, quad g(n) = n + log(n^2)$.



Log is assumed to be base 2.



Now I put this in the as $f(n)/g(n)$ which is of the form $frac inftyinfty$. So then I applied L'hopital's rule giving me



$f(n) = 1 + 2 log(n) frac1n(ln(2))$



$g(n) = 1 + 2 frac1n(ln(2))$ now if I do $f(n)/g(n)$ I get



$frac 1 + 2 log(n) frac1n(ln(2)) 1 + 2frac1n(ln(2))$



Now since the $frac1n(ln(2))$ part in both equations tends to 0, I'm left with 1/1 and thus $f(n) = Theta g(n)$



Is this correct?










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marked as duplicate by Peter Foreman, Community Mar 25 at 21:27


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.













  • 1




    $begingroup$
    Yes. More precisely $fsim g$, but you were not given that option. All among your options that are satisfied are $O, Omega$, and $Theta$.
    $endgroup$
    – user647486
    Mar 25 at 20:53
















0












$begingroup$



This question already has an answer here:



  • Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n + (log n)^2$, $g(n) = n + log(n^2)$.

    2 answers



$f(n) = n + (log n)^2, quad g(n) = n + log(n^2)$.



Log is assumed to be base 2.



Now I put this in the as $f(n)/g(n)$ which is of the form $frac inftyinfty$. So then I applied L'hopital's rule giving me



$f(n) = 1 + 2 log(n) frac1n(ln(2))$



$g(n) = 1 + 2 frac1n(ln(2))$ now if I do $f(n)/g(n)$ I get



$frac 1 + 2 log(n) frac1n(ln(2)) 1 + 2frac1n(ln(2))$



Now since the $frac1n(ln(2))$ part in both equations tends to 0, I'm left with 1/1 and thus $f(n) = Theta g(n)$



Is this correct?










share|cite|improve this question











$endgroup$



marked as duplicate by Peter Foreman, Community Mar 25 at 21:27


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.













  • 1




    $begingroup$
    Yes. More precisely $fsim g$, but you were not given that option. All among your options that are satisfied are $O, Omega$, and $Theta$.
    $endgroup$
    – user647486
    Mar 25 at 20:53














0












0








0





$begingroup$



This question already has an answer here:



  • Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n + (log n)^2$, $g(n) = n + log(n^2)$.

    2 answers



$f(n) = n + (log n)^2, quad g(n) = n + log(n^2)$.



Log is assumed to be base 2.



Now I put this in the as $f(n)/g(n)$ which is of the form $frac inftyinfty$. So then I applied L'hopital's rule giving me



$f(n) = 1 + 2 log(n) frac1n(ln(2))$



$g(n) = 1 + 2 frac1n(ln(2))$ now if I do $f(n)/g(n)$ I get



$frac 1 + 2 log(n) frac1n(ln(2)) 1 + 2frac1n(ln(2))$



Now since the $frac1n(ln(2))$ part in both equations tends to 0, I'm left with 1/1 and thus $f(n) = Theta g(n)$



Is this correct?










share|cite|improve this question











$endgroup$





This question already has an answer here:



  • Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n + (log n)^2$, $g(n) = n + log(n^2)$.

    2 answers



$f(n) = n + (log n)^2, quad g(n) = n + log(n^2)$.



Log is assumed to be base 2.



Now I put this in the as $f(n)/g(n)$ which is of the form $frac inftyinfty$. So then I applied L'hopital's rule giving me



$f(n) = 1 + 2 log(n) frac1n(ln(2))$



$g(n) = 1 + 2 frac1n(ln(2))$ now if I do $f(n)/g(n)$ I get



$frac 1 + 2 log(n) frac1n(ln(2)) 1 + 2frac1n(ln(2))$



Now since the $frac1n(ln(2))$ part in both equations tends to 0, I'm left with 1/1 and thus $f(n) = Theta g(n)$



Is this correct?





This question already has an answer here:



  • Prove whether $f(n)$ is $O$, $o$, $Omega$, $omega$ or $Theta$ of $g(n)$. $f(n) = n + (log n)^2$, $g(n) = n + log(n^2)$.

    2 answers







discrete-mathematics asymptotics






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share|cite|improve this question













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edited Mar 25 at 20:58









avs

4,197515




4,197515










asked Mar 25 at 20:43









BrownieBrownie

3327




3327




marked as duplicate by Peter Foreman, Community Mar 25 at 21:27


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.









marked as duplicate by Peter Foreman, Community Mar 25 at 21:27


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.









  • 1




    $begingroup$
    Yes. More precisely $fsim g$, but you were not given that option. All among your options that are satisfied are $O, Omega$, and $Theta$.
    $endgroup$
    – user647486
    Mar 25 at 20:53













  • 1




    $begingroup$
    Yes. More precisely $fsim g$, but you were not given that option. All among your options that are satisfied are $O, Omega$, and $Theta$.
    $endgroup$
    – user647486
    Mar 25 at 20:53








1




1




$begingroup$
Yes. More precisely $fsim g$, but you were not given that option. All among your options that are satisfied are $O, Omega$, and $Theta$.
$endgroup$
– user647486
Mar 25 at 20:53





$begingroup$
Yes. More precisely $fsim g$, but you were not given that option. All among your options that are satisfied are $O, Omega$, and $Theta$.
$endgroup$
– user647486
Mar 25 at 20:53











2 Answers
2






active

oldest

votes


















0












$begingroup$

Yes. We can also use another approach, without the heavy artillery of L'H^opital's Rule:
$$
f(n) over g(n)
= n + (log n)^2 over n + log (n^2)
= n + (log n)^2 over n + 2 log n
= n ; (1 + (log n)^2/n) over n ; (1 + 2 (log n) /n)
= 1 + (log n)^2/n over 1 + 2 (log n) /n.
$$

We see that, as $n rightarrow infty$, both the numerator and denominator tend to $1$.






share|cite|improve this answer









$endgroup$




















    0












    $begingroup$

    Of course, more than one of those relations can hold. Let's consider them one at a time, all under the assumption that the discussion is about large $n$ asymptotics.



    $f(n) = mboxO (g(n))$ for large $n$ if there is some $n_0$ and a constant $C$ such that
    for all $n>n_0$,
    $$
    |f(n)| leq C|g(n))|
    $$

    Since $f(n) = n+(log n) log n$ and $g(n) = n+2log n$, we can take $n_0 = 10$ and $C = 2$ to show that this definition is met:
    $$
    n > 10 implies n > (log n) log n implies (log n) log n < frac nlog n\
    n + (log n) log n < n + frac nlog n log n = frac n2+ left( fracn2log n+ frac nlog nright)log n < frac n2+ 2log n
    $$



    $f(n) = mboxo (g(n))$ for large $n$ if for any fixed positive $epsilon$ there is some $n_0$ (which may depend on $epsilon$ there is some $n_0$ and a constant $C$ such that
    for all $n>n_0$,
    $$
    |f(n)| leq epsilon|g(n))|
    $$

    Since $$frac = 1 + frac(n-2)log nn+2log n$$ and $g(n) = n+2log n >1$ for $n>2$, testing against any $epsilon <1$ reveals that $f(n)$ is not $mboxo(g(n))$.



    You can also, in this way, show that $g(n)$ is not $mboxo(f(n))$



    $f(n) = Omega (g(n))$ for large $n$ if there is some $n_0$ and a constant $C >0$ such that for all $n>n_0$,
    $$
    |f(n)| geq C|g(n))|
    $$

    (That is, $f(n) = Omega (g(n))$ if and only if $g(n) = mboxOf(n)$.) Take $C = frac12$ and
    $n_0 = 10$; then to show $g(n) = mboxOf(n)$ it suffices to show that when $n > 10$
    $$
    n + (log n) log n < 2 n + 4log n
    $$

    Show this by noting that the derivative of
    $$
    2n + 4 log n = n + left(fracnlog n+4right) log n > n + left(fracnlog nright) log n > n + (log n) log n
    $$



    Finally, since the big O applies in both directions, $f(n) = Theta(g(n))$.






    share|cite|improve this answer









    $endgroup$



















      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      0












      $begingroup$

      Yes. We can also use another approach, without the heavy artillery of L'H^opital's Rule:
      $$
      f(n) over g(n)
      = n + (log n)^2 over n + log (n^2)
      = n + (log n)^2 over n + 2 log n
      = n ; (1 + (log n)^2/n) over n ; (1 + 2 (log n) /n)
      = 1 + (log n)^2/n over 1 + 2 (log n) /n.
      $$

      We see that, as $n rightarrow infty$, both the numerator and denominator tend to $1$.






      share|cite|improve this answer









      $endgroup$

















        0












        $begingroup$

        Yes. We can also use another approach, without the heavy artillery of L'H^opital's Rule:
        $$
        f(n) over g(n)
        = n + (log n)^2 over n + log (n^2)
        = n + (log n)^2 over n + 2 log n
        = n ; (1 + (log n)^2/n) over n ; (1 + 2 (log n) /n)
        = 1 + (log n)^2/n over 1 + 2 (log n) /n.
        $$

        We see that, as $n rightarrow infty$, both the numerator and denominator tend to $1$.






        share|cite|improve this answer









        $endgroup$















          0












          0








          0





          $begingroup$

          Yes. We can also use another approach, without the heavy artillery of L'H^opital's Rule:
          $$
          f(n) over g(n)
          = n + (log n)^2 over n + log (n^2)
          = n + (log n)^2 over n + 2 log n
          = n ; (1 + (log n)^2/n) over n ; (1 + 2 (log n) /n)
          = 1 + (log n)^2/n over 1 + 2 (log n) /n.
          $$

          We see that, as $n rightarrow infty$, both the numerator and denominator tend to $1$.






          share|cite|improve this answer









          $endgroup$



          Yes. We can also use another approach, without the heavy artillery of L'H^opital's Rule:
          $$
          f(n) over g(n)
          = n + (log n)^2 over n + log (n^2)
          = n + (log n)^2 over n + 2 log n
          = n ; (1 + (log n)^2/n) over n ; (1 + 2 (log n) /n)
          = 1 + (log n)^2/n over 1 + 2 (log n) /n.
          $$

          We see that, as $n rightarrow infty$, both the numerator and denominator tend to $1$.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Mar 25 at 21:04









          avsavs

          4,197515




          4,197515





















              0












              $begingroup$

              Of course, more than one of those relations can hold. Let's consider them one at a time, all under the assumption that the discussion is about large $n$ asymptotics.



              $f(n) = mboxO (g(n))$ for large $n$ if there is some $n_0$ and a constant $C$ such that
              for all $n>n_0$,
              $$
              |f(n)| leq C|g(n))|
              $$

              Since $f(n) = n+(log n) log n$ and $g(n) = n+2log n$, we can take $n_0 = 10$ and $C = 2$ to show that this definition is met:
              $$
              n > 10 implies n > (log n) log n implies (log n) log n < frac nlog n\
              n + (log n) log n < n + frac nlog n log n = frac n2+ left( fracn2log n+ frac nlog nright)log n < frac n2+ 2log n
              $$



              $f(n) = mboxo (g(n))$ for large $n$ if for any fixed positive $epsilon$ there is some $n_0$ (which may depend on $epsilon$ there is some $n_0$ and a constant $C$ such that
              for all $n>n_0$,
              $$
              |f(n)| leq epsilon|g(n))|
              $$

              Since $$frac = 1 + frac(n-2)log nn+2log n$$ and $g(n) = n+2log n >1$ for $n>2$, testing against any $epsilon <1$ reveals that $f(n)$ is not $mboxo(g(n))$.



              You can also, in this way, show that $g(n)$ is not $mboxo(f(n))$



              $f(n) = Omega (g(n))$ for large $n$ if there is some $n_0$ and a constant $C >0$ such that for all $n>n_0$,
              $$
              |f(n)| geq C|g(n))|
              $$

              (That is, $f(n) = Omega (g(n))$ if and only if $g(n) = mboxOf(n)$.) Take $C = frac12$ and
              $n_0 = 10$; then to show $g(n) = mboxOf(n)$ it suffices to show that when $n > 10$
              $$
              n + (log n) log n < 2 n + 4log n
              $$

              Show this by noting that the derivative of
              $$
              2n + 4 log n = n + left(fracnlog n+4right) log n > n + left(fracnlog nright) log n > n + (log n) log n
              $$



              Finally, since the big O applies in both directions, $f(n) = Theta(g(n))$.






              share|cite|improve this answer









              $endgroup$

















                0












                $begingroup$

                Of course, more than one of those relations can hold. Let's consider them one at a time, all under the assumption that the discussion is about large $n$ asymptotics.



                $f(n) = mboxO (g(n))$ for large $n$ if there is some $n_0$ and a constant $C$ such that
                for all $n>n_0$,
                $$
                |f(n)| leq C|g(n))|
                $$

                Since $f(n) = n+(log n) log n$ and $g(n) = n+2log n$, we can take $n_0 = 10$ and $C = 2$ to show that this definition is met:
                $$
                n > 10 implies n > (log n) log n implies (log n) log n < frac nlog n\
                n + (log n) log n < n + frac nlog n log n = frac n2+ left( fracn2log n+ frac nlog nright)log n < frac n2+ 2log n
                $$



                $f(n) = mboxo (g(n))$ for large $n$ if for any fixed positive $epsilon$ there is some $n_0$ (which may depend on $epsilon$ there is some $n_0$ and a constant $C$ such that
                for all $n>n_0$,
                $$
                |f(n)| leq epsilon|g(n))|
                $$

                Since $$frac = 1 + frac(n-2)log nn+2log n$$ and $g(n) = n+2log n >1$ for $n>2$, testing against any $epsilon <1$ reveals that $f(n)$ is not $mboxo(g(n))$.



                You can also, in this way, show that $g(n)$ is not $mboxo(f(n))$



                $f(n) = Omega (g(n))$ for large $n$ if there is some $n_0$ and a constant $C >0$ such that for all $n>n_0$,
                $$
                |f(n)| geq C|g(n))|
                $$

                (That is, $f(n) = Omega (g(n))$ if and only if $g(n) = mboxOf(n)$.) Take $C = frac12$ and
                $n_0 = 10$; then to show $g(n) = mboxOf(n)$ it suffices to show that when $n > 10$
                $$
                n + (log n) log n < 2 n + 4log n
                $$

                Show this by noting that the derivative of
                $$
                2n + 4 log n = n + left(fracnlog n+4right) log n > n + left(fracnlog nright) log n > n + (log n) log n
                $$



                Finally, since the big O applies in both directions, $f(n) = Theta(g(n))$.






                share|cite|improve this answer









                $endgroup$















                  0












                  0








                  0





                  $begingroup$

                  Of course, more than one of those relations can hold. Let's consider them one at a time, all under the assumption that the discussion is about large $n$ asymptotics.



                  $f(n) = mboxO (g(n))$ for large $n$ if there is some $n_0$ and a constant $C$ such that
                  for all $n>n_0$,
                  $$
                  |f(n)| leq C|g(n))|
                  $$

                  Since $f(n) = n+(log n) log n$ and $g(n) = n+2log n$, we can take $n_0 = 10$ and $C = 2$ to show that this definition is met:
                  $$
                  n > 10 implies n > (log n) log n implies (log n) log n < frac nlog n\
                  n + (log n) log n < n + frac nlog n log n = frac n2+ left( fracn2log n+ frac nlog nright)log n < frac n2+ 2log n
                  $$



                  $f(n) = mboxo (g(n))$ for large $n$ if for any fixed positive $epsilon$ there is some $n_0$ (which may depend on $epsilon$ there is some $n_0$ and a constant $C$ such that
                  for all $n>n_0$,
                  $$
                  |f(n)| leq epsilon|g(n))|
                  $$

                  Since $$frac = 1 + frac(n-2)log nn+2log n$$ and $g(n) = n+2log n >1$ for $n>2$, testing against any $epsilon <1$ reveals that $f(n)$ is not $mboxo(g(n))$.



                  You can also, in this way, show that $g(n)$ is not $mboxo(f(n))$



                  $f(n) = Omega (g(n))$ for large $n$ if there is some $n_0$ and a constant $C >0$ such that for all $n>n_0$,
                  $$
                  |f(n)| geq C|g(n))|
                  $$

                  (That is, $f(n) = Omega (g(n))$ if and only if $g(n) = mboxOf(n)$.) Take $C = frac12$ and
                  $n_0 = 10$; then to show $g(n) = mboxOf(n)$ it suffices to show that when $n > 10$
                  $$
                  n + (log n) log n < 2 n + 4log n
                  $$

                  Show this by noting that the derivative of
                  $$
                  2n + 4 log n = n + left(fracnlog n+4right) log n > n + left(fracnlog nright) log n > n + (log n) log n
                  $$



                  Finally, since the big O applies in both directions, $f(n) = Theta(g(n))$.






                  share|cite|improve this answer









                  $endgroup$



                  Of course, more than one of those relations can hold. Let's consider them one at a time, all under the assumption that the discussion is about large $n$ asymptotics.



                  $f(n) = mboxO (g(n))$ for large $n$ if there is some $n_0$ and a constant $C$ such that
                  for all $n>n_0$,
                  $$
                  |f(n)| leq C|g(n))|
                  $$

                  Since $f(n) = n+(log n) log n$ and $g(n) = n+2log n$, we can take $n_0 = 10$ and $C = 2$ to show that this definition is met:
                  $$
                  n > 10 implies n > (log n) log n implies (log n) log n < frac nlog n\
                  n + (log n) log n < n + frac nlog n log n = frac n2+ left( fracn2log n+ frac nlog nright)log n < frac n2+ 2log n
                  $$



                  $f(n) = mboxo (g(n))$ for large $n$ if for any fixed positive $epsilon$ there is some $n_0$ (which may depend on $epsilon$ there is some $n_0$ and a constant $C$ such that
                  for all $n>n_0$,
                  $$
                  |f(n)| leq epsilon|g(n))|
                  $$

                  Since $$frac = 1 + frac(n-2)log nn+2log n$$ and $g(n) = n+2log n >1$ for $n>2$, testing against any $epsilon <1$ reveals that $f(n)$ is not $mboxo(g(n))$.



                  You can also, in this way, show that $g(n)$ is not $mboxo(f(n))$



                  $f(n) = Omega (g(n))$ for large $n$ if there is some $n_0$ and a constant $C >0$ such that for all $n>n_0$,
                  $$
                  |f(n)| geq C|g(n))|
                  $$

                  (That is, $f(n) = Omega (g(n))$ if and only if $g(n) = mboxOf(n)$.) Take $C = frac12$ and
                  $n_0 = 10$; then to show $g(n) = mboxOf(n)$ it suffices to show that when $n > 10$
                  $$
                  n + (log n) log n < 2 n + 4log n
                  $$

                  Show this by noting that the derivative of
                  $$
                  2n + 4 log n = n + left(fracnlog n+4right) log n > n + left(fracnlog nright) log n > n + (log n) log n
                  $$



                  Finally, since the big O applies in both directions, $f(n) = Theta(g(n))$.







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Mar 25 at 21:41









                  Mark FischlerMark Fischler

                  34.2k12552




                  34.2k12552













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                      Kathakali Contents Etymology and nomenclature History Repertoire Songs and musical instruments Traditional plays Styles: Sampradayam Training centers and awards Relationship to other dance forms See also Notes References External links Navigation menueThe Illustrated Encyclopedia of Hinduism: A-MSouth Asian Folklore: An EncyclopediaRoutledge International Encyclopedia of Women: Global Women's Issues and KnowledgeKathakali Dance-drama: Where Gods and Demons Come to PlayKathakali Dance-drama: Where Gods and Demons Come to PlayKathakali Dance-drama: Where Gods and Demons Come to Play10.1353/atj.2005.0004The Illustrated Encyclopedia of Hinduism: A-MEncyclopedia of HinduismKathakali Dance-drama: Where Gods and Demons Come to PlaySonic Liturgy: Ritual and Music in Hindu Tradition"The Mirror of Gesture"Kathakali Dance-drama: Where Gods and Demons Come to Play"Kathakali"Indian Theatre: Traditions of PerformanceIndian Theatre: Traditions of PerformanceIndian Theatre: Traditions of PerformanceIndian Theatre: Traditions of PerformanceMedieval Indian Literature: An AnthologyThe Oxford Companion to Indian TheatreSouth Asian Folklore: An Encyclopedia : Afghanistan, Bangladesh, India, Nepal, Pakistan, Sri LankaThe Rise of Performance Studies: Rethinking Richard Schechner's Broad SpectrumIndian Theatre: Traditions of PerformanceModern Asian Theatre and Performance 1900-2000Critical Theory and PerformanceBetween Theater and AnthropologyKathakali603847011Indian Theatre: Traditions of PerformanceIndian Theatre: Traditions of PerformanceIndian Theatre: Traditions of PerformanceBetween Theater and AnthropologyBetween Theater and AnthropologyNambeesan Smaraka AwardsArchivedThe Cambridge Guide to TheatreRoutledge International Encyclopedia of Women: Global Women's Issues and KnowledgeThe Garland Encyclopedia of World Music: South Asia : the Indian subcontinentThe Ethos of Noh: Actors and Their Art10.2307/1145740By Means of Performance: Intercultural Studies of Theatre and Ritual10.1017/s204912550000100xReconceiving the Renaissance: A Critical ReaderPerformance TheoryListening to Theatre: The Aural Dimension of Beijing Opera10.2307/1146013Kathakali: The Art of the Non-WorldlyOn KathakaliKathakali, the dance theatreThe Kathakali Complex: Performance & StructureKathakali Dance-Drama: Where Gods and Demons Come to Play10.1093/obo/9780195399318-0071Drama and Ritual of Early Hinduism"In the Shadow of Hollywood Orientalism: Authentic East Indian Dancing"10.1080/08949460490274013Sanskrit Play Production in Ancient IndiaIndian Music: History and StructureBharata, the Nāṭyaśāstra233639306Table of Contents2238067286469807Dance In Indian Painting10.2307/32047833204783Kathakali Dance-Theatre: A Visual Narrative of Sacred Indian MimeIndian Classical Dance: The Renaissance and BeyondKathakali: an indigenous art-form of Keralaeee