Differentiating a function that is defined generally (for eg, $ f (x_1, x_2, … x_n) $)












0












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If I'm asked to differentiate a function that is simply of the form: $ f(tx_1, tx_2, ... tx_n) $ (i.e., the function is not "defined" to be particularly anything), how should I go about this? I want to differentiate with respect to $ t$.



Context: Let's say we have a homogeneous function of with degree $ k $.



Thus,



$$ f( tx_1, tx_2, ... tx_n) = t^k f(x_1, x_2, ... x_n) $$



Differentiating on both sides with respect to $ t$, we get,



$$ x_1 f_1 (tx_1, tx_2, ... tx_n) + ... + x_n f_n (tx_1, tx_2, ... tx_n) = k cdot t^{k-1} cdot f(x_1, .. x_n) $$




  1. On the RHS, why we differnetiate with respect to to get $ k cdot t^{k-1} $. Because the function on the RHS is a constant (i.e., it doesn't depend on t, we write it as it is)


  2. On the LHS, why do we have: $ x_n f_n(tx_1, tx_2,dots, tx_n)$ for each term?











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  • $begingroup$
    Shouldn't your RHS be $k cdot t^{k-1} cdot f(x_1, dots, x_n)$? (without the $t$ inside)
    $endgroup$
    – BigbearZzz
    Jan 17 at 11:22










  • $begingroup$
    Yes, sorry. That was a mistake on my part.
    $endgroup$
    – WorldGov
    Jan 17 at 11:23










  • $begingroup$
    You need to assume that $k>1$. For $k>1$, you may fact out the variable $x_1$ first, then factor out the variable $x_2$ from the remainder and so on. Try to write down an example and you'll see it is simple.
    $endgroup$
    – James
    Jan 17 at 11:27
















0












$begingroup$


If I'm asked to differentiate a function that is simply of the form: $ f(tx_1, tx_2, ... tx_n) $ (i.e., the function is not "defined" to be particularly anything), how should I go about this? I want to differentiate with respect to $ t$.



Context: Let's say we have a homogeneous function of with degree $ k $.



Thus,



$$ f( tx_1, tx_2, ... tx_n) = t^k f(x_1, x_2, ... x_n) $$



Differentiating on both sides with respect to $ t$, we get,



$$ x_1 f_1 (tx_1, tx_2, ... tx_n) + ... + x_n f_n (tx_1, tx_2, ... tx_n) = k cdot t^{k-1} cdot f(x_1, .. x_n) $$




  1. On the RHS, why we differnetiate with respect to to get $ k cdot t^{k-1} $. Because the function on the RHS is a constant (i.e., it doesn't depend on t, we write it as it is)


  2. On the LHS, why do we have: $ x_n f_n(tx_1, tx_2,dots, tx_n)$ for each term?











share|cite|improve this question











$endgroup$












  • $begingroup$
    Shouldn't your RHS be $k cdot t^{k-1} cdot f(x_1, dots, x_n)$? (without the $t$ inside)
    $endgroup$
    – BigbearZzz
    Jan 17 at 11:22










  • $begingroup$
    Yes, sorry. That was a mistake on my part.
    $endgroup$
    – WorldGov
    Jan 17 at 11:23










  • $begingroup$
    You need to assume that $k>1$. For $k>1$, you may fact out the variable $x_1$ first, then factor out the variable $x_2$ from the remainder and so on. Try to write down an example and you'll see it is simple.
    $endgroup$
    – James
    Jan 17 at 11:27














0












0








0





$begingroup$


If I'm asked to differentiate a function that is simply of the form: $ f(tx_1, tx_2, ... tx_n) $ (i.e., the function is not "defined" to be particularly anything), how should I go about this? I want to differentiate with respect to $ t$.



Context: Let's say we have a homogeneous function of with degree $ k $.



Thus,



$$ f( tx_1, tx_2, ... tx_n) = t^k f(x_1, x_2, ... x_n) $$



Differentiating on both sides with respect to $ t$, we get,



$$ x_1 f_1 (tx_1, tx_2, ... tx_n) + ... + x_n f_n (tx_1, tx_2, ... tx_n) = k cdot t^{k-1} cdot f(x_1, .. x_n) $$




  1. On the RHS, why we differnetiate with respect to to get $ k cdot t^{k-1} $. Because the function on the RHS is a constant (i.e., it doesn't depend on t, we write it as it is)


  2. On the LHS, why do we have: $ x_n f_n(tx_1, tx_2,dots, tx_n)$ for each term?











share|cite|improve this question











$endgroup$




If I'm asked to differentiate a function that is simply of the form: $ f(tx_1, tx_2, ... tx_n) $ (i.e., the function is not "defined" to be particularly anything), how should I go about this? I want to differentiate with respect to $ t$.



Context: Let's say we have a homogeneous function of with degree $ k $.



Thus,



$$ f( tx_1, tx_2, ... tx_n) = t^k f(x_1, x_2, ... x_n) $$



Differentiating on both sides with respect to $ t$, we get,



$$ x_1 f_1 (tx_1, tx_2, ... tx_n) + ... + x_n f_n (tx_1, tx_2, ... tx_n) = k cdot t^{k-1} cdot f(x_1, .. x_n) $$




  1. On the RHS, why we differnetiate with respect to to get $ k cdot t^{k-1} $. Because the function on the RHS is a constant (i.e., it doesn't depend on t, we write it as it is)


  2. On the LHS, why do we have: $ x_n f_n(tx_1, tx_2,dots, tx_n)$ for each term?








multivariable-calculus derivatives implicit-differentiation






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edited Jan 17 at 11:33









Christoph

12k1642




12k1642










asked Jan 17 at 11:19









WorldGovWorldGov

305111




305111












  • $begingroup$
    Shouldn't your RHS be $k cdot t^{k-1} cdot f(x_1, dots, x_n)$? (without the $t$ inside)
    $endgroup$
    – BigbearZzz
    Jan 17 at 11:22










  • $begingroup$
    Yes, sorry. That was a mistake on my part.
    $endgroup$
    – WorldGov
    Jan 17 at 11:23










  • $begingroup$
    You need to assume that $k>1$. For $k>1$, you may fact out the variable $x_1$ first, then factor out the variable $x_2$ from the remainder and so on. Try to write down an example and you'll see it is simple.
    $endgroup$
    – James
    Jan 17 at 11:27


















  • $begingroup$
    Shouldn't your RHS be $k cdot t^{k-1} cdot f(x_1, dots, x_n)$? (without the $t$ inside)
    $endgroup$
    – BigbearZzz
    Jan 17 at 11:22










  • $begingroup$
    Yes, sorry. That was a mistake on my part.
    $endgroup$
    – WorldGov
    Jan 17 at 11:23










  • $begingroup$
    You need to assume that $k>1$. For $k>1$, you may fact out the variable $x_1$ first, then factor out the variable $x_2$ from the remainder and so on. Try to write down an example and you'll see it is simple.
    $endgroup$
    – James
    Jan 17 at 11:27
















$begingroup$
Shouldn't your RHS be $k cdot t^{k-1} cdot f(x_1, dots, x_n)$? (without the $t$ inside)
$endgroup$
– BigbearZzz
Jan 17 at 11:22




$begingroup$
Shouldn't your RHS be $k cdot t^{k-1} cdot f(x_1, dots, x_n)$? (without the $t$ inside)
$endgroup$
– BigbearZzz
Jan 17 at 11:22












$begingroup$
Yes, sorry. That was a mistake on my part.
$endgroup$
– WorldGov
Jan 17 at 11:23




$begingroup$
Yes, sorry. That was a mistake on my part.
$endgroup$
– WorldGov
Jan 17 at 11:23












$begingroup$
You need to assume that $k>1$. For $k>1$, you may fact out the variable $x_1$ first, then factor out the variable $x_2$ from the remainder and so on. Try to write down an example and you'll see it is simple.
$endgroup$
– James
Jan 17 at 11:27




$begingroup$
You need to assume that $k>1$. For $k>1$, you may fact out the variable $x_1$ first, then factor out the variable $x_2$ from the remainder and so on. Try to write down an example and you'll see it is simple.
$endgroup$
– James
Jan 17 at 11:27










1 Answer
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$begingroup$

On the RHS, you just apply the usual rules of single variable calculus. The factor $t^k$ becomes $k t^{k-1}$ and $f(x_1,dots,x_n)$ is constant with respect to $t$, so you can just keep it.



For the LHS you are looking for the chain rule for multivariable functions. If $f(x_1,dots,x_n)$ is a function of $n$ variables and you have $n$ functions $z_1(t),dots,z_n(t)$ each of one variable $t$, then



$$
frac{mathrm d}{mathrm dt} f(z_1(t),dots,z_n(t)) = frac{partial f}{partial x_1}(z_1(t),dots,z_n(t)) cdot frac{mathrm dz_1}{mathrm dt}(t) + dots +frac{partial f}{partial x_n}(z_1(t),dots,z_n(t)) cdot frac{mathrm dz_n}{mathrm dt}(t)
$$



In your example you have $z_i(t) = tx_i$ so that $frac{mathrm dz_i}{mathrm dt}(t) = x_i$.






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    $begingroup$

    On the RHS, you just apply the usual rules of single variable calculus. The factor $t^k$ becomes $k t^{k-1}$ and $f(x_1,dots,x_n)$ is constant with respect to $t$, so you can just keep it.



    For the LHS you are looking for the chain rule for multivariable functions. If $f(x_1,dots,x_n)$ is a function of $n$ variables and you have $n$ functions $z_1(t),dots,z_n(t)$ each of one variable $t$, then



    $$
    frac{mathrm d}{mathrm dt} f(z_1(t),dots,z_n(t)) = frac{partial f}{partial x_1}(z_1(t),dots,z_n(t)) cdot frac{mathrm dz_1}{mathrm dt}(t) + dots +frac{partial f}{partial x_n}(z_1(t),dots,z_n(t)) cdot frac{mathrm dz_n}{mathrm dt}(t)
    $$



    In your example you have $z_i(t) = tx_i$ so that $frac{mathrm dz_i}{mathrm dt}(t) = x_i$.






    share|cite|improve this answer











    $endgroup$


















      1












      $begingroup$

      On the RHS, you just apply the usual rules of single variable calculus. The factor $t^k$ becomes $k t^{k-1}$ and $f(x_1,dots,x_n)$ is constant with respect to $t$, so you can just keep it.



      For the LHS you are looking for the chain rule for multivariable functions. If $f(x_1,dots,x_n)$ is a function of $n$ variables and you have $n$ functions $z_1(t),dots,z_n(t)$ each of one variable $t$, then



      $$
      frac{mathrm d}{mathrm dt} f(z_1(t),dots,z_n(t)) = frac{partial f}{partial x_1}(z_1(t),dots,z_n(t)) cdot frac{mathrm dz_1}{mathrm dt}(t) + dots +frac{partial f}{partial x_n}(z_1(t),dots,z_n(t)) cdot frac{mathrm dz_n}{mathrm dt}(t)
      $$



      In your example you have $z_i(t) = tx_i$ so that $frac{mathrm dz_i}{mathrm dt}(t) = x_i$.






      share|cite|improve this answer











      $endgroup$
















        1












        1








        1





        $begingroup$

        On the RHS, you just apply the usual rules of single variable calculus. The factor $t^k$ becomes $k t^{k-1}$ and $f(x_1,dots,x_n)$ is constant with respect to $t$, so you can just keep it.



        For the LHS you are looking for the chain rule for multivariable functions. If $f(x_1,dots,x_n)$ is a function of $n$ variables and you have $n$ functions $z_1(t),dots,z_n(t)$ each of one variable $t$, then



        $$
        frac{mathrm d}{mathrm dt} f(z_1(t),dots,z_n(t)) = frac{partial f}{partial x_1}(z_1(t),dots,z_n(t)) cdot frac{mathrm dz_1}{mathrm dt}(t) + dots +frac{partial f}{partial x_n}(z_1(t),dots,z_n(t)) cdot frac{mathrm dz_n}{mathrm dt}(t)
        $$



        In your example you have $z_i(t) = tx_i$ so that $frac{mathrm dz_i}{mathrm dt}(t) = x_i$.






        share|cite|improve this answer











        $endgroup$



        On the RHS, you just apply the usual rules of single variable calculus. The factor $t^k$ becomes $k t^{k-1}$ and $f(x_1,dots,x_n)$ is constant with respect to $t$, so you can just keep it.



        For the LHS you are looking for the chain rule for multivariable functions. If $f(x_1,dots,x_n)$ is a function of $n$ variables and you have $n$ functions $z_1(t),dots,z_n(t)$ each of one variable $t$, then



        $$
        frac{mathrm d}{mathrm dt} f(z_1(t),dots,z_n(t)) = frac{partial f}{partial x_1}(z_1(t),dots,z_n(t)) cdot frac{mathrm dz_1}{mathrm dt}(t) + dots +frac{partial f}{partial x_n}(z_1(t),dots,z_n(t)) cdot frac{mathrm dz_n}{mathrm dt}(t)
        $$



        In your example you have $z_i(t) = tx_i$ so that $frac{mathrm dz_i}{mathrm dt}(t) = x_i$.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Jan 17 at 11:38

























        answered Jan 17 at 11:32









        ChristophChristoph

        12k1642




        12k1642






























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