\documentclass{article}%\usepackage{teaching}\title{Mathematical Methods: Tutorial sheet 9}\date{10 December 2004} \author{Peter Harrison}\renewcommand{\baselinestretch}{1}   % {1,1.25,1.667} = % single/1.5/double line spacing\newcommand{\answerblock}[1]{{\bf Solutions:}\nopagebreak[1]#1}\usepackage{mathchars}\newcommand{\nat}{\bbbn}\newcommand{\rat}{\bbbq}\newcommand{\real}{\bbbr}\newcommand{\integers}{\bbbz}\newcommand{\complex}{\ensuremath{\bbbc}}%\renewcommand{\rat}{Q \!\!\!\! O}%\renewcommand{\integers}{Z \!\!\! 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This is a {\em very} hard tutorial sheet whichis intended for detailed study with tutors.  You will {\em not} get exam questionson this material, but it is an important link with techniques in other courses:any that use complex functions and/or optimisation.}\bigskip{\bf Complex and 2-variable differentiation}\begin{enumerate}\item\begin{enumerate}\item Given that the complex functions $f(z), g(z)$ are differentiable, showthat the following functions are differentiable:\begin{enumerate}\item $f(z)g(z)$.\\  Start your proof like this:\\``Let $z=x+iy$, $f(z) = p(x,y)+iq(x,y)$ and $g(z)=s(x,y)+it(x,y)$ where thefunctions$p,q,s,t$ are real.  The Cauchy-Riemann equations for $f(z)$ and $g(z)$ give:$p_x=q_y,~~p_y=-q_x,~~s_x=t_y,~~s_y=-t_x$ where the subscripts $x,y$ denotepartial  differentiation with respect to $x,y$ respectively.Now let $h(z) = f(z)g(z) = u(x,y)+iv(x,y)$ for real functions $u,v$.  Then:$u = ps-qt ~~\mbox{and}~~ v=pt+qs$.''\\\\You have to prove that $u_x=v_y$ and $u_y=-v_x$ using the Cauchy Riemannequations for$f(z)$ and$g(z)$.\\\item $\sqrt{f(z)}$.  \\Start like this:\\``Let $z=x+iy$, $f(z) = p(x,y)+iq(x,y) = re^{i\theta}$ where $r^2=p^2+q^2$and $\tan \theta = q/p$.  Let $h(z) =\sqrt{f(z)} = u(x,y)+iv(x,y) = r^{1/2}e^{i\theta/2}$. Thus, $u(x,y) = r^{1/2}\cos \theta/2$ and $v(x,y)= r^{1/2}\sin \theta/2$.''\\\\{\em You may assume that the Cauchy-Riemann equations for $f(z)$ imply that }$r_x = r\theta_y,\;\;r_y=-r\theta_x$.\\\item (Hard!) $f^{-1}(z)$.\end{enumerate}\item Show that the functions $h(z)$ defined by \begin{enumerate}\item $h(z)=\mathrm{Arg}(z)$\item $h(z)=\Re(z)$\item $h(z)=\Im(z)$\end{enumerate} are {\em not} differentiable\end{enumerate}\answerblock{\begin{enumerate}\item Let $z=x+iy$, $f(z) = p(x,y)+iq(x,y)$ and $g(z)=s(x,y)+it(x,y)$ where thefunctions$p,q,s,t$ are real.  The Cauchy-Riemann equations for $f(z)$ and $g(z)$ give:$p_x=q_y,~~p_y=-q_x,~~s_x=t_y,~~s_y=-t_x$ where the subscripts $x,y$ denotepartial  differentiation with respect to $x,y$ respectively.Let $h(z) = f(z)g(z) = u(x,y)+iv(x,y)$ for real functions $u,v$.  Then:$$u = ps-qt ~~\mbox{and}~~ v=pt+qs$$Thus, $$u_x=p_xs+ps_x-q_xt-qt_x=q_ys+pt_y-(-p_y)t-q(-s_y)=v_y$$ and $$u_y=p_ys+ps_y-q_yt-qt_y=-q_xs-pt_x-p_xt-qs_x=-v_x$$Thus the C-R equations are satisfied for $h(z)$ which is therefore differentiable.\item Let $z=x+iy$, $f(z) = p(x,y)+iq(x,y) = re^{i\theta}$ where $r^2=p^2+q^2$and $\tan \theta = q/p$.  Let $h(z) =\sqrt{f(z)} = u(x,y)+iv(x,y) = r^{1/2}e^{i\theta/2}$. Thus, $u(x,y) = r^{1/2}\cos \theta/2$ and $v(x,y)= r^{1/2}\sin \theta/2$.  Hence:\begin{eqnarray*}u_x &=& (1/2) r^{-1/2}r_x\cos \theta/2 - r^{1/2} (\theta_x/2) \sin \theta/2 \\&=& (r_x \cos\theta/2 - r\theta_x\sin \theta/2)/(2r^{1/2}) \\u_y &=& (1/2) r^{-1/2}r_y\cos \theta/2 - r^{1/2} (\theta_y/2) \sin \theta/2 \\&=& (r_y \cos\theta/2 - r\theta_y\sin \theta/2)/(2r^{1/2}) \\v_x &=& (1/2) r^{-1/2}r_x\sin \theta/2 + r^{1/2} (\theta_x/2) \cos \theta/2 \\&=& (r_x \sin\theta/2 + r\theta_x\cos \theta/2)/(2r^{1/2}) \\v_y &=& (1/2) r^{-1/2}r_y\sin \theta/2 + r^{1/2} (\theta_y/2) \cos \theta/2 \\&=& (r_y \sin\theta/2 + r\theta_y\cos \theta/2)/(2r^{1/2}) \end{eqnarray*}You can now {\em assume} that $r_x = r\theta_y,\;\;r_y=-r\theta_x$ but a proof isthe following. We know that$r = \sqrt{p^2+q^2}$  and so  $$r_x = \frac{pp_x+qq_x}{r},\;\; r_y =\frac{pp_y+qq_y}{r}$$ Also $\theta = \arctan (q/p)$ so that$$\theta_x =\frac{q_x/p-qp_x/p^2}{1+(q/p)^2} = \frac{pq_x-qp_x}{r^2},\;\; \theta_y = \frac{pq_y-qp_y}{r^2} $$Thus, by the Cauchy-Riemann equations for $f(z)$, $$r_x = r\theta_y,\;\;r_y=-r\theta_x$$Substituting into the above equations for $u_x,u_y,v_x,v_y$, $$u_x=v_y \mbox{~and~} u_y=-v_x$$ and so the C-R equations aresatisfied for$h(z)$ which is therefore differentiable.\item Let $f(z) = u(x,y)+iv(x,y)$ so that $f^{-1}(u+iv)= x+iy$.  $u,v$ arefunctions of $x,y$ and $x,y$ are functions of $u,v$.  Using the rules for changeof variables (lecture 9), and the facts that $u_u=v_v=1,u_v=v_u=0$,we have \begin{eqnarray*}u_u &=& u_xx_u+u_yy_u = 1 \\u_v &=& u_xx_v+u_yy_v = 0 \\v_u &=& v_xx_u+v_yy_u = 0 \\v_v &=& v_xx_v+v_yy_v = 1 \end{eqnarray*}Solving the first and third equations for the two unknowns $x_u,y_u$ gives$$x_u = \frac{v_y}{u_xv_y-v_xu_y}, y_u = \frac{-v_x}{u_xv_y-v_xu_y}$$ andthe second and fourth equations yield similarly$$x_v = \frac{-u_y}{u_xv_y-v_xu_y}, y_v = \frac{u_x}{u_xv_y-v_xu_y}$$Hence, $u_x=v_y \Rightarrow x_u=y_v$ and $u_y=-v_x \Rightarrow  x_v = -y_u$.Thus the C-R equations are satisfied for $f^{-1}$ which is thereforedifferentiable.{\em Notice that this result implies part (b) since $f^2(z)$ isdiffrentiable by part (a) and square root is the inverse of square.}\end{enumerate}}\item ({\bf Thanks to Jeremy Bradley and Berc Rustem}) A tank has width $x$, height$y$ and depth $z$. Given that $x$,  $y$ and $z$ are constrained by $x+y+z=9$, find the values of $x$,  $y$ and $z$ which maximise the volume of the tank.  %%  Determine the dimensions of the rectangular tank which has the%%  greatest possible volume given that the sum of its sides are%%  restricted to $9$ metres in length.\answerblock{To maximise the volume of a tank of width $x$, height $y$ and depth$z$, we need to maximise $V=xyz$ subject to:\[x+y+z=9\]In maximisation problems like this, we start by eliminating onevariable from volume equation, in this case $x$ (but could be anyvariable), using the constraint $x+y+z=9$. So:\[V=(9-y-z)yz=9yz-y^2z-yz^2\]Just as when finding the stationary point (maximum or minimum) of aone-variable function, we look at when the derivative is 0. So withthe two variable function, $V$, we look at the partial derivatives atzero:\begin{eqnarray*}  \pdiffF{V}{y}&=&9z-2yz-z^2\\  &=&(9-2y-z)z\\  \pdiffF{V}{z}&=&9y-y^2-2yz\\  &=&(9-y-2z)y\\\end{eqnarray*}At a maximum or minimum value of $V$ the partial derivatives are both0. So $(9-2y-z)z=0$ and $(9-y-2z)y=0$ which means either $y=0$ and$z=0$ (clearly an uninteresting solution where the volume is 0) or weget the linear system:\begin{eqnarray*}  2y+z&=&9\\  y+2z&=&9\end{eqnarray*}which has the solution $y=3$, $z=3$ and using the constraint $x+y+z=9$as well we also get $x=3$.We need to determine whether this is a maximum or a minimum value ofthe function $V$. We do this using the Hessian matrix for $V$:\[H=\mtx{\pdiffFs{V}{y}}{\pdiffFII{V}{y}{z}}{\pdiffFII{V}{z}{y}}{\pdiffFs{V}{z}}\]In this case:\[H=\cmtx{-2z}{9-2y-2z}{9-2y-2z}{-2y}\]At the stationary point $y=z=3$, this becomes:\[H=\cmtx{-6}{-3}{-3}{-6}\]If $y=z=3$ is a maximum then Hessian is negative definite atthis point\footnote{If the point were a minimum, then the matrix wouldbe positive definite, i.e. the eigenvalues would both be positive.}. A matrix is{\em negative definite} if its eigenvalues are all negative.Eigenvalues of $H$ are found by looking for values of $\lambda$ in$|H-\lambda I|=0$, i.e.\[|H-\lambda I|=\determinant{\cmtx{-6-\lambda}{-3}{-3}{-6-\lambda}}=0\]Thus $(\lambda+6)^2-9=0$ or $\lambda^2+12\lambda+27=0$, the solutionsof which are:\[\lambda = -3,-9\]So:\begin{itemize}\item eigenvalues both negative\item [$\Rightarrow$] Hessian is negative definite at $y=3$,$z=3$\item [$\Rightarrow$] $y=3$,$z=3$ is a maximum solution to original problem\end{itemize}}\end{enumerate}\end{document}