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%%%%%%%%%%%%%%%%%% Start /document/S00203%7E1[1].tex %%%%%%%%%%%%%%%%%%


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%TCIDATA{Created=Monday, August 27, 2001 11:48:14}
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\newtheorem{theorem}{Theorem}
\newtheorem{acknowledgement}[theorem]{Acknowledgement}
\newtheorem{algorithm}[theorem]{Algorithm}
\newtheorem{axiom}[theorem]{Axiom}
\newtheorem{case}[theorem]{Case}
\newtheorem{claim}[theorem]{Claim}
\newtheorem{conclusion}[theorem]{Conclusion}
\newtheorem{condition}[theorem]{Condition}
\newtheorem{conjecture}[theorem]{Conjecture}
\newtheorem{corollary}[theorem]{Corollary}
\newtheorem{criterion}[theorem]{Criterion}
\newtheorem{definition}[theorem]{Definition}
\newtheorem{example}[theorem]{Example}
\newtheorem{exercise}[theorem]{Exercise}
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{notation}[theorem]{Notation}
\newtheorem{problem}[theorem]{Problem}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{remark}[theorem]{Remark}
\newtheorem{solution}[theorem]{Solution}
\newtheorem{summary}[theorem]{Summary}
\newenvironment{proof}[1][Proof]{\textbf{#1.} }{\ \rule{0.5em}{0.5em}}
\input{tcilatex}

\begin{document}


\section{\protect\vspace{1pt}Newton's Law of Cooling}

First\_order linear differential equations can be used to solve a variety of
problems that involve temperature .For example:

\begin{enumerate}
\item a medical examiner can find the time of death in a homicide case,

\item a chemist can determine the time required for a plastic mixture to
cool to a hardening \ \ \ \ \ \ temperature

\item and an engineer can design the cooling and heating system of a
manufacturing facility although distinct;
\end{enumerate}

Each of these problems depends on a basic principle that is used to develop
the associated \ differential equation, we discuss this important law now.

\qquad

\begin{itemize}
\item \textsl{\ basic concept of Newton's law of cooling}
\end{itemize}

Newton's law of cooling states that the rate at which the temperature $T(t)$
changes in a cooling body is proportional to the differences between the
temperature of the body and the constant temperature $Ts$ of the surrounding
medium; this situation is represented as the first\_order initial \_value
problem

\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \
\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ $%
\begin{array}{c}
\ \frac{dT}{dt}=k(T-Ts); \\ 
\ \ \ \ \ T(0)=To%
\end{array}%
$ $\ \ \ \ \ \ \ \ \ \ \ \ \ $

Where $To$ is the initial temperature of the body and $k$ is the constant of
proportionality; we investigate problems involving Newton's law of cooling
in the following examples

In the ideal case , the temperature of the surroundings was assumed to be
constant;

However ,this does not have to be the case ;for example, consider the
problem of heating and cooling a building ;over the span of a twenty-four
hour day, the outside temperature varies ;the problem of determining the
temperature inside the building ,therefore ,becomes more complicated ;for
the meantime,lets's assume that the building has no heating or air
conditioning system ;hence the differential equation that should be solved
to find the temperature $u(t)$ at time $t$ inside the building is

\vspace{1pt} $\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \
\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \frac{%
du}{dt}=k(C(t)-u(t))$

Where $C(t)$ is a function that describes the outside temperature and $k>0$
is a constant that depends on the insulation of the building; according to
this equation ,if $C(t)>u(t)$,then $\frac{du}{dt}>0,$which implies that $u$
increase ;conversely ,if $C(t)<u(t)$,then $\frac{du}{dt}>0$,which means that 
$u$ decreases.

\qquad

\begin{itemize}
\item \vspace{1pt} \ \ \ \textsl{Example}\textbf{:}
\end{itemize}

\vspace{1pt} (a) suppose that during the month of \texttt{April} in Atlanta,
Georgia, the outside temperature is given by $C(t)=21-10\cos (\frac{\pi t}{12%
})$,$0<t<24$;(Note: this implies that the average value of $C(t)$ is $21$ $%
C^{0}$ ) determine the temperature in a building that has an initial
temperature of $15$ $C^{0}$ if $k=\frac{1}{4}$;

(b)compare this to the temperature in \texttt{June} when the outside
temperature is $C(t)=26-10\cos (\frac{\pi t}{12})$and the initial
temperature is $21$ $C^{0}$

\emph{solution}\textit{:} (a)the initial\_value problem that we must solve
in \texttt{April} is

$\frac{du}{dt}=\frac{1}{4}\left[ 21-10\cos (\frac{\pi t}{12})-u\right] \ \ \
\ \ \ \ 
\CustomNote{Margin_Hint}{%
this is the funciton $\ \frac{du}{dt}=k(C(t)-u(t))$%
\par
here we do some simplification
\par
$\frac{1}{4}\left[ 21-10\cos (\frac{\pi t}{12})-u\right] =\allowbreak \left[ 
\frac{21}{4}-\frac{5}{2}\cos \frac{1}{12}\pi t-\frac{1}{4}u\right]
=\allowbreak $%
\par
so we can get the finally equation about this function:
\par
$\frac{du}{dt}=\frac{21}{4}-\frac{5}{2}\cos \frac{1}{12}\pi t-\frac{1}{4}u$}$

$%
\begin{array}{c}
\frac{du}{dt}=\frac{21}{4}-\frac{5}{2}\cos \frac{1}{12}\pi t-\frac{1}{4}u \\ 
u\left( 0\right) =15%
\end{array}%
$, Exact solution is: $u\left( t\right) =\frac{189+21\pi ^{2}-90\cos \frac{1%
}{12}\pi t-30\pi \sin \frac{1}{12}\pi t-54e^{-\frac{1}{4}t}\frac{-6+\pi ^{2}%
}{9+\pi ^{2}}-6e^{-\frac{1}{4}t}\frac{-6+\pi ^{2}}{9+\pi ^{2}}\pi ^{2}}{%
9+\pi ^{2}}$\FRAME{dtbpFX}{3in}{2.0003in}{0pt}{}{}{Plot}{\special{language
"Scientific Word";type "MAPLEPLOT";width 3in;height 2.0003in;depth
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49;plotstyle "patch";axesstyle "normal";xis \TEXUX{t};var1name
\TEXUX{$t$};function \TEXUX{$\frac{189+21\pi ^{2}-90\cos \frac{1}{12}\pi
t-30\pi \sin \frac{1}{12}\pi t-54e^{-\frac{1}{4}t}\frac{-6+\pi ^{2}}{9+\pi
^{2}}-6e^{-\frac{1}{4}t}\frac{-6+\pi ^{2}}{9+\pi ^{2}}\pi ^{2}}{9+\pi
^{2}}$};linecolor "blue";linestyle 1;pointstyle "point";linethickness
3;lineAttributes "Solid";var1range "0,24";num-x-gridlines 49;curveColor
"[flat::RGB:0x000000ff]";curveStyle "Line";rangeset"X";}}

Next I find the Max temperature at $t=15$\emph{\ }\textsf{%
\CustomNote[NOTE]{Margin_Hint}{%
here please note the $t$ means variable time ;$0<t<24$}}

$\left[ \frac{189+21\pi ^{2}-90\cos \frac{1}{12}\pi t-30\pi \sin \frac{1}{12}%
\pi t-54e^{-\frac{1}{4}t}\frac{-6+\pi ^{2}}{9+\pi ^{2}}-6e^{-\frac{1}{4}t}%
\frac{-6+\pi ^{2}}{9+\pi ^{2}}\pi ^{2}}{9+\pi ^{2}}\right]
_{t=15}=\allowbreak \frac{189+21\pi ^{2}+45\sqrt{2}+15\pi \sqrt{2}-54e^{-%
\frac{15}{4}}\frac{-6+\pi ^{2}}{9+\pi ^{2}}-6e^{-\frac{15}{4}}\frac{-6+\pi
^{2}}{9+\pi ^{2}}\pi ^{2}}{9+\pi ^{2}}\allowbreak =\allowbreak
27.\,\allowbreak 875$

\vspace{1pt}From the above calculating and graph ,we can see that the
temperature reaches its Max near $t=15$;and its Max temperature is about $28$
$C^{0}$

\vspace{1pt}

\vspace{1pt}(b)solve the temperature in \texttt{June} when the outside
temperature is $C(t)=26-10\cos (\frac{\pi t}{12})$and the initial
temperature is $21$ $C^{0}$

$\frac{du}{dt}=\frac{1}{4}\left[ 26-10\cos (\frac{\pi t}{12})-u\right] 
\mathsf{\ \ \ \ \ }\mathtt{%
\CustomNote{Note}{%
this is the funciton $\ \frac{du}{dt}=k(C(t)-u(t))$%
\par
here we do some simplification $\frac{1}{4}\left[ 26-10\cos (\frac{\pi t}{12}%
)-u\right] =\allowbreak \left[ \frac{13}{2}-\frac{5}{2}\cos \frac{1}{12}\pi
t-\frac{1}{4}u\right] $%
\par
{} 
\par
so we can get the finally equation about this function: 
\par
$\frac{du}{dt}=\frac{13}{2}-\frac{5}{2}\cos \frac{1}{12}\pi t-\frac{1}{4}u$}}
$

$%
\begin{array}{c}
\frac{du}{dt}=\frac{13}{2}-\frac{5}{2}\cos \frac{1}{12}\pi t-\frac{1}{4}u \\ 
u\left( 0\right) =21%
\end{array}%
$, Exact solution is: $u\left( t\right) =\frac{234+26\pi ^{2}-90\cos \frac{1%
}{12}\pi t-30\pi \sin \frac{1}{12}\pi t-45e^{-\frac{1}{4}t}\frac{-9+\pi ^{2}%
}{9+\pi ^{2}}-5e^{-\frac{1}{4}t}\frac{-9+\pi ^{2}}{9+\pi ^{2}}\pi ^{2}}{%
9+\pi ^{2}}\allowbreak $\FRAME{dtbpFX}{3in}{2.0003in}{0pt}{}{}{Plot}{%
\special{language "Scientific Word";type "MAPLEPLOT";width 3in;height
2.0003in;depth 0pt;display "USEDEF";plot_snapshots FALSE;mustRecompute
FALSE;lastEngine "Maple";xmin "0";xmax "24";xviewmin "-0.48";xviewmax
"24.4896";yviewmin "18.7086565055953";yviewmax "33.1817138978611";plottype
4;numpoints 49;plotstyle "patch";axesstyle "normal";xis \TEXUX{t};var1name
\TEXUX{$t$};function \TEXUX{$\frac{234+26\pi ^{2}-90\cos \frac{1}{12}\pi
t-30\pi \sin \frac{1}{12}\pi t-45e^{-\frac{1}{4}t}\frac{-9+\pi ^{2}}{9+\pi
^{2}}-5e^{-\frac{1}{4}t}\frac{-9+\pi ^{2}}{9+\pi ^{2}}\pi ^{2}}{9+\pi
^{2}}$};linecolor "red";linestyle 1;pointstyle "point";linethickness
3;lineAttributes "Solid";var1range "0,24";num-x-gridlines 49;curveColor
"[flat::RGB:0x00ff0000]";curveStyle "Line";rangeset"X";}}

\vspace{1pt}

Next I find the Max temperature at $t=15$ \ \ \texttt{%
\CustomNote[NOTE]{Margin_Hint}{%
here please note the $t$ means variable time ;$0<t<24$}}

\vspace{1pt}$\left[ \frac{234+26\pi ^{2}-90\cos \frac{1}{12}\pi t-30\pi \sin 
\frac{1}{12}\pi t-45e^{-\frac{1}{4}t}\frac{-9+\pi ^{2}}{9+\pi ^{2}}-5e^{-%
\frac{1}{4}t}\frac{-9+\pi ^{2}}{9+\pi ^{2}}\pi ^{2}}{9+\pi ^{2}}\allowbreak %
\right] _{t=15}=\allowbreak \frac{234+26\pi ^{2}+45\sqrt{2}+15\pi \sqrt{2}%
-45e^{-\frac{15}{4}}\frac{-9+\pi ^{2}}{9+\pi ^{2}}-5e^{-\frac{15}{4}}\frac{%
-9+\pi ^{2}}{9+\pi ^{2}}\pi ^{2}}{9+\pi ^{2}}\allowbreak =\allowbreak
32.\,\allowbreak 899$

from the above calculate and the graph ,we can see that for the \texttt{June}
,its Max temperature is about

$33$ $C^{0}$

Again the Max temperature is also near $t=15$,and its value is $33$ $C^{0}.$

\qquad

\begin{itemize}
\item \ \textsf{conclusion:}
\end{itemize}

\qquad

\begin{itemize}
\item 
\begin{enumerate}
\item From the above comparison ,we can see that during the month of \texttt{%
April} and \texttt{June} in Atlanta, Georgia, the outside Max temperature
time is around $t=15$;in other words ,around $3:00$pm ,it is hottest; Advice
you not to go out at the time;

\item so we can get that first\_order linear differential equations can be
used to solve a variety of problems that involve temperature ;We can use the
basic principle \texttt{NEWTON'S LAW OF COOLING} to find the temperature of
the body ,solving some complex practical problems;

\item .It is likely that many of the future application that will best
exploit the technological capability of temperature problem have yet to be
developed;
\end{enumerate}
\end{itemize}

\qquad \qquad 

\begin{itemize}
\item \textsf{\vspace{1pt}Bibliography}
\end{itemize}

Differential equations with maple

Author is Martha l.abell/james p.braselton

Class no. in library of NP: QA371.5 D37 A141

\end{document}

%%%%%%%%%%%%%%%%%%% End /document/S00203%7E1[1].tex %%%%%%%%%%%%%%%%%%%
