Berk's question via email about approximating change

In summary, the speed of sound in an ideal fluid is related to the temperature by $\displaystyle \begin{align*} c = \sqrt{\gamma \, R \, T} \end{align*}$. If the temperature increases by 10% from its base value, then the change in c is $\displaystyle \begin{align*} \frac{1}{20} \end{align*}$ of the original c.
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The speed of sound $\displaystyle \begin{align*} c \end{align*}$ in an ideal fluid is related to the temperature $\displaystyle \begin{align*} T \end{align*}$ (measured in $\displaystyle \begin{align*} ^{\circ} K \end{align*}$) by

$\displaystyle \begin{align*} c = \sqrt{\gamma \, R \, T} \end{align*}$

where $\displaystyle \begin{align*} \gamma \end{align*}$ and $\displaystyle \begin{align*} R \end{align*}$ are constants.

Suppose that $\displaystyle \begin{align*} T \end{align*}$ increases by 10% from some base value. Use calculus to determine the approximate percentage change in $\displaystyle \begin{align*} c \end{align*}$, according to the ideal fluid model.

If we remember that the derivative is defined by $\displaystyle \begin{align*} \frac{\mathrm{d}y}{\mathrm{d}x} = \lim_{\Delta\,x \to 0} \frac{y\left( x + \Delta\,x \right) - y\left( x \right)}{\Delta \, x} \end{align*}$ then that means that as long as $\displaystyle \begin{align*} \Delta \,x \end{align*}$ is small, then $\displaystyle \begin{align*} \frac{\mathrm{d}y}{\mathrm{d}x} \approx \frac{\Delta \,y}{\Delta\,x} \end{align*}$.

Thus we can say $\displaystyle \begin{align*} \frac{\mathrm{d}c}{\mathrm{d}T} \approx \frac{\Delta\,c}{\Delta\,T} \end{align*}$ and so $\displaystyle \begin{align*} \Delta\,c \approx \frac{\mathrm{d}c}{\mathrm{d}T}\,\Delta\,T \end{align*}$.

Now from $\displaystyle \begin{align*} c = \sqrt{\gamma\,R\,T} \end{align*}$ we have $\displaystyle \begin{align*} \frac{\mathrm{d}c}{\mathrm{d}T} = \frac{\sqrt{\gamma\,R}}{2\,\sqrt{T}} \end{align*}$, and so with a 10\% increase in T, that means $\displaystyle \begin{align*} \Delta\,T = \frac{T}{10} \end{align*}$, thus

$\displaystyle \begin{align*} \Delta\,c &\approx \frac{\sqrt{\gamma\,R}}{2\,\sqrt{T}}\cdot \frac{T}{10} \\ &= \frac{\sqrt{\gamma\,R\,T}}{20} \\ &= \frac{c}{20} \end{align*}$

So that means that the change in c is $\displaystyle \begin{align*} \frac{1}{20} \end{align*}$ of the original c, so a 5% increase.
 
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What is the purpose of approximating change in scientific research?

The purpose of approximating change is to estimate the magnitude and direction of change in a variable over time. This can help researchers understand patterns and trends in data and make predictions about future outcomes.

What are some common methods for approximating change?

Some common methods for approximating change include calculating the slope of a line, using regression analysis, and using mathematical models such as exponential growth or decay.

How accurate are approximations of change?

The accuracy of approximations of change depends on the quality and quantity of data available, the underlying assumptions and limitations of the chosen method, and the complexity of the variable being studied. It is important for researchers to carefully consider these factors when interpreting and using approximations of change.

Can approximations of change be used for all types of data?

No, approximations of change may not be appropriate for all types of data. For example, if the data is highly irregular or contains outliers, it may not be suitable for calculating a meaningful approximation of change. Additionally, some variables may not follow a predictable pattern and therefore may not be accurately approximated.

How can approximations of change be used in scientific research?

Approximations of change can be used in a variety of ways in scientific research, such as identifying trends and patterns, making predictions, and comparing different variables or groups. They can also help researchers understand the relationship between different variables and inform further research questions.

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