Chapter 7: Problem 6
Sketch the contour curve indicated in the activity. Sketch the tangent line indicated and calculate its slope. $$ \begin{aligned} &f(s, t)=s \ln (2 t)+e^{-1.34 t}\\\ &f(s, t)=2 \text { for } 1 \leq t \leq 20\\\ &\text { tangent line at } t=10 \end{aligned} $$
Short Answer
Expert verified
Find \( s = \frac{2 - e^{-13.4}}{\ln(20)} \) and the slope \( m \) at \( t = 10 \) for the tangent line equation.
Step by step solution
01
Understand the Function
The given function is \( f(s, t) = s \ln(2t) + e^{-1.34t} \). We need to understand that this is a function of two variables, \( s \) and \( t \).
02
Establish the Contour Curve
We are tasked with finding the contour where \( f(s,t) = 2 \). This means solving \( s \ln(2t) + e^{-1.34t} = 2 \) for a given range \( 1 \leq t \leq 20 \).
03
Solve for \( s \) in terms of \( t \)
Re-arrange the contour equation to solve for \( s \):\[ s = \frac{2 - e^{-1.34t}}{\ln(2t)} \]for \( 1 \leq t \leq 20 \).
04
Determine the Tangent Line Equation at \( t = 10 \)
First, substitute \( t = 10 \) into \( s(t) = \frac{2 - e^{-1.34t}}{\ln(2t)} \) to find the value of \( s \). Then find the derivative of \( s \) with respect to \( t \) to determine the slope at \( t = 10 \).
05
Compute \( s \) at \( t = 10 \)
Substitute \( t = 10 \) into \( s(t) = \frac{2 - e^{-1.34t}}{\ln(2t)} \): \[ s = \frac{2 - e^{-13.4}}{\ln(20)} \]. This value of \( s \) will be where the tangent line intersects \( t = 10 \).
06
Differentiate to Find Slope
Differentiate \( s(t) = \frac{2 - e^{-1.34t}}{\ln(2t)} \) using the quotient rule to find \( \frac{ds}{dt} \).
07
Evaluate the Slope at \( t = 10 \)
Calculate the derivative at \( t = 10 \). This will give the slope of the tangent line at \( t = 10 \).
08
Write the Equation of the Tangent Line
Using the point-slope form of the line \( y - y_1 = m(x - x_1) \), where \( (t_1, s_1) \) is the point and \( m \) is the slope, we can write the equation of the tangent line at \( t = 10 \).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Contour Curves
In calculus, contour curves are a way to visualize a multivariable function. Imagine slicing through a 3D graph of the function at a constant height. Each slice creates a curve on a plane, much like a topographic map shows different elevations.
- A contour curve represents all points where the function has the same value.
- For a function of two variables, such as our function, these curves lie in a 2D plane.
Tangent Line
Understanding tangent lines help us grasp how a function behaves at a specific point. Imagine a curve on a graph. The tangent line 'touches' the curve at that point. It is essentially a straight line that has the same slope as the curve at that point.
- The slope of a tangent line tells us how steep the curve is at the point of tangency.
- For the contour surface studied, the tangent line at \((t = 10, s)\) gives insights into how the contour behaves near that point.
Partial Derivatives
Partial derivatives are fundamental in working with multivariable functions. They provide information on how a function changes as we vary each input variable separately, holding others constant.
- The partial derivative with respect to \(s\) focuses on how the function changes as \(s\) changes alone.
- The partial derivative with respect to \(t\) examines changes as \(t\) varies, with \(s\) constant.
Multivariable Functions
Multivariable functions generalize calculus concepts to more than one variable. They serve a crucial role in many fields, including physics, economics, and engineering, allowing us to model complex systems that depend on multiple factors.
- In a function of two variables, like \(f(s, t)\), both \(s\) and \(t\) are inputs that affect the output number \(f(s, t)\).
- Such functions are often visualized as surfaces, with contour curves representing slices of constant output value.