Problem 4
Question
Let \(f(x, y)=\ln \left(x y-x^{2}\right)\) with \(x(t)=t^{2}\) and \(y(t)=t\). Find the derivative of \(w=f(x, y)\) with respect to \(t\) when \(t=5\).
Step-by-Step Solution
Verified Answer
The derivative \( \frac{dw}{dt} \) at \( t=5 \) is \( \frac{17}{20} \).
1Step 1: Define the Problem
We need to find \( \frac{dw}{dt} \), where \( w = f(x(t), y(t)) = \ln(xy-x^2) \). Given that \( x(t) = t^2 \) and \( y(t) = t \), we must use the chain rule for derivatives because \( w \) is a function of \( x \) and \( y \), which themselves are functions of \( t \).
2Step 2: Apply the Chain Rule
According to the chain rule, \( \frac{dw}{dt} = \frac{\partial f}{\partial x} \frac{dx}{dt} + \frac{\partial f}{\partial y} \frac{dy}{dt} \). We need to find each component: the partial derivatives of \( f \) with respect to \( x \) and \( y \), and the derivatives of \( x(t) \) and \( y(t) \) with respect to \( t \).
3Step 3: Find Partial Derivatives
Let's calculate the partial derivatives. First, \( \frac{\partial f}{\partial x} = \frac{\partial}{\partial x} \ln(xy - x^2) = \frac{y - 2x}{xy - x^2} \). Next, \( \frac{\partial f}{\partial y} = \frac{\partial}{\partial y} \ln(xy - x^2) = \frac{x}{xy - x^2} \).
4Step 4: Find Derivatives of x(t) and y(t)
Now we need \( \frac{dx}{dt} \) and \( \frac{dy}{dt} \). Using the definitions given, \( x(t) = t^2 \), so \( \frac{dx}{dt} = 2t \). Similarly, \( y(t) = t \), so \( \frac{dy}{dt} = 1 \).
5Step 5: Substitute and Simplify
Substitute the derivative expressions into the chain rule formula: \[ \frac{dw}{dt} = \left(\frac{y - 2x}{xy - x^2}\right) \cdot 2t + \left(\frac{x}{xy - x^2}\right) \cdot 1. \] For simplicity, substitute \( x = t^2 \) and \( y = t \) at this stage.
6Step 6: Evaluate Derivative at t=5
Substituting \(x=25\) and \(y=5\) (plugging in \(t=5\)), we have:- \(xy - x^2 = 25 \cdot 5 - 25^2 = 125 - 625 = -500\),- \(\frac{y - 2x}{xy - x^2} = \frac{5 - 50}{-500} = \frac{-45}{-500} = \frac{9}{100}\),- \(\frac{x}{xy - x^2} = \frac{25}{-500} = -\frac{1}{20}\).Substitute back: \[ \frac{dw}{dt} = \frac{9}{100} \times 10 + \left(-\frac{1}{20}\right) = \frac{90}{100} - \frac{5}{100} = \frac{85}{100} = \frac{17}{20}. \]
7Step 7: Conclusion
The derivative \( \frac{dw}{dt} \) at \( t=5 \) is \( \frac{17}{20} \).
Key Concepts
Understanding the Chain RuleExploring Partial DerivativesGrasping Differentiation
Understanding the Chain Rule
The Chain Rule is a fundamental tool in calculus used for differentiating composite functions. Imagine a scenario where one quantity depends on another, which in turn depends on a third quantity. This is where the Chain Rule becomes essential, allowing us to differentiate these linked functions effectively.
In the context of our problem, the function \( w = \ln(xy - x^2) \) depends on both \( x(t) \) and \( y(t) \). Since \( x \) and \( y \) are themselves functions of \( t \), the Chain Rule offers a strategy for calculating \( \frac{dw}{dt} \) by breaking it down into simpler parts:
This breakdown allows us to differentiate each piece directly, then sum the results. This rule is particularly powerful in handling complex scenarios, ensuring precision and simplifying the differentiation of multi-variable functions.
In the context of our problem, the function \( w = \ln(xy - x^2) \) depends on both \( x(t) \) and \( y(t) \). Since \( x \) and \( y \) are themselves functions of \( t \), the Chain Rule offers a strategy for calculating \( \frac{dw}{dt} \) by breaking it down into simpler parts:
- \( \frac{\partial f}{\partial x} \frac{dx}{dt} \)
- \( \frac{\partial f}{\partial y} \frac{dy}{dt} \)
This breakdown allows us to differentiate each piece directly, then sum the results. This rule is particularly powerful in handling complex scenarios, ensuring precision and simplifying the differentiation of multi-variable functions.
Exploring Partial Derivatives
Partial derivatives involve differentiating a multi-variable function with respect to one variable at a time, treating other variables as constants. This concept is crucial when dealing with functions of multiple variables, like \( f(x, y) = \ln(xy - x^2) \), where the behavior of one variable influences another.
In our exercise, we find the partial derivatives of \( f \) with respect to \( x \) and \( y \):
These expressions help in understanding how changes in \( x \) or \( y \) alone affect the function \( f \). Such calculations are invaluable in multi-dimensional analysis, providing insight into the sensitivities of each independent variable.
In our exercise, we find the partial derivatives of \( f \) with respect to \( x \) and \( y \):
- \( \frac{\partial f}{\partial x} = \frac{y - 2x}{xy - x^2} \)
- \( \frac{\partial f}{\partial y} = \frac{x}{xy - x^2} \)
These expressions help in understanding how changes in \( x \) or \( y \) alone affect the function \( f \). Such calculations are invaluable in multi-dimensional analysis, providing insight into the sensitivities of each independent variable.
Grasping Differentiation
Differentiation is a core concept in calculus used to determine the rate at which a quantity changes. It lies at the heart of understanding motion, growth, and other dynamic systems. In essence, differentiation gives us the derivative, representing how a function changes as its input changes.
In the example provided, we differentiate \( x(t) = t^2 \) and \( y(t) = t \) with respect to \( t \), yielding:
These derivatives demonstrate how \( x \) and \( y \) change as \( t \) varies. Thus, differentiation not only helps us find rates of change but also enables us to predict future behavior in responsive systems based on their current state.
In the example provided, we differentiate \( x(t) = t^2 \) and \( y(t) = t \) with respect to \( t \), yielding:
- \( \frac{dx}{dt} = 2t \)
- \( \frac{dy}{dt} = 1 \)
These derivatives demonstrate how \( x \) and \( y \) change as \( t \) varies. Thus, differentiation not only helps us find rates of change but also enables us to predict future behavior in responsive systems based on their current state.
Other exercises in this chapter
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