Problem 40
Question
Find the indicated derivative in two ways: a. Replace \(x\) and \(y\) to write \(z\) as a function of \(t\) and differentiate. b. Use the Chain Rule. \(z^{\prime}(t),\) where \(z=\ln (x+y), x=t e^{t},\) and \(y=e^{t}\)
Step-by-Step Solution
Verified Answer
Question: Determine the derivative of the function \(z = \ln (x+y)\) with respect to \(t\), given \(x = te^t\) and \(y = e^t\).
Answer: The derivative of the function with respect to \(t\) is \(z'(t) = \frac{e^t(t+1)}{te^t + e^t}\).
1Step 1: Replace x and y with given functions
We are given that \(x = te^t\) and \(y = e^t\). Substitute these expressions into \(z\) to find the new expression for \(z\) in terms of \(t\):
$$
z(t) = \ln (te^t + e^t)
$$
2Step 2: Differentiate z with respect to t
Now we need to differentiate z with respect to \(t\). We'll do this using the derivative of the natural logarithm:
$$
\frac{d}{dt}\ln(u) = \frac{u'}{u}
$$
where \(u = te^t + e^t\). First, differentiate \(u\) with respect to \(t\):
$$
u'(t) = \frac{d}{dt}(te^t + e^t) = e^t(t+1)
$$
Now, differentiate \(z(t)\):
$$
z'(t) = \frac{u'(t)}{u(t)} = \frac{e^t(t+1)}{te^t + e^t}
$$
So the derivative using the substitution method is:
$$
z'(t) = \frac{e^t(t+1)}{te^t + e^t}
$$
#b. Chain Rule Method#
3Step 1: Differentiate z with respect to x and y
To use the Chain Rule, we first need to differentiate z with respect to x and y:
$$
\frac{\partial z}{\partial x} = \frac{1}{x+y},\quad \frac{\partial z}{\partial y} = \frac{1}{x+y}
$$
4Step 2: Differentiate x and y with respect to t
Next, differentiate x and y with respect to t:
$$
\frac{dx}{dt} = e^t(t+1),\quad \frac{dy}{dt} = e^t
$$
5Step 3: Apply the Chain Rule
Now we can apply the Chain Rule, which means to multiply the partial derivatives by the corresponding total derivatives and sum the results. We get:
$$
z'(t) = \frac{\partial z}{\partial x}\frac{dx}{dt} + \frac{\partial z}{\partial y}\frac{dy}{dt} = \frac{1}{x+y}e^t(t+1) + \frac{1}{x+y}e^t
$$
6Step 4: Simplify the result
We can simplify the expression by factoring out the common terms:
$$
z'(t) = \frac{e^t(t+1) + e^t}{x+y}
$$
Now substitute the expressions of x and y back into the result:
$$
z'(t) = \frac{e^t(t+1) + e^t}{te^t + e^t}
$$
So the derivative using the Chain Rule method is:
$$
z'(t) = \frac{e^t(t+1)}{te^t + e^t}
$$
Both methods yield the same result for the derivative of the given function.
Key Concepts
Chain RuleDerivativeNatural Logarithm
Chain Rule
The chain rule is a fundamental concept in calculus that makes it easier to differentiate composite functions. In simpler terms, a composite function is a function inside another function, like peeling an onion layer by layer. Each layer represents a function, and the chain rule helps us peel it systematically.
When using the chain rule, you first differentiate the outer function while keeping the inner function unchanged. Then, you multiply by the derivative of the inner function. This might sound complex at first, but it's about applying derivatives step-by-step.
When using the chain rule, you first differentiate the outer function while keeping the inner function unchanged. Then, you multiply by the derivative of the inner function. This might sound complex at first, but it's about applying derivatives step-by-step.
- Identify the outer and inner functions.
- Differentiate the outer function, keeping the inner function as is.
- Multiply by the derivative of the inner function.
Derivative
The derivative is at the heart of calculus and it measures how a function changes as its input changes. Imagine driving a car: the derivative is like the speedometer of your car, telling you how fast you're going (the rate of change of distance with respect to time).
Mathematically, the derivative of a function \( f(t) \) with respect to \( t \) is denoted as \( f'(t) \) or \( \frac{df}{dt} \).
Mathematically, the derivative of a function \( f(t) \) with respect to \( t \) is denoted as \( f'(t) \) or \( \frac{df}{dt} \).
- It provides you the instantaneous rate of change.
- Helps in finding slopes of tangent lines to curves.
- Aids in optimizing functions and predicting future behavior.
Natural Logarithm
The natural logarithm, denoted as \( \ln(. ) \), is a special logarithm that is widely used in calculus and natural sciences. It has a base of \( e \), where \( e \) is an irrational constant approximately equal to 2.71828. Because the natural logarithm is the inverse of the exponential function, it allows us to solve for time in exponential growth and decay problems.
The derivative of the natural logarithm has a unique and simple form. When differentiating \( \ln(u) \), where \( u \) is a function of \( t \), the derivative is \( \frac{1}{u} \cdot \frac{du}{dt} \).
The derivative of the natural logarithm has a unique and simple form. When differentiating \( \ln(u) \), where \( u \) is a function of \( t \), the derivative is \( \frac{1}{u} \cdot \frac{du}{dt} \).
- Helps in simplifying the differentiation process of multiplicative functions.
- Common in growth models and economic applications.
- Key in solving calculus problems involving exponents.
Other exercises in this chapter
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Consider the following functions \(f\) and points \(P .\) Sketch the \(x y\) -plane showing \(P\) and the level curve through \(P\). Indicate (as in Figure 70 )
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Verify that \(f_{x y}=f_{y x}\) for the following functions. $$f(x, y)=\sqrt{x y}$$
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Show that the Second Derivative Test is inconclusive when applied to the following functions at \((0,0) .\) Describe the behavior of the function at the critica
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