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Derivative of \(u(x)^{v(x)}\) Use logarithmic differentiation to prove that $$\frac{d}{d x}\left(u(x)^{v(x)}\right)=u(x)^{v(x)}\left(\frac{d v}{d x} \ln u(x)+\frac{v(x)}{u(x)} \frac{d u}{d x}\right)$$.

Short Answer

Expert verified
Question: Find the derivative of a function in the form \(u(x)^{v(x)}\). Answer: The derivative of the function \(u(x)^{v(x)}\) is given by: $$\frac{d}{d x}\left(u(x)^{v(x)}\right)=u(x)^{v(x)}\left(\frac{d v}{d x} \ln{[u(x)]}+\frac{v(x)}{u(x)} \frac{d u}{d x}\right)$$

Step by step solution

01

Write down the given function and apply natural logarithm to both sides

First, let's define the function we have to find the derivative of: $$y(x) = u(x)^{v(x)}$$ To use logarithmic differentiation, we will now take the natural logarithm of both sides of the equation. $$\ln{[y(x)]} = \ln{[u(x)^{v(x)}]}$$
02

Simplify the right side using logarithm properties

We can simplify the right side of the equation using the property of logarithms that states that \(\ln{a^b} = b \ln a\). This gives us: $$\ln{[y(x)]} = v(x)\ln{[u(x)]}$$
03

Implicitly differentiate both sides with respect to \(x\)

Now, we will differentiate both sides of the equation with respect to \(x\): $$\frac{d}{dx}\ln{[y(x)]}=\frac{d}{dx}\left[v(x)\ln{[u(x)]}\right]$$ Using the chain rule, we have: $$\frac{y'(x)}{y(x)}=\frac{d v}{d x}\ln{[u(x)]}+v(x)\frac{1}{u(x)}\frac{d u}{d x}$$
04

Multiply both sides by \(y(x)\) and use the original definition of the function

In this step, we will multiply both sides of the equation by \(y(x)\). This will give us the derivative we were looking for, \(y'(x)\). Recall that \(y(x) = u(x)^{v(x)}\): $$y'(x) = u(x)^{v(x)}\left(\frac{d v}{d x}\ln{[u(x)]}+v(x)\frac{1}{u(x)}\frac{d u}{d x}\right)$$
05

Write the final result

The derivative of the function \(u(x)^{v(x)}\) is given by: $$\frac{d}{d x}\left(u(x)^{v(x)}\right)=u(x)^{v(x)}\left(\frac{d v}{d x} \ln{[u(x)]}+\frac{v(x)}{u(x)} \frac{d u}{d x}\right)$$

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Implicit Differentiation
Implicit differentiation is an essential technique in calculus when dealing with equations that define functions implicitly rather than explicitly. Instead of a straightforward function like \( y = f(x) \), we often encounter equations where \( y \) cannot be isolated, for instance, equations that define a relation between \( x \) and \( y \) without solving for one variable in terms of the other. When differentiating such relations, we treat \( y \) as an implicit function of \( x \), effectively allowing us to differentiate \( y \) with respect to \( x \).

This process involves using the chain rule to differentiate \( y \) terms, as if \( y \) were an explicit function of \( x \). It's particularly useful in logarithmic differentiation, as shown in the solution to the given exercise: we implicitly differentiate both sides of the equation after applying the natural logarithm to the function \( u(x)^{v(x)} \), treating \( y(x) \) as an implicit function.
Chain Rule
The chain rule is a fundamental rule in differentiation that allows us to compute the derivative of composite functions. When we have a function \( h(x) \) that can be decomposed into two functions such that \( h(x) = f(g(x)) \), the derivative of \( h \) with respect to \( x \) is the product of the derivative of \( f \) with respect to \( g \) and the derivative of \( g \) with respect to \( x \), or \( h'(x) = f'(g(x)) \cdot g'(x) \).

In the context of logarithmic differentiation, we often encounter situations where we need to differentiate an expression that is the product of two functions, which is exactly where the chain rule comes in handy. As seen in our example, when differentiating \( v(x){[u(x)]} \), we use the chain rule to differentiate \( v(x) \) and \( u(x) \) separately and then combine the results.
Properties of Logarithms
Understanding the properties of logarithms is crucial when working with logarithmic differentiation. These properties simplify complex expressions and make it possible to differentiate functions that would otherwise be very difficult to handle. Some key logarithmic properties include:
  • Product Rule: \( {ab} = {a} + {b} \)
  • Quotient Rule: \( {\frac{a}{b}} = {a} - {b} \)
  • Power Rule: \( {a^b} = b {a} \)

In our exercise example, we use the Power Rule to simplify the expression \( {u(x)^{v(x)}} \) to \( v(x){u(x)} \). These properties transform the original function into a form that is more amenable to differentiation.
Differentiation Rules
The rules of differentiation are tools that help us determine the derivative of functions. We primarily use basic differentiation rules such as the power rule (derivative of \( x^n \) is \( nx^{n-1} \)), the product rule (to differentiate the product of two functions), and the quotient rule (to differentiate a division of two functions).

When encountering more complex functions, like those involving exponentials with variable bases and exponents such as \( u(x)^{v(x)} \), we often have to combine these rules for effective differentiation. In the solution for logarithmic differentiation provided, we see an application of the product rule in the derivative of the function after applying the logarithm. This results in a blend of differentiation rules to achieve the final result.

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Most popular questions from this chapter

Work carefully Proceed with caution when using implicit differentiation to find points at which a curve has a specified slope. For the following curves, find the points on the curve (if they exist) at which the tangent line is horizontal or vertical. Once you have found possible points, make sure they actually lie on the curve. Confirm your results with a graph. $$y^{2}-3 x y=2$$

Recall that \(f\) is even if \(f(-x)=f(x),\) for all \(x\) in the domain of \(f,\) and \(f\) is odd if \(f(-x)=-f(x),\) for all \(x\) in the domain of \(f\). a. If \(f\) is a differentiable, even function on its domain, determine whether \(f^{\prime}\) is even, odd, or neither. b. If \(f\) is a differentiable, odd function on its domain, determine whether \(f^{\prime}\) is even, odd, or neither.

Identifying functions from an equation. The following equations implicitly define one or more functions. a. Find \(\frac{d y}{d x}\) using implicit differentiation. b. Solve the given equation for \(y\) to identify the implicitly defined functions \(y=f_{1}(x), y=f_{2}(x), \ldots\) c. Use the functions found in part (b) to graph the given equation. $$x^{4}=2\left(x^{2}-y^{2}\right) \text { (eight curve) }$$

Let \(f\) and \(g\) be differentiable functions with \(h(x)=f(g(x)) .\) For a given constant \(a,\) let \(u=g(a)\) and \(v=g(x),\) and define $$H(v)=\left\\{\begin{array}{ll} \frac{f(v)-f(u)}{v-u}-f^{\prime}(u) & \text { if } v \neq u \\ 0 & \text { if } v=u. \end{array}\right.$$ a. Show that \(\lim _{x \rightarrow u} H(v)=0\) b. For any value of \(u\) show that $$f(v)-f(u)=\left(H(v)+f^{\prime}(u)\right)(v-u).$$ c. Show that. $$h^{\prime}(a)=\lim _{x \rightarrow a}\left(\left(H(g(x))+f^{\prime}(g(a))\right) \cdot \frac{g(x)-g(a)}{x-a}\right).$$ d. Show that \(h^{\prime}(a)=f^{\prime}(g(a)) g^{\prime}(a)\).

Logistic growth Scientists often use the logistic growth function \(P(t)=\frac{P_{0} K}{P_{0}+\left(K-P_{0}\right) e^{-r_{d}}}\) to model population growth, where \(P_{0}\) is the initial population at time \(t=0, K\) is the carrying capacity, and \(r_{0}\) is the base growth rate. The carrying capacity is a theoretical upper bound on the total population that the surrounding environment can support. The figure shows the sigmoid (S-shaped) curve associated with a typical logistic model. World population (part 1 ) The population of the world reached 6 billion in \(1999(t=0)\). Assume Earth's carrying capacity is 15 billion and the base growth rate is \(r_{0}=0.025\) per year. a. Write a logistic growth function for the world's population (in billions) and graph your equation on the interval \(0 \leq t \leq 200\) using a graphing utility. b. What will the population be in the year 2020? When will it reach 12 billion?

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