Problem 52
Question
Let \(c=4, F(x)=1+3 x, G(x)=\sqrt{x}\) and \(H(x)=x /(x+5) .\) Calculate the requested derivative. $$ \left(\frac{d}{d x} F \circ\left(\frac{H}{G}\right)\right)(c) $$
Step-by-Step Solution
Verified Answer
The derivative \(\left(\frac{d}{d x} F \circ\left(\frac{H}{G}\right)\right)(c)\) at \(c=4\) is \(\frac{1}{108}\).
1Step 1: Identify Composite Function
The given expression is the derivative of the composition of functions: \(F\), \(H\), and \(G\). We need to find \(\frac{H}{G}(x)\) first, which is \(\frac{x/(x+5)}{\sqrt{x}}\). The composite function is \(F\left(\frac{H}{G}\right)(x) = 1 + 3\frac{x/(x+5)}{\sqrt{x}}\).
2Step 2: Simplify the Inner Function
Simplify \(\frac{H}{G}(x)\). This gives: \[ \frac{x}{x+5} \cdot \frac{1}{\sqrt{x}} = \frac{\sqrt{x}}{x+5} \], because \(\frac{x}{\sqrt{x}} = \sqrt{x}\). Substitute into \(F(x)\): \[ F\left(\frac{H}{G}(x)\right) = 1 + 3 \cdot \frac{\sqrt{x}}{x+5} \].
3Step 3: Differentiate the Composite Function
Use the chain rule to differentiate \(F\left(\frac{H}{G}(x)\right)\). The derivative \( (F(u))' = 3u' \), where \(u = \frac{\sqrt{x}}{x+5} \). First find \(u'\) using the quotient rule: \[ u' = \frac{(x+5)(\frac{1}{2\sqrt{x}}) - \sqrt{x}}{(x+5)^2} = \frac{(x+5)\cdot\frac{1}{2\sqrt{x}} - \sqrt{x}}{(x+5)^2} \].
4Step 4: Evaluate the Derivative at \(c=4\)
Substitute \(x=4\) in \(u'(x)\): \[ u' = \frac{(4+5)\cdot \frac{1}{2\sqrt{4}} - \sqrt{4}}{(4+5)^2} = \frac{9 \cdot \frac{1}{4} - 2}{81} = \frac{\frac{9}{4} - 2}{81} = \frac{\frac{1}{4}}{81} = \frac{1}{324} \]. Multiply by 3: \(3u' = \frac{3}{324} = \frac{1}{108}\).
5Step 5: Final Result
Thus, the derivative of the composition at \(x=4\) is \(\frac{1}{108}\).
Key Concepts
Chain RuleQuotient RuleComposite FunctionDifferentiation
Chain Rule
In calculus, the chain rule helps us find the derivative of composite functions. Imagine you have two functions, say, \(f(x)\) and \(g(x)\), where the output of \(g(x)\) becomes the input for \(f(x)\). In such a scenario, if you want to differentiate the composite function \(f(g(x))\), you apply the chain rule.
The chain rule states:
The chain rule states:
- First, differentiate the outer function \(f\) with respect to the inner function \(g(x)\).
- Then, multiply this by the derivative of the inner function \(g\) with respect to \(x\).
Quotient Rule
The quotient rule is a technique used to differentiate functions that are presented as a division of two expressions. Suppose you have a function \(h(x) = \frac{f(x)}{g(x)}\). To find the derivative of \(h(x)\), we apply the quotient rule, which is a special formula used in differentiation.
The formula for the quotient rule is:
The formula for the quotient rule is:
- Take the derivative of the numerator \(f(x)\), multiply it by the denominator \(g(x)\).
- Then, subtract the product of the numerator \(f(x)\) and the derivative of the denominator \(g(x)\).
- Finally, divide all of this by the square of the denominator \(g(x)^2\).
Composite Function
A composite function, in simple terms, is a function that is made up of two or more functions. It's like taking the output of one function and feeding it as the input of another. In notation, if \(f\) and \(g\) are functions, the composite function \(f \circ g\) is defined by \(f(g(x))\).
To understand composite functions, think of them as boxed processes:
To understand composite functions, think of them as boxed processes:
- First, the value of \(x\) goes through \(g(x)\) to get a new result.
- This result is then processed by \(f(x)\).
Differentiation
Differentiation is a fundamental concept in calculus, representing how a function changes as its input changes. It's all about finding the rate at which something varies, which is called the derivative. For any function \(f(x)\), the derivative, denoted \(f'(x)\) or \(\frac{df}{dx}\), tells us how \(f\) changes with a change in \(x\).
Here are a few key points about differentiation:
Here are a few key points about differentiation:
- It's the process of finding the derivative, and there are specific rules, like the chain rule and quotient rule, to find derivatives systematically.
- It is applied for calculating slopes of curves, rates of change, and optimization problems.
- In a simple graphical sense, finding a derivative at a point gives the slope of the tangent line to a function's graph at that point.
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