Chapter 3: Problem 25
In Exercises \(25-28\) find \(d r / d \theta\). $$r=\tan (2-\theta)$$
Short Answer
Expert verified
The derivative of \(r\) with respect to \(\theta\), \(\frac{d r}{d \theta}\), is \(- \sec^2(2-\theta)\).
Step by step solution
01
Identify the Outer Function
In the function \(r=\tan (2-\theta)\), the outer function is \(\tan(x)\). The derivative of \(\tan(x)\) with respect to \(x\) is represented as \(1 / \cos^2(x)\).
02
Identify the Inner Function
In the function \(r=\tan (2-\theta)\), the inner function is \(2-\theta\). The derivative of \(2-\theta\) with respect to \(\theta\) is -1.
03
Apply the Chain Rule
The chain rule states that the derivative of a composite function is the derivative of the outer function times the derivative of the inner function. In this case, \(\frac{d r}{d \theta} =\frac{d \tan (2-\theta)}{d \theta} = \frac{d \tan (2-\theta)}{d (2-\theta)} * \frac{d (2-\theta)}{d \theta }\). Substituting the results from Steps 1 and 2 into this formula gives \(\frac{d r}{d \theta} =\frac{1}{ \cos^2 (2-\theta)} * -1 = - \sec^2(2-\theta)\), where \(\sec(x) = \frac{1}{\cos(x)}\).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Derivative of a Composite Function
Understanding the derivative of a composite function is crucial for calculus students. A composite function is, simply put, a function inside another function. If we denote our outer function as \(f\) and the inner function as \(g\), the composite function can be written as \(f(g(x))\).
To find the derivative of a composite function, we use the chain rule, which can be formulated as follows: if \(r = f(g(x))\), then \(\frac{dr}{dx} = f'(g(x)) \times g'(x)\). This means we first calculate the derivative of the outer function with respect to its inner function and then multiply it by the derivative of the inner function with respect to \(x\).
For example, if we have a composite function such as \(r = f(g(x)) = \tan(g(x))\), to find its derivative, we calculate the derivative of \(\tan(x)\)—which is \(\frac{1}{\text{cos}^2(x)}\) or \(\text{sec}^2(x)\)—and multiply it by the derivative of the inner function \(g(x)\). The end result gives us a formula to compute the rate of change of \(r\) with respect to \(x\), which can show the sensitivity of \(r\) to changes in \(x\). This is a fundamental concept in not just calculus, but in all of applied mathematics.
To find the derivative of a composite function, we use the chain rule, which can be formulated as follows: if \(r = f(g(x))\), then \(\frac{dr}{dx} = f'(g(x)) \times g'(x)\). This means we first calculate the derivative of the outer function with respect to its inner function and then multiply it by the derivative of the inner function with respect to \(x\).
For example, if we have a composite function such as \(r = f(g(x)) = \tan(g(x))\), to find its derivative, we calculate the derivative of \(\tan(x)\)—which is \(\frac{1}{\text{cos}^2(x)}\) or \(\text{sec}^2(x)\)—and multiply it by the derivative of the inner function \(g(x)\). The end result gives us a formula to compute the rate of change of \(r\) with respect to \(x\), which can show the sensitivity of \(r\) to changes in \(x\). This is a fundamental concept in not just calculus, but in all of applied mathematics.
Trigonometric Functions Differentiation
Trigonometric functions such as sine, cosine, and tangent are frequently encountered in calculus problems, and knowing how to differentiate these functions is vital. The derivatives of basic trigonometric functions are standard and must be memorized for efficient problem solving. Here are the key derivatives:
- The derivative of \(\text{sin}(x)\) is \(\text{cos}(x)\).
- The derivative of \(\text{cos}(x)\) is \(-\text{sin}(x)\).
- The derivative of \(\text{tan}(x)\) is \(\text{sec}^2(x)\).
Implicit Differentiation
There are scenarios in calculus where you have to deal with equations where \(y\) is not explicitly expressed as a function of \(x\). In such cases, we use implicit differentiation to find the derivative of \(y\) with respect to \(x\). This technique involves taking the derivative of both sides of an equation with respect to \(x\), while treating \(y\) as a function of \(x\) (even if that function isn't specified).