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Find the derivatives of the functions. $$r=\sec \sqrt{\theta} \tan \left(\frac{1}{\theta}\right)$$

Short Answer

Expert verified
The derivative is \( r' = \frac{1}{2\sqrt{\theta}} \sec \sqrt{\theta} \tan \sqrt{\theta} \tan \left(\frac{1}{\theta}\right) - \frac{\sec \sqrt{\theta} \sec^2 \left(\frac{1}{\theta}\right)}{\theta^2} \).

Step by step solution

01

Identify the Function

The function to differentiate is given as \( r = \sec \sqrt{\theta} \cdot \tan \left(\frac{1}{\theta}\right) \). This is a product of two functions: \( u(\theta) = \sec \sqrt{\theta} \) and \( v(\theta) = \tan \left(\frac{1}{\theta}\right) \). We'll apply the product rule.
02

Apply the Product Rule

Using the product rule \( (uv)' = u'v + uv' \), we need to find the derivatives \( u'(\theta) \) and \( v'(\theta) \). We know \( u = \sec \sqrt{\theta} \) and \( v = \tan \left(\frac{1}{\theta}\right) \).
03

Differentiate \( u(\theta) = \sec \sqrt{\theta} \)

Use the chain rule to differentiate. Let \( z = \sqrt{\theta} \), then \( u(\theta) = \sec z \). The derivative of \( \sec z \) is \( \sec z \tan z \), and \( z' = \frac{1}{2\sqrt{\theta}} \). So, \( u' = \sec \sqrt{\theta} \tan \sqrt{\theta} \cdot \frac{1}{2\sqrt{\theta}} \).
04

Differentiate \( v(\theta) = \tan \left(\frac{1}{\theta}\right) \)

Using the chain rule, let \( w = \frac{1}{\theta} \), thus \( v(\theta) = \tan w \). The derivative of \( \tan w \) is \( \sec^2 w \) and \( w' = -\frac{1}{\theta^2} \). Therefore, \( v' = \sec^2 \left(\frac{1}{\theta}\right) \cdot \left(-\frac{1}{\theta^2}\right) \).
05

Substitute and Simplify

Now substitute \( u' \), \( v \), \( v' \), and \( u \) into the product rule equation. We have: \[ r' = \left(\sec \sqrt{\theta} \tan \sqrt{\theta} \cdot \frac{1}{2\sqrt{\theta}}\right) \tan \left(\frac{1}{\theta}\right) + \sec \sqrt{\theta} \left(-\frac{\sec^2 \left(\frac{1}{\theta}\right)}{\theta^2}\right) \]. Simplifying, we find \( r' \) by combining like terms.

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Key Concepts

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

Product Rule
The product rule is a fundamental tool in calculus for finding the derivative of a product of two functions. It states that if you have two functions, \( u(x) \) and \( v(x) \), then the derivative of their product \( u(x) v(x) \) is \((uv)' = u'v + uv'\). This means that you take the derivative of the first function and multiply by the second, then add the product of the first function and the derivative of the second function.

In the original problem, the function \( r \) is a product of two trigonometric expressions: \( u(\theta) = \sec \sqrt{\theta} \) and \( v(\theta) = \tan \left(\frac{1}{\theta}\right) \).

  • First, differentiate \( u(\theta) \) with respect to \( \theta \).
  • Then, differentiate \( v(\theta) \) with respect to \( \theta \).
  • Finally, apply the product rule to find the derivative of the entire expression.
This approach helps in breaking down complex problems into simpler parts, making it easier to understand and solve.
Chain Rule
The chain rule is another crucial concept in calculus used to find the derivative of composite functions. When you have a function inside another function, you'll use the chain rule, which states that if \( y = g(f(x)) \), then the derivative \( y' \) is \( g'(f(x)) \cdot f'(x) \).

In our exercise, the chain rule is applied twice. First, it helps differentiate \( u(\theta) = \sec \sqrt{\theta} \). We substitute \( z = \sqrt{\theta} \) so that \( u(\theta) = \sec(z) \), and differentiate accordingly. The outer function is \( \sec(z) \) and the inner function is \( z = \sqrt{\theta} \).

  • The derivative of \( \sec(z) \) is \( \sec(z) \tan(z) \).
  • The derivative of \( \sqrt{\theta} \) is \( \frac{1}{2\sqrt{\theta}} \).
  • Combine these using the chain rule to find \( u'(\theta) \).
Similarly, for \( v(\theta) = \tan \left(\frac{1}{\theta}\right) \), substitute \( w = \frac{1}{\theta} \). The outer function is \( \tan(w) \) and the inner function is \( w = \frac{1}{\theta} \).

  • Differentiate \( \tan(w) \) to get \( \sec^2(w) \).
  • The derivative of \( \frac{1}{\theta} \) is \( -\frac{1}{\theta^2} \).
  • Use the chain rule for \( v'(\theta) \).
Trigonometric Functions
Trigonometric functions like \( \sec \) and \( \tan \) are common in calculus and have well-known derivatives. Knowing these derivatives is essential for handling problems involving trigonometric expressions.

  • The derivative of \( \sec(x) \) is \( \sec(x) \tan(x) \).
  • The derivative of \( \tan(x) \) is \( \sec^2(x) \).
In our derivative problem, these derivatives play a key role. For \( u(\theta) = \sec \sqrt{\theta} \), the derivative involves \( \sec \sqrt{\theta} \tan \sqrt{\theta} \). For \( v(\theta) = \tan \left(\frac{1}{\theta}\right) \), the derivative involves \( \sec^2 \left(\frac{1}{\theta}\right) \).

Trigonometric identities and derivatives simplify calculations. They also help in combining terms effectively to obtain the final simplified form for the derivative \( r' \) in the exercise. Understanding and memorizing these derivatives allows you to tackle calculus problems efficiently, ensuring each step is clear and logical.

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Most popular questions from this chapter

Find the tangent to \(y=((x-1) /(x+1))^{2}\) at \(x=0\)

Suppose that \(y=f(x)\) is differentiable at \(x=a\) and that \(g(x)=\) \(m(x-a)+c\) is a linear function in which \(m\) and \(c\) are constants. If the error \(E(x)=f(x)-g(x)\) were small enough near \(x=a\) we might think of using \(g\) as a linear approximation of \(f\) instead of the linearization \(L(x)=f(a)+f^{\prime}(a)(x-a) .\) Show that if we impose on \(g\) the conditions 1\. \(E(a)=0\) 2\. \(\lim _{x \rightarrow a} \frac{E(x)}{x-a}=0\) then \(g(x)=f(a)+f^{\prime}(a)(x-a) .\) Thus, the linearization \(L(x)\) gives the only linear approximation whose error is both zero at \(x=a\) and negligible in comparison with \(x-a\)

Use a CAS to estimate the magnitude of the error in using the linearization in place of the function over a specified interval \(I\). Perform the following steps: a. Plot the function \(f\) over \(I\) b. Find the linearization \(L\) of the function at the point \(a\) c. Plot \(f\) and \(L\) together on a single graph. d. Plot the absolute error \(|f(x)-L(x)|\) over \(I\) and find its maximum value. e. From your graph in part (d), estimate as large a \(\delta>0\) as you can, satisfying \(|x-a|<\delta \quad \Rightarrow \quad|f(x)-L(x)|<\epsilon\) for \(\epsilon=0.5,0.1,\) and \(0.01 .\) Then check graphically to see if your \(\delta\) -estimate holds true. $$f(x)=x^{3}+x^{2}-2 x, \quad[-1,2], \quad a=1$$

Assume that \(f^{\prime}(3)=-1, g^{\prime}(2)=5, g(2)=3,\) and \(y=f(g(x))\) What is \(y^{\prime}\) at \(x=2 ?\)

Find the value of \((f \circ g)^{\prime}\) at the given value of \(x\). $$f(u)=\left(\frac{u-1}{u+1}\right)^{2}, \quad u=g(x)=\frac{1}{x^{2}}-1, \quad x=-1$$

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