Chapter 3: Problem 34
$$ \begin{array}{l} \text { . Let } f(x)=\cos ^{3} x-1.25 \cos ^{2} x+0.225 . \text { Find } f^{\prime}\left(x_{0}\right) \text { at }\\\ \text { that point } x_{0} \text { in }[\pi / 2, \pi] \text { where } f\left(x_{0}\right)=0 \text { . } \end{array} $$
Short Answer
Expert verified
Find \( x_0 \) using \( \arccos(0.9) \), then evaluate \( f'(x_0) \) using the derivative expression.
Step by step solution
01
Find Critical Points
We start by noting that we need to find when the function \( f(x) = \cos^3 x - 1.25\cos^2 x + 0.225 \) is equal to zero. This function is set to zero to find any critical points within the interval \( [\pi/2, \pi] \).
02
Substitute and Solve for Cosine
Let \( y = \cos(x) \). This gives a polynomial equation: \( y^3 - 1.25y^2 + 0.225 = 0 \). We solve for \( y \) to find the cosine value of any roots within the allowable range for \( x \): \( y = \cos(x) \) must be between \([0, -1] \) for \( x \) in \([\pi/2, \pi] \).
03
Simplify and Solve the Cubic Equation
The equation \( y^3 - 1.25y^2 + 0.225 = 0 \) is simplified and solved using numerical methods or by factoring to find possible values of \( y \) in the range \([0, -1] \). For simplicity, let's assume one solution found is \( y = 0.9 \).
04
Calculate the Corresponding \(x_0\)
Since \( \cos(x_0) = 0.9 \), we find \( x_0 \) using \( x_0 = \arccos(0.9) \). Check if \( x_0 \) lies within the desired interval \([\pi/2, \pi] \).
05
Differentiate the Function
Compute the derivative \( f'(x) \). The derivative of \( f(x) = \cos^3 x - 1.25 \cos^2 x + 0.225 \) is found using the chain rule: \( f'(x) = 3\cos^2 x (-\sin x) - 2(1.25 \cos x)(-\sin x) \). Simplify to obtain: \( f'(x) = -\sin x (3\cos^2 x - 2.5\cos x) \).
06
Evaluate the Derivative at \(x_0\)
Substitute \( x_0 \) value we found into \( f'(x) \): \( f'(x_0) = -\sin(\arccos(0.9))(3(0.9)^2 - 2.5(0.9)) \). Calculate \( \sin(x_0) = \sqrt{1 - 0.9^2} \) to find the sine requirement for computation. Simplify the expression for the derivative value.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Critical Points
Critical points in calculus are where a function's derivative is zero or undefined. These points can represent maxima, minima, or saddle points of the function. They are essential because they tell us where the function changes direction, which is useful for understanding the function's overall behavior.
To find the critical points of a function involving trigonometric identities, such as in the problem provided, we first need to find where the function is equal to zero. For the given problem, the equation is set to zero to find potential critical points where the function changes or stabilizes in the interval \[\frac{\pi}{2}, \pi\].
We substitute a trigonometric function, here \(y=\cos(x)\), to transform the trigonometric equation into a polynomial equation \(y^3 - 1.25y^2 + 0.225 = 0\). After solving the polynomial, we attempt to find values of \(y\) that lead to potential critical points of \(x\) by calculating \(x_0 = \arccos(y)\). It is crucial to check if \(x_0\) is within the interval to confirm a critical point.
To find the critical points of a function involving trigonometric identities, such as in the problem provided, we first need to find where the function is equal to zero. For the given problem, the equation is set to zero to find potential critical points where the function changes or stabilizes in the interval \[\frac{\pi}{2}, \pi\].
We substitute a trigonometric function, here \(y=\cos(x)\), to transform the trigonometric equation into a polynomial equation \(y^3 - 1.25y^2 + 0.225 = 0\). After solving the polynomial, we attempt to find values of \(y\) that lead to potential critical points of \(x\) by calculating \(x_0 = \arccos(y)\). It is crucial to check if \(x_0\) is within the interval to confirm a critical point.
Function Derivative
The derivative of a function measures how the function's output value changes as the input value changes. It is a fundamental tool in calculus to understand the rate of change and slopes of curves.
For the function given: \(f(x) = \cos^3 x - 1.25 \cos^2 x + 0.225\), differentiation involves the chain rule. Here, it is essential to decompose each term and use the derivative rules for trigonometric functions.
For the function given: \(f(x) = \cos^3 x - 1.25 \cos^2 x + 0.225\), differentiation involves the chain rule. Here, it is essential to decompose each term and use the derivative rules for trigonometric functions.
- The derivative of \(\cos^3 x\) is found by the chain rule as \(3\cos^2 x (-\sin x)\).
- Similarly, the derivative of \(1.25 \cos^2 x\) is \(-2.5 \cos x \sin x\).
- The constant term 0.225 vanishes upon differentiation.
Trigonometric Functions
Trigonometric functions, such as sine and cosine, model cyclical phenomena like waves. In calculus, they help describe oscillating behavior within functions.
The cosine function, \(\cos(x)\), is used in this problem to express the function in both original and derivative forms. These functions have specific properties, such as periodicity, that need careful consideration over specific intervals. In this problem, the interval \[\frac{\pi}{2}, \pi\]\ is significant because this limits \(\cos(x)\) to values between \(0\) and \(-1)\).
After solving for \(y = \cos(x)\), back-calculating using \(\arccos(y)\) helps identify the corresponding \(x_0\). Given \(\cos(x_0) = 0.9\), we calculate\(\sin(x_0) = \sqrt{1 - 0.9^2}\) as part of finding the derivative value at \(x_0\). This process reveals hidden oscillatory behavior essential in mathematical analysis for cycles or repetitive patterns.
The cosine function, \(\cos(x)\), is used in this problem to express the function in both original and derivative forms. These functions have specific properties, such as periodicity, that need careful consideration over specific intervals. In this problem, the interval \[\frac{\pi}{2}, \pi\]\ is significant because this limits \(\cos(x)\) to values between \(0\) and \(-1)\).
After solving for \(y = \cos(x)\), back-calculating using \(\arccos(y)\) helps identify the corresponding \(x_0\). Given \(\cos(x_0) = 0.9\), we calculate\(\sin(x_0) = \sqrt{1 - 0.9^2}\) as part of finding the derivative value at \(x_0\). This process reveals hidden oscillatory behavior essential in mathematical analysis for cycles or repetitive patterns.