Problem 1

Question

Use the formula $$f(x) \approx f(a)+f^{\prime}(a)(x-a)$$ to approximate the value of the given function. Then compare your result with the value you get from a calculator. \(\sqrt{65} ;\) let \(f(x)=\sqrt{x}, a=64\), and \(x=65\)

Step-by-Step Solution

Verified
Answer
The approximation is \( 8.0625 \) and the calculator gives \( 8.0622577483 \).
1Step 1: Identify Key Components
We have the function \( f(x) = \sqrt{x} \), the approximation point \( a = 64 \), and the target point \( x = 65 \). We will use these in the formula for linear approximation: \[ f(x) \approx f(a) + f'(a)(x-a) \]
2Step 2: Calculate \( f(a) \)
First, calculate \( f(a) \) by substituting \( a = 64 \) into the function. Since \( f(x) = \sqrt{x} \), we have \( f(64) = \sqrt{64} = 8 \).
3Step 3: Determine \( f'(x) \) and \( f'(a) \)
Find the derivative of \( f(x) = \sqrt{x} \). The derivative is \( f'(x) = \frac{1}{2\sqrt{x}} \). Evaluate this derivative at \( a = 64 \): \( f'(64) = \frac{1}{2\sqrt{64}} = \frac{1}{16} \).
4Step 4: Plug Values into the Approximation Formula
Substitute \( f(a) = 8 \), \( f'(a) = \frac{1}{16} \), \( a = 64 \), and \( x = 65 \) into the formula: \[ f(x) \approx 8 + \left(\frac{1}{16}\right)(65 - 64) \]
5Step 5: Calculate the Approximation
Simplify the expression: \( f(x) \approx 8 + \frac{1}{16} \times 1 = 8 + \frac{1}{16} = 8.0625 \).
6Step 6: Validate with Calculator
Now calculate the actual value using a calculator: \( \sqrt{65} \approx 8.0622577483 \).
7Step 7: Compare Results
The calculator gives \( \sqrt{65} \approx 8.0622577483 \) which is very close to our approximation \( 8.0625 \). This demonstrates that the linear approximation is accurate near \( a = 64 \).

Key Concepts

Function ApproximationDerivative CalculationCalculus ProblemsNumerical Methods
Function Approximation
Function approximation is the process of estimating a complicated function using simpler mathematical expressions. This is particularly useful when exact calculations are complex or impossible to perform by hand. An essential tool in calculus for this purpose is linear approximation.

In this technique, we use a linear function as an estimate for the original function around a specific point. Understanding function approximation can help you grasp how we can estimate and understand behaviors of mathematical expressions in a simple manner. Linear approximation is often represented as:
  • \( f(x) \approx f(a) + f'(a)(x-a) \)
This equation allows us to use the value of the function and its derivative at a specific point \( a \) to estimate the function value at a nearby point \( x \). By mastering function approximation, you'll open doors to solving many real-world problems using simpler equations.
Derivative Calculation
Calculating the derivative is a crucial step in the process of function approximation. Derivatives describe how functions change and are foundational in understanding the behavior of functions.

For instance, the derivative of \( f(x) = \sqrt{x} \) is determined by applying differentiation rules, resulting in:
  • \( f'(x) = \frac{1}{2\sqrt{x}} \)
Derivatives guide us in approximating the tangent line at a given point which, in linear approximation, acts as our estimate for the function. The slope of this tangent line is precisely \( f'(a) \), evaluated at the chosen point \( a = 64 \). This slope helps us predict how \( f(x) \) behaves near \( a \).

Comprehending derivatives is key to handling complex calculus problems as it provides insights into a function's rate of change and assists in making educated estimations.
Calculus Problems
Solving calculus problems often involves breaking down complex expressions into simpler, more manageable parts. In the provided example, we're tasked with finding \( \sqrt{65} \) using linear approximation.

The technique takes advantage of simpler numbers, like \( 64 \), whose square root is known. By evaluating the function and its derivative at these simpler points, we can predict the value at the nearby, more difficult number \( 65 \). This not only reduces the computation effort but also aids in understanding how closely calculations can approximate true values.
  • Setting real-world limits: Linear approximations have the most accuracy near the chosen point \( a \).
  • Understanding practical implications: Knowing the limitations of approximations is just as important as performing the calculations.
By practicing calculus problems, you'll become adept at employing approximations effectively in a variety of contexts.
Numerical Methods
Numerical methods are mathematical techniques used to find approximate solutions to complex problems. Often, exact solutions are not feasible or practical, thus making these methods essential.

Linear approximation is a simple yet powerful numerical method. By evaluating the derivative arc and function at a specific point, it offers estimations that are easier but still highly accurate within a neighborhood of the chosen point.
  • Ease of implementation: With basic derivative knowledge, linear approximation can be utilized efficiently.
  • Essential in technology: Numerical methods form the backbone of many algorithms and simulations used in engineering, computer science, and applied sciences.
Mastering these concepts provides valuable tools for analyzing and approximating behaviors in various scientific and engineering domains. Numerical methods bridge the gap between theory and practice, equipping you with strategies to tackle complex issues.