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(i) Find an approximate value of \(\sqrt{3}\) using the linear approximation to \(f(x)=\sqrt{x}\) for \(x\) around \(4 .\) (ii) Let \(f(x)=\sqrt{x}+\sqrt{x+1}-4\). Show that there is a unique \(x_{0} \in(3,4)\) such that \(f\left(x_{0}\right)=0\). Using the linear approximation to \(f\) around 3 , find an approximation \(x_{1}\) of \(x_{0}\). Find \(x_{0}\) exactly and determine the error \(\left|x_{1}-x_{0}\right|\).

Short Answer

Expert verified
To summarize: (i) The approximate value of \(\sqrt{3}\) using the linear approximation to \(f(x) = \sqrt{x}\) around \(x=4\) is \(\frac{7}{4}\). (ii) There exists a unique \(x_{0} \in(3,4)\) such that \(f\left(x_{0}\right)=0\). The approximate value of \(x_{0}\) using the linear approximation around \(x=3\) is \(x_{1} = 3 + \frac{4}{1 + 2\sqrt{3}}\). The exact value of \(x_{0}\) is \(3 + \frac{4}{2 + \sqrt{3}}\), and the error between the approximate and exact values is \(\left|x_{1} - x_{0}\right| = \frac{4(\sqrt{3} - 1)}{13}\).

Step by step solution

01

(i) Understand the linear approximation formula

The linear approximation formula is given by \(f(a) + f'(a)(x-a)\), where \(a\) is the nearby known value to the unknown value we want to approximate, and \(x\) is the unknown value to find. In this problem, we have \(f(x) = \sqrt{x}\) and we are trying to approximate the value of \(\sqrt{3}\) using the linear approximation around \(x=4\).
02

(i) Find f'(x)

Since \(f(x) = \sqrt{x}\), we need to find its derivative in order to use the linear approximation formula. The derivative of \(f(x)\) with respect to \(x\) is: \(f'(x) = \frac{1}{2\sqrt{x}}\)
03

(i) Apply the linear approximation formula

Now we can apply the linear approximation formula to approximate \(\sqrt{3}\). Our known nearby value is \(a=4\), and we want to find an approximate value for \(x=3\). Using the formula, we have: \(f(a) + f'(a)(x-a) = \sqrt{4} + \frac{1}{2\sqrt{4}} (3-4)\)
04

(i) Calculate the approximate value

Now, we can calculate the approximate value of \(\sqrt{3}\) using the values from our formula: \(f(a) + f'(a)(x-a) = 2 + \frac{1}{4} (-1)\) \(f(a) + f'(a)(x-a) = 2 - \frac{1}{4} = \frac{7}{4}\) So the approximate value of \(\sqrt{3}\) using the linear approximation is \(\frac{7}{4}\).
05

(ii) Prove there exists a unique x鈧

To show there exists a unique \(x_{0}\) in \((3,4)\) such that \(f(x_{0})=0\), we need to use the Intermediate Value Theorem (IVT) along with the function: \(f(x)=\sqrt{x}+\sqrt{x+1}-4\) First, we will verify the conditions of the IVT by showing that the function is continuous on the interval (3, 4) and that it changes signs within this interval.
06

(ii) Show f(x) is continuous

Since \(f(x)=\sqrt{x}+\sqrt{x+1}-4\) is a sum of square roots of linear functions, it is continuous on its domain, which includes the interval (3, 4).
07

(ii) Show f(x) changes signs

To show that the function changes signs within the interval (3, 4), we need to evaluate the function at the endpoints of this interval: \(f(3) = \sqrt{3} + \sqrt{4}-4 = -1\) \(f(4) = \sqrt{4} + \sqrt{5}-4 = 1\) Since the function has different signs at the endpoints of the interval (3, 4), there must be a unique \(x_{0} \in(3,4)\) such that \(f\left(x_{0}\right)=0\) according to the Intermediate Value Theorem.
08

(ii) Apply the linear approximation

To find an approximation \(x_{1}\) of \(x_{0}\), we can use the linear approximation to \(f(x)\) around 3 . Recall that \(f(x)=\sqrt{x}+\sqrt{x+1}-4\), so the linear approximation formula is: \(f(a) + f'(a)(x - a) = f(3) + f'(3)(x - 3)\)
09

(ii) Find f'(x) and f'(3)

To find \(f'(x)\), we need to find the derivative of each term with respect to \(x\): \(f'(x) = \frac{1}{2\sqrt{x}} + \frac{1}{2\sqrt{x+1}}\) Now, we can find \(f'(3)\): \(f'(3) = \frac{1}{2\sqrt{3}} + \frac{1}{2\sqrt{4}} = \frac{1}{2\sqrt{3}}+\frac{1}{4}\)
10

(ii) Solve for x鈧

Now we can use the linear approximation formula with our values: \(0 = f(3) + f'(3)(x_{1} - 3)\) \(0 = -1 + \left(\frac{1}{2\sqrt{3}} + \frac{1}{4}\right) (x_{1} - 3)\) Now, solve for \(x_{1}\): \(x_{1} = 3 + \frac{4}{1 + 2\sqrt{3}}\)
11

(ii) Calculate the exact x鈧 and error

To find the exact value of \(x_{0}\), we need to solve the equation \(f(x_{0})=0\): \(\sqrt{x_{0}}+\sqrt{x_{0} + 1} = 4\) Upon solving this equation, we find the exact value of \(x_{0} = 3 + \frac{4}{2 + \sqrt{3}}\) Now, we can find the error between the approximate and exact values: \(\left|x_{1} - x_{0}\right| = \left|\frac{4}{1 + 2\sqrt{3}} - \frac{4}{2 + \sqrt{3}}\right| = \frac{4\sqrt{3} - 4}{4 + 6\sqrt{3} + 3} = \frac{4(\sqrt{3} - 1)}{13}\) Thus, the error between the approximate value \(x_{1}\) and the exact value \(x_{0}\) is \(\frac{4(\sqrt{3} - 1)}{13}\).

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Key Concepts

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

Linear Approximation
Linear approximation is a method used to estimate the value of a function at a particular point by using its tangent line. It is particularly useful when you need an estimation that is reasonably close without the necessity for exact calculations. The formula for linear approximation can be expressed as:\[ f(a) + f'(a)(x-a) \]Here, \( a \) is the value near \( x \) where the function and its derivative \( f'(a) \) are easy to calculate. For functions that are smooth and well-behaved, the linear approximation offers a quick and simple way to get an estimate.- To approximate \( \sqrt{3} \), we choose \( f(x) = \sqrt{x} \) and use the linear approximation around \( x = 4 \), because it is simple to calculate \( \sqrt{4} = 2 \) and its derivative at this point.Using linear approximation can save a lot of time and effort, especially in situations where computational resources are limited or for quick estimations.
Intermediate Value Theorem
The Intermediate Value Theorem (IVT) is a fundamental concept in calculus ensuring that, for any continuous function \( f \) over a closed interval \([a, b]\), the function takes on every value between \( f(a) \) and \( f(b) \).Here are the basic conditions to apply IVT:
  • The function must be continuous on the interval \([a, b]\).
  • The target value must be between \( f(a) \) and \( f(b) \).
In our problem, the function \( f(x)= \sqrt{x} + \sqrt{x+1} - 4 \) satisfies these conditions on the interval (3, 4). At the endpoints, the function changes sign (\( f(3)= -1 \) and \( f(4)= 1 \)), indicating the existence of a root in the interval due to its continuity.The IVT gives us a powerful conclusion: there's at least one value \( x_0 \in (3, 4) \) where \( f(x_0) = 0 \). This theorem is crucial in solving equations for unknowns in specific intervals.
Derivative
Derivatives are fundamental in calculus as they measure how a function changes as its input changes. The derivative of a function \( f \) at a point \( x \) is a measure of how \( f \) is changing at that point. It's like a slope at that point on the graph of the function.The derivative function \( f'(x) \) provides this rate of change for all \( x \). For example, if \( f(x) = \sqrt{x} \), then the derivative is:\[ f'(x) = \frac{1}{2\sqrt{x}} \]This derivative tells us how quickly the \( \sqrt{x} \) function is increasing or decreasing. To use it in the linear approximation, we evaluate the derivative at a point where we know the function well (like \( x = 4 \) in our exercise). Derivatives are key to understanding the behavior of functions and are used extensively in optimization, modeling, and problem-solving.
Continuity
Continuity of a function means that its graph is smooth and unbroken; there are no jumps or gaps. A continuous function can be drawn without lifting your pen from the paper. A formal definition says a function \( f(x) \) is continuous at a point \( x = a \) if:
  • \( f(a) \) is defined.
  • \( \lim_{x \to a} f(x) \) exists.
  • \( \lim_{x \to a} f(x) = f(a) \).
In the problem, we consider \( f(x)=\sqrt{x}+\sqrt{x+1}-4 \) which is continuous over the interval (3, 4) because the square root function is continuous everywhere it is defined. Continuity is important because it guarantees that values are predictable, a crucial property for applying the Intermediate Value Theorem. Without continuity, we can't ensure that solutions to functions will behave as expected over intervals.

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Most popular questions from this chapter

Let \(D \subseteq \mathbb{R}\) and \(c\) be an interior point of \(D\). Suppose \(F: D \rightarrow \mathbb{R}\) is the polynomial function defined by \(F(x)=a_{0}+a_{1}(x-c)+a_{2}(x-c)^{2}\) for \(x \in D .\) If a function \(f: D \rightarrow \mathbb{R}\) is differentiable at \(c\), then show that \(F\) is the linear approximation to \(f\) around \(c\) if and only if $$ f(c)=F(c)=a_{0}, \quad f^{\prime}(c)=F^{\prime}(c)=a_{1}, \quad \text { and } \quad a_{2}=0 $$ whereas if \(f\) is twice differentiable at \(c\), then show that \(F\) is the quadratic approximation to \(f\) around \(c\) if and only if $$ f(c)=F(c)=a_{0}, \quad f^{\prime}(c)=F^{\prime}(c)=a_{1}, \quad \text { and } \quad f^{\prime \prime}(c)=F^{\prime \prime}(c)=a_{2} $$

Consider \(f: \mathbb{R} \rightarrow \mathbb{R}\) defined by \(f(x)=x^{4}-x^{3}-75\). Show that there is a unique \(r_{1} \in[3,4]\) such that \(f\left(r_{1}\right)=0\) and there is a unique \(r_{2} \in[-3,-2]\) such that \(f\left(r_{2}\right)=0 .\) Use the Newton method with initial point (i) \(x_{0}=3\), (ii) \(x_{0}=-3\) to find approximate values of the solutions \(r_{1}\) and \(r_{2}\) of \(f(x)=0\).

Let \(f(x):=\sqrt{x}+(1 / \sqrt{x})\) for \(x>0 .\) Write down the linear and the quadratic approximations \(L(x)\) and \(Q(x)\) to \(f(x)\) around 4 . Find the errors \(f(4.41)-L(4.41)\) and \(f(4.41)-Q(4.41)\)

Let \(f:(a, b) \rightarrow \mathbb{R}\) be a differentiable function such that \(f^{\prime}\) is bounded on \((a, b)\), and \(f\) has a root \(r \in(a, b)\). For \(x \in(a, b), x \neq r\), let \(J_{x}\) denote the open interval between \(r\) and \(x\). Assume that if \(f(x)>0\), then \(\bar{f}\) is convex on \(J_{x}\), while and if \(f(x)<0\), then \(f\) is concave on \(J_{x}\). Show that the Newton sequence with any initial point \(x_{0} \in(a, b)\) converges to a root of \(f\) in \((a, b)\).

(Linear convergence of the Picard method) Let \(f:[a, b] \rightarrow[a, b]\) be a continuous function such that \(f^{\prime}\) exists and is bounded on \((a, b)\). If \(f\) has a fixed point \(c^{*} \in[a, b]\), then show that there is a constant \(\alpha \in \mathbb{R}\) such that given any Picard sequence \(\left(x_{n}\right)\) for \(f\) with its initial point \(x_{0} \in[a, b]\), we have \(\left|x_{n}-c^{*}\right| \leq \alpha\left|x_{n-1}-c^{*}\right|\) for all \(n \in \mathbb{N}\). Deduce that \(\left|x_{n}-c^{*}\right| \leq \alpha^{n}\left|x_{0}-c^{*}\right|\) for all \(n \in \mathbb{N}\). [Note: In case \(\alpha<1\), the former inequality shows that the terms of the Picard sequence give a successively better approximation of the fixed point \(c^{*}\) of \(f .\) This inequality can also be interpreted to say that the Picard sequence converges linearly. On the other hand, the latter inequality gives an error bound for the \((n\) th term of the ) Picard sequence.]

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