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Determine whether the limit exists. If so, find its value. $$ \lim _{(x, y, z) \rightarrow(0,0,0)} \frac{\sin \sqrt{x^{2}+y^{2}+z^{2}}}{x^{2}+y^{2}+z^{2}} $$

Short Answer

Expert verified
The limit does not exist as it diverges to infinity.

Step by step solution

01

Identify the Form

The given limit is \[ \lim _{(x, y, z) \rightarrow(0,0,0)} \frac{\sin\sqrt{x^{2}+y^{2}+z^{2}}}{x^{2}+y^{2}+z^{2}} \]When considering the limit as \((x, y, z) \rightarrow (0,0,0)\),the expression is in a potential indeterminate form \(\frac{0}{0}\). This suggests that a more detailed analysis or a useful limit property is needed.
02

Introduce a Substitute Variable

To simplify the expression, let \(r = \sqrt{x^2 + y^2 + z^2}\). When \((x, y, z) \rightarrow (0,0,0)\), \(r \rightarrow 0\). The expression then becomes:\[ \lim_{r \rightarrow 0} \frac{\sin r}{r^2} \]This reformulation is pivotal for considering limit properties.
03

Apply Squeeze Theorem

Recall that \(-1 \leq \sin r \leq 1\), leading to \(-\frac{1}{r^2} \leq \frac{\sin r}{r^2} \leq \frac{1}{r^2}\).As \(r \rightarrow 0\), \(\frac{1}{r^2} \rightarrow \infty\),indicating that the function \(\frac{\sin r}{r^2}\) does not approach a finite limit, but diverges.
04

Conclude Limit Divergence

At \((x, y, z) = (0,0,0)\), the conditions of the Squeeze Theorem confirm that the function diverges with the outer bounds diverging toward infinity. Therefore, according to the limit analysis, this limit does not exist.

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Key Concepts

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

Squeeze Theorem
The Squeeze Theorem is a handy tool in calculus, especially when dealing with limits that appear tricky to solve directly. Here's how it works: if you have three functions, say \( f(x) \), \( g(x) \), and \( h(x) \), and you know that \( f(x) \leq g(x) \leq h(x) \) for all \( x \) near a point \( a \), except possibly at \( a \) itself, and if the limit of \( f(x) \) and \( h(x) \) as \( x \) approaches \( a \) is \( L \), then \( \lim_{{x \to a}} g(x) = L \) as well. It essentially "squeezes" \( g(x) \) to the same limit by bounding it with the two other functions.In the context of the given problem, we reformulated the expression and considered \(-1 \leq \sin r \leq 1\), which allowed us to create bounds for \( \frac{\sin r}{r^2} \) as \(-\frac{1}{r^2} \leq \frac{\sin r}{r^2} \leq \frac{1}{r^2} \). As \( r \) approaches zero, the outer bounds \(-\frac{1}{r^2}\) and \( \frac{1}{r^2} \) diverge to infinity; thus, using the Squeeze Theorem in this case shows that the original function diverges and does not converge to a finite limit.
Indeterminate Forms
Indeterminate forms arise commonly in calculus when evaluating limits. An indeterminate form, such as \( \frac{0}{0} \) or \( \frac{\infty}{\infty} \), signals that standard algebraic simplification is insufficient to find the limit. Instead, it requires more strategic approaches like applying L'Hopital's Rule, algebraic manipulation, or using useful limit properties.For the given exercise, when approaching \((x, y, z) \to (0,0,0)\), the expression becomes \( \frac{0}{0} \). This is a typical indeterminate form where direct substitution would not provide an answer. By introducing a new variable \( r = \sqrt{x^2 + y^2 + z^2} \), we transition the problem into a more manageable expression: \( \lim_{r \to 0} \frac{\sin r}{r^2} \). This form allows us to use known boundaries for sine functions in conjunction with the Squeeze Theorem to determine the behavior of the limit.
Limit Divergence
Limit divergence in calculus occurs when a function doesn't approach a finite limit as the variable approaches a certain point. Instead, the function might increase or decrease without bound, or behave erratically. This result signifies that the limit does not exist in the typical sense.In our problem, applying the Squeeze Theorem revealed that both bounds, \( \frac{-1}{r^2} \) and \( \frac{1}{r^2} \), go to infinity as \( r \rightarrow 0 \). Since the function \( \frac{\sin r}{r^2} \) is trapped between these two diverging bounds, it also diverges. Thus, for the point \((x, y, z) = (0,0,0)\), the limit doesn't settle at any particular value, confirming its divergence. This understanding is crucial in multivariable calculus, emphasizing the broader possibilities when analyzing limits in multiple dimensions.

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Most popular questions from this chapter

A common problem in experimental work is to obtain a mathematical relationship \(y=f(x)\) between two variables \(x\) and \(y\) by "fitting" a curve to points in the plane that correspond to experimentally determined values of \(x\) and \(y,\) say $$ \left(x_{1}, y_{1}\right),\left(x_{2}, y_{2}\right), \ldots,\left(x_{n}, y_{n}\right) $$ The curve \(y=f(x)\) is called a mathematical model of the data. The general form of the function \(f\) is commonly determined by some underlying physical principle, but sometimes it is just determined by the pattern of the data. We are concerned with fitting a straight line \(y=m x+b\) to data. Usually, the data will not lie on a line (possibly due to experimental error or variations in experimental conditions), so the problem is to find a line that fits the data "best" according to some criterion. One criterion for selecting the line of best fit is to choose \(m\) and \(b\) to minimize the function $$ g(m, b)=\sum_{i=1}^{n}\left(m x_{i}+b-y_{i}\right)^{2} $$ This is called the method of least squares, and the resulting line is called the regression line or the least squares line of best fit. Geometrically, \(\left|m x_{i}+b-y_{i}\right|\) is the vertical distance between the data point \(\left(x_{i}, y_{i}\right)\) and the line \(y=m x+b\) These vertical distances are called the residuals of the data points, so the effect of minimizing \(g(m, b)\) is to minimize the sum of the squares of the residuals. In these exercises, we will derive a formula for the regression line. The purpose of this exercise is to find the values of \(m\) and \(b\) that produce the regression line. (a) To minimize \(g(m, b),\) we start by finding values of \(m\) and \(b\) such that \(\partial g / \partial m=0\) and \(\partial g / \partial b=0 .\) Show that these equations are satisfied if \(m\) and \(b\) satisfy the conditions $$ \left(\sum_{i=1}^{n} x_{i}^{2}\right) m+\left(\sum_{i=1}^{n} x_{i}\right) b=\sum_{i=1}^{n} x_{i} y_{i} $$ \(\left(\sum_{i=1}^{n} x_{i}\right) m+n b=\sum_{i=1}^{n} y_{i}\) (b) Let \(\bar{x}=\left(x_{1}+x_{2}+\cdots+x_{n}\right) / n\) denote the arithmetic average of \(x_{1}, x_{2}, \ldots, x_{n} .\) Use the fact that $$ \sum_{i=1}^{n}\left(x_{i}-\bar{x}\right)^{2} \geq 0 $$ to show that $$ n\left(\sum_{i=1}^{n} x_{i}^{2}\right)-\left(\sum_{i=1}^{n} x_{i}\right)^{2} \geq 0 $$ with equality if and only if all the \(x_{i}\) 's are the same. (c) Assuming that not all the \(x_{i}\) 's are the same, prove that the equations in part (a) have the unique solution $$ \begin{aligned} m=& \frac{n \sum_{i=1}^{n} x_{i} y_{i}-\sum_{i=1}^{n} x_{i} \sum_{i=1}^{n} y_{i}}{n \sum_{i=1}^{n} x_{i}^{2}-\left(\sum_{i=1}^{n} x_{i}\right)^{2}} \\ b=& \frac{1}{n}\left(\sum_{i=1}^{n} y_{i}-m \sum_{i=1}^{n} x_{i}\right) \end{aligned} $$ [Note: We have shown that \(g\) has a critical point at these values of \(m\) and \(b\). In the next exercise we will show that \(g\) has an absolute minimum at this critical point. Accepting this to be so, we have shown that the line \(y=m x+b\) is the regression line for these values of \(m \text { and } b .]\)

Let \(z=\sqrt{x} \cos y .\) Find $$ \begin{array}{ll}{\text { (a) } \partial^{2} z / \partial x^{2}} & {\text { (b) } \partial^{2} z / \partial y^{2}} \\ {\text { (c) } \partial^{2} z / \partial x \partial y} & {\text { (d) } \partial^{2} z / \partial y \partial x}\end{array} $$

Solve using Lagrange multipliers. Find the point on the line \(y=2 x+3\) that is closest to \((4,2)\)

A manufacturer makes two models of an item, standard and deluxe. It costs \(\$ 40\) to manufacture the standard model and \(\$ 60\) for the deluxe. A market research firm estimates that if the standard model is priced at \(x\) dollars and the deluxe at \(y\) dollars, then the manufacturer will sell \(500(y-x)\) of the standard items and \(45,000+500(x-2 y)\) of the deluxe each year. How should the items be priced to maximize the profit?

Let \(f(x, y)=\left(x^{2}+y^{2}\right)^{2 / 3} .\) Show that $$ f_{x}(x, y)=\left\\{\begin{array}{cc}{\frac{4 x}{3\left(x^{2}+y^{2}\right)^{1 / 3}},} & {(x, y) \neq(0,0)} \\ {0,} & {(x, y)=(0,0)}\end{array}\right. $$

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