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Show that \(f(x, y, z)=x^{2}+y^{2}+z^{2}\) is continuous at the origin.

Short Answer

Expert verified
The function \(f(x, y, z) = x^2 + y^2 + z^2\) is continuous at the origin because the limit as \((x, y, z)\) approaches \((0, 0, 0)\) equals the function value at the origin.

Step by step solution

01

Understand the Function

The function given is \(f(x, y, z) = x^2 + y^2 + z^2\). Our goal is to prove that this function is continuous at the point \((0, 0, 0)\). In order to do this, we need to show that the limit of \(f(x, y, z)\) as \((x, y, z)\) approaches \((0, 0, 0)\) is equal to \(f(0, 0, 0)\).
02

Calculate \(f(0, 0, 0)\)

To find \(f(0, 0, 0)\), substitute 0 for \(x\), \(y\), and \(z\) in the function: \[f(0, 0, 0) = 0^2 + 0^2 + 0^2 = 0.\] So, \(f(0, 0, 0) = 0\).
03

Write the Limit Definition for Continuity

For \(f(x, y, z)\) to be continuous at \((0, 0, 0)\), we need to show that: \[\lim_{(x, y, z) \to (0, 0, 0)} f(x, y, z) = f(0, 0, 0) = 0.\]
04

Evaluate the Limit as \((x, y, z)\) Approaches \((0, 0, 0)\)

We consider the general form of \(f(x, y, z) = x^2 + y^2 + z^2\) and want to show that its limit is 0 as \((x, y, z)\) approaches \((0, 0, 0)\). The limit can be expressed mathematically as: \[\lim_{(x, y, z) \to (0, 0, 0)} (x^2 + y^2 + z^2).\]
05

Use Squeeze Theorem to Show the Limit

Notice that \(x^2 + y^2 + z^2\) is always non-negative, thus: \[0 \leq x^2 + y^2 + z^2.\] Additionally, when \((x, y, z)\) are very close to \((0, 0, 0)\), \(x^2 + y^2 + z^2\) becomes very small, behaving like \(|x| + |y| + |z|\). Therefore, we can squeeze: \[0 \leq x^2 + y^2 + z^2 \leq |x|^2 + |y|^2 + |z|^2.\] As \((x, y, z)\) approaches \((0, 0, 0)\), \(|x|^2 + |y|^2 + |z|^2\) approaches 0, thus \(x^2 + y^2 + z^2\) must also approach 0. By the Squeeze Theorem, \[\lim_{(x, y, z) \to (0, 0, 0)} (x^2 + y^2 + z^2) = 0.\]
06

Conclusion

Since \(\lim_{(x, y, z) \to (0, 0, 0)} f(x, y, z) = 0 = f(0, 0, 0)\), we have shown that the function \(f(x, y, z)\) is continuous at the origin.

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Key Concepts

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

Limit of Multivariable Functions
Understanding the limit of multivariable functions involves grasping how a function behaves as its variables approach certain values. In our case, the function is given by \(f(x, y, z) = x^2 + y^2 + z^2\). To show continuity at the origin, we examine the limit as \((x, y, z)\) approaches \((0, 0, 0)\).

When dealing with multivariable limits, each variable individually approaches its target. Therefore, we watch how \(x\), \(y\), and \(z\) approach 0. A function is well-behaved at a point if the function yields the same result along any path to that point. Here, all paths, including straight lines and curves, lead to \(0\) when approaching \((0, 0, 0)\). Because the squared terms \(x^2, y^2, z^2\) cover any path without negative results, the function appears smooth and unified in its limit.
Squeeze Theorem
The Squeeze Theorem is a useful tool for evaluating the limits of functions where direct substitution isn't apt or where comparison can simplify the process. It helps establish the limit by bounding a function between two other functions whose limits are known or easier to find.

For the function \(x^2 + y^2 + z^2\), we know that each squared term is non-negative and small near the origin. Naturally, this suggests:
  • \(0 \leq x^2 + y^2 + z^2\)
  • alerts us that the function does not dip below 0.
When the inputs \(x, y, z\) are tiny, each squares these small numbers further, driving the entire output toward 0. Thus, by comparing with \(0\), we conclude under the Squeeze Theorem:

  • The middle function \(x^2 + y^2 + z^2\) is squashed down to zero.
This helps establish that the limit of \(x^2 + y^2 + z^2\) at the origin is indeed 0. Hence, the theorem effectively seals the entire argument.
Continuity at a Point
Continuity of a function at a point means that the function does not "jump" at this point and is smooth and predictable. Mathematically, for a function \(f(x, y, z)\) to be continuous at \((0, 0, 0)\), the limit of \(f(x, y, z)\) as \((x, y, z) \rightarrow (0, 0, 0)\) should match \(f(0, 0, 0)\).

For the function \(f(x, y, z) = x^2 + y^2 + z^2\), substituting \((0, 0, 0)\) into the function gives \(f(0, 0, 0) = 0\). From previous discussions, we know that as \((x, y, z)\) gets ever closer to \((0, 0, 0)\), \(x^2 + y^2 + z^2\) gets ever smaller, approaching 0.

In essence:
  • The proximity of \(f(x, y, z)\) to this value assures continuity.
  • Makes sure no sudden changes in the function’s behavior around \((0, 0, 0)\).
Thus, this balance of limits and evaluations assure us of its continuity at the desired point.

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Most popular questions from this chapter

Change along the involute of a circle Find the derivative of \(f(x, y)=x^{2}+y^{2}\) in the direction of the unit tangent vector of the curve $$\mathbf{r}(t)=(\cos t+t \sin t) \mathbf{i}+(\sin t-t \cos t) \mathbf{j}, \quad t>0$$

To find the extreme values of a function \(f(x, y)\) on a curve \(x=x(t), y=y(t),\) we treat \(f\) as a function of the single variable \(t\) and use the Chain Rule to find where \(d f / d t\) is zero. As in any other single-variable case, the extreme values of \(f\) are then found among the values at the a. critical points (points where \(d f / d t\) is zero or fails to exist), and b. endpoints of the parameter domain. Find the absolute maximum and minimum values of the following functions on the given curves. Functions: a. \(f(x, y)=x+y\) c. \(h(x, y)=2 x^{2}+y^{2}\) Curves: i. The semicircle \(x^{2}+y^{2}=4, \quad y \geq 0\) ii. The quarter circle \(x^{2}+y^{2}=4, \quad x \geq 0, \quad y \geq 0\) Use the parametric equations \(x=2 \cos t, y=2 \sin t\)

In Exercises \(25-30,\) find the linearization \(L(x, y)\) of the function at each point. $$ f(x, y)=e^{x} \cos y \text { at } \quad \text { a. }(0,0), \quad \text { b. }(0, \pi / 2) $$

In Exercises \(65-70,\) you will explore functions to identify their local extrema. Use a CAS to perform the following steps: a. Plot the function over the given rectangle. b. Plot some level curves in the rectangle. c. Calculate the function's first partial derivatives and use the CAS equation solver to find the critical points. How do the critical points relate to the level critical plotted in part (b)? Which critical points, if any, appear to give a saddle point? Give reasons for your answer. $$ \begin{array}{ll}{f(x, y)=\left\\{\begin{array}{ll}{x^{5} \ln \left(x^{2}+y^{2}\right),} & {(x, y) \neq(0,0)} \\ {0,} & {(x, y)=(0,0)}\end{array}\right.} \\ {-2 \leq x \leq 2,} & {(x, y)=(0,0)}\end{array} $$

Use a CAS to perform the following steps implementing the method of Lagrange multipliers for finding constrained extrema: a. Form the function \(h=f-\lambda_{1} g_{1}-\lambda_{2} g_{2},\) where \(f\) is the function to optimize subject to the constraints \(g_{1}=0\) and \(g_{2}=0 .\) b. Determine all the first partial derivatives of \(h\) , including the partials with respect to \(\lambda_{1}\) and \(\lambda_{2},\) and set them equal to \(0 .\) c. Solve the system of equations found in part (b) for all the unknowns, including \(\lambda_{1}\) and \(\lambda_{2} .\) d. Evaluate \(f\) at each of the solution points found in part (c) and select the extreme value subject to the constraints asked for in the exercise. Minimize \(f(x, y, z)=x y+y z\) subject to the constraints \(x^{2}+y^{2}-2=0\) and \(x^{2}+z^{2}-2=0\)

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