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Find the domain of the following functions. If possible, give a description of the domains (for example, all points outside a sphere of radius 1 centered at the origin). $$p(x, y, z)=\sqrt{x^{2}+y^{2}+z^{2}-9}$$

Short Answer

Expert verified
Answer: The domain of the function $$p(x, y, z) = \sqrt{x^{2}+y^{2}+z^{2}-9}$$ consists of all points (x, y, z) on or outside a sphere of radius 3 centered at the origin, described by the inequality $$x^{2}+y^{2}+z^{2} \ge 9$$.

Step by step solution

01

Set up the inequality

Since the function p(x, y, z) is defined only when the expression inside the square root is non-negative, we must solve the inequality: $$x^{2}+y^{2}+z^{2}-9 \ge 0$$
02

Solve the inequality

Add 9 to both sides of the inequality to isolate the sum of squares: $$x^{2}+y^{2}+z^{2} \ge 9$$
03

Interpret the inequality geometrically

The left side of the inequality represents the sum of the squares of the Euclidean distances from the origin (0, 0, 0) to the point (x, y, z). The right side is a constant (9) which is the square of the radius (3) of a sphere centered at the origin. The inequality tells us that the distance from the origin to the point (x, y, z) must be greater than or equal to 3 units, which describes all points on or outside a sphere of radius 3 centered at the origin.
04

Write the domain of the function

The domain of the function $$p(x, y, z) = \sqrt{x^{2}+y^{2}+z^{2}-9}$$ consists of all points (x, y, z) on or outside a sphere of radius 3 centered at the origin, in the form of the inequality: $$x^{2}+y^{2}+z^{2} \ge 9$$

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Key Concepts

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

Domain of a Function
Understanding the domain of a function, especially a multivariable one like \( p(x, y, z) = \sqrt{x^{2}+y^{2}+z^{2}-9} \), is crucial in mathematics. The domain includes all the possible input values that won't cause the function to output an error or undefined value. For square root functions, the domain is determined by the condition that the radicand (the expression inside the square root) must be non-negative. This is because the square root of a negative number is not a real number. Consequently, when identifying the domain of \( p(x, y, z) \), one should solve an inequality to ensure the expression under the square root is greater than or equal to zero.
Inequality Solving
Inequality solving is a foundational skill required to find the domain of functions involving square roots. For the given function \( p(x, y, z) \), the inequality \( x^{2}+y^{2}+z^{2}-9 \ge 0 \) needs to be solved. The solution process often starts with isolating the variable or sum of variables, as seen in the step-by-step solution where the sum of squares is isolated on one side. By adding 9 to both sides, we determine a condition that the variables must satisfy. The resulting inequality, \( x^{2}+y^{2}+z^{2} \ge 9 \), indicates that any permissible values for \(x\), \(y\), and \(z\) must ensure that their sum of squares is greater than or equal to 9. Standard algebraic techniques, such as adding the same value to both sides and factoring, are key tools to solve these inequalities.
Euclidean Distance
The Euclidean distance is the straight-line distance between two points in Euclidean space. In our exercise, the Euclidean distance is between the origin (0, 0, 0) and any point \( (x, y, z) \) in three-dimensional space. Mathematically, it's represented by the expression \( \sqrt{x^{2}+y^{2}+z^{2}} \), which matches the radicand of our function \( p(x, y, z) \). The square of the Euclidean distance, hence, is \( x^{2}+y^{2}+z^{2} \), which must be greater than or equal to the square of the sphere's radius as per the inequality we are considering. When working with Euclidean distances, such as finding the domain of a function that includes them, we directly apply the concept of distance in our calculations. Here, it serves to define a solid geometric boundary—the sphere.
Geometric Interpretation
A geometric interpretation of an inequality can provide a clearer, more visual understanding of a function's domain. In our example, \( x^{2}+y^{2}+z^{2} \ge 9 \) describes a spherical region in three-dimensional space. Specifically, when visualized, it corresponds to all the points that lie on the surface of or outside a sphere with a radius of 3 units centered at the origin. This visual representation helps to comprehend the 'shape' of a domain, particularly for multivariable functions like \( p(x, y, z) \), and is a valuable tool for studies in fields such as calculus and analytic geometry. It effectively translates the algebraic condition of our function's domain into a tangible and more accessible spatial scenario.

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Most popular questions from this chapter

Find the points at which the following surfaces have horizontal tangent planes. $$x^{2}+2 y^{2}+z^{2}-2 x-2 z-2=0$$

Check assumptions Consider the function \(f(x, y)=x y+x+y+100\) subject to the constraint \(x y=4\) a. Use the method of Lagrange multipliers to write a system of three equations with three variables \(x, y,\) and \(\lambda\) b. Solve the system in part (a) to verify that \((x, y)=(-2,-2)\) and \((x, y)=(2,2)\) are solutions. c. Let the curve \(C_{1}\) be the branch of the constraint curve corresponding to \(x>0 .\) Calculate \(f(2,2)\) and determine whether this value is an absolute maximum or minimum value of \(f\) over \(C_{1} \cdot(\text {Hint}: \text { Let } h_{1}(x), \text { for } x>0, \text { equal the values of } f\) over the \right. curve \(C_{1}\) and determine whether \(h_{1}\) attains an absolute maximum or minimum value at \(x=2 .\) ) d. Let the curve \(C_{2}\) be the branch of the constraint curve corresponding to \(x<0 .\) Calculate \(f(-2,-2)\) and determine whether this value is an absolute maximum or minimum value of \(f\) over \(C_{2} .\) (Hint: Let \(h_{2}(x),\) for \(x<0,\) equal the values of \(f\) over the curve \(C_{2}\) and determine whether \(h_{2}\) attains an absolute maximum or minimum value at \(x=-2 .\) ) e. Show that the method of Lagrange multipliers fails to find the absolute maximum and minimum values of \(f\) over the constraint curve \(x y=4 .\) Reconcile your explanation with the method of Lagrange multipliers.

Find an equation for the family of level surfaces corresponding to \(f .\) Describe the level surfaces. $$f(x, y, z)=\frac{1}{x^{2}+y^{2}+z^{2}}$$

Distance from a plane to an ellipsoid (Adapted from 1938 Putnam Exam) Consider the ellipsoid \(\frac{x^{2}}{a^{2}}+\frac{y^{2}}{b^{2}}+\frac{z^{2}}{c^{2}}=1\) and the plane \(P\) given by \(A x+B y+C z+1=0 .\) Let \(h=\left(A^{2}+B^{2}+C^{2}\right)^{-1 / 2}\) and \(m=\left(a^{2} A^{2}+b^{2} B^{2}+c^{2} C^{2}\right)^{1 / 2}\) a. Find the equation of the plane tangent to the ellipsoid at the point \((p, q, r)\) b. Find the two points on the ellipsoid at which the tangent plane is parallel to \(P\), and find equations of the tangent planes. c. Show that the distance between the origin and the plane \(P\) is \(h\) d. Show that the distance between the origin and the tangent planes is \(h m\) e. Find a condition that guarantees the plane \(P\) does not intersect the ellipsoid.

Problems with two constraints Given a differentiable function \(w=f(x, y, z),\) the goal is to find its absolute maximum and minimum values (assuming they exist) subject to the constraints \(g(x, y, z)=0\) and \(h(x, y, z)=0,\) where \(g\) and \(h\) are also differentiable. a. Imagine a level surface of the function \(f\) and the constraint surfaces \(g(x, y, z)=0\) and \(h(x, y, z)=0 .\) Note that \(g\) and \(h\) intersect (in general) in a curve \(C\) on which maximum and minimum values of \(f\) must be found. Explain why \(\nabla g\) and \(\nabla h\) are orthogonal to their respective surfaces. b. Explain why \(\nabla f\) lies in the plane formed by \(\nabla g\) and \(\nabla h\) at a point of \(C\) where \(f\) has a maximum or minimum value. c. Explain why part (b) implies that \(\nabla f=\lambda \nabla g+\mu \nabla h\) at a point of \(C\) where \(f\) has a maximum or minimum value, where \(\lambda\) and \(\mu\) (the Lagrange multipliers) are real numbers. d. Conclude from part (c) that the equations that must be solved for maximum or minimum values of \(f\) subject to two constraints are \(\nabla f=\lambda \nabla g+\mu \nabla h, g(x, y, z)=0,\) and \(h(x, y, z)=0\)

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