Math Problem Statement

Find the minimum distance from the point (2,0) to the cone z2 = x2 +y2

Solution

We are asked to find the minimum distance from the point P=(2,0,0)P = (2, 0, 0) to the cone defined by the equation:

z2=x2+y2z^2 = x^2 + y^2

Step 1: Understanding the Geometry

The equation z2=x2+y2z^2 = x^2 + y^2 describes a cone that opens along the zz-axis. The cone's apex is at the origin (0,0,0)(0, 0, 0), and its surface consists of points where the distance from the zz-axis is equal to the zz-coordinate in absolute value.

Step 2: Distance Formula

The distance from a point P(x1,y1,z1)P(x_1, y_1, z_1) to a point Q(x2,y2,z2)Q(x_2, y_2, z_2) in three-dimensional space is given by the formula:

d=(x2x1)2+(y2y1)2+(z2z1)2d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2 + (z_2 - z_1)^2}

For our case, the point P=(2,0,0)P = (2, 0, 0) and any point on the cone Q(x,y,z)Q(x, y, z) satisfies the equation z2=x2+y2z^2 = x^2 + y^2. So, we need to minimize the distance from (2,0,0)(2, 0, 0) to any point on the cone.

Step 3: Setting up the Optimization Problem

We can set up the distance function DD from the point (2,0,0)(2, 0, 0) to any point on the cone (x,y,z)(x, y, z):

D=(x2)2+y2+z2D = \sqrt{(x - 2)^2 + y^2 + z^2}

Given the equation of the cone z2=x2+y2z^2 = x^2 + y^2, we substitute z2z^2 with x2+y2x^2 + y^2 into the distance formula:

D=(x2)2+y2+(x2+y2)D = \sqrt{(x - 2)^2 + y^2 + (x^2 + y^2)}

Now, simplifying the expression:

D=(x2)2+y2+x2+y2=(x2)2+2y2+x2D = \sqrt{(x - 2)^2 + y^2 + x^2 + y^2} = \sqrt{(x - 2)^2 + 2y^2 + x^2}

Step 4: Minimizing the Distance Function

To minimize DD, it's easiest to minimize D2D^2 (which is the squared distance):

D2=(x2)2+2y2+x2D^2 = (x - 2)^2 + 2y^2 + x^2

Expanding this expression:

D2=(x24x+4)+2y2+x2D^2 = (x^2 - 4x + 4) + 2y^2 + x^2 D2=2x24x+4+2y2D^2 = 2x^2 - 4x + 4 + 2y^2

We now minimize D2D^2 with respect to xx and yy. First, take partial derivatives of D2D^2 with respect to xx and yy, and set them equal to zero.

Partial Derivative with respect to xx:

D2x=4x4=0\frac{\partial D^2}{\partial x} = 4x - 4 = 0 4x4=0    x=14x - 4 = 0 \implies x = 1

Partial Derivative with respect to yy:

D2y=4y=0\frac{\partial D^2}{\partial y} = 4y = 0 y=0y = 0

Step 5: Substituting into the Cone Equation

Now, substitute x=1x = 1 and y=0y = 0 into the cone equation z2=x2+y2z^2 = x^2 + y^2:

z2=12+02=1z^2 = 1^2 + 0^2 = 1 z=±1z = \pm 1

Step 6: Finding the Minimum Distance

Thus, the closest points on the cone to P(2,0,0)P(2, 0, 0) are (1,0,1)(1, 0, 1) and (1,0,1)(1, 0, -1).

Now, we compute the distance from P=(2,0,0)P = (2, 0, 0) to these points.

For Q(1,0,1)Q(1, 0, 1):

D=(12)2+(00)2+(10)2=12+12=2D = \sqrt{(1 - 2)^2 + (0 - 0)^2 + (1 - 0)^2} = \sqrt{1^2 + 1^2} = \sqrt{2}

For Q(1,0,1)Q(1, 0, -1):

D=(12)2+(00)2+(10)2=12+12=2D = \sqrt{(1 - 2)^2 + (0 - 0)^2 + (-1 - 0)^2} = \sqrt{1^2 + 1^2} = \sqrt{2}

Final Answer

Thus, the minimum distance from the point (2,0,0)(2, 0, 0) to the cone z2=x2+y2z^2 = x^2 + y^2 is 2\sqrt{2}.


Would you like any further details or clarifications on this solution?

Here are 5 related questions to explore:

  1. How does the distance from a point to a cone change if the point is off-center along the z-axis?
  2. What is the method for finding the shortest distance from a point to a surface in general?
  3. How can we apply the concept of gradients to find the shortest distance to a geometric surface?
  4. What happens to the minimum distance if the cone's axis is rotated around the z-axis?
  5. How do the equations of a cone change in three-dimensional space if it's not aligned with the z-axis?

Tip: When minimizing the distance function, using symmetry (like the fact that the cone is symmetric about the z-axis) can sometimes make solving the problem much easier.

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Math Problem Analysis

Mathematical Concepts

Analytic Geometry
Optimization
3D Distance Minimization

Formulas

Distance formula: d = √((x2 - x1)^2 + (y2 - y1)^2 + (z2 - z1)^2)
Equation of a cone: z^2 = x^2 + y^2

Theorems

Pythagorean theorem
Optimization via partial derivatives

Suitable Grade Level

Undergraduate (Calculus Level)