Function of distance between a point and vector in 3D

In summary, the conversation discusses finding a function f(x) that represents the distance between a point on one line and another line, as well as finding the minimum value of f(x) and its significance. The suggested steps include converting the second line to parametric form, computing the distance between the two lines, and using Maple to simplify the process if needed.
  • #1
Rosengrip
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Homework Statement



Two lines are given p: [tex]\stackrel{\rightarrow}{r}[/tex](t) = (4,7,4) + t(2,2,-8) and q: z = 3, x = 7 -y (second one is given in parametric form).

Questions:
a)
find a function f(x) which has a value in x that equals a distance from a point [tex]\stackrel{\rightarrow}{r}[/tex](x) (which lies on the first line, e.g. p) to line q squared (squared refers to the whole function).

b)
find minimum m of function f(x) and analyze the meaning of [tex]\sqrt{m}[/tex]

Homework Equations


An equation for a distance between a vector and point

d = [PLAIN]http://www.shrani.si/f/z/nX/128JEovx/distance.jpg

e = direction vector of p
r[tex]_{0}[/tex] = position vector of p
r[tex]_{1}[/tex] = vector from point to one of the points defining a line

Equations for converting from vector to parametric form, which are really simple and I won't be writing here.



The Attempt at a Solution



Now I only have basic knowledge about vectors only and I was learning them some time ago. I can guess this assignment is pretty simple but because we haven't done any similar cases at the course, I don't really know where to begin.

Any hint would be greatly appreciated.
 
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  • #2
  1. rewrite the other one to a param. equation (with a variable t') as well
  2. compute the distance D = || point on line 1 - point on line 2 ||
  3. We want to know for which t and t' the distance D is minimal
  4. To make it easy this is the same as looking at how D2 is minimal
  5. now you found your t and t' you can compute (by the param. eqn.) the two points
  6. compute the distance between the two points

Use Maple if this is a lot of work
 
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FAQ: Function of distance between a point and vector in 3D

What is the function of distance between a point and vector in 3D?

The function of distance between a point and vector in 3D is to calculate the shortest distance between a given point and a vector in a three-dimensional space. This can be useful in various applications such as computer graphics, physics, and engineering.

How is the distance between a point and vector calculated in 3D?

The distance between a point and vector in 3D is calculated using the Pythagorean theorem, which states that the square of the hypotenuse (the longest side of a right triangle) is equal to the sum of the squares of the other two sides. In this case, the hypotenuse is the distance between the point and the projection of the point onto the vector.

What is the significance of the distance between a point and vector in 3D?

The distance between a point and vector in 3D is significant because it can be used to determine whether a point lies on a specific vector or not. It can also be used to find the shortest distance between a point and a line, which can be useful in various geometric and engineering problems.

Can the distance between a point and vector in 3D be negative?

No, the distance between a point and vector in 3D cannot be negative. It is always a positive value, as it represents the shortest distance between the point and the vector. However, the vector itself can have a negative direction, which is taken into account while calculating the distance.

How is the distance between a point and vector in 3D used in real-life applications?

The distance between a point and vector in 3D has various real-life applications such as finding the shortest distance between a point and a plane in engineering, calculating the trajectory of a projectile in physics, and determining the location of a point in computer graphics. It is also used in navigation systems to determine the distance between a moving object and a fixed point.

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