Distance formula in 3 dimensions

In summary, to find the shortest distance from a point on the x-axis to another point (a,b,c), we can use the Pythagorean theorem with the points forming a right triangle. The value of d that minimizes the distance is found by using the formula x = sqrt(y^2+z^2).
  • #1
Rock32
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0
Edit*: problem solved. Thanks for the hint Dick.
 
Last edited:
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  • #2
Try the pythagorian theorem: x = sqrt(y^2 + z^2)

Since you can have any value on the x axis, the shortest distance will always be a straight line.

To see it better, draw out a triangle, where Z is the height, and Y is the lenght, leaving the distance X which will be the hypotenuse.

Draw it out, it'll make it clear.

EDIT: X,Y,Z in your case being points A,B,C
 
  • #3
A point on the x-axis is given by (d,0,0) for some value of d. What value of d will minimize the distance to (a,b,c)?
 

What is the distance formula in 3 dimensions?

The distance formula in 3 dimensions is a mathematical equation used to calculate the distance between two points in a three-dimensional space. It is derived from the Pythagorean theorem and takes into account the x, y, and z coordinates of each point. The formula is:
d = √[(x2 - x1)^2 + (y2 - y1)^2 + (z2 - z1)^2]

How is the distance formula in 3 dimensions different from the 2-dimensional formula?

The distance formula in 3 dimensions is an extension of the 2-dimensional formula. While the 2-dimensional formula only considers the x and y coordinates, the 3-dimensional formula takes into account the additional z coordinate. This allows for a more accurate measurement of distance in a three-dimensional space.

What is the purpose of the distance formula in 3 dimensions in scientific research?

The distance formula in 3 dimensions is used in various fields of science, such as physics, astronomy, and engineering. It is a fundamental tool for calculating distances between objects in a three-dimensional space and is essential for understanding and predicting the behavior of physical systems.

Can the distance formula in 3 dimensions be applied to non-linear distances?

Yes, the distance formula in 3 dimensions can be applied to both linear and non-linear distances. As long as the coordinates of the two points are known, the formula can be used to calculate the distance between them, regardless of the path or shape of the distance.

Are there any limitations to using the distance formula in 3 dimensions?

The distance formula in 3 dimensions assumes that the space is Euclidean, meaning it follows the rules of Euclidean geometry. This may not be the case in all situations, such as in non-Euclidean geometries or curved spaces. In these cases, alternative formulas or methods may be needed to calculate distances accurately.

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