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Grade 12 · MCV4U · Calculus & Vectors
The distance from a point to a plane or a line always means the shortest distance, measured along a perpendicular. Projections and cross products from the vectors units turn that into a formula.
Point to plane. Take any point on the plane and draw to the point . The perpendicular distance is the part of that lies along the normal, the scalar projection onto : .
The formula. For and the plane , that projection simplifies to . Substitute the point into the left side of the scalar equation, take the absolute value, and divide by the length of the normal.
Point to a line in 2D. The same idea, one dimension down: for , .
Point to a line in 3D. A 3D line has no single normal, so use the cross product. With on the line and direction , . Why: is the area of the parallelogram on those two vectors, and dividing by the base leaves the height.
Parallel planes. Pick any point on one plane and find its distance to the other. Write both with the same normal first.
The closest point. To find the foot of the perpendicular on a plane, run a line from along and intersect it with the plane. The distance from to that point checks the formula.
A distance is never negative; the absolute value is not optional.
Easy first, test level last. Try each one on paper, then open the solution.
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Test level
Answer: The distance is , and the closest point is
Martian Lab teaches this in the Applications of the Dot & Cross Products lesson of its MCV4U Cartesian Vectors unit. Watch it, then take the Lines and Planes practice tests to see if it stuck.
Watch the Applications of the Dot & Cross Products lesson freeFree Lines and Planes practice test, with solutions
More Lines and Planes topics: Equations of Planes · Intersection of Three Planes · Equations of Lines in 3D · Intersection of Lines and Planes
More MCV4U topics: Evaluating Limits · Chain Rule · Optimization Problems · Related Rates · Curve Sketching Steps · Dot Product and Projections · Cross Product, Area and Torque · Continuity · Derivative from First Principles · Power, Product and Quotient Rules · Velocity and Acceleration · Increasing, Decreasing and Critical Points · Concavity and the Second Derivative Test · Derivatives of e^x and a^x · Derivatives of Sin, Cos and Tan · Adding and Subtracting Vectors · Cartesian Vectors in 2D and 3D · Force and Velocity Vector Problems