Skip to main content
Ch. 4 - Applications of the Derivative
Briggs - Calculus: Early Transcendentals 3rd Edition
Briggs3rd EditionCalculus: Early TranscendentalsISBN: 9780136847243Not the one you use?Change textbook
Chapter 4, Problem 4.5.25

Minimum distance Find the point P on the line y = 3x that is closest to the point (50, 0). What is the least distance between P and (50, 0)?

Verified step by step guidance
1
Identify the line equation y = 3x and the point (50, 0) from which we need to find the minimum distance to a point P on the line.
Express the coordinates of point P on the line as (x, 3x) since any point on the line y = 3x can be represented in this form.
Use the distance formula to express the distance D between point P(x, 3x) and the point (50, 0): D = sqrt((x - 50)^2 + (3x - 0)^2).
Simplify the distance formula: D = sqrt((x - 50)^2 + 9x^2). This simplifies to D = sqrt(10x^2 - 100x + 2500).
To find the minimum distance, minimize the expression under the square root, 10x^2 - 100x + 2500, by finding its derivative, setting it to zero, and solving for x. This will give the x-coordinate of point P that minimizes the distance.

Verified video answer for a similar problem:

This video solution was recommended by our tutors as helpful for the problem above.
Video duration:
9m
Was this helpful?

Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Distance Formula

The distance formula calculates the distance between two points in a Cartesian plane. For points (x1, y1) and (x2, y2), the distance d is given by d = √((x2 - x1)² + (y2 - y1)²). This formula is essential for determining how far the point P on the line is from the point (50, 0).
Recommended video:
Guided course
5:04
Converting between Degrees & Radians

Line Equation

The equation of a line describes the relationship between x and y coordinates of points on that line. In this case, the line is given by y = 3x, which indicates that for every unit increase in x, y increases by three units. Understanding this equation helps in identifying the coordinates of point P that lies on the line.
Recommended video:
05:14
Equations of Tangent Lines

Optimization

Optimization in calculus involves finding the maximum or minimum values of a function. In this problem, we need to minimize the distance from point P on the line to the point (50, 0). This typically involves using techniques such as taking derivatives and setting them to zero to find critical points.
Recommended video:
10:13
Intro to Applied Optimization: Maximizing Area