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Last updated on August 5th, 2025

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Euclidean Distance Formula

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In mathematics, the Euclidean distance formula is used to calculate the straight-line distance between two points in Euclidean space. It is derived from the Pythagorean theorem and is applicable in various dimensions. In this topic, we will learn the formula for calculating Euclidean distance.

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Euclidean Distance Formula

The Euclidean distance is a measure of the true straight line distance between two points in Euclidean space. Let's learn the formula to calculate the Euclidean distance.

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Euclidean Distance Formula in Two Dimensions

The Euclidean distance between two points ((x1, y1)) and ((x2, y2)) in a two-dimensional plane is calculated using the formula: [ {Distance} = {(x2 - x1)2 + (y2 - y1)2} ]

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Euclidean Distance Formula in Three Dimensions

In three-dimensional space, the Euclidean distance between points ((x1, y1, z1)) and ((x2, y2, z2)) is calculated as: [ {Distance} = {(x2 - x1)2 + (y2 - y1)2+ (z2 - z1)2}]

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Importance of the Euclidean Distance Formula

The Euclidean distance formula is crucial in various fields such as physics, computer science, and machine learning. 

 

  • It is used to calculate the actual distance between two points in geometric space. 
     
  • In algorithms, it helps in clustering and classification tasks. 
     
  • It is fundamental in determining proximity in spatial data analysis.
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Tips and Tricks to Memorize the Euclidean Distance Formula

The Euclidean distance formula might seem complex at first, but it can be easily remembered with practice. 

 

  • Visualize the formula as an extension of the Pythagorean theorem in higher dimensions. 
     
  • Practice by calculating distances in real-life scenarios, like finding the distance between two locations on a map. 
     
  • Use flashcards to memorize the formula and practice solving simple problems to reinforce understanding.
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Real-Life Applications of the Euclidean Distance Formula

The Euclidean distance formula is widely used in various real-world applications: 

 

  • In navigation systems to calculate the shortest path between two points. 
     
  • In computer graphics to determine the distance between objects for rendering. 
     
  • In machine learning algorithms, such as k-nearest neighbors, for measuring similarity.
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Common Mistakes and How to Avoid Them While Using the Euclidean Distance Formula

There are common errors that people make while applying the Euclidean distance formula. Here are some mistakes and ways to avoid them.

Mistake 1

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Mixing up coordinates

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One common mistake is mixing up the coordinates of the points.

 

Always ensure the coordinates are correctly matched as ((x1, y1)) and ((x2, y2)) when applying the formula.

Mistake 2

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Forgetting to square the differences

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Sometimes, individuals forget to square the differences between coordinates, which leads to incorrect results.

 

Always remember to square each difference before summing them up.

Mistake 3

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Neglecting the square root

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Another mistake is forgetting to take the square root at the end of the calculation.

 

Ensure that you complete the formula by applying the square root to the sum of squared differences.

Mistake 4

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Applying the formula in higher dimensions incorrectly

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When using the formula in three or more dimensions, ensure that you include all relevant components (e.g., (z) in three dimensions) to avoid errors.

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Examples of Problems Using the Euclidean Distance Formula

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Problem 1

Find the Euclidean distance between points (3, 4) and (7, 1).

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The Euclidean distance is 5.

Explanation

Using the formula: {(7 - 3)2 + (1 - 4)2}

{(4)2 + (-3)2}

= {16 + 9}

= {25}

= 5 

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Problem 2

Calculate the distance between (2, -1, 3) and (5, 2, 6) in three-dimensional space.

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The Euclidean distance is 5.

Explanation

Using the formula:{(5 - 2)2 + (2 -(-1)2+ (6 - 3)2 }

{(3)2 + (3)2+ (3)2}

= {9 + 9+ 9}

= {27}

= 5.2 { (approximately)}

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FAQs on Euclidean Distance Formula

1.What is the Euclidean distance formula in two dimensions?

The formula to calculate Euclidean distance in two dimensions is: \[ \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2} \]

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2.How do you find the Euclidean distance in three-dimensional space?

The formula to find the Euclidean distance in three dimensions is: \[ \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2 + (z_2 - z_1)^2} \]

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3.What are some real-world applications of the Euclidean distance formula?

The Euclidean distance formula is used in navigation for pathfinding, in computer graphics for rendering, and in machine learning algorithms for measuring similarity between data points.

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Glossary for Euclidean Distance Formula

  • Euclidean Distance: The straight-line distance between two points in Euclidean space.

 

  • Pythagorean Theorem: A fundamental relation in geometry among the three sides of a right triangle.

 

  • Coordinates: A set of values that show an exact position.

 

  • Square Root: A value that, when multiplied by itself, gives the original number.

 

  • Three-dimensional Space: A geometric setting where three values are required to determine the position of an element.
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Jaskaran Singh Saluja

About the Author

Jaskaran Singh Saluja is a math wizard with nearly three years of experience as a math teacher. His expertise is in algebra, so he can make algebra classes interesting by turning tricky equations into simple puzzles.

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Fun Fact

: He loves to play the quiz with kids through algebra to make kids love it.

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