Dot Product vs Cross Product: Difference and Comparison

Vector algebra is an integral part of Physics and Mathematics. It simplifies calculations and helps analyse a wide variety of spatial concepts.

A vector can be manipulated using two basic operations. These operations are the dot and cross products, with vast differences.

Key Takeaways

  1. Mathematical operation: Dot product calculates the scalar product of two vectors, while the cross product computes the vector product.
  2. Result: Dot product yields a scalar quantity, while cross product produces a vector.
  3. Orthogonality: Dot product is zero when vectors are orthogonal, while cross product results in a vector perpendicular to the original vectors.

Dot Product vs Cross Product

The difference between the dot product and the cross product of two vectors is that the result is a scalar quantity, whereas the development of the cross product is a vector quantity.

Dot product vs Cross product

A dot product of two vectors is also called the scalar product. It is the product of the magnitude of the two vectors and the cosine of the angle that they form with each other.

A cross-product of two vectors is also called the vector product. It is the product of the magnitude of the two vectors and the sine of the angle that they form with each other.


 

Comparison Table

Parameter Of ComparisonDot ProductCross Product
General DefinitionA dot product is the product of the magnitude of the vectors and the cos of the angle between them.A cross product is the product of the magnitude of the vectors and the sine of the angle that they subtend on each other.
Mathematical RelationThe dot product of two vectors A and B is represented as: Α.Β = ΑΒ cos θThe cross product of two vectors A and B is defined as Α × Β = ΑΒ sin θ
ResultantThe resultant of the dot product of the vectors is a scalar quantity.The resultant of the cross product of the vectors is a vector quantity.
Orthogonality of VectorsThe dot product is zero when the vectors are orthogonal ( θ = 90°).The cross product is maximum when the vectors are orthogonal ( θ = 90°).
CommutativityThe dot product of two vectors follows the commutative law: A. B = B. AThe cross product of two vectors does not follow the commutative law: A × B ≠ B × A
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What is Dot Product?

A dot product or scalar product of two vectors is the product of their magnitudes and the cosine of the angle subtended by one vector over the other.

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It is represented as :

A·Β = |A| |B| cos θ

The result is a scalar quantity, so it has only magnitude but no direction.

We take the cosine of the angle to calculate the dot product so that the vectors align in the same direction. This way, we obtain the projection of one vector over the other.

For vectors with n dimensions, the dot product is given by :

A·Β = Σ α¡b¡

The dot product has the following properties :

  • It is commutative.

Α· b = b·α

  • It follows the distributive law.

Α· ( b+c) = α·b + α·c

  • It follows the scalar multiplication law.

( λα) · ( μb) = λμ ( α· b)

 

What is Cross Product?

A cross product or the vector product of two vectors is the product of their magnitudes and the sine of the angle subtended by one over the other.

It is represented as :

A×Β = |A| |B| sin θ

The result is another vector quantity. The resultant vector is perpendicular to both vectors. Its direction can be determined using the right–hand rule.

The following rules are to be kept in mind while calculating the cross-product:

  • I × j = k
  • J × k = i
  • K × I = j

I, j, and k are the unit vectors in the x, y, and z-direction, respectively.

The cross-product has the following properties :

  • It is anti-commutative.

a× b =  – (b × α)

  • It follows the distributive law.

a × ( b+c) = α × b + α × c

  • It follows the scalar multiplication law.

( λα) × ( b) = λ ( α × b)



References
  1. https://www.osapublishing.org/abstract.cfm?uri=ol-37-5-972
  2. https://www.maa.org/sites/default/files/pdf/upload_library/4/vol6/Dray/Dray.pdf
dot 1
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18 Comments

  1. The article’s comparison table is incredibly informative, making it easier to grasp the differences between the two vector operations and their applications.

    • I completely agree with you. This comparison table sums up the key differences concisely and effectively, which is essential for students’ learning.

  2. The differences between dot and cross products are made crystal clear in this article, providing a substantial learning experience for anyone interested in vector algebra.

    • Absolutely! The article serves as a knowledge catalyst, allowing individuals to grasp the intricacies of vector algebra seamlessly.

  3. The article’s comprehensive coverage of the dot and cross products really sheds light on their distinct natures and uses, providing readers with a deeper understanding of both concepts.

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  4. The explanations offered for the dot and cross products are quite clear and insightful. It’s enlightening to understand how these operations work and their real-world significance.

  5. The use of vectors in mathematical and physical studies has always been a topic of interest. This article provides a well-structured comparison between dot and cross products, making it easier to comprehend.

    • Absolutely, the detailed explanation of dot and cross products here is fantastic, and it helps to acquire a deeper understanding of vector algebra.

  6. The article effectively brings out the distinguishing aspects of the dot and cross products, laying a solid foundation for those delving into the world of vectors.

    • Absolutely, this article provides a robust understanding of these vector operations, and the clarity of the explanation is commendable.

  7. Vector algebra provides an excellent way to solve mathematical and physical problems. These dot and cross products are fundamental for students to understand and apply them.

    • I agree with you. The precision and clarity of vector algebra offer great insights. I think learning about vectors should be a priority in Mathematics and Physics.

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  9. The clarity and coherence of the explanations in this article make it a valuable resource for students and professionals alike. Understanding these operations can lead to more proficient problem-solving skills.

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    • I couldn’t agree more. The value of understanding these properties can’t be overstated, and I believe this article achieves that goal effectively.

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