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Algebra Dot Product Calculator

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How to Calculate Dot Product Step by Step

What is Dot Product Calculator?

The Dot Product Calculator instantly computes the dot (scalar) product of two vectors you enter. It helps you find how much two vectors point in the same direction, giving a single number as the result.


By inputting the components of each vector, this tool saves time and reduces errors from manual calculation. It's ideal for both 2D and 3D vectors commonly seen in algebra, physics, and engineering.


Formula Behind Dot Product Calculator

The calculator uses the algebraic formula: Dot Product = a1 × b1 + a2 × b2 + ... + an × bn, where each a and b are matching vector components. For example, for vectors (2,3,4) and (5,6,7): (2×5) + (3×6) + (4×7) = 10 + 18 + 28 = 56.


Dot Product Example Table

Vector AVector BDot Product
(1, 0, 0)(0, 1, 0)0
(1, 2, 3)(4, 5, 6)1×4 + 2×5 + 3×6 = 4+10+18 = 32
(3, 2, -5)(2, -1, 4)3×2+2×-1+(-5)×4=6-2-20=-16
(2, 3)(5, 7)2×5+3×7=10+21=31

Steps to Use Dot Product Calculator

  • Enter the components of the first vector in the top field (comma separated).
  • Enter components of the second vector in the next field.
  • Click "Calculate" to see the dot product and a step-by-step explanation.

Why Use Vedantu’s Dot Product Calculator?

This digital tool instantly computes accurate dot products for any two same-length vectors, all on your mobile or desktop. It eliminates manual mistakes and provides live step-by-step calculations.


Thanks to its intuitive design, you save time and boost confidence in maths problem solving. Students prepping for class tests, JEE, and science Olympiads benefit from reliable, concept-driven answers.


Applications of Dot Product Calculator

The dot product is essential in physics to calculate work, analyze vector projections, or measure the angle between two directions. Students and professionals use it in engineering, computer graphics, and robotics alike.


You can even check if vectors are orthogonal (dot product = 0), or use it to measure similarity in data science. It also helps clarify geometry concepts, as you see in vector algebra and 3D modelling challenges.


Explore additional maths tools such as the Cross Product Calculator, HCF Calculator, and Percentage Calculator to strengthen your concepts further.


Dive deeper into vector topics or revisit basics in Algebra at Vedantu or discover other tools like the Equation Solver for all-round maths mastery.


FAQs on Algebra Dot Product Calculator

1. What is the dot product in algebra?

The dot product, also known as the scalar product or inner product, is a mathematical operation that takes two vectors of equal length and returns a single number (a scalar). It represents the projection of one vector onto another, indicating how much they point in the same direction. In simpler terms, it quantifies the alignment between two vectors.

2. How do you calculate the dot product of two vectors?

To calculate the dot product, multiply the corresponding components of the two vectors and then sum the results. For example, if vector A = (a₁, a₂, a₃) and vector B = (b₁, b₂, b₃), the dot product A·B = a₁b₁ + a₂b₂ + a₃b₃. This applies to vectors of any dimension; you simply extend the summation to include all corresponding components.

3. What is the formula for the dot product?

The algebraic formula for the dot product of two vectors A and B is: A·B = Σ (aᵢ * bᵢ), where the summation (Σ) is over all components i. There's also a geometric interpretation: A·B = ||A|| ||B|| cos θ, where ||A|| and ||B|| are the magnitudes of the vectors, and θ is the angle between them.

4. How to calculate the dot product step by step?

The step-by-step calculation involves these steps:
1. **Identify the components:** Write down the components of each vector.
2. **Multiply corresponding components:** Multiply each component of the first vector by the corresponding component of the second vector.
3. **Sum the products:** Add up all the products from step 2. The result is the dot product.

5. What is the dot product of i and j?

Assuming i and j represent the standard basis vectors in a Cartesian coordinate system (i = (1, 0, 0) and j = (0, 1, 0)), their dot product is 0. This is because the vectors are orthogonal (perpendicular to each other).

6. What is the dot product of i and k?

Similar to the dot product of i and j, the dot product of i (1, 0, 0) and k (0, 0, 1) is 0. These basis vectors are mutually orthogonal.

7. What does the dot product tell us about vectors?

The dot product provides information about the relative orientation of two vectors. A positive dot product indicates that the vectors point in a largely similar direction; a negative dot product indicates they point in largely opposite directions; and a dot product of zero implies they are orthogonal (perpendicular).

8. What is the difference between the dot product and the cross product?

The dot product results in a scalar value, while the cross product results in a vector. The dot product measures the alignment between vectors, while the cross product gives a vector perpendicular to both input vectors. The dot product is defined for vectors of any dimension, whereas the cross product is typically defined only for three-dimensional vectors.

9. How is the dot product used in physics?

The dot product has many applications in physics. A key example is calculating work done by a force: work = F · d, where F is the force vector and d is the displacement vector. It's also used in calculating power and other physical quantities involving the projection of one vector onto another.

10. What are some real-world applications of the dot product?

Beyond physics, the dot product finds use in computer graphics (lighting calculations), machine learning (measuring similarity between vectors), and various other fields requiring vector analysis. It is a fundamental tool in linear algebra and has broad applicability.

11. Can you provide examples of dot product calculations?

Consider vectors A = (2, 3) and B = (4, 1). Their dot product is (2 * 4) + (3 * 1) = 11. For vectors C = (1, 2, 3) and D = (4, 0, -1), the dot product is (1 * 4) + (2 * 0) + (3 * -1) = 1.

12. What are some properties of the dot product?

The dot product is commutative (A · B = B · A), distributive (A · (B + C) = A · B + A · C), and scalar multiplication can be factored out (k(A · B) = (kA) · B = A · (kB), where k is a scalar). These properties simplify many calculations.