Cross-Product of two vectors
Magnitude of a Vector
Unit Vector
Projection on Vectors
Angle between two vectors
Vector triple product
Scalar triple product
The dot product emerges as a powerful chord in the symphony of vectors, uniting magnitude and direction. Join us on this journey as we demystify the dot product, exploring its definition, practical applications, and the simple steps to harmonize vectors in mathematics and beyond.
The dot product, also known as the scalar product, is an operation that combines two vectors to produce a scalar. It quantifies the degree of alignment or opposition between vectors.
The formula for calculating the of two vectors is given by:
represents the of the vectors a and b respectively.
represents the between .
Calculate the magnitude or length of .
Calculate the angle between given vectors.
Apply the above-given formula to find the magnitude of the dot product.
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This calculator will help you find the two vectors' dot product.
In the given input boxes, you have to put the value of the .
After clicking on the Calculate button, a step-by-step solution will be displayed on the screen.
You can access, download, and share the solution.
Given = 2i + 1j + 3k, = 4i + 2j + 1k find the value of and its magnitude.
(2i + 1j + 3k).(4i + 2j + 1k) = (2)(4) + (1)(2) + (3)(1) = 13
Given = 3i - 1j + 2k, = 2i + 4j - 1k find the value of and its magnitude.
(2i + 4j - 1k).(3i - 1j + 2k) = (2)(3) + (4)(-1) + (-1)(2) = 0
Yes, the dot-product can be negative if vectors have a significant component-wise difference.
A dot-product of zero indicates that the vectors are orthogonal (perpendicular) to each other.
No, the dot-product is not commutative; changing the order of vectors affects the result.
Yes, the dot product extends to complex vectors in complex vector spaces.
No, the vectors must have the same dimension for a valid dot product.
In physics, the dot-product finds applications in calculating work done by a force (F) along a displacement vector (d). The dot-product F⋅d yields the scalar work done.
As we conclude our exploration of the dot product, we recognize its role as the maestro orchestrating vector interactions. Embrace its simplicity and significance in quantifying alignment, and witness how this concept resonates across fields from physics to computer graphics. Though rooted in basic mathematical operations, the dot product stands as a fundamental tool, providing insights into vector relationships in the diverse landscapes of mathematics and real-world applications.
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