Inner Product Formula:
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The inner product (or dot product) is a fundamental operation in linear algebra that takes two equal-length vectors and returns a single scalar value. It measures the similarity between two vectors and is used in various mathematical and physical applications.
The calculator uses the standard inner product formula:
Where:
Explanation: The calculator multiplies corresponding components of the vectors and sums all these products to get the final scalar result.
Details: The inner product is crucial for calculating angles between vectors, determining orthogonality, performing projections, and is fundamental in many areas including physics, computer graphics, and machine learning.
Tips: Enter vectors as comma-separated values (e.g., "1,2,3"). Both vectors must have the same number of components. The calculator will automatically parse the input and compute the result.
Q1: What's the difference between inner product and dot product?
A: In many contexts they're the same, but technically inner product is a more general concept while dot product specifically refers to the standard Euclidean space version.
Q2: What does the inner product tell us about vectors?
A: It measures their similarity - when zero, vectors are orthogonal; when positive, they point in similar directions; when negative, in opposite directions.
Q3: Can I use spaces instead of commas?
A: This calculator requires comma separation for clarity, but some implementations might accept spaces.
Q4: What's the geometric interpretation?
A: The inner product equals the product of vector magnitudes and the cosine of the angle between them.
Q5: Can I calculate inner products of complex vectors?
A: This calculator handles real vectors only. Complex inner products require conjugation of one vector's components.