The Vector Dot Product

To calculate the dot product, multiply corresponding components of the two vectors and add the products. The result is a scalar.

Conditions: The vectors must have the same number of components.; The vectors are real coordinate vectors.

Yes, the dot product is symmetric. This means that for any two vectors $\mathbf{a}$ and $\mathbf{b}$, $\mathbf{a} \cdot \mathbf{b} = \mathbf{b} \cdot \mathbf{a}$.

Conditions: The vectors are in a real inner product space.; The operation is the standard dot product.

Divide the dot product of the two vectors by the product of their lengths to obtain $\cos \theta$. Then, take the arccosine of this value to find the angle $\theta$ in the range $[0, \pi]$.

Conditions: Both vectors are nonzero.; The vectors are in a real inner product space (e.g., $\mathbb{R}^n$).

The Euclidean inner product is symmetric, linear in each argument, and positive-definite. Specifically, $\mathbf{a} \cdot \mathbf{a}$ equals the squared length of $\mathbf{a}$, which is positive for every nonzero vector $\mathbf{a}$.

Conditions: The vectors are real coordinate vectors.; The operation is the standard dot product.

Yes, the dot product distributes over vector addition. This means $\mathbf{a} \cdot (\mathbf{b} + \mathbf{c}) = \mathbf{a} \cdot \mathbf{b} + \mathbf{a} \cdot \mathbf{c}$.

Conditions: The vectors are in a real inner product space.; The operation is the standard dot product.

A zero dot product indicates that two vectors are orthogonal (form a right angle) if and only if both vectors are nonzero.

Conditions: Both vectors are nonzero.; The dot product of the two vectors is exactly zero.

The dot product is considered a scalar quantity because it is defined as the sum of the products of corresponding components, which results in a single real number, not a vector.

Conditions: The vectors are real coordinate vectors.; The operation is the standard dot product.

The dot product of a vector $\mathbf{a}$ with itself, $\mathbf{a} \cdot \mathbf{a}$, is equal to the square of its length (norm), $\|\mathbf{a}\|^2$.

Conditions: The vector is a real coordinate vector.; The length is the Euclidean norm.