# dot product calculator

Cite this content, page or calculator as: Furey, Edward " Dot Product Calculator "; CalculatorSoup, https://www.calculatorsoup.com - Online Calculators The dot product of two vectors is represented using the heavy dot. The formula for the dot product is shown below: $\langle x, y \rangle = \sum_{i=1}^n x_i y_i$ A dot product calculator is a convenient tool for anyone who needs to solve multiplication problems involving vectors. The dot product is used to check whether the two vectors are orthogonal or not. The procedure to use the dot product calculator is as follows: Step 1: Enter the coefficients of the vectors in the respective input field, Step 2: Now click the button “Calculate Dot Product” to get the result, Step 3: Finally, the dot product of the given vectors will be displayed in the output field, In mathematics, the dot product is also known as the scalar product. The dot product (inner product or scalar product) is an operation on two vectors which produces a scalar. 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If a and b are the two vectors, the formula to calculate the dot product of two vectors is given by, Your email address will not be published. Theory. The following formula is used by the calculator above to calculate the dot product between two equal length vectors. The dot product is defined as the scalar quantity, which is obtained from the specific operations on the vector components. Enter the components of each of the two vectors, as real numbers. BYJU’S online dot product calculator tool makes the calculation faster, and it displays the dot product of the vectors in a fraction of seconds. 1 - Enter the components of the two vectors as real numbers in decimal form such as 2, 1.5, ... and press "Calculate the dot Product". Free vector dot product calculator - Find vector dot product step-by-step This website uses cookies to ensure you get the best experience. Additional features of the dot product calculator. BYJU’S online dot product calculator tool makes the calculation faster, and it displays the dot product of the vectors in a fraction of seconds.