This post categorized under Vector and posted on September 14th, 2019.

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The next graphic is starting stop. Loading Watch Queue Find out why Close. Cross Product and Dot Product Visual explanation Physics graphic by Eugene Khutoryansky . Loading Unsubscribe A good explanation of dot product and cross product of vectors starting from geometry This account of dot product and cross product of vectors advises strongly against introducing both at the same time but the demands of the A level syllabus mean Ive had to do that. Dot product and cross product are two types of vector product. The basic difference between dot product and scalar product is that dot product always gives scalar quangraphicy while cross product always vectors quangraphicy.

Defining the Cross Product. The dot product represents the similarity between vectors as a single number For example we can say that North and East are 0% similar since (0 1) cdot (1 0) 0. In Euclidean geometry the dot product of the Cartesian coordinates of two vectors is widely used and often called the inner product (or rarely projection product) of Euclidean graphice even though it is not the only inner product that can be defined on Euclidean graphice see also inner product graphice. The Geometry of the Dot and Cross Products Tevian Dray Department of Mathematics Oregon State University Corvallis OR 97331 tevianmath.oregonstate.edu

1 The Dot and Cross Products Two common operations involving vectors are the dot product and the cross product. Let two vectors and Cross product of two vectors always gives a vector quangraphicy whereas dot product gives scalar quangraphicy. Let us consider two vectors A and B . Taking dot product Cross Product. A vector has magnitude (how long it is) and direction Two vectors can be multiplied using the Cross Product (also see Dot Product) The Cross Product a b of two vectors is another vector that is at right angles to both The Cross Product Motivation Nowitstimetotalkaboutthesecondwayofmultiplying vectors thecrossproduct. Deningthismethod of multiplication is not quite as straightforward and its properties are more complicated.