Multiply two vectors Vector AC (a, b), Vector BC (c, d), AC·BC=?

Multiply two vectors Vector AC (a, b), Vector BC (c, d), AC·BC=?

AC·BC=ac+bd
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What is the multiplication of two vectors /PF1/·/PF2/ What is it? There's a hyperbola you' re learning now. What's this multiplication? Or not multiplication! What does it mean?

/PF1/·/PF2/ is not the multiplication of two vectors, is the multiplication of two vectors, the result is a number.
The module of a vector is the length of the vector.

On the Multiplication of Two Vectors See two formulas.. One is ABcosc CA and CB are opposite sides b and a of ∠B and ∠A of triangle, and angle C is the included angle of vector CA and CB, which is defined by the product of the number product of vector CA, CB = length of CA (i.e. b) and projection of CB vector in CA direction (i.e. a.CosC). The other is ABsinC. Definition: The vector product (outer product, cross product) of two vectors a and b is a vector, denoted as a×b (here is not a multiplication sign, but a representation, which is different from "·", and can also be denoted as "∧"). If a and b are not collinear, then the module of a×b is: a×b =|a b sin〈a, b〉; the direction of a×b is perpendicular to a and b, and a, b and a×b form the right-hand system in this order. If a and b are collinear, then a×b=0. What's the difference between the two...

The first is the inner product. Multiplication is a number, not a vector.
The second multiplication is also a vector.

What is the formula for multiplying two vectors?

A vector (A, B) B vector (C, D) A vector * B vector = AC+BD

What is the vector multiplied by the vector

The direct multiplication should be the multiplication of the matrix. The row vector should be multiplied by the column vector. The inner product should be a real number. The column vector should be multiplied by the row vector to form a matrix. The element is the element of the original vector.
If you multiply by a point, you get the inner product is a real number
If the difference is multiplied, the outer product is a vector perpendicular to the plane of the original vector (right-hand rule)

The direct multiplication should be the multiplication of the matrix. The row vector should be multiplied by the column vector. The inner product should be a real number. The column vector should be multiplied by the row vector to form a matrix. The element is the element of the original vector.
If you multiply by a point, you get that the inner product is a real number
If the difference is multiplied, the outer product is a vector perpendicular to the plane of the original vector (right-hand rule)

The direct multiplication should be the multiplication of the matrix. The row vector should be multiplied by the column vector. The inner product should be a real number. The column vector should be multiplied by the row vector to form a matrix. The element is the element of the original vector.
If you multiply by a point, you get that the inner product is a real number.
If the difference is multiplied, the outer product is a vector perpendicular to the plane of the original vector (right-hand rule)

ON THE GEOMETRIC SIGNIFICANCE OF Vectors Why does the geometric meaning of the multiplication of two vectors mean that the projection of a vector on the other vector is multiplied by the other vector

This is a very basic and simple question, and what LZ says is multiplicative:
Pointwise multiplication, also called the inner product and the quantity product of a vector. As the name implies, the result obtained is a number. Vector a. Vector b=|a||b|cos. In physics, given the force and displacement to work, is actually to find the inner product of vector F and vector s, that is, to use pointwise multiplication.
Dot multiplication is defined as vector a·vector b=|a||b|cos
Then it is obvious that the projection of a vector on the other vector is multiplied by the other vector.
In addition to cross multiplication, interested can refer to relevant materials.