Then, if A nd B are scalars, it is not really surprising. If A and B are vectors then they have the same direction.
Suppose the condition stated in this problem holds for the two vectors a and b. If the sum a+b is perpendicular to the difference a-b then the dot product of these two vectors is zero: (a + b) · (a - b) = 0 Use the distributive property of the dot product to expand the left side of this equation. We get: a · a - a · b + b · a - b · b But the dot product of a vector with itself gives the magnitude squared: a · a = a2 x + a2 y + a2 z = a2 (likewise b · b = b2) and the dot product is commutative: a · b = b · a. Using these facts, we then have a2 - a · b + a · b + b2 = 0 , which gives: a2 - b2 = 0 =) a2 = b2 Since the magnitude of a vector must be a positive number, this implies a = b and so vectors a and b have the same magnitude.
It is: ab+10
Your question makes no sense.... What you meant to say is:Is the sum of the square of magnitude of the cross product and the square of dot product of two vectors equal to the product of the square of their magnitudes?i.e:|A x B|2 +(A .B)2 = |A|2|B|2The answer is YES. It is called Lagrange's identity and is a special case of the Binet-Cauchy identity.(Ax B) .(Cx D)+(A.D)(B.C)=(A.C)(B.D)Where A= Cand B= D.
(a x b)^b =ab x b^2 =ab^3
a+b(a+B)=ab
Scalar product of two vectors is a scalar as it involves only the magnitude of the two vectors multiplied by the cosine of the angle between the vectors.
a + b = ab a = ab - b = b(a - 1) b = a / (a-1) Any pair of numbers that satisfy that equation, e.g. a = 3, b = 1½ . . . because 3 + 1½ = 4½ and 3 x 1½ = 4½ another example: a = 101, b = 1.01 because 101 + 1.01 = 102.01, and 101 x 1.01 = 102.01
x=ab
You need to take the magnitude of the cross-product of two position vectors. For example, if you had points A, B, C, and D, you could take the cross product of AB and BC, and then take the magnitude of the resultant vector.
AB
The resultant (sum) of nonconcurrent forces is given by the Law of Cosines, which is the product of the vector sums and their conjugate: C^2 = (A + B)(A + B)*=(AA* + BB* + AB* + A*B)= (AA* + BB* + 2ABcos(AB)) The angle of C is given by sin (C) =A/C sin(AB) angle(C ) is smaller than the angle between A and B, angle(AB).
Negative times negative equals positve, so -a*-b=ab (positive ab)
ab=1a+1b a is equal to either 0 or two, and b is equal to a
Scalar product = (magnitude of 'A') times (magnitude of 'B') times (cosine of the angle between 'A' and 'B')
b*ab = ab2 Suppose b*ab = ab + b2. Assume a and b are non-zero integers. Then ab2 = ab + b2 b = 1 + b/a would have to be true for all b. Counter-example: b = 2; a = 3 b(ab) = 2(3)(2) = 12 = ab2 = (4)(3) ab + b2 = (2)(3) + (2) = 10 but 10 does not = 12. Contradiction. So it cannot be the case that b = 1 + b/a is true for all b and, therefore, b*ab does not = ab + b2
Reciprocals. Example (a/b)(b/a)=(ab/ab)=1
The scalar product of two vectors, A and B, is a number, which is a * b * cos(alpha), where a = |A|; b = |B|; and alpha = the angle between A and B. The vector product of two vectors, A and B, is a vector, which is a * b * sin(alpha) *C, where C is unit vector orthogonal to both A and B and follows the right-hand rule (see the related link). ============================ The scalar AND vector product are the result of the multiplication of two vectors: AB = -A.B + AxB = -|AB|cos(AB) + |AB|sin(AB)UC where UC is the unit vector perpendicular to both A and B.