Answer:

Step-by-step explanation:
The Cartesian product between two discrete sets, is given by all possible ordered pairs originated with the combinations of the elements of the two sets, thus the requested Cartesian product is:


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We need the second page in order to know the answer.
- It is true that the set of all u in V such that T(u)=0 is the kernel of a linear transformation, T, from a vector space V to a vector space W.
- As a result, the null space of A serves as the kernel of the matrix transformation T(x)=Ax. Vector space is the domain of a linear transformation.
What makes up a linear transformation's kernel?
The portion of the domain that is changed into the zero vector is known as the kernel (or null space) of a linear transformation.
Is kernel equivalent to empty space?
The linear subspace of the map's domain that is mapped to the zero vector is referred to in mathematics as the kernel of a linear map and is also known as the null space or null space.
Does kernel equate to basis?
- A vector space serves as the transformation's kernel (indeed, a subspace of the vector space on which the transformation acts).
- Since a basis cannot contain the zero vector, a basis for the kernel is never a vector space.
Learn more about null space
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Answer:
C 1 8/12 + 2 3/12 + 2/12 =
Step-by-step explanation:
Constituents of the fruit salad prepared by Emily:
cups of grapes
cups of strawberries
cups of blueberries
This can be expressed as follows:
![\[1\frac{2}{3}+2\frac{1}{4}+\frac{1}{6}\]](https://tex.z-dn.net/?f=%5C%5B1%5Cfrac%7B2%7D%7B3%7D%2B2%5Cfrac%7B1%7D%7B4%7D%2B%5Cfrac%7B1%7D%7B6%7D%5C%5D)
This can be equivalently expressed as :
![\[1\frac{8}{12}+2\frac{3}{12}+\frac{2}{12}\]](https://tex.z-dn.net/?f=%5C%5B1%5Cfrac%7B8%7D%7B12%7D%2B2%5Cfrac%7B3%7D%7B12%7D%2B%5Cfrac%7B2%7D%7B12%7D%5C%5D)
Among the given options, this corresponds to option C.
Well all you have to do is add the number Teresa has by itself or multiply it be 2. Because Teresa needs twice as many as Samuel so all you have to do is multiply it by 2.