The axis of symmetry in a parabola is a line that's vertical that divides into 2 congruent halves.
Stocks have a higher rate of return than either U.S. treasury bills or bonds.
C) Small company stocks and large company stocks
Note: Small company stocks generally have a higher rate of return than large company stocks. Small company stocks are a riskier investment because they are more volatile. Stock investments in general are riskier investments than treasury bills or bonds. In general, the possible rate of return increases as the risk of the investment increases.
Just divide both sides by -4. Since you are dividing with a negative number, you will also have to flip the greater than sign.
p > -1/6
Mary should charge $8.0 per ounce.
From the question the herbal tea is a blend of 2 kinds of mint:
75% spearmint- $2.25
25% peppermint-$ 2.75.
The cost of producing one ounce is:
75% spearmint- $2.25 + 25% peppermint-$ 2.75. =$5
The cost of the tea if it is to be sold 1.6 times will be calculated thus;
$5×1.6= $8.0
To get the new cost of the mint tea blend, the old cost is thus, multiplied by 1.6. This gives us the new cost of the mint tea blend.
Therefore cost per ounce will be $8.0
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- 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.
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