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Daniel [21]
2 years ago
6

ASAP! i need help it for a grade

Mathematics
2 answers:
kirill115 [55]2 years ago
5 0

Answer:

First box -3, 1

Second box -3, 7

Step-by-step explanation:

If they start at 4 on the y-axis, they can go down to 1 or go up to 7. Then we just add the -3 to the x axis.

vodomira [7]2 years ago
4 0

Answer:

(-3,7) and (-3,1)

Step-by-step explanation:

You would move the point up or down one (this is because you are moving on the y-axis) which would only change y leaving x alone as -3. This means you would either subtract 3 or add 3 to 4 which gives you 1 or 7.

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I belive the answer is 5

Step-by-step explanation:

$12- $2 for ppl= $10

$10÷$2 per mile = 5

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A court reporter is paid for her work by the hour. If she makes $75 for 5 hours of work, how much will she be paid for working 1
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Step-by-step explanation:

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Read 2 more answers
Check the true statements below:
valentinak56 [21]

Answer:

a) False

b) False

c) True

d) False

e) False

Step-by-step explanation:

a. A single vector by itself is linearly dependent. False

If v = 0 then the only scalar c such that cv = 0 is c = 0. Hence, 1vl is linearly independent. A set consisting of a single vector v is linearly dependent if and only if v = 0. Therefore, only a single zero vector is linearly dependent, while any set consisting of a single nonzero vector is linearly independent.

b. If H= Span{b1,....bp}, then {b1,...bp} is a basis for H. False

A sets forms a basis for vector space, only if it is linearly independent and spans the space. The fact that it is a spanning set alone is not sufficient enough to form a basis.

c. The columns of an invertible n × n matrix form a basis for Rⁿ. True

If a matrix is invertible, then its columns are linearly independent and every row has a pivot element. The columns, can therefore, form a basis for Rⁿ.

d.  In some cases, the linear dependence relations among the columns of a matrix can be affected by certain elementary row operations on the matrix. False

Row operations can not affect linear dependence among the columns of a matrix.

e. A basis is a spanning set that is as large as possible. False

A basis is not a large spanning set. A basis is the smallest spanning set.

3 0
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