This is a definition and an example of it
Answer:
yeah draw a big marble that contains each color of these marbles , 3 blue ,4 green , 5 red. try it!
Answer:
E(t) = 5t +672 ($)
Step-by-step explanation: INCOMPLETE QUESTION
FROM GOOGLE
she earns 12 $ per hour as tutor and 7 $ per hour as waitress, this month she worked a combined of 96 hours at her two jobs
Let be t the numbers of hours Leila works as tutor this month
Answer:
If Leila worked t hours as tutor then, she worked (96 - t) hours as waitress
E(t) = 12 * t + 7 * (96-t)
E(t) = 12t + 672 - 7t
E(t) = 5t +672 ($)
They are all true None are false
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.
