Linear Algebra true or false

In summary, the conversation revolved around determining the truth of several statements related to vector spaces and their bases. The group discussed whether certain sets of vectors in a given vector space were linearly independent or could span the entire space. The group also discussed the definition of "span" and whether there were any restrictions on the number of vectors that can span a vector space. Through their discussion, they determined that a set of three linearly independent vectors in R^3 is always a basis for R^3, and that a set of five vectors in R^4 may not always span R^4. They also determined that having a basis with 7 elements does not guarantee that any other basis for the same vector space will also have
  • #1
will
2
0
i did most of them,, u guys are prob experts I am having big probelm with the a few of them
please check my work, thanks
hints please.,

True or False, only True if it is always true
1) Any linearly independent set of three vectors in R^3 is a basis for R^3___true

2) Any set of five vectors in R^4 spans R^4__false

3) Any set of four vectors in R^3 is linearly independent__false

4) the set {(1,0,1),(-5,4,-9),(5,-3,8),(2,-1,3)} spans R^3___

5) the set {x^3 – x + 2, x^2 + x – 2, 3x^3 + 2x^2 + 4x} spans P^3___

6) If a vector space V has a basis S with 7 elements, then any other basis T for V also has

7 elements____true

7) If a set S of vectors in V contains the zero vector, then S is linearly dependent___true

8) If dim(V) = n, then any set of n – 1 vectors in V must be linearly independent___

9) if dim(V) = n, then any set of n + 1 vectors in V must be linearly independent____

10) if dim(V) = n, then there exists a set of n + 1 vectors in V that spans V____
 
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  • #2
On #4, they'll span R^3 if 3 of them are linearly independent, correct? On most of these true/false about "all vectors in X must be..." choosing all zero vectors usually provides a counterexample. And on 10, if dim(V) = n, the basis for V + 0-vector would provide the example, correct?
 
  • #3
will said:
5) the set {x^3 – x + 2, x^2 + x – 2, 3x^3 + 2x^2 + 4x} spans P^3___

It is not hard to show that, for a vector space of dimension n, no set with less then n elements can span that vector space.

will said:
8) If dim(V) = n, then any set of n – 1 vectors in V must be linearly independent___

Let V = R^3. Let S = {(1, 0, 0), (2, 0, 0)}. Is S independent?

will said:
10) if dim(V) = n, then there exists a set of n + 1 vectors in V that spans V____

What do you think? What is the exact definition of "span"? Is there any restriction on the number of vectors in this definition?
 

1. Is linear algebra only used in math and science fields?

No, linear algebra is a fundamental branch of mathematics that has applications in various fields such as engineering, computer science, economics, and physics.

2. Is linear algebra only about solving systems of linear equations?

No, while solving systems of linear equations is an important aspect of linear algebra, it also deals with concepts like vector spaces, linear transformations, and eigenvalues/eigenvectors.

3. Can matrices only have real numbers as entries?

No, matrices can have entries from any field, including complex numbers. In fact, complex numbers play a crucial role in linear algebra, especially in the study of eigenvalues and eigenvectors.

4. Is the determinant of a matrix the same as its trace?

No, the determinant and trace are two distinct properties of a matrix. The determinant is a scalar value that represents the scaling factor of a linear transformation, while the trace is the sum of the elements on the main diagonal of a square matrix.

5. Is it necessary to know linear algebra to understand machine learning?

Yes, linear algebra is essential in machine learning as it is used to represent and manipulate data, as well as to build and train models. Concepts like matrix multiplication, eigenvalues, and eigenvectors are commonly used in machine learning algorithms.

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