4.2 Flashcards

1
Q

T or F: Let A denote an m x n matrix.

A null space is a vector space

A

The statement is true. The null space of an m x n matrix A is a subspace of set of real numbers R^n.

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2
Q

T or F: Let A denote an m x n matrix.

The column space of an m x n matrix is in set of real numbers R^m.

A

The statement is true. The column space of an m x n matrix A is a subspace of set of real numbers R^m.

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3
Q

T or F: Let A denote an m x n matrix.

The column space of​ A, Col​ A, is the set of all solutions of Ax = b.

A

The statement is false. The column space of A is Col A = ​{b​ : b = Ax for some x in set of real numbers R^n​}.

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4
Q

T or F: Let A denote an m x n matrix.

The null space of​ A, Nul​ A, is the kernel of the mapping x maps to Ax.

A

The statement is true. The kernel of a linear transformation​ T, from a vector space V to a vector space​ W, is the set of all u in V such that ​T(u​) = 0. ​Thus, the kernel of a matrix transformation ​T(x​) = Ax is the null space of A.

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5
Q

T or F: The range of a linear transformation is a vector space.

A

The statement is true. The range of a linear transformation​ T, from a vector space V to a vector space​ W, is a subspace of W.

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6
Q

T or F: The set of all solutions of a homogeneous linear differential equation is the kernel of a linear transformation.

A

The statement is true. The linear transformation that corresponds to a linear differential equation maps each function f to a linear combination of f and at least one of its derivatives. For f to satisfy a homogeneous differential​ equation, this transformation must map f to 0.​ Thus, the set of all solutions is the kernel of the corresponding linear transformation.

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7
Q

T or F: The row space of A Superscript T is the same as the column space of A.

A

The statement is true because the rows of A^T are the columns of (A^T)^T = A.

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8
Q

Definition for Null Space

A

Nul A = {x: x is in R^n and Ax = 0}

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9
Q

Thrm: The null space of m x n matrix A is a ________ of R^n. Equivalently, the set of all solutions to a system Ax = 0 of m homogeneous linear eqns in n unknowns is a ________ of R^n.

A

subspace

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10
Q

Definition of Column Space

A

Col A = Span {a_1,……..,a_n}

or

Col A = {b : b = Ax for some x in R^n}

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11
Q

The Column Space of an m x n matrix A is a ________ of R^m.

A

subspace

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12
Q

Null Space or Col Space?

Is a subspace of R^n.

A

Null Space

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13
Q

Null Space or Col Space?

Is a subspace of R^m

A

Col Space

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14
Q

Null Space or Col Space?

Implicity defined; that is, you are given only a condition (Ax=0) that vectors in ____ must satisfy

A

Null Space

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15
Q

Null Space or Col Space?

Explicited defined; that is, you are told how to build vectors in ______

A

Col Space

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16
Q

Null Space or Col Space?

It takes time to find vectors in this subspace. Row operations on [A 0] are required.

A

Null Space

17
Q

Null Space or Col Space?

Easy to find vectors in this subspace. The columns of A are displayed; other are formed from them

A

Col Space

18
Q

Null Space or Col Space?

There is no obvious relation b/w this subpsace and the entries in A

A

Null Space

19
Q

Null Space or Col Space?

There is an obvious relation b/w this subspace and the entries in A, since each column of A is in Col A.

A

Col Space

20
Q

Null Space or Col Space?

A typical vector v in this subspace has the property that Av = 0

A

Null Space

21
Q

Null Space or Col Space?

A typical vector v in this subspace has the propety that the eqn Ax = v is consistent

A

Col Space

22
Q

Null Space or Col Space?

Given a specific vector v, it is easy to tell if v is in this subspace. Just Compute Av

A

Null Space

23
Q

Null Space or Col Space?

Given a specific vector, it may take time to tell if v is in this subspace. Row operations on [A v] are required

A

Col space

24
Q

Null Space or Col Space?

This subspace = {0} if and only if the eqn Ax = 0 has only the trivial solution

A

Null space

25
Q

Null Space or Col Space?

This subspace = R^m if and only if the eqn Ax = b has a soln for every b in R^m

A

Col Space

26
Q

Null Space or Col Space?

This subspace = {0} if and only if if the linear transformation x maps to Ax is one to one

A

Null space

27
Q

Null Space or Col Space?

This subspace = R^m if and only if the linear transformation x maps to Ax maps R^n onto R^m

A

Col Space

28
Q

Definition of a linear transformation from two vector spaces

A

A linear transformation T from a vector space V into a vector space W is a rule that assigns to each vector x in V a unique vector T(x) in W, such that:

i. T(u+v) = T(u) + T(v) for all u, v in V, and
ii, T(cu) = cT(u) for all u in V and all scalars c.

29
Q

what is the kernel?

A

The kernel of a linear transformation is the set of x in V. The set of x in V such that T(x) = 0.