Quiz: Vectors and Vector Subspaces — 31 questions

Detailed questions and answers

1. Which description correctly defines the real plane R2\mathbb{R}^2?

The set of vectors with three components
The set of ordered pairs of real numbers
The set of ordered triples of real numbers
The set of positive real number pairs

The set of ordered pairs of real numbers

Explanation

The real plane consists of ordered pairs (x,y)\left(x,y\right) where both coordinates are real numbers. Ordered triples describe R3\mathbb{R}^3, not R2\mathbb{R}^2.

2. A point in real space R3\mathbb{R}^3 must be represented by which type of coordinate tuple?

An ordered triple of real numbers
A pair of vectors in the plane
A single nonnegative real number
An ordered pair of real numbers

An ordered triple of real numbers

Explanation

Real space is defined as the set of ordered triples (x,y,z)\left(x,y,z\right) with real coordinates. An ordered pair belongs to the real plane R2\mathbb{R}^2.

3. What three geometric features characterize the vector AB→\overrightarrow{AB} from two distinct points A and B?

Slope, intercept, and distance from the origin
Length, midpoint, and angle at the origin
Magnitude, direction, and orientation from A to B
Initial point, terminal point, and midpoint

Magnitude, direction, and orientation from A to B

Explanation

The vector AB→\overrightarrow{AB} has the magnitude of segment AB, the direction of line AB, and orientation from A toward B. Its midpoint and slope are not part of this defining trio.

4. Two geometric vectors can be equal even when they have different initial points provided that they share which properties?

The same magnitude, direction, and orientation
The same coordinates relative to one fixed origin
The same initial point, endpoint, and midpoint
The same supporting line and intersection point

The same magnitude, direction, and orientation

Explanation

Equal vectors have identical magnitude, direction, and orientation, regardless of where they are positioned. Sharing an initial point is a property of coincident geometric segments, not a requirement for equal vectors.

5. How is the sum of two nonzero vectors with different directions represented geometrically?

By the longer side of the triangle formed by the vectors
By the midpoint of the segment joining their endpoints
By a vector obtained after reversing the second vector
By the diagonal of the parallelogram formed by the vectors

By the diagonal of the parallelogram formed by the vectors

Explanation

Placing the two vectors as adjacent sides of a parallelogram makes their sum the diagonal from the common initial point. Reversing a vector changes its orientation rather than representing vector addition.

6. If a vector u⃗\vec u is multiplied by a negative scalar λ\lambda, what happens to its orientation?

Its direction becomes perpendicular to the original
Its magnitude becomes zero
Its orientation is preserved
Its orientation is reversed

Its orientation is reversed

Explanation

A negative scalar reverses the orientation of the vector, while the magnitude is scaled by the scalar's absolute value. A zero scalar produces the zero vector, but a negative scalar does not.

7. Which expression shows that w⃗\vec w is a linear combination of u⃗\vec u and v⃗\vec v?

The vectors satisfy w⃗=u⃗+v⃗\vec w=\vec u+\vec v with equal magnitudes
There is a real number λ\lambda such that w⃗=λu⃗\vec w=\lambda\vec u
The vectors satisfy w⃗⋅u⃗=v⃗\vec w\cdot\vec u=\vec v for some real coordinates
There are real numbers λ\lambda and μ\mu such that w⃗=λu⃗+μv⃗\vec w=\lambda\vec u+\mu\vec v

There are real numbers $$\lambda$$ and $$\mu$$ such that $$\vec w=\lambda\vec u+\mu\vec v$$

Explanation

A linear combination permits two real coefficients and has the form w⃗=λu⃗+μv⃗\vec w=\lambda\vec u+\mu\vec v. Restricting the expression to one coefficient does not capture the stated definition in general.

8. Which standard basis corresponds to an orthonormal frame in R3\mathbb{R}^3?

(i⃗,k⃗)\left(\vec i,\vec k\right)
(j⃗,k⃗)\left(\vec j,\vec k\right)
(i⃗,j⃗)\left(\vec i,\vec j\right)
(i⃗,j⃗,k⃗)\left(\vec i,\vec j,\vec k\right)

$$\left(\vec i,\vec j,\vec k\right)$$

Explanation

The standard basis of R3\mathbb{R}^3 contains the three vectors i⃗\vec i, j⃗\vec j, and k⃗\vec k. The pair (i⃗,j⃗)\left(\vec i,\vec j\right) is the standard basis for R2\mathbb{R}^2.

9. What is the magnitude of a vector with coordinates (6,8)\left(6,8\right) in R2\mathbb{R}^2?

1414
4848
1010
28\sqrt{28}

$$10$$

Explanation

Using the planar norm gives ∥u⃗∥=x2+y2=62+82=100=10\|\vec u\|=\sqrt{x^2+y^2}=\sqrt{6^2+8^2}=\sqrt{100}=10. Adding the coordinates or multiplying them does not apply the magnitude formula.

10. If A=(2,−1)A=(2,-1) and B=(7,4)B=(7,4) in R2\mathbb{R}^2, what is the coordinate vector AB→\overrightarrow{AB}?

(9,3)(9,3)
(2,−1,7,4)(2,-1,7,4)
(−5,−5)(-5,-5)
(5,5)(5,5)

$$(5,5)$$

Explanation

The coordinate vector is found by subtracting A's coordinates from B's coordinates: AB→=(xB−xA,yB−yA)=(7−2,4−(−1))=(5,5)\overrightarrow{AB}=(x_B-x_A,y_B-y_A)=(7-2,4-(-1))=(5,5). Reversing the subtraction would produce the vector from B to A.

11. Which condition distinguishes collinearity of two vectors from coplanarity of three vectors in R3\mathbb{R}^3?

Collinearity requires a zero dot product, whereas coplanarity requires equal lengths
Collinearity concerns determinants, whereas coplanarity concerns vector magnitudes
Collinearity uses a scalar multiple, whereas coplanarity uses a linear combination of two vectors
Collinearity uses a linear combination, whereas coplanarity uses a scalar multiple

Collinearity uses a scalar multiple, whereas coplanarity uses a linear combination of two vectors

Explanation

Two vectors are collinear when one is a scalar multiple of the other, while three vectors are coplanar when one can be expressed as a linear combination of the other two. A linear combination is therefore the relevant criterion for coplanarity, not collinearity.

12. Why do two non-collinear vectors form a basis of R2\mathbb{R}^2?

They provide a unique linear combination for every vector in the plane
They generate the plane even when one vector is redundant
They have equal lengths and point in perpendicular directions
They are scalar multiples of one another and share one direction

They provide a unique linear combination for every vector in the plane

Explanation

Two non-collinear vectors span the plane and give every vector a unique linear combination, which is the defining basis property. A generating family can contain redundant vectors, but a basis cannot have that kind of redundancy.

13. If u⃗=(2,−1,3)\vec u=(2,-1,3) and v⃗=(4,0,−2)\vec v=(4,0,-2), what is their dot product?

10
2
-2
-8

-2

Explanation

The three-dimensional dot product is computed by multiplying corresponding coordinates and adding: 2×4+(−1)×0+3×(−2)=−22\times4+(-1)\times0+3\times(-2)=-2. The result is a scalar, unlike a cross product, which produces a vector.

14. Two vectors have a dot product of zero; what can be concluded about them?

They point in the same direction
They are collinear
They are orthogonal
They have equal lengths

They are orthogonal

Explanation

Vectors are orthogonal if and only if their dot product is zero. Collinear vectors generally have a nonzero dot product unless a zero vector is involved, so collinearity is a different condition.

15. For nonzero vectors u⃗=(1,2)\vec u=(1,2) and v⃗=(2,0)\vec v=(2,0), what is the orthogonal projection of u⃗\vec u onto v⃗\vec v?

(0,1)(0,1)
(1,0)(1,0)
(1,2)(1,2)
(2,0)(2,0)

$$(1,0)$$

Explanation

Using pv⃗(u⃗)=u⃗⋅v⃗∥v⃗∥2v⃗p_{\vec v}(\vec u)=\frac{\vec u\cdot\vec v}{\|\vec v\|^2}\vec v gives 24(2,0)=(1,0)\frac{2}{4}(2,0)=(1,0). The projection must be a scalar multiple of v⃗\vec v, so it lies along the direction of v⃗\vec v.

16. Two nonzero vectors have lengths 33 and 44 and form an angle of 60∘60^\circ. What is their dot product?

1
6
7
12

6

Explanation

The angle formula gives u⃗⋅v⃗=∥u⃗∥∥v⃗∥cos⁡(60∘)=3×4×12=6\vec u\cdot\vec v=\|\vec u\|\|\vec v\|\cos(60^\circ)=3\times4\times\frac12=6. Multiplying the lengths without the cosine factor would incorrectly ignore the angle between the vectors.

17. For u⃗=(3,1)\vec u=(3,1) and v⃗=(2,4)\vec v=(2,4), what is det⁡(u⃗,v⃗)\det(\vec u,\vec v)?

14
2
-10
10

10

Explanation

The planar determinant is a1b2−a2b1=3×4−1×2=10a_1b_2-a_2b_1=3\times4-1\times2=10. Its sign records orientation, so it is not the same calculation as adding coordinate products.

18. What is the area of the parallelogram spanned by u⃗=(1,3)\vec u=(1,3) and v⃗=(2,1)\vec v=(2,1)?

7
2
5
-5

5

Explanation

The determinant is 1×1−3×2=−51\times1-3\times2=-5, and the geometric area is its absolute value, ∣−5∣=5|-5|=5. A signed determinant can be negative because it records orientation, but area is nonnegative.

19. Which description correctly characterizes the cross product of two non-collinear vectors in R3\mathbb{R}^3?

It is a vector parallel to both inputs, with length equal to their angle
It is a scalar equal to the sum of the corresponding coordinate products
It is a scalar measuring the signed area between the two input vectors
It is a vector perpendicular to both inputs, with direction set by the right-hand rule

It is a vector perpendicular to both inputs, with direction set by the right-hand rule

Explanation

The cross product is perpendicular to both non-collinear input vectors, and its orientation follows the right-hand rule. The dot product, not the cross product, produces a scalar from two vectors.

20. What is the cross product of u⃗=(1,2,3)\vec u=(1,2,3) and v⃗=(4,5,6)\vec v=(4,5,6)?

(6,−3,−3)(6,-3,-3)
(−3,6,−3)(-3,6,-3)
(−3,−6,3)(-3,-6,3)
(3,−6,3)(3,-6,3)

$$(-3,6,-3)$$

Explanation

Applying the coordinate formula gives u⃗∧v⃗=(2×6−3×5,3×4−1×6,1×5−2×4)=(−3,6,−3)\vec u\wedge\vec v=(2\times6-3\times5,3\times4-1\times6,1\times5-2\times4)=(-3,6,-3). The other choices contain sign or component-order errors.

21. Two vectors in R3\mathbb{R}^3 have lengths 4 and 5 and form an angle of 30∘30^\circ; what is the area of the parallelogram they span?

1010
2020
4040
532\frac{5\sqrt{3}}{2}

$$10$$

Explanation

The parallelogram area is the cross-product norm, so it equals 4×5×sin⁡(30∘)=104\times5\times\sin(30^\circ)=10. Multiplying the lengths without the sine factor would give the wrong value for a non-right angle.

22. What kind of quantity is the mixed product det⁡(u⃗,v⃗,w⃗)=u⃗⋅(v⃗∧w⃗)\det(\vec u,\vec v,\vec w)=\vec u\cdot(\vec v\wedge\vec w)?

A vector perpendicular to all three inputs
A scalar
A matrix with three rows
A pair of perpendicular vectors

A scalar

Explanation

The cross product v⃗∧w⃗\vec v\wedge\vec w is a vector, and taking its dot product with u⃗\vec u produces a scalar. Confusing the mixed product with the cross product incorrectly assigns it a vector value.

23. Three vectors have mixed-product determinant −12-12; what volume does their parallelepiped have?

−12-12
1212
112\frac{1}{12}
144144

$$12$$

Explanation

The parallelepiped volume is the absolute value of the mixed product, so V=∣−12∣=12V=|-12|=12. The negative determinant records orientation, not a negative physical volume.

24. Three vectors in R3\mathbb{R}^3 have determinant zero; what conclusion follows about them?

They do not form a basis of R3\mathbb{R}^3
They span a parallelepiped of unit volume
They form an orthonormal basis of R3\mathbb{R}^3
They are necessarily three pairwise perpendicular vectors

They do not form a basis of $$\mathbb{R}^3$$

Explanation

Three vectors form a basis of R3\mathbb{R}^3 if and only if their mixed-product determinant is nonzero. A zero determinant means the vectors are linearly dependent and therefore cannot form a basis.

25. Which set describes Span⁡(u⃗,v⃗)\operatorname{Span}(\vec u,\vec v)?

All vectors of the form λu⃗+μv⃗\lambda\vec u+\mu\vec v with λ,μ∈R\lambda,\mu\in\mathbb{R}
All vectors perpendicular to both u⃗\vec u and v⃗\vec v
The two listed vectors u⃗\vec u and v⃗\vec v without additional vectors
All vectors whose coordinates equal the coordinates of either input vector

All vectors of the form $$\lambda\vec u+\mu\vec v$$ with $$\lambda,\mu\in\mathbb{R}$$

Explanation

The span consists of every linear combination λu⃗+μv⃗\lambda\vec u+\mu\vec v with real coefficients. The listed vectors are generators, whereas their span can contain infinitely many additional vectors.

26. If w⃗=2u⃗−3v⃗\vec w=2\vec u-3\vec v, what happens to Span⁡(u⃗,v⃗,w⃗)\operatorname{Span}(\vec u,\vec v,\vec w) when w⃗\vec w is removed?

The spanned subspace becomes the set of vectors perpendicular to u⃗\vec u
The spanned subspace becomes the line through w⃗\vec w
The spanned subspace remains unchanged
The spanned subspace becomes larger because one constraint is removed

The spanned subspace remains unchanged

Explanation

Because w⃗\vec w is already a linear combination of u⃗\vec u and v⃗\vec v, it adds no new direction to the span. Removing a redundant generator therefore leaves the spanned subspace unchanged.

27. What condition must a vector n⃗\vec n satisfy to be normal to a subspace SS?

It must belong to the generating family of SS
It must have the same length as every vector in SS
It must be parallel to at least one vector in SS
It must be orthogonal to every vector in SS

It must be orthogonal to every vector in $$S$$

Explanation

A normal vector is orthogonal to every vector in the subspace. Being listed as a generator or parallel to one member of the subspace does not establish orthogonality to the entire subspace.

28. What geometric object is formed by the span of a nonzero vector u⃗=(a,b)\vec u=(a,b) in R2\mathbb{R}^2?

An affine line that may be displaced from the origin
A vector line through the origin with direction vector u⃗\vec u
A vector plane generated by two independent directions
A single point determined by the endpoint of u⃗\vec u

A vector line through the origin with direction vector $$\vec u$$

Explanation

The span of a nonzero vector in R2\mathbb{R}^2 consists of all scalar multiples of that vector, forming a vector line through the origin. An affine line can fail to pass through the origin, so it is a different geometric object.

29. Which Cartesian equation represents the vector line generated by u⃗=(3,2)\vec u=(3,2)?

3x+2y=03x+2y=0
2y+3x=12y+3x=1
3y−2x=03y-2x=0
2x−3y=12x-3y=1

$$3y-2x=0$$

Explanation

For u⃗=(a,b)\vec u=(a,b), the generated vector line has equation ay−bx=0ay-bx=0; substituting a=3a=3 and b=2b=2 gives 3y−2x=03y-2x=0. Equations with a nonzero constant describe affine lines rather than vector lines through the origin.

30. What condition on two vectors in R3\mathbb{R}^3 ensures that their span is a vector plane?

They are non-collinear vectors
They have equal lengths and opposite directions
They are scalar multiples of one another
They both have a zero coordinate

They are non-collinear vectors

Explanation

Two non-collinear vectors provide two distinct directions, so their span is a vector plane in R3\mathbb{R}^3. Scalar multiples are collinear and span a line instead of a plane.

31. A plane has Cartesian equation 4x−3y+2z=04x-3y+2z=0. Which vector is normal to this plane?

(−3,2,4)(-3,2,4)
(2,−3,4)(2,-3,4)
(4,3,2)(4,3,2)
(4,−3,2)(4,-3,2)

$$(4,-3,2)$$

Explanation

For a plane written as ax+by+cz=0ax+by+cz=0, the coefficient vector (a,b,c)(a,b,c) is a normal vector. Here the coefficients give (4,−3,2)(4,-3,2), while the other choices rearrange or change signs of the coefficients.

Review with flashcards

Memorize the answers with 43 flashcards on Vectors and Vector Subspaces.

What is the real plane R2\mathbb{R}^2 defined as?

The set of ordered pairs of real numbers.

What is the real space R3\mathbb{R}^3 defined as?

The set of ordered triples of real numbers.

What magnitude does the geometric vector AB→\overrightarrow{AB} have?

The magnitude of segment AB.

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