Flashcards: Linear Equations and Matrix Algebra — 94 cards

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1Question

What is an algebraic expression?

Answer

A mathematical statement linking numerical quantities by operations.

2Question

What does an equation indicate about two algebraic expressions?

Answer

They are equal.

3Question

What characterizes a linear equation's variables?

Answer

They have degree one.

4Question

What types of terms does a linear equation contain?

Answer

Only constants or constants times one variable to the first power.

5Question

What does the slope of a line measure?

Answer

The change in Y relative to a one-unit change in X.

6Question

What else does the slope measure about a line?

Answer

The line's steepness.

7Question

What is the general form of a linear equation?

Answer

Y=mx+bY=mx+b

8Question

In Y=mx+bY=mx+b, what does mm represent?

Answer

The slope.

9Question

Which forms can develop a line equation?

Answer

Slope-intercept, slope-point, and two-point forms.

10Question

What is the slope-intercept form of a line?

Answer

Y=mX+bY=mX+b where mm is slope and bb is Y-intercept.

11Question

What is the slope-point form of a line through (X1,Y1)(X_1,Y_1)?

Answer

YY1=m(XX1)Y - Y_1 = m(X - X_1) where mm is slope.

12Question

How is slope mm calculated from points (X1,Y1)(X_1,Y_1) and (X2,Y2)(X_2,Y_2)?

Answer

m=Y2Y1X2X1m=\frac{Y_2 - Y_1}{X_2 - X_1} when X1X2X_1 \ne X_2.

13Question

When is a line horizontal and what is its equation?

Answer

When points share the same Y-coordinate; equation is Y=constantY=\text{constant}.

14Question

When is a line vertical and what is its equation?

Answer

When points share the same X-coordinate; equation is X=constantX=\text{constant}.

15Question

When are two non-vertical lines parallel?

Answer

When they have the same slope.

16Question

When are two non-vertical lines perpendicular?

Answer

When the product of their slopes is 1-1.

17Question

What is the formula for total cost in business cost models?

Answer

TC=VC+FCTC=VC+FC

18Question

How is total revenue calculated with price PP and quantity QQ?

Answer

Total revenue is TR=PQTR=PQ.

19Question

How is profit Π\Pi calculated from total revenue and total cost?

Answer

Profit is Π=TRTC\Pi=TR-TC.

20Question

In a linear cost model, what equals the unit variable cost?

Answer

Marginal cost equals unit variable cost.

21Question

How does average fixed cost behave as quantity increases in a linear cost model?

Answer

Average fixed cost decreases as quantity increases.

22Question

What defines the break-even point in business?

Answer

It is where total revenue equals total cost and profit is zero.

23Question

What is the formula for break-even quantity QeQ_e in manufacturing?

Answer

Qe=FCPVCQ_e=\frac{FC}{P-VC}

24Question

How does increasing selling price affect break-even quantity?

Answer

Increasing selling price decreases break-even quantity.

25Question

What is a matrix in terms of its arrangement?

Answer

A rectangular array of real numbers arranged in m rows and n columns.

26Question

Where is element aija_{ij} located in a matrix?

Answer

In row i and column j of the matrix.

27Question

What does the dimension m×nm \times n of a matrix represent?

Answer

It means the matrix has m rows and n columns.

28Question

Which main types of matrices are commonly presented?

Answer

Vector, square, zero, identity, and scalar matrices.

29Question

What defines an identity matrix?

Answer

A square matrix with ones on the primary diagonal and zeros elsewhere.

30Question

What happens when you multiply a conformable matrix by an identity matrix?

Answer

The matrix remains unchanged after multiplication.

31Question

When are two matrices conformable for addition or subtraction?

Answer

Only when they have the same dimensions.

32Question

What does multiplying a matrix by a scalar do to its elements and dimension?

Answer

It multiplies every element by the scalar and keeps the same dimension.

33Question

What property does scalar multiplication of matrices satisfy with a real scalar X?

Answer

Scalar multiplication commutes: X A = A X.

34Question

How is scalar multiplication distributive over scalar and matrix addition?

Answer

(X + Y)A = XA + YA and X(A + B) = XA + XB.

35Question

What is the associative property of scalar multiplication?

Answer

X(YA) = XY(A).

36Question

When are two matrices conformable for multiplication?

Answer

When the first matrix's columns equal the second matrix's rows.

37Question

What is the dimension of the product AB if A is n × m and B is m × p?

Answer

AB has dimension n × p.

38Question

Which properties does matrix multiplication have and which does it generally lack?

Answer

It is associative and distributive but not generally commutative.

39Question

Can AB be zero if neither A nor B is zero?

Answer

Yes, AB may be zero even if neither A nor B is zero.

40Question

Does AB = AC imply B = C for matrices?

Answer

No, AB = AC does not generally imply B = C.

41Question

What condition defines the inverse of a square matrix A?

Answer

AA⁻¹ = A⁻¹A = I

42Question

What distinguishes an invertible matrix from a singular matrix?

Answer

An invertible matrix has an inverse; a singular matrix does not.

43Question

Which matrices can have inverses?

Answer

Only square matrices can have inverses.

44Question

Is the inverse of a matrix unique when it exists?

Answer

Yes, the inverse is unique.

45Question

What is the first step to find the inverse of a square matrix A?

Answer

Augment A with the identity matrix I.

46Question

What row operation goal must be achieved on the left side to find A⁻¹?

Answer

Transform the left side into the identity matrix I.

47Question

Where do you read the inverse matrix after row operations on the augmented matrix?

Answer

From the right side of the augmented matrix.

48Question

What are the three elementary row operations?

Answer

Interchange rows, multiply a row by a nonzero number, add a multiple of one row to another.

49Question

How does the inverse method solve AX = B?

Answer

It finds A⁻¹ and computes X = A⁻¹B.

50Question

When can the inverse method be applied to a system?

Answer

Only when the coefficient matrix is square and invertible.

51Question

What limitation does the inverse method have regarding solution types?

Answer

It cannot distinguish no-solution from infinitely-many-solution cases.

52Question

What is the first step in Gaussian elimination for AX = B?

Answer

Augment the coefficient matrix with the constant vector.

53Question

What is the goal of elementary row operations in Gaussian elimination?

Answer

To transform the coefficient matrix into identity form or reveal solution type.

54Question

What does a row of zeros with a nonzero constant signify?

Answer

The system has no solution.

55Question

What does an identity-form coefficient matrix indicate about solutions?

Answer

There is a unique solution.

56Question

What are the possible numbers of solutions for any linear system?

Answer

No solution, exactly one solution, or infinitely many solutions.

57Question

What is the first step to solve a word problem?

Answer

Represent an unknown with a letter.

58Question

How do you express other unknowns in word problems?

Answer

In terms of the first unknown letter.

59Question

What is the next step after expressing unknowns in word problems?

Answer

Translate the information into algebraic equations.

60Question

What equations represent the carpeting example's wool and nylon usage?

Answer

20X + 30Y = 1,500 and 40X + 30Y = 1,800.

61Question

What are the values of X and Y in the carpeting example?

Answer

X = 15 superior-grade rolls and Y = 40 quality-grade rolls.

62Question

What is a Markov chain?

Answer

A probabilistic model studying system evolution using transition probabilities.

63Question

Who introduced the Markov chain and when?

Answer

Andrew Markov, around 1907.

64Question

What can Markov chains predict about a system?

Answer

The probability of the system being in a particular state at a given time and its long-run equilibrium.

65Question

On what does a system's state in a given period depend?

Answer

Its state in the preceding period and the transition probabilities.

66Question

What are the assumptions of a Markov chain?

Answer

Constant transition probabilities, at most one change per period, and regular intervals.

67Question

What is a transition probability?

Answer

The likelihood a system in state i moves to state j next period.

68Question

How are future state vectors calculated in a Markov chain?

Answer

By multiplying the previous state vector by the transition matrix.

69Question

What is the initial distribution in the two-store example?

Answer

(0.8, 0.2).

70Question

What is the transition matrix in the two-store example?

Answer

P=(0.90.10.20.8)P=\begin{pmatrix}0.9&0.1\\0.2&0.8\end{pmatrix}.

71Question

What is the long-run distribution in the two-store example?

Answer

Two-thirds customers at store 1 and one-third at store 2.

72Question

What is linear programming?

Answer

An optimization method allocating scarce resources with limiting conditions as inequalities or equations.

73Question

What objectives can a linear programming model maximize?

Answer

Profit, revenue, sales, or market share.

74Question

What objectives can a linear programming model minimize?

Answer

Cost, time, or distance.

75Question

What do decision variables represent in linear programming?

Answer

Unknown controllable quantities the decision maker must determine.

76Question

What are constraints in linear programming?

Answer

Restrictions limiting feasibility or attainability of a proposed action.

77Question

Give examples of constraints in linear programming.

Answer

Scarce resources, legal requirements, contracts, forecasts, orders, or policies.

78Question

What are parameters in linear programming?

Answer

Fixed numerical values specifying effects of decision variables on objectives and constraints.

79Question

What are the main assumptions of linear programming models?

Answer

Linearity, divisibility, certainty, and non-negativity.

80Question

What are the steps in formulating a linear programming model?

Answer

Define the problem, identify decision variables, specify the objective function, and identify constraints.

81Question

What is the objective in the microcomputer problem?

Answer

To maximize weekly profit by choosing quantities of two computer types to produce.

82Question

What is the objective function in the microcomputer linear programming model?

Answer

Maximize Z=60X1+50X2Z=60X_1+50X_2.

83Question

What are the constraints in the microcomputer linear programming model?

Answer

4X1+10X21004X_1+10X_2\le100, 2X1+X2222X_1+X_2\le22, 3X1+3X2393X_1+3X_2\le39, and X1,X20X_1,X_2\ge0.

84Question

What does the switching-device model maximize?

Answer

Z=8.25X1+7.50X2+7.80X3Z=8.25X_1+7.50X_2+7.80X_3.

85Question

What constraints apply in the switching-device model?

Answer

Two assembly-time constraints of 450 minutes each, minimum production of 20 units per model, and non-negativity.

86Question

Why are non-negativity constraints required in linear programming?

Answer

Because negative quantities are unrealistic for decision variables.

87Question

Which method applies only to linear programming with two variables?

Answer

The graphical solution method.

88Question

Which method handles linear programming problems with more than two variables?

Answer

The algebraic simplex method.

89Question

How does the graphical method solve a linear programming problem?

Answer

By plotting constraints, finding the feasible region, and selecting the optimal point.

90Question

Where does at least one optimal solution occur in a linear programming problem?

Answer

At an extreme or corner point of the feasible region.

91Question

How do you identify the graphical optimum in linear programming?

Answer

Substitute corner point coordinates into the objective function and select the best value.

92Question

What is the optimal production and profit in the microcomputer model example?

Answer

Produce 9 units of type 1 and 4 units of type 2 for a profit of Br. 740.

93Question

What does slack represent in linear programming?

Answer

The unused amount of a scarce resource, equal to available minus used.

94Question

Which constraints have zero slack in the microcomputer solution?

Answer

Inspection time and storage space are binding constraints with zero slack.

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1. What distinguishes an algebraic expression from an equation?

2. Which statement best defines a linear equation?

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