### Problem Set 2

Problem Set Guidelines

Problem 1: 1.3 #30

Problem 2: 1.4 #24 b)

Problem 3: 1.4 #30

Problem 4: 1.5 #24 c)

Problem 5: [Note: This question is worth more points than Probs 1-4]
Look at Vector([1,1,1]) and let L=Span of (1,1,1) = {t (1,1,1) where t is real}. Notice L is a line through the origin in R3 and we can graph the vector in Maple (without the arrowhead) as:
with(LinearAlgebra): with(plots):
a:=spacecurve([t,t,t],t=0..1,color=red,linestyle=solid):
display(a);

Part A: Find a vector w1 so that {Vector([1,1,1]), w1} is spans a plane P1.
Part B: Find a vector w2 not on the same line through the origin as w1 so that {Vector([1,1,1]), w2} also spans the same plane P1.
Part C: In Maple, use spacecurve commands and display as above to show that all three vectors lie in the same plane but no 2 are on the same line [use different colors like black, blue, green..., and one display command like display(a,b,c);]. Provide 2 different views of the plane for printing - one that shows the 3 vectors, and another view of the plane "head on" that shows that they are all in the sample plane. You can click and turn the graphs to get different views.
Part D: Describe all the vectors w for which {Vector([1,1,1]), w} spans the same plane P1 [Hint - linear combinations are in the same geometric space so think about what linear combinations
a Vector([1,1,1]) + b w1
you can use that will still span the plane - ie what a's and b's you can (and can't) use to span the entire plane with Vector([1,1,1])].
Part E: Find a vector u so that {Vector([1,1,1]), u} spans a different plane P2 through the origin.
Part F: Add u to your graph from Part C to show it lies outside the plane (turn the plane head on and show that u sticks out).

Problem 6: [Note: This question is worth more points than Probs 1-4].
Concrete mix, which is used in jobs as varied as making sidewalks and building bridges, is composed of five main materials: cement, water, sand, gravel, and fly ash. By varying the percentages of these materials, mixes of concrete can be produced with differing characteristics. For example, the water-to-cement ratio affects the strength of the final mix, the sand-to-gravel ratio affects the "workability" of the mix, and the fly-ash-to-cement ratio affects the durability. Since different jobs require concrete with different characteristics, it is important to be able to produce custom mixes.

Assume you are the manager of a building supply company and plan to keep on hand three basic mixes of concrete from which you will formulate custom mixes for your customers. The basic mixes have the following characteristics:
 Super-Strong Type S All-Purpose Type A Long-Life Type L Cement 20 18 12 Water 10 10 10 Sand 20 25 15 Gravel 10 5 15 Fly ash 0 2 8
Each measuring scoop of any mix weighs 60g, and the numbers in the table above give the breakdown by grams of the components of the mix. Custom mixes are made by combining the three basic mixes using weights that are some part of a scoop (perhaps even microscopic amounts). For example, a custom mix might have 10 scoops of Type S, 14 of Type A, and .001 of Type L. We can represent any mixture by a vector [c,w,s,g,f] in R5 representing the amounts of cement, water, sand, gravel, and fly ash in the final mix.

Part A: Give a practical interpretation to the linear combination 3S+5A+2L by discussing the resulting strength (low water to cement ratio), workability (high sand to gravel ratio), and durability (high fly ash to cement ratio) of the mix and comparing it to those of S,A and L.

Part B: What does Span{S,A,L} = {a S + b A + c L where a, b, and c are real numbers} represent in this context?

Part C: A customer requests 6 kg of (6000 g) of a custom mix with the following proportions of cement, water, sand, gravel, and fly ash: 16:10:21:9:4 Is it possible to make using only S, A and L? If so, find the number of scoops of the basic mixes (S, A, and L) needed to create this mix.

Part D: If there is a solution in Part C, is the solution unique? Explain.

Part E: Let V=Vector([16,10,21,9,4]). Is {S, A, L, V} linearly independent? Explain.

Part F: Let U=Vector([12,12,12,12,12]). Show that {S,A,L,U} is a linearly independent set of vectors by showing work using the definition of l.i. and explaining. What practical advantage does that have?

Part G: Define a fifth basic mix W to add to {S,A,L,U} such that any custom mixture can be expressed as a linear combination of the set of mixes {S,A,L,U,W}, and show (and explain) why this works.

Part H: Why will there still be mixes that cannot be physically be produced from this set of five basic mixes? Give an example where this happens.

I'll be posting responses to select ASULearn messages I receive from the class in the forum on ASULearn - so look there for hints and suggestions.
A Review of Various Maple Commands:
> with(LinearAlgebra): with(plots):
> A:=Matrix([[-1,2,1,-1],[2,4,-7,-8],[4,7,-3,3]]);
> ReducedRowEchelonForm(A);
> GaussianElimination(A);
(only for augmented matrices with unknown variables like k or a, b, c in the augmented matrix)
> Vector([1,2,3]);
> A.B;
> A+B;
> B-A;
> 3*A;
> A^3;
> evalf(M)
(decimal approximation of M)
> spacecurve({[4*t,7*t,3*t,t=0..1],[-1*t,2*t,6*t,t=0..1]},color=red, thickness=2);
plot vectors as line segments in R3 (ie the columns of matrices) to show whether the the columns are in the same plane, etc.
> implicitplot({2*x+4*y-2,5*x-3*y-1}, x=-1..1, y=-1..1);
> implicitplot3d({x+2*y+3*z-3,2*x-y-4*z-1,x+y+z-2},x=-4..4,y=-4..4,z=-4..4);
plot equations of planes in R^3 (rows of augmented matrices) to look at the geometry of the intersection of the rows (ie 3 planes intersect in a point, a line, a plane, or no common points)
> display(a,b,c);
if plots are set to variables (careful to end those with a colon instead of semi-colon) like a:=implicitplot(...): then this will display them on the same plot