Matrices and Systems of Equations: Free Response
5 questions in parts, 96 points in total. Work each one out on paper, taking a hint if you get stuck. When you have an answer, reveal the answer to check it, and the full solution only if you still want it. The rubric is there so you can mark your own work.
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1. What the grid keeps, and what it never had . Foundational, 17 points. Question 1 of 5.
An augmented matrix is advertised as a faithful copy of a system: the same information, written without the letters. This question runs that claim in both directions, encoding and decoding, then asks what survives of it when the column behind the bar is thrown away.
- Part A.
Write the augmented matrix of the system , , , using the column order , , .
Write the expression An equation or an expression is enough here. Show how you built it. 4 points
- Part B.
The matrix was written from a system in the variables , , , in that column order. Write the three equations it encodes.
Write the expression An equation or an expression is enough here. Show how you built it. 3 points
- Part C.
Two students encode the same three-equation system. One reserves the columns for , , in that order; the other reserves them for , , . They hand in different matrices and both are marked correct. Explain how both can be faithful encodings, and name the piece of information that has to travel alongside the grid before anyone can decode it at all.
Explain why it works A sentence or two. Reasons, not steps. 4 points
- Part D.
Show that the coefficient matrix on its own does not determine a solution set: give two systems in and that both have coefficient matrix and whose solutions differ, and solve each one.
Construct a counterexample Give one specific case, and show it breaks the claim. 6 points
Hints
One at a time, each one a step further than the last. Take only as many as you need.
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Hint 1 of 4
Ask what one row of the grid has to remember about its equation, and what a reader coming to the grid cold would have to be told separately before they could rebuild anything from it.
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Hint 2 of 4 · Part A
Give each variable its own column and hold that column open in every single row, even in an equation where the variable never appears.
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Hint 3 of 4 · Part C
Follow one equation through both students' choices. The same numbers are recorded either way; only the order they are visited in has moved.
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Hint 4 of 4 · Part D
Change nothing to the left of the bar. Move one number behind it, then actually solve both systems instead of predicting what will happen.
That is every hint for this question.
Answer and solution
Check your answer first. If it is wrong, go back to your paper: the worked solution will still be here.
The answer
Part A
, with a holding the column of each variable an equation leaves out.
Part B
, , and .
Part C
Each matrix is faithful to its own agreed column order, since permuting the columns the same way in every row still lists the same coefficients against the same variables. What must travel with the grid is the dictionary: which variable each column stands for, and that the final column holds constants.
Part D
Any two different constant columns will do. For instance with solves to , while with solves to : one coefficient matrix, two different solutions.
Not what you got? Look for the slip on your own paper before you open the solution. Finding it yourself is worth more than reading it.
Worked solution
Part A
Fix the column order before writing anything, because every row will follow it: column 1 for , column 2 for , column 3 for , and the constants alone behind the bar.
The first equation has no term, so its column holds a , and the third equation has no term, so its column holds a . Those zeros are not filler. They keep every other entry in the column of the variable it multiplies, which is the only thing telling a later reader what the number in the last row is a coefficient of.
A variable written with no number in front of it has coefficient , and a subtracted variable has coefficient , which is where the in row 2 and the two entries of come from. Reading the first row back gives , the equation it was built from.
Part B
Each row is one equation, each of the first three columns belongs to one variable, and the entry behind the bar is the right-hand side.
Row 1 has entries , and , so it says , and the term carrying the zero coefficient can be dropped.
Row 2 has a in the column and a in the column.
Row 3 carries two zeros doing quite different jobs. The in the column says is absent from this equation; the behind the bar says the equation's right-hand side is the number zero. Confusing the two is exactly what the bar is drawn to prevent.
Part C
A row of an augmented matrix records one equation by putting each coefficient in the column reserved for its variable. Nothing inside the row says which variable that is. The assignment lives in an agreement made before a single number is written down.
If the second student reserves column 1 for and column 3 for , then each of their rows is the first student's row with those two entries exchanged, and the exchange happens in every row alike.
Decoding the second matrix under its own agreement puts back on , back on and back on , which is the same equation the first student encoded. So the two grids differ while the systems they stand for do not, and both encodings are faithful.
What neither grid carries is that agreement itself: which variable each column stands for, and that the last column holds constants rather than a fourth variable. That has to be stated alongside the numbers. It is why the bar is drawn at all, and why a matrix handed to someone else comes with its column order attached.
Part D
Hold the left-hand sides fixed and move only the numbers behind the bar. Both systems below have coefficient matrix .
Take the constants and first, and reduce with , applied to the constant as well: .
The bottom row says , so the top row gives . Checking in the second original equation, .
Now keep every entry to the left of the bar and take the constants and . The same operation sends the constant to .
Now and . Checking, .
Two systems, every coefficient shared, and the solutions and are different points. So the coefficient matrix cannot by itself determine a solution set, and the constant column is not decoration: it is the only place the difference between these two systems is recorded. That is why every row operation has to reach it.
In one line
The system encodes as , with a in each absent variable's column, and the given matrix decodes to , , . Two students who fix different column orders both encode faithfully, because exchanging columns in every row alike still attaches the same coefficients to the same variables; what the grid never carries is the dictionary saying which column is which variable and that the last column holds constants. Dropping that last column does lose information: with solves to , while with solves to , on the same coefficient matrix.
Another way: Count what each object can hold
A two-equation system in and is six numbers: four coefficients and two constants. Its coefficient matrix holds four of them, so two of the six have been discarded, and any pair of systems agreeing on the four it keeps is indistinguishable to it. The augmented matrix holds all six, which is the whole content of the claim that the encoding loses nothing.
When it is worth it As a quick test of whether some abbreviated form of a problem can possibly determine the answer: count the numbers the original problem contains and the numbers the abbreviation records.
Rubric
Mark your own paper against this. Give yourself the points for each element you actually wrote down, not the ones you meant to.
Part A 4 points
Puts each coefficient in the column of its own variable, in the stated order, with the constants alone behind the bar. . Worth 2 points.
Keeps the column layout identical in every row, so an equation that omits a variable does not shift its remaining entries left. . Worth 2 points.
Part B 3 points
Reads each row as one equation, with the entry behind the bar as its right-hand side. . Worth 2 points.
Treats a 0 in a variable column as an absent term, and distinguishes it from the 0 sitting behind the bar in the last row. . Worth 1 point.
Part C 4 points
Gives a reason why both grids can be faithful at once, rather than asserting it from the fact that both were marked correct. . Worth 2 points. needs an explanation, not just an answer
Names the agreement a reader must be given before decoding, and says why no entry of the grid records it. . Worth 2 points.
Part D 6 points
Gives two systems whose coefficient entries agree and whose constant columns differ. . Worth 2 points.
Solves both systems and reports two different solutions, rather than asserting that they must differ. . Worth 3 points.
Says what the pair establishes about the information carried by the column behind the bar. . Worth 1 point.
Try a similar problem (Optional)
Same idea, different numbers. Work it on paper, then check yourself the same way.
Write the augmented matrix of the system , , , using the column order , , . Then give two systems in and that share the coefficient matrix and have different solutions, solving each.
The answer
; and with gives , while with gives .
The second equation has no term and the third has no term, so each of those columns holds a .
For the second half, keep the coefficients fixed and change only the constants. With constants and , the operation sends the constant to .
So and . With constants and instead, the same operation gives .
So and . Both pairs check in their own second equation: and .
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2. One pass down the matrix, one climb back up . Foundational, 16 points. Question 2 of 5.
A system in three unknowns arrives as three equations: , , and . This question runs the whole procedure on it, down the matrix and then back up, and finishes by asking why the procedure has the shape it has.
- Part A.
Write the augmented matrix and carry out the downward pass to row-echelon form. Name each step in the or form as you use it, and report the echelon matrix you finish on.
Write the expression An equation or an expression is enough here. Show how you built it. 6 points
- Part B.
Climb your echelon matrix from the bottom row and report . Then substitute the triple into all three equations as they were originally given, and show each one balancing.
Carry your own answer forward Climb whichever echelon matrix your own downward pass produced in part A; if that pass did not come out, reduce the three original equations again before starting the climb.
Solve and show your work Write each step out, and end with the value and its units. 5 points
- Part C.
Two questions about the shape of the procedure rather than about the numbers in this system. First, explain why the climb has to start at the bottom: say what is true of an echelon matrix with a pivot in every variable column, like the one in part A, that makes exactly one new unknown appear each time you move up a row. Second, explain why the downward pass cannot run forever, by naming a quantity that advances at every stage and the ceiling it cannot pass.
Justify your claim State the claim, then give the reason it has to be true. 5 points
Hints
One at a time, each one a step further than the last. Take only as many as you need.
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Hint 1 of 4
The two passes ask different things of the matrix. One is about putting zeros in chosen places; the other is about what those zeros then let you read off, one row at a time.
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Hint 2 of 4 · Part A
Finish column 1 completely with the top pivot before looking at column 2, and write each move down as you make it so the sequence could be replayed by someone else.
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Hint 3 of 4 · Part B
A row becomes an equation again the moment the variables are written back in. Begin with the row that mentions only one of them.
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Hint 4 of 4 · Part C
Count what has been permanently settled after each stage going down, and ask how many times that count can possibly go up.
That is every hint for this question.
Answer and solution
Check your answer first. If it is wrong, go back to your paper: the worked solution will still be here.
The answer
Part A
, after four operations: two clear column 1, one clears column 2, one scales the last pivot.
Part B
, and the three original left-hand sides come out as , and , matching their right-hand sides.
Part C
With a pivot in every variable column, every entry below a pivot is zero, so a row's unknowns are its own pivot variable plus ones already found below it: one new unknown per row, so the climb starts at the bottom. The pass ends because each stage settles one more pivot column, moving strictly right, and the variable columns run out.
Not what you got? Look for the slip on your own paper before you open the solution. Finding it yourself is worth more than reading it.
Worked solution
Part A
Write the grid first, one row per equation, constants behind the bar.
The top left entry is already a , a convenient pivot, so use it to clear the rest of column 1. Each operation runs across all four entries of its row, the constant included: in row 2, and in row 3.
Row 2's leading is now the pivot for column 2, and the below it clears by adding twice row 2. The constant follows the same multiplier: .
One scaling turns the last pivot into a , and it is legal because is not zero.
Each pivot sits strictly to the right of the one above it and every entry below a pivot is zero, so the matrix is in row-echelon form.
Part B
The bottom row of the echelon matrix has a single nonzero coefficient, so it is already an equation in one unknown.
Climb one row. Row 2 reads , and is now known.
Climb again. Row 1 reads , and both other values are in hand.
Now check the triple in the equations as they were given, not in the reduced ones. The reduced matrix is where the triple came from, so checking against it cannot catch a slip made during the reduction: a wrong reduced matrix and the triple climbed out of it agree with each other by construction. The original equations were never part of that chain, so they can catch such a slip.
All three balance, so the triple solves the system that was actually asked about.
Part C
Start with the climb. Row-echelon form puts each row's pivot strictly to the right of the pivot above it, so every entry below a pivot is zero. Reading a row back as an equation, its variables are the one in its own pivot column together with any in columns further right. When every variable column carries a pivot, as it does here, those further-right columns are exactly the pivot columns of the rows below, so their variables are already in hand by the time the climb reaches this row.
So the bottom nonzero row mentions one unknown and settles it outright. Moving up one row brings in exactly one column that was not available before, so that row is again an equation in one unknown once the known values are substituted. That is what makes the climb never stall, and it is also why it cannot start at the top: the first row mentions all three unknowns at once and settles none of them.
The pivot in every variable column is doing real work in that argument. Take it away and a bottom row reading still holds two unknowns, so zeros below the pivots are not on their own enough. The general rule keeps the shape but needs one preliminary step: give a parameter to each variable whose column carries no pivot, and then every pivot row determines exactly one unknown on the way up, namely its own pivot variable.
Now the downward pass. A stage picks a pivot column, secures a nonzero entry in the pivot position, swapping a lower row up if the position holds a zero, or moving on to the next column when no lower row has a nonzero entry there either, and then clears every entry below whatever pivot it secured. What has been settled is never disturbed afterwards, because every later operation adds a multiple of a row that already carries zeros in the cleared columns, and adding zeros puts nothing back.
The quantity that advances is the pivot column the pass has reached. Each stage moves it at least one column to the right, and it can never move past the last variable column, so a system in variables is finished in at most stages, each of them a fixed, finite amount of arithmetic. That bound, rather than experience with small examples, is what makes row reduction something you could hand to a machine and know it would stop.
In one line
The augmented matrix reduces by , , and to , and climbing it gives , , , a triple that satisfies all three original equations. The climb must start at the bottom because this matrix has a pivot in every variable column and every entry below a pivot is zero, so each row met on the way up contains exactly one unknown not already found. The downward pass terminates because each stage settles one more pivot column and moves strictly to the right, and a system in variables has only variable columns to work through.
Rubric
Mark your own paper against this. Give yourself the points for each element you actually wrote down, not the ones you meant to.
Part A 6 points
Writes the augmented matrix, constants behind the bar, before operating on anything. . Worth 1 point.
Names each operation in the R_i to R_i + cR_j or R_i to kR_i form, rather than describing the move only in words. . Worth 2 points.
Applies each operation to every entry of its row, the constant included, and finishes on a matrix whose pivots step strictly to the right. . Worth 3 points.
Part B 5 points
Starts at the bottom row and works upward, solving exactly one new unknown per row. . Worth 2 points.
Reports the solution as an ordered triple, in the variable order the columns were written in. . Worth 1 point.
Substitutes into all three ORIGINAL equations, showing each side agreeing, rather than checking against the reduced matrix. . Worth 2 points.
Part C 5 points
Names the structural feature of the echelon matrix that produces the one-new-unknown-per-row property, and uses it to explain why the climb starts at the bottom. . Worth 3 points. needs an explanation, not just an answer
Names a quantity that advances at each stage of the downward pass and the finite ceiling it runs into, concluding with a bound on the number of stages. . Worth 2 points. needs an explanation, not just an answer
Try a similar problem (Optional)
Same idea, different numbers. Work it on paper, then check yourself the same way.
Solve , , by row reduction: write the augmented matrix, name each operation, reach row-echelon form, back-substitute, and check the triple in all three original equations.
The answer
, reached from the echelon matrix and confirmed in all three original equations.
The augmented matrix is
Clear column 1 with the top pivot, constants included: and .
Scaling row 3 by before clearing keeps the numbers small, and its constant follows the same factor: becomes .
Now clear column 2 with row 2's pivot, taking the constant to .
A last scaling by makes the pivot a and gives . Row 2 then reads , so , and row 1 reads , so .
Checking the triple in the originals: , then , then .
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3. A row operation applied to only half a row . Reasoning, 17 points. Question 3 of 5.
Devon solves the system , by row reduction. He writes the augmented matrix , applies , and reports .
- Part A.
Devon's bottom row is not what produces. Carry the operation out across the whole row, state which of his entries are right and which is not, and write the row the operation actually gives. Then name the operation that would undo it.
Find and correct the error Say which line first goes wrong, why it is wrong, and then do it correctly. 5 points
- Part B.
Solve Devon's reported matrix exactly as it stands and report the pair it gives. Test that pair in both equations of the ORIGINAL system, saying what each test shows. Then solve the original system correctly.
Solve and show your work Write each step out, and end with the value and its units. 6 points
- Part C.
Explain why the pair from Devon's matrix satisfies the first original equation and fails only the second. Then decide whether his bottom row is an equation that the original system entails at all, and justify your decision.
Justify your claim State the claim, then give the reason it has to be true. 6 points
Hints
One at a time, each one a step further than the last. Take only as many as you need.
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Hint 1 of 4
Exactly one of the two rows was rewritten. That single fact decides which equation is capable of exposing a slip and which one is powerless to.
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Hint 2 of 4 · Part A
Work along the row position by position, right-hand side included, and compare each number you get with the corresponding number in the reported row.
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Hint 3 of 4 · Part B
Take the reported matrix seriously before judging it: read its bottom row as an equation, solve, climb, and only then start substituting.
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Hint 4 of 4 · Part C
Ask which multiples of the two original equations could leave alone on the left. Once those multipliers are forced, so is the number on the right.
That is every hint for this question.
Answer and solution
Check your answer first. If it is wrong, go back to your paper: the worked solution will still be here.
The answer
Part A
His two coefficient entries are right and the constant is not: it is the original , carried over untouched, where the operation gives . The row is , and undoes it.
Part B
Devon's matrix gives , which satisfies the first original equation but turns the second into . Solved correctly, the system gives .
Part C
Row 1 was never touched, so it is still the first equation and any pair read out of that matrix satisfies it; only the rewritten row can disagree with the system, and it does. The bottom row is not entailed: forcing a left side of forces the combination , whose right side is , not .
Not what you got? Look for the slip on your own paper before you open the solution. Finding it yourself is worth more than reading it.
Worked solution
Part A
A row operation is one instruction carried out on a whole row. The row is , the instruction is to subtract twice from it, and there are three entries to subtract from, not two.
Devon's first two entries, and , match. His third is the he started with, unchanged, so the constant is the entry the operation never reached.
Applied properly, the operation is reversible, and its inverse is the same move with the opposite sign: adds back exactly what was taken away and returns the matrix to the one he started with. That reversibility is what guarantees a correctly applied step neither gains nor loses solutions.
Part B
Take the reported matrix at face value first.
Its bottom row says , so , and the top row then gives
Test the pair in the two equations as they were originally written.
The first equation is satisfied exactly. The second demands and gets , so the pair is not a solution of the system, and one test out of two was enough to say so.
Now reduce correctly, carrying the constant along, so the bottom right entry is .
The bottom row gives , so , and the top row gives , so . The pair satisfies both originals: and .
Part C
Devon's operation rewrote row 2 and left row 1 exactly as it was. Whatever the new second row says, the top row is still the equation , and the climb reads off that very row, so any pair produced this way satisfies the first equation automatically. The first equation was never at risk and cannot detect the slip. Only the row that was rewritten can disagree with the system it came from, which is why the failure surfaces at the second equation and nowhere else.
Now ask what the reported row actually asserts.
A legal step replaces by a combination , so ask which combination could put alone on the left. Matching the terms needs and matching the terms needs , and those two conditions force and . There is exactly one candidate, namely , and its right-hand side is
So no combination of the two original equations yields . Devon's row is not a consequence of his system at all, which is precisely why a pair satisfying it need not satisfy the system, and why the check in part B failed. The moral is one line long: the multiplier that scales a row's coefficients scales its constant by the same amount, because the two are halves of a single equation.
In one line
The operation gives ; Devon updated the coefficients and left the constant at , and is the move that would undo the step. His matrix yields , which satisfies but sends to instead of ; the correct solution is . The first equation cannot expose the slip because its row was never altered, so the pair satisfies it by construction. The reported row is not entailed by the system either: the only combination of the two equations with on the left is , whose right-hand side is .
Rubric
Mark your own paper against this. Give yourself the points for each element you actually wrote down, not the ones you meant to.
Part A 5 points
Locates the single entry the operation failed to reach by recomputing every position of the row, rather than blaming a later step. . Worth 2 points.
Produces the corrected row, with the constant computed using the same multiplier as the coefficients. . Worth 2 points.
Gives an operation that returns the matrix to the one before the step, and says why it does. . Worth 1 point.
Part B 6 points
Solves the reported matrix on its own terms first, instead of correcting it and solving that. . Worth 2 points.
Substitutes the resulting pair into both ORIGINAL equations and reports which of the two it fails. . Worth 2 points.
Reports the correct solution of the original system. . Worth 2 points.
Part C 6 points
Attributes the pair's success in the first equation to that row never having been altered, not to luck or to the pair being partly right. . Worth 2 points. needs an explanation, not just an answer
Reaches a verdict on whether the reported row follows from the original system, and supports it with an argument about the original equations rather than with the wrongness of the answer alone. . Worth 3 points. needs an explanation, not just an answer
States the general moral in a form that can be checked on any future step. . Worth 1 point.
Try a similar problem (Optional)
Same idea, different numbers. Work it on paper, then check yourself the same way.
The same slip appears again. A classmate reduces , with and reports the bottom row . Write the row the operation actually produces, solve the system correctly, and check your solution in both original equations.
The answer
The operation gives , and the system's solution is , confirmed in both original equations.
Run the operation across all three entries of row 2, the constant included.
The coefficients were reported correctly and the constant was left at its starting value, so the true row is
That row says , so , and the top row gives , so .
Checking in the originals: and .
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4. The same grid, next month's numbers . Application, 22 points. Question 4 of 5.
A roaster blends three beans, A, B and C, into one batch. Bean A costs 9 dollars per kilogram, bean B costs 12 dollars per kilogram, and bean C costs 15 dollars per kilogram. This month's batch weighs 30 kilograms, the beans in it cost 348 dollars altogether, and the blend carries 2 kilograms more of bean B than of bean C. Write , and for the number of kilograms of each bean in the batch.
- Part A.
Turn the three conditions into three equations in , and , and write the augmented matrix with the columns in the order , , .
Model the situation Name your unknown first, then write every other quantity in terms of that one letter. 4 points
- Part B.
Reduce the matrix to row-echelon form, naming each operation as you use it, then back-substitute. Report how many kilograms of each bean the batch holds, and check the three amounts against all three conditions in the stem.
Solve and show your work Write each step out, and end with the value and its units. 6 points
- Part C.
Next month the roaster keeps the same three beans at the same prices and the same rule relating beans B and C, but orders a 45 kilogram batch costing 510 dollars. Say which entries of the augmented matrix change and which do not, then run the operations you recorded in part B on the new matrix and report the new blend.
Carry your own answer forward Replay whichever sequence of operations you recorded in part B; if you did not record one, reduce the new matrix from the start in the same way.
Solve and show your work Write each step out, and end with the value and its units. 6 points
- Part D.
Is the recorded sequence still guaranteed to reduce the matrix if one of the PRICES changes? Decide, and support your decision with the case where bean B costs 9 dollars per kilogram and nothing else changes. Then state the rule in the direction your evidence actually supports.
Justify your claim State the claim, then give the reason it has to be true. 6 points
Hints
One at a time, each one a step further than the last. Take only as many as you need.
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Hint 1 of 4
The grid splits into two parts that behave very differently when the order changes: the numbers that decided which operations to use, and the numbers those operations were then applied to.
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Hint 2 of 4 · Part A
Three conditions give three rows, and one bean never appears in the last condition. Give it an entry in that row anyway.
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Hint 3 of 4 · Part C
Compare the two grids entry by entry before doing any arithmetic at all, and ask how much of last month's work is still valid.
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Hint 4 of 4 · Part D
A multiplier like 'subtract 3 times row 1' was picked to knock out one particular entry. Ask what that same multiplier does to a row whose entries have moved.
That is every hint for this question.
Answer and solution
Check your answer first. If it is wrong, go back to your paper: the worked solution will still be here.
The answer
Part A
, and , giving .
Part B
kg, kg and kg: they weigh 30 kg together, cost 348 dollars, and bean B exceeds bean C by 2 kg.
Part C
Only the constant column changes, from , , to , , , while all nine coefficient entries stay put. The same operations give kg, kg and kg.
Part D
No. With bean B at 9 dollars the recorded sequence leaves row 2 leading in column 3 and row 3 leading in column 2, which is not echelon form, so a swap is needed. Unchanged coefficients guarantee the sequence still works; a changed coefficient does not guarantee that it fails.
Not what you got? Look for the slip on your own paper before you open the solution. Finding it yourself is worth more than reading it.
Worked solution
Part A
Name the unknowns as the stem does: , and kilograms of the three beans. Each condition becomes one equation.
The batch weight adds the three amounts.
The cost multiplies each amount by its own price per kilogram and adds the results.
The last condition compares two of the amounts and never mentions bean A.
Encoding with the columns in the order , , , the third row needs a in the column. Bean A is absent from that condition, and the column has to stay open so that the and the land under and rather than sliding left.
Part B
Scaling the cost row first keeps the arithmetic small, and the move is legal because is not zero.
Now clear column 1 with the top pivot, constant included: .
Column 2's pivot is that new , and the below it in row 3 clears by subtraction, with behind the bar.
One more scaling makes the last pivot a .
The matrix is triangular.
Back-substitute. The bottom row gives . Row 2 reads , so . Row 1 reads , so .
Check against the conditions as stated, not against the reduced matrix. The weights give kilograms. The cost gives dollars. And bean B beats bean C by kilograms.
Part C
Write the new matrix beside the old one. The three prices are unchanged, the weight condition still adds the three amounts, and the rule relating beans B and C is untouched, so every entry to the left of the bar is identical. Only the numbers behind it move, and the third one does not even do that.
Every multiplier used in part B was chosen by looking at coefficient entries: because the cost row divides by , then to knock out the sitting under the leading , then to knock out the under the second pivot, and finally because the last pivot had come out as . Not one of those four choices consulted a constant, so the same four operations apply unchanged, and only the constant column has any new arithmetic in it.
Back-substituting gives , then , then .
Checking against next month's order: kilograms, dollars, and kilograms.
Part D
There is no guarantee. Run the recorded sequence on the coefficients with bean B at dollars, so the cost row starts as .
The multiplier was chosen to clear the entry under the leading , and it still clears that entry, but this time it clears the second column too, so the pivot the third operation was counting on is not there. Carrying on regardless, gives and gives , leaving the coefficient part as
Row 3's leading entry sits in column 2, to the left of row 2's leading entry in column 3, so this is not row-echelon form. Swapping the last two rows repairs it, but a swap is a fifth operation, not one of the four that were recorded.
Be careful which way this cuts. Leaving every coefficient alone is enough to guarantee the recorded sequence still reduces the matrix, which is what part C relied on. The converse is false: a coefficient can change and leave the sequence perfectly good. Price bean C at dollars instead, and the same four operations give the rows , and , which is still triangular. So the safe statement runs one way only: leave the coefficients alone and the sequence is guaranteed, change one and it has to be checked.
In one line
The conditions give , and , whose augmented matrix reduces by , , and to give , and kilograms, which meet all three conditions. Next month's order changes only the constant column, to , and , so the same four operations replay unchanged and give , and kilograms. A price change is different: with bean B at 9 dollars the recorded sequence ends with row 3 leading to the left of row 2, so the result is not echelon form and a swap is needed. Unchanged coefficients guarantee the sequence still works, but a changed coefficient does not guarantee that it fails, as bean C at 18 dollars shows.
Rubric
Mark your own paper against this. Give yourself the points for each element you actually wrote down, not the ones you meant to.
Part A 4 points
Writes one equation per condition, with the cost equation weighting each amount by its own price. . Worth 2 points.
Keeps the same column layout in every row, so a condition that never mentions one bean does not shift its remaining entries left. . Worth 2 points.
Part B 6 points
Reaches an echelon matrix, applying every operation across the whole row with the constants carried along. . Worth 3 points.
Reports each amount in kilograms, attached to the right bean. . Worth 1 point.
Checks the amounts against the weight, the cost and the comparison from the stem, not only against the reduced matrix. . Worth 2 points.
Part C 6 points
Says which entries the new order changes and which it leaves, comparing the two grids entry by entry before any arithmetic. . Worth 2 points.
Replays the recorded sequence on the new matrix instead of choosing fresh multipliers from scratch. . Worth 2 points.
Reports the new blend as kilograms of each named bean. . Worth 2 points.
Part D 6 points
Answers the question that was asked, about the recorded sequence, rather than whether the changed system can be solved at all. . Worth 1 point.
Runs the recorded operations on the changed coefficients and reports the matrix they leave, naming what disqualifies it. . Worth 3 points.
States the rule in the one direction the evidence supports, resisting the biconditional, and says what would restore the reduction. . Worth 2 points. needs an explanation, not just an answer
Try a similar problem (Optional)
Same idea, different numbers. Work it on paper, then check yourself the same way.
The same roaster, the same three prices and the same kind of comparison: a 40 kilogram batch costing 462 dollars, carrying 4 kilograms more of bean B than of bean C. Write the augmented matrix and reduce it to find the blend.
The answer
kg of bean A, kg of bean B and kg of bean C.
The conditions give , and .
Scaling the cost row by gives , and then gives behind the bar.
Clearing column 2 gives behind the bar, and scaling by finishes the reduction.
So , then , then . Checking: kilograms, dollars, and kilograms.
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5. Two systems that differ in one number . Reasoning, 24 points. Question 5 of 5.
Two systems, identical except for one constant. System I is , , . System II is those same three equations with the third one's right-hand side changed from to .
- Part A.
Write System I's augmented matrix, using the column order , , , and reduce it, naming each operation. Report the matrix you finish on and say how many of the three variable columns end up carrying a pivot.
Write the expression An equation or an expression is enough here. Show how you built it. 5 points
- Part B.
Report System I's whole solution set as a family, giving a parameter to the variable whose column carries no pivot. Then substitute the family into all three ORIGINAL equations and show each one holding for every value of the parameter.
Carry your own answer forward Parameterize from your own reduced matrix in part A, whichever variable column your reduction left without a pivot.
Write the expression An equation or an expression is enough here. Show how you built it. 7 points
- Part C.
Now reduce System II, whose only difference from System I is that third constant. Report the row the reduction ends on, translate it back into an equation, and give System II's solution set.
Explain what it means Words, not just symbols. Say what the number is telling you about the situation. 4 points
- Part D.
Here is a proposed shortcut: "If reducing a system produces a row whose coefficient entries are all zero, the system has infinitely many solutions." Test the claim in both directions. Give a system that refutes it as stated, and a system with infinitely many solutions whose reduction produces no such row at all. Then state a corrected rule.
Construct a counterexample Give one specific case, and show it breaks the claim. 8 points
Hints
One at a time, each one a step further than the last. Take only as many as you need.
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Hint 1 of 4
Both systems run through the identical sequence of operations, since their coefficient entries agree. Only one column can come out differently, and everything turns on what lands in it.
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Hint 2 of 4 · Part A
After column 1 is cleared in System I, look hard at rows 2 and 3 before doing anything else. That coincidence is the whole story.
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Hint 3 of 4 · Part B
A variable whose column never earns a pivot is not determined by the system. Name it with a letter and write the others in terms of that letter.
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Hint 4 of 4 · Part D
A claim of the form 'this feature implies that count' needs two separate tests: one system with the feature and the wrong count, and one with the right count and no feature.
That is every hint for this question.
Answer and solution
Check your answer first. If it is wrong, go back to your paper: the worked solution will still be here.
The answer
Part A
, with pivots in the and columns and none in the column: two of the three.
Part B
With , the family is for every real . Substituted into the three originals, every term cancels and the left sides come out as , and .
Part C
The reduction ends on , which reads . Nothing satisfies that, so System II has no solution and its solution set is empty.
Part D
Both directions fail. System II's reduction ends on an all-zero coefficient row and has no solution, and with has infinitely many solutions with no such row anywhere. What decides the count is whether a contradiction row appears and whether some variable column lacks a pivot.
Not what you got? Look for the slip on your own paper before you open the solution. Finding it yourself is worth more than reading it.
Worked solution
Part A
The third equation has no term, so its column holds a .
Clear column 1 with the top pivot, carrying the constants: and .
Rows 2 and 3 have come out identical, constants included, so clearing column 2 empties the last row completely.
The column carries a pivot in row 1 and the column carries one in row 2. The column carries none, so two of the three variable columns have pivots. Counting by column rather than by row is what matters here, since the count of pivots is what will decide the shape of the answer.
Part B
The column carries no pivot, so nothing in the reduced system pins down. Give it a parameter.
Row 2 reads .
Row 1 reads , and both other values are now expressions in .
So the solution set is the family , one point for each real : a whole line of solutions rather than a single point. Reporting one sample point, or reporting only the words "infinitely many", would leave the set undescribed.
Now check it in the three original equations. Each has to hold for every , so the terms must cancel in each one.
Every parameter term cancels in all three, so every member of the family solves the original system, not merely the sample you would get from one value of .
Part C
System II has exactly the same coefficients, so the same three operations run in the same order, and only the constant column can come out differently. Clearing column 1 gives in row 2 as before, and in row 3.
Now empties row 3's coefficients exactly as it did before, but the constant is .
Read that last row back as an equation before judging it.
No values of , and make that true. Since row operations neither add solutions nor lose them, every solution of System II would have to satisfy this row, so System II has none: its solution set is empty. One constant moved by and the answer went from a line of solutions to nothing at all.
Part D
Test the claim in the direction it is stated first. System II's reduction ends on a row whose coefficient entries are all zero, which is the feature the claim names, and its solution set is empty.
So the feature does not deliver infinitely many solutions, and the two systems in this question refute the claim between them: the same all-zero coefficient row appears in both reductions, and one system has a line of solutions while the other has none. What separates them is the entry behind the bar, which the claim never mentions.
Now test the converse, that infinitely many solutions require such a row. They do not.
This matrix is already in row-echelon form and has no zero row anywhere, yet the column carries no pivot. Setting gives and then , so the family is infinite. A system with fewer equations than unknowns can simply run out of pivots without ever producing a zero row.
One more case shows a corrected rule needs both of its halves. In row-echelon form a fully zero row sinks below any contradiction row, so a reduction can end on and then : that pair carries a fully zero row and still has no solution, because the contradiction row overrides it.
So the corrected rule is this: once the matrix is in row-echelon form, the solution set is infinite exactly when no row reads with and at least one variable column carries no pivot. Both directions of that one hold. If a variable column has no pivot and no row contradicts, the variable is free and every value of it gives a solution; and if the set is infinite, the system is consistent, so no row contradicts, while some column must lack a pivot, since a pivot in every column would pin every variable to one value. A zero row records a redundant equation; whether the solution set is infinite is decided by consistency together with whether every variable column has a pivot.
In one line
System I reduces to , with pivots in the and columns only, so is free and the solution set is the family , which checks in all three original equations for every . Changing that third constant to leaves every coefficient alone and sends the last row to , the equation , so System II has no solution. The proposed shortcut fails both ways: System II has the all-zero coefficient row and no solutions, while with has infinitely many and no such row. Corrected: once the matrix is in row-echelon form, the count is infinite exactly when no row reads with and some variable column carries no pivot.
Another way: Spot the dependence before reducing anything
Add the first two equations of System I: gives , since the terms cancel. That is exactly System I's third equation, so the third row was entailed by the first two before any reduction started, which is why it vanishes. In System II the same combination still forces , while the third equation insists on , so the two demands collide and no triple can meet both.
When it is worth it When a third equation looks as though it might be a sum or difference of the other two: it tells you which of the two endings you are heading for, and why, before you spend any arithmetic on the reduction.
Rubric
Mark your own paper against this. Give yourself the points for each element you actually wrote down, not the ones you meant to.
Part A 5 points
Writes a 0 in the z column of the third row rather than shifting that row's entries left. . Worth 1 point.
Clears column 1 with the top pivot and column 2 with the second pivot, carrying the constants through every operation. . Worth 3 points.
Counts pivots by variable column rather than by row, and names which column has none. . Worth 1 point.
Part B 7 points
Gives the parameter to the variable whose column has no pivot, and solves the pivot variables in terms of it. . Worth 3 points.
Reports the whole family rather than a single sample point or the bare words infinitely many. . Worth 2 points.
Substitutes the family into all three original equations and shows the parameter terms cancelling in each. . Worth 2 points.
Part C 4 points
Carries the changed constant through the same operations and reaches the final row. . Worth 2 points.
Translates that row back into an equation before naming the solution set. . Worth 2 points.
Part D 8 points
Refutes the claim as stated with a specific system carrying the feature the claim names and a count the claim does not predict. . Worth 3 points.
Settles the converse with a specific system whose count is the one the claim promises but which lacks the feature the claim requires. . Worth 3 points.
States a corrected rule carrying both of its conditions, rather than repairing only the direction that failed first. . Worth 2 points.
Try a similar problem (Optional)
Same idea, different numbers. Work it on paper, then check yourself the same way.
Systems III and IV share the equations and , and differ in a third equation : System III has and System IV has . Reduce each and report its solution set.
The answer
System III is dependent, with solution set for every real . System IV ends on and has no solution.
The coefficients are the same in both, so one reduction covers both, with the constants tracked separately. Clearing column 1 gives in row 2 and in row 3.
Rows 2 and 3 now have identical coefficients, so empties row 3, leaving behind the bar.
For System III, makes that row entirely zero. The column has no pivot, so , then from row 2, and from row 1. Checking in the third original equation: .
For System IV, makes the row , which reads .
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