Example 25: Find with
Let
Find a matrix such that .
, , are , so is and must be . Let
. Equating the corresponding entries,
(ii) (i) (the terms cancel): . Then from (i), , so .
(iv) (iii) (the terms cancel): . Then from (iii), , so .
Want the reason behind every step, the basics and the checks?
An unknown matrix is just a grid of unknown numbers. Once we know its order, we write with letters for its entries, compute entry by entry, and use equality of matrices: means every entry of is 0. That gives four ordinary linear equations, which split into two independent pairs, one pair for each column of .
- Given
- , , , each of order , and the condition , where is a zero matrix.
- To find
- The matrix .
- Plan
- (1) Find the order of . (2) Compute . (3) Write with unknown entries and compute . (4) Set each entry of equal to 0. (5) Solve the two pairs of equations. (6) Check.
Basics you need
If is and is , then is . A product is defined only when the inner numbers match. Basics: pair up, multiply, add
Two matrices are equal when they have the same order and every pair of corresponding entries is equal. So a matrix equation of order is really four number equations. Basics: rows, columns and the address
Eliminate one unknown by making its coefficients equal and subtracting, then substitute back. Always check the solution in both original equations. Basics: solving equations, one unknown at a time
Matrices of the same order are subtracted entry by entry. Basics: adding only like with like
Solution
Work out the order of
and are , so is defined and is . For to be defined, must have the same order as , namely .
- is , so for to be defined, must have 2 rows (the columns of ).
- has as many columns as ; since must be , must have 2 columns.
So is a matrix. Write
The question does not say what size is, so we must deduce it before we can write it down. Each condition (the product is defined; the difference is defined) fixes one of the two numbers in the order. The letters are just names for the four unknown entries.Section 3.4.5 (when a product is defined and its order); Section 3.4.1 (a sum or difference needs equal orders). Lesson: matrix multiplicationCompute , entry by entry
Row of times column of :
contains no unknowns, so we compute it fully first. That keeps the equations in Step 4 simple.Compute , entry by entry
Row of times column of (column 1 of is ; column 2 is ):
Notice that column 1 of involves only and (column 1 of ), and column 2 only and . This is always so: column of a product depends only on column of . It is why the problem splits into two separate pairs of equations.Turn into four equations
Subtract entry by entry:
This equals the zero matrix, so by equality of matrices each entry is 0:
Two matrices are equal exactly when all corresponding entries are equal. The zero matrix has every entry 0, so we get one equation per position. Equations (1) and (2) involve only , ; equations (3) and (4) only , .Definition 2, Section 3.3.1 (equality of matrices). Lesson: equality of matricesSolve (1) and (2) for and
Rewrite them as and . To eliminate , multiply (1) by 3 and (2) by 2, so both have :
Subtract the first from the second: , so . Substitute into (1): , so and .
Check in (2): . Correct.
Multiplying so that one unknown has the same coefficient, and then subtracting, removes that unknown and leaves one equation in one unknown. Checking in the equation we did not substitute into catches arithmetic slips.Elimination method for two linear equations (Class X). Basics: solving equationsSolve (3) and (4) for and
Rewrite them as and . Multiply (3) by 3 and (4) by 2:
Subtract: . Substitute into (3): , so and .
Check in (4): . Correct.
The coefficients are the same as in Step 5, because both pairs come from multiplying by the same matrix . Only the right-hand sides differ.Assemble , check, and note that it is the only answer
Check by computing directly:
So every entry of equals the corresponding entry of , and :
Each pair of equations has exactly one solution, because the elimination in Steps 5 and 6 left (or ) with coefficient . So this is the only matrix with .
Substituting the answer back into the original condition is the surest check: it does not depend on how the equations were solved.
This is the unique matrix with . (The textbook solution gives the same .)
A different route to the same answer. The matrix with rows and satisfies : the entries of are , , , . Multiplying on the left by gives , whose entries are , , , . The same .
- Writing without finding its order. The order is not given; it has to be deduced from the requirement that and are defined.
- Multiplying in the wrong order. is not . In the rows of meet the columns of , giving , not .
- Sign slips in . , so , and , so .
- Not checking. Large values like look suspicious; substituting back shows they are right.
- To find an unknown matrix: fix its order, name its entries, multiply out, and compare entries.
- Column of depends only on column of , so the equations split by columns of .
- Here is " divided by on the left", that is, ; you will meet the systematic way to find in Chapter 4.
Every fact used, and where it comes from
| Fact | Used in | Source |
|---|---|---|
| Product defined when inner orders match; order | Step 1 | Section 3.4.5 (Lesson: matrix multiplication) |
| Difference needs equal orders; entrywise subtraction | Steps 1, 4 | Section 3.4.1 (Lesson: addition) |
| Entry rule for products | Steps 2, 3, 7; Check | Section 3.4.5 |
| Equality of matrices, entry by entry | Step 4 | Definition 2, Section 3.3.1 (Lesson: equality) |
| Elimination for two linear equations | Steps 5, 6 | Class X, pair of linear equations |
| and | Check | Section 3.7 (inverse), associative law Section 3.4.6 (Lesson: invertible matrices) |
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