Miscellaneous · Q5: Show
If
show that .
= RHS. Hence proved.
Want the reason behind every step, the basics and the checks?
A "matrix polynomial" is evaluated just like an ordinary one, term by term: means (a matrix product, worked out with row-times-column sums), multiplies every entry by 5, and is the matrix with 7 on the diagonal and 0 elsewhere. All three are , so they can be combined entry by entry, and every entry comes out 0. (The "0" on the right is the zero matrix O.)
- Given
- The matrix A above; I is the identity.
- To show
- , the zero matrix.
- Plan
- (1) Compute , entry by entry. (2) Compute and . (3) Combine the three matrices entry by entry. (4) Check.
Basics you need
The entry of is row of A times column of B. means , not "square every entry". Basics: pair up, multiply, add
multiplies every entry of A by . Basics: adding only like with like
has 1 in both diagonal positions and 0 in the other two, so has 7 on the diagonal and 0 elsewhere. Basics: identity and undo
Matrices of the same order are added (or subtracted) entry by entry. Lesson: addition and scalar multiplication
Solution
Compute
A is , so is : defined, of order . The rows of A are and ; its columns are and .
Each entry pairs one row of the first factor with one column of the second. The sign in needs care: it has two negative terms, and . Squaring each entry instead would give rows and , which is not .Entry formula of Section 3.4.5. Basics: pair up, multiply, addCompute and
I is taken of order 2 so that has the same order as and ; otherwise the sum would not be defined. The identity plays the role of the number 1 in an ordinary polynomial: the constant term 7 becomes .Section 3.4.2: . Lesson: addition and scalar multiplicationCombine entry by entry
All three matrices are , so is defined. Take each position in turn:
This is what we had to show. (The book prints the right side as 0; it means the zero matrix O.)
Subtracting means adding , so in position we subtract , which is the same as adding 5. A sign slip here is the most common way to get a non-zero entry.Addition and subtraction of matrices of the same order, Section 3.4.1. Basics: adding only like with like
and has every entry equal to 0, so . (Proofs have no entry in the answer key.)
A neat independent check: for any matrix with rows and , expanding the products shows
Here and , exactly the numbers 5 and 7 in the question ✓. (This general fact is beyond the syllabus of this chapter; the verification script checks it symbolically, and the direct computation above does not depend on it.)
- Squaring each entry to get . Matrix squaring is a product .
- Writing 7 instead of . A number cannot be added to a matrix; the constant term must be a matrix of the same order.
- Sign errors in or in .
- To evaluate a polynomial in A: compute the powers by multiplication, scale, replace the constant by , and combine entry by entry.
- The same technique appears in Example 18 and Exercise 3.2 Q15.
- Write out and in full before combining; most errors happen when several operations are done in one go.
Every fact used, and where it comes from
| Fact | Used in | Source |
|---|---|---|
| Product of matrices, entry formula | Step 1 | Section 3.4.5 (Lesson: matrix multiplication) |
| Scalar multiple | Step 2 | Section 3.4.2 (Lesson: addition and scalar multiplication) |
| Identity matrix | Step 2 | Section 3.3 (vi) (Lesson: types of matrices) |
| Sum and difference of matrices | Step 3 | Section 3.4.1 |
| for A | Check | Verified symbolically in the site's verification script (not from this chapter) |
| All matrices | Steps 1–3 | Recomputed with sympy in the site's verification script |
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