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1.6. Exercises

Exercise 1.6.1.

Write the 2×4 matrix A=(ai⁢j) where ai⁢j=2+i-2⁢j.

Exercise 1.6.2.

Let A∈M3⁡(ℝ) with coefficients  ai⁢j=2-i2+j for all 1≤i,j≤3.

  1. (i)

    Write down A.

  2. (ii)

    Calculate A3.

Exercise 1.6.3.

Calculate -2⁢A+3⁢B where A=(12-10-31),B=(042-240).

Exercise 1.6.4.

Let v=(123),w =(-321) and A=(01-12-13111). Calculate the scalar product v⋅w and the products A⁢v and A⁢w.

Exercise 1.6.5.

Let n≥1 be an integer and v,w∈ℝn. Write In for the identity n×n matrix. Prove that the scalar product

v⋅w is equal to the product of the matrices vt⁢In⁢w

where vt∈M1×n⁢(ℝ) is the transpose of v.

Exercise 1.6.6.

Calculate all possible products of pairs of elements (possibly equal) taken among the following matrices:

A=(1-11),B=(12),C=(2101) and D=(1-1).
Exercise 1.6.7.

Calculate all the possible products of pairs of elements (possibly equal) taken among the following matrices:

A=(04-1120) B=(2-5-1) C=(01102100)
D=(02000-1800) and E=(9-3).
Exercise 1.6.8.

Calculate all the products of two elements (possibly equal) taken among the following matrices:

A=(32-7)  B=(102-10)  C=(2-1031-4)  D=(12354321).
Exercise 1.6.9.

Verify that

A⁢(B⁢C)=(A⁢B)⁢C,A⁢(B1+B2)=A⁢B1+A⁢B2 and (B1+B2)⁢C=B1⁢C+B2⁢C

where

A=(1234),B=B1=(101020),B2=(111-1-1-1) and C=(123).
Exercise 1.6.10.

Let A=(01-11)∈M2⁡(ℝ).

  1. (i)

    Calculate A2,A3,A4,A5, and A6.

  2. (ii)

    Find the pattern, and state An for all n∈ℕ.

Exercise 1.6.11.

Let A=12⁢(1-331)∈M2⁡(ℝ).

  1. (i)

    Find A2,A3,A4,A5,A6, and A7.

  2. (ii)

    What is the pattern? Give an expression for An for all n∈ℕ.

Exercise 1.6.12.

Let B∈M4⁡(ℝ) with coefficients bi⁢j={0if i≥jj-iif i<j

  1. (i)

    Write down B.

  2. (ii)

    Calculate (B+Bt)2.

  3. (iii)

    Find the smallest positive integer n such that Bn is the zero matrix.

Exercise 1.6.13.

Let A=(12-320032120000-12-1200-1212).

  1. (i)

    Find the transpose At of A.

  2. (ii)

    Calculate A+At and A⁢At.

Exercise 1.6.14.

Let A∈Mn⁡(ℝ) for some n≥1.

  1. (i)

    Prove that the matrix (A+At) is symmetric, and that (A-At) is skew-symmetric.

  2. (ii)

    Find matrices B and C in M2⁡(ℝ) such that B is symmetric, C is skew-symmetric and B+C=(1201).

  3. (iii)

    For an arbitrary matrix A∈Mn⁡(ℝ), find matrices B and C in Mn⁡(ℝ) such that B is symmetric, C is skew-symmetric and A=B+C.

Exercise 1.6.15.

The trace of a square matrix A=(ai⁢j)∈Mn⁡(ℝ) is the sum

tr⁡(A)=∑1≤i≤nai⁢i of its diagonal coefficients. 
  1. (i)

    Calculate the trace tr⁡(In) of the identity matrix of size n.

  2. (ii)

    Let A,B∈Mn⁡(ℝ). Prove that tr⁡(A⁢B)=tr⁡(B⁢A).

Exercise 1.6.16.

Do there exist matrices A,B∈M2×2⁡(ℝ) such that A⁢B=0 and all of the coefficients of A and B are non-zero? If so, give an example of such matrices. If not, then give a proof.

Exercise 1.6.17.

Find at least two matrices A∈M2×2⁡(ℝ) which obey A2=(-1)⁢I2, where I2 is the 2×2 identity matrix.

Exercise 1.6.18.

Assume A is a 2×2 matrix obeying A2=I2, such that all four of its coefficients are integers. One such matrix is A=I2. Are there any other examples? Write down as many as you can. Can you prove you have found them all?

Exercise 1.6.19 (Jacobian matrix).

Given a smooth function F:ℝn→ℝm, in multivariable calculus the Jacobian matrix of F is the m×n matrix of partial derivatives: JF=(∂⁡Fi/∂⁡xj). For example, if F⁢(x,y)=(x2,x⁢y2) then

JF⁢(x,y)=(2⁢x0y22⁢x⁢y).

Write the Jacobian matrix of the following functions:

  1. (i)

    F⁢(x,y)=(x3⁢y,sin⁡y)  (JF∈M2×2⁡(ℝ))

  2. (ii)

    F⁢(x,y,z)=x⁢y⁢z  (JF∈M1×3⁡(ℝ))

  3. (iii)

    F⁢(x)=(x,x2,x3)  (JF∈M3×1⁡(ℝ))

Exercise 1.6.20 (Multivariable chain rule).

If F:ℝn→ℝm and G:ℝm→ℝp, then the chain rule in multivariable calculus says that the Jacobian matrix of G∘F at a point P∈ℝn is the matrix product of the Jacobians of G and F: JG⁢(F⁢(P))⋅JF⁢(P). This generalises the usual chain rule of single-variable calculus.

If F⁢(x,y)=(x2,y3) and G⁢(x,y)=(x⁢y,x+y), then use the multivariable chain rule to find the Jacobian matrix of G∘F. Check your answer by directly computing the Jacobian matrix of (G∘F)⁢(x,y)=(x2⁢y3,x2+y3)

Exercise 1.6.21.

Give an example of a square matrix A, of any size, such that A4≠0, but A5=0.

Exercise 1.6.22 (Exponential of a matrix).

Let A∈Mn⁡(ℝ) be a square matrix. We can define the exponential of a matrix to be the infinite series

eA:=1+A+A22!+A33!+A44!+⋯

This infinite series always converges to some square matrix. Find the matrix eA, when A is each of the following matrices:

  1. (i)

    (0000)

  2. (ii)

    (1001)

  3. (iii)

    (10000000-1)

  4. (iv)

    (1101)