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YEAR 12 · MATRIX MODELS · 16 MIN

Long-term behaviour and steady states

Solve a steady-state equation and distinguish a fixed distribution from convergence.

In this lesson

Before you start
  • Transition matrices
  • Simultaneous equations
01 / LEARN

Understand the idea.

Equilibrium balances the flows

A steady state satisfies T⁢s=s: one transition leaves the category totals unchanged. Individuals can still move, but inflow and outflow balance. Use the total population as well as balance equations to determine the actual counts.

In a closed two-state model, one independent balance equation plus the total is enough; the other balance equation repeats the same information. A steady distribution need not divide the population equally, because the two transfer rates may differ.

Fixed does not always mean attracting

Finding a fixed distribution and proving convergence to it are different questions. Repeated multiplication can investigate a particular forecast, but matching rounded displays alone does not prove that every starting distribution approaches the same limit.

A swap matrix fixes an equal split while making unequal starting states alternate forever. The identity fixes every state. Solve the steady-state equations first, then separately examine the dynamics and whether constant transition assumptions remain appropriate.

02 / WORKED EXAMPLES

See the method in action.

EXAMPLE 01

Commuting choices

Rows are (0.7,0.2),(0.3,0.8). Find steady counts for 250 commuters.

Worked solution

  1. 1

    Write the A balance equation.

    a=0.7⁢a+0.2⁢b0.3⁢a=0.2⁢b3⁢a=2⁢b

    At equilibrium, commuters leaving A balance those entering A from B.

  2. 2

    Use the fixed population total.

    a+b=250a+32a=250a=100,b=150

    The balance ratio a:b=2:3 divides 250 commuters into five equal parts.

  3. 3

    Verify both destination counts.

    (0.7⁢(100)+0.2⁢(150)0.3⁢(100)+0.8⁢(150))=(100150)

    The forecast equals the starting state and the counts total 250.

Answer

(100,150).

EXAMPLE 02

Three-state balance

Find a steady state totalling 200 for the displayed matrix.

Columns=current, rows=next; order A,B,C.
Next / currentABC
A0.50.250
B0.50.50.5
C00.250.5

Worked solution

  1. 1

    Balance A using the first matrix row.

    a=0.5⁢a+0.25⁢ba=0.5⁢b

    The zero C-to-A entry contributes nothing to the first balance equation.

  2. 2

    Balance C using the third row.

    c=0.25⁢b+0.5⁢cc=0.5⁢b

    The third row relates the steady C count to B.

  3. 3

    Apply the total of 200.

    a+b+c=2000.5⁢b+b+0.5⁢b=200b=100,a=c=50

    Both outside states contain half as many members as B.

  4. 4

    Verify the complete three-state forecast.

    T(5010050)=(25+2525+50+2525+25)=(5010050)

    The middle balance equation also holds, so (50,100,50) is a steady state totalling 200.

Answer

(50,100,50).

03 / YOUR TURN

Try it yourself.

Check your understanding

How many fixed distributions total 100 under the identity matrix?

Show answer & reasoning

Infinitely many.

The identity leaves every state unchanged: I⁢(a,100−a)𝖳=(a,100−a)𝖳. With non-negative real state entries, every 0≤a≤100 is permitted, giving infinitely many fixed distributions.

Keep practising

6 worksheet questions · 19 marks

Read the questions online
  1. For rows (0.80.30.20.7), find steady proportions.
    3 marks
  2. Use the same model for 350 members. Find steady counts.
    3 marks
  3. For rows (0.90.40.10.6), find steady proportions.
    3 marks
  4. For the swap matrix, find steady proportions and explain the behaviour from (1,0).
    3 marks
  5. Find steady proportions for rows (0.50.2500.50.50.500.250.5).
    3 marks
  6. A closed model has steady counts (80,120) out of 200.
    4 marks
    1. (a)
      State the steady proportions.
      1 mark
    2. (b)
      Predict steady counts if the total doubles and the transition rule is unchanged.
      2 marks
    3. (c)
      Give one reason observed long-run counts might differ.
      1 mark
Read the worked solutions

Equivalent correct methods earn the corresponding marks. Include units where asked.

  1. For rows (0.80.30.20.7), find steady proportions.
    3 marks

    0.2⁢a=0.3⁢b and a+b=1.

    (0.6,0.4).
  2. Use the same model for 350 members. Find steady counts.
    3 marks

    Multiply (0.6,0.4) by 350.

    (210,140).
  3. For rows (0.90.40.10.6), find steady proportions.
    3 marks

    0.1⁢a=0.4⁢b and a+b=1.

    (0.8,0.2).
  4. For the swap matrix, find steady proportions and explain the behaviour from (1,0).
    3 marks

    Balance gives a=b.

    Applying the swap repeatedly never approaches that balance from (1,0).

    Steady (0.5,0.5); the specified start alternates (1,0),(0,1).
  5. Find steady proportions for rows (0.50.2500.50.50.500.250.5).
    3 marks

    The first and third equations give a=c=0.5⁢b.

    Normalise using 2⁢b=1.

    (0.25,0.5,0.25).
  6. A closed model has steady counts (80,120) out of 200.
    4 marks

    a) Divide by 200.

    b) Multiply the proportions by 400.

    c) The equilibrium prediction is conditional on its assumptions.

    1. (a)
      State the steady proportions.
      1 mark

      Divide by 200.

      (0.4,0.6).
    2. (b)
      Predict steady counts if the total doubles and the transition rule is unchanged.
      2 marks

      Multiply the proportions by 400.

      (160,240).
    3. (c)
      Give one reason observed long-run counts might differ.
      1 mark

      The equilibrium prediction is conditional on its assumptions.

      The system may open or transition behaviour may change.
    a) (0.4,0.6).; b) (160,240).; c) The system may open or transition behaviour may change.
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Curriculum reference & lesson scope

SACE Board of South Australia

Stage 2 General Mathematics matrix-models option. This is the offered fifth-topic option, alongside the four compulsory topics; a school-designed Open Topic is an alternative, not prescribed content in this chapter.

Official curriculum source ↗

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