Simulating a 2D Random Walk:
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Here is my 1D walk code:
N = 100; % Number of steps
single_trajectory = simulateRandomWalk(N);
figure
plot(0:N, single_trajectory, '-o')
title('1D Random Walk - Single Trajectory')
xlabel('Steps')
ylabel('Position')
P_values = [50, 500, 5000, 50000, 500000];
for p_index = 1:length(P_values)
P = P_values(p_index);
final_positions = zeros(1, P);
for i = 1:P
single_trajectory = simulateRandomWalk(N);
final_positions(i) = single_trajectory(end);
end
% Plot histogram of final positions
figure
histogram(final_positions, 'Normalization', 'probability')
title(['Histogram for P = ' num2str(P)])
xlabel('Final Position')
ylabel('Probability')
end
function trajectory = simulateRandomWalk(N)
% Initialize position
position = 0;
% Initialize trajectory array
trajectory = zeros(1, N+1);
trajectory(1) = position;
% Simulate random walk
for step = 1:N
% Generate a random number to decide left or right movement
move = randi([0, 1])*2 - 1; % -1 for left, 1 for right
% Update position
position = position + move;
% Store the current position in the trajectory array
trajectory(step+1) = position;
end
end

I need help converting the 1D code into a 2D random walk code as instructed your help is very much apprectiated.
1 commentaire
Walter Roberson
le 12 Déc 2023
Modifié(e) : Walter Roberson
le 13 Déc 2023
(which is a different poster asking the same thing)
Réponses (1)
Nipun
le 18 Déc 2023
Hi Ryan,
I understand that you have one dimensional random walk code and intend to modify the given snippet to yield a two dimensional random walk simulation.
Based on the function "simulateRandomWalk", I assume that for two dimensional random walk, the walker is free to move left, right, up, down
I will start by changing the "simulateRandomWalk" code to include position changes in Y-coordinate.
function trajectory = simulateRandomWalk(N, position)
%% the starting X and Y coordinates are in position structure
% position has properties: X, Y
% Initialize trajectory array
%% the trajectory is a structure with X and Y coordinates
trajectory.X = zeros(1, N+1);
trajectory.Y = zeros(1,N+1);
trajectory.X(1) = position.X;
trajectory.Y(1) = position.Y;
% Simulate random walk
for step = 1:N
%% Generate a random number to decide left, right, up, down
% generate a random number between 1 and 4
% 1 = left, 2 = right, 3 = up, 4 = down
pos = randi([1,4]);
switch pos
case 1
% left
position.X = position.X - 1;
case 2
% right
position.X = position.X + 1;
case 3
% up
position.Y = position.Y + 1;
case 4
% down
position.Y = position.Y - 1;
end
%% Store the current position in the trajectory array
% update both coordinates
trajectory.X(step+1) = position.X;
trajectory.Y(step+1) = position.Y;
end
Now, to plot the random walk, we can use "plot" function, similar to the one dimensional random walk.
% starting coordinates
start.X = 0;
start.Y = 0;
steps = 1000;
t = simulateRandomWalk(steps, start);
%% plot
% Indicate starting position with a circle
plot(0,0,'-ro');
hold on;
plot(t.X,t.Y,'-b');
title("Random walk with " + num2str(steps) + " steps")
Here's an output of the code:

Similarly, use the histogram function to map a histogram of "t.X" and "t.Y" . Hope this helps.
Regards,
Nipun
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