Obtaining bayesian error rate

I am new to machine learning and i have derived general expressions for bayes decision boundary and trying to plot the graph for mu=1 and sigma^2=2; Trying to plot a figure which contains both class conditional pdfs p(x|ωi) and posterior probabilities p(ωi|x) with the location of the optimal decision region. I should also obtain the bayes error rate for it. Can someone please help me? This is what i have tried so far:

%Plott Class-Conditional
fplot( @(x) ( (1/sqrt(2*pi)) * exp(- (x.^2)/2) ) ,'Linewidth',2);
hold on;
fplot( @(x) ( (1/(2* sqrt(pi)))     * exp( - (x.^2 - 2*x +1)/4) ) ,'Linewidth',2);
hold off;
legend({'P(x|w1)','P(x|w2)'}, 'FontSize',14)
xlabel('x' ,'FontSize', 12)
ylabel('p(x|wi)' , 'FontSize', 12)
title('Graph of class conditional pdfs p(x|wi)', 'FontSize', 14)

%Plott Posterior
 fplot(@(x) ( ((1/sqrt(2*pi)) * exp(- (x.^2)/2))/( ((1/sqrt(2*pi)) * exp(- (x.^2)/2)) + ((1/(2* sqrt(pi)))  * exp( - (x.^2 - 2*x +1)/4)) )  )  )
 hold on;
 fplot(@(x) ( ((1/(2* sqrt(pi)))     * exp( - (x.^2 - 2*x +1)/4)) / ( ((1/(2* sqrt(pi)))     * exp( - (x.^2 - 2*x +1)/4)) + (( (1/sqrt(2*pi)) * exp(- (x.^2)/2)) ) )))
 hold off;

[Massimo Zanetti]

I am trying to get. It seems you have two Gaussian distributions, one is given by parameters MU=1 and SIGMA^2=2. What about the other one?

The optimal decision is given by the point where the two curves intersect, and error rate correrponds to the overlapping areas of the two sub-graphs. Please, give me the parameters of the other Gaussian distribution.