definite integral in matlab

I want definite integral of equations c2 and pout as-:

z = ((1/gamma(m))*((m/T).^m))*(1/log10(2))
f = (y.^(m-1))*(log10(1+y))*(exp((-m*y)/T))
c2=z*int(f,0,2);
pout=((1/gamma(m))*((m/T).^m))*int(f,0,yth);%outage probability

and please give me help for definite integral in matlab theoretically also if possible.

[Walter Roberson]

We need to know which variable you wish to integrate f over.

Answer 1

[Dev-iL]

Hello,

Generally, if you want to calculate some integral analytically, you can use symbolic math. Here's an example:

syms x y
z=2*x+y+4;

If you want to know the antiderivative use:

Z=int(z,x)
Z =
 (2*x + y + 4)^2/4

Then you can evaluate this function at the limits using:

 subs(Z,x,<value to put instead of 'x'>)

or if you want to just get the result without going through the antiderivative, simply use:

Z=int(z,x,<lower bound>,<upper bound>)

Alternatively, if you want to calculate the integral numerically, you can use the MATLAB function quad (you can read about it in the MATLAB help files).

.

I hope this helps you,

Iliya.

Answer 2

[Walter Roberson]

If your variable of integration is y, and m and T are to remain symbolic (no definite value given for them before the integration), then you will have trouble finding an analytic integral. You effectively have a y^m term as part of f, and the integral of that part can look very different depending on m (especially m=0 or m=-1)

There is a transform you can do (in Maple at least) that converts the integral into an infinite sum. Not that it does you much good as you end up having to evaluate the infinite sum numerically. And the transform turns out not to be valid if m is integral.

Matters become much easier if you are given m before you do the integration.

If your m are strictly positive integer, then you might be able to work out the pattern. I can see that there is a pattern, but the rule for the the coefficients of the polynomials involved are not obvious.

Answer 3

[Moses]

How can I plot the analytical results of outage probability vs SNR