I think I know a way to do this, but it has been a while:
Let's call this matrix A; to compute it's inverse, we shall use the formula A^(-1)=adj(A)/det(A).
I won't do the tedious calculations, but in order to simplify things, use the formula sin^2 t + cos^2 t =1 when doing this by hand.
To find the adj matrix (adjoint matrix), we first find the cofactors of each element in the matrix and replace the element with the cofactor, alternating signs from positive to negative, back and forth; we then take the transpose of the resulting matrix.
A cofactor is the determinant of the matrix obtained when removing the row and column the element is in for that element.
Ex, if matrix B is a b c
d e f
g h i
The cofactor of a is the determinant of the matrix e f or ei-fh
h i
since that is the matrix obtained by discarding the row and column a is in.
So we are inserting these cofactors in a matrix with alternating signs
ex:
call the cofactors c1, c2,..., c9, corresponding to a,b,....i in matrix B from above.
We will enter the cofactors into a matrix like this:
+c1 -c2 +c3
-c4 +c5 -c6
+c7 -c8 +c9
So let's do those two steps:
we have cofactors 2cost, 0, -2sint, 0, 1, 0, 2sint, 0, 2cost
we enter them into our matrix changing signs where necessary:
2cost (-)0 -2sint
(-)0 1 (-)0
2sint (-)0 2cost
Now in order to get adjA, we must take this matrix and transpose it, aka for every row (i) make it column (i), so row1->col1, row 2-> col 2, etc
we get:
2cost 0 2sint
0 1 0
-2sint 0 2cost
and that is adjA!
Finally we divide adjA by the detA, which is 2, to get our inverse:
cost 0 sint
0 .5 0
-sint 0 cost
Done!
I hope this is all correct and that, furthermore, everyone understood it.
-Shri