Matrix addition. A+B adds A and B. A and B must
have the same dimensions, unless one is scalar.

Matrix subtraction. AB subtracts B from A. A and B must
have the same dimensions, unless one is scalar.
*
Matrix multiplication. A*B is the linear algebraic product of A and B.
The number of columns of A must equal the number
of rows of B, unless one is a scalar.
.*
Array multiplication. A.*B is the entrybyentry product of A and B. A and B must
have the same dimensions, unless one is scalar.
\
Matrix left
division. A\B solves the symbolic
linear equations A*X=B for X.
Note that A\B is roughly equivalent to inv(A)*B.
Warning messages are produced if X does not exist
or is not unique. Rectangular matrices A are allowed,
but the equations must be consistent; a least squares solution is not computed.
.\
Array left division. A.\B is the matrix with entries B(i,j)/A(i,j). A and B must
have the same dimensions, unless one is scalar.
/
Matrix right
division. B/A solves the symbolic
linear equation X*A=B for X.
Note that B/A is the same as (A.'\B.').'.
Warning messages are produced if X does not exist
or is not unique. Rectangular matrices A are allowed,
but the equations must be consistent; a least squares solution is
not computed.
./
Array right division. A./B is the matrix with entries A(i,j)/B(i,j). A and B must
have the same dimensions, unless one is scalar.
^
Matrix power. A^B raises the square matrix A to
the integer power B. If A is
a scalar and B is a square matrix, A^B raises A to
the matrix power B, using eigenvalues and eigenvectors. A^B,
where A and B are both matrices,
is an error.
.^
Array power. A.^B is the matrix with entries A(i,j)^B(i,j). A and B must
have the same dimensions, unless one is scalar.
'
Matrix Hermitian
transpose. If A is complex, A' is
the complex conjugate transpose.
.'
Array transpose. A.' is the real transpose of A. A.' does
not conjugate complex entries.
Examples
The following statements
syms a b c d
A = [a b; c d];
A*A/A
A*AA^2
return
[ a, b]
[ c, d]
[ 0, 0]
[ 0, 0]
The following statements
syms b1 b2
A = sym('a%d%d', [2 2]);
B = [b1 b2];
X = B/A;
x1 = X(1)
x2 = X(2)