  This paper deals with symmetric random matrices whose upper diagonal entries
are obtained from a linear random field with heavy tailed noise. It is shown
that the maximum eigenvalue and the spectral radius of such a random matrix
with dependent entries converge to the Frech\'et distribution after appropriate
scaling. This extends a seminal result of Soshnikov(2004) when the tail index
is strictly less than one.
