Home

expHt

expHt denotes the matrix exponential of the product H t, where H is a square matrix (often a Hamiltonian in physics) and t is a scalar time parameter. It is defined by the convergent power series exp(H t) = sum_{n=0}^∞ (H t)^n / n!. This operator is central to solving linear systems and linear differential equations.

Notation and interpretation: exp(H t) is often written e^{H t}. In differential form, it is the unique

Key properties: If H is diagonalizable as H = P D P^{-1}, then exp(H t) = P exp(D t)

Computational approaches: For small matrices, direct series or diagonalization suffices. For general or large matrices, diagonalization

Applications: Widely used in solving linear ODEs, control theory, and quantum mechanics. In quantum physics, the

Example: If H = [[a, 0], [0, b]], then exp(H t) = diag(e^{a t}, e^{b t}).

solution
operator
to
dX/dt
=
H
X
with
X(0)
=
I,
giving
X(t)
=
exp(H
t).
In
physics,
exp(-i
H
t
/
ħ)
is
the
time-evolution
operator
for
a
time-independent
Hamiltonian.
P^{-1},
with
exp(D
t)
being
diag(e^{λ_i
t}).
If
H
is
Hermitian
and
t
is
real,
exp(H
t)
is
Hermitian
and
positive-definite;
if
H
is
skew-Hermitian,
exp(H
t)
is
unitary.
The
eigenvalues
of
exp(H
t)
are
e^{λ_i
t},
where
λ_i
are
the
eigenvalues
of
H.
or
Jordan
form
can
be
used
to
compute
exp(H
t);
for
sparse
or
large
systems,
scaling
and
squaring
combined
with
Padé
approximants
or
Krylov
subspace
methods
are
common.
time-evolution
operator
is
exp(-i
H
t
/
ħ).
In
dynamical
systems,
it
propagates
state
vectors
in
time.