Step 1: Gradient of a scalar field.
- Temperature \(T(x,y,z)\) and pressure \(P(x,y,z)\) are scalar fields.
- The gradient operator is defined as
\[
\nabla f = \left(\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}, \frac{\partial f}{\partial z}\right).
\]
Thus, \(\nabla T\) and \(\nabla P\) produce vectors pointing in the direction of maximum rate of change.
Therefore:
- Statement (A) is correct.
- Statement (B) is correct.
Step 2: Divergence of a vector field.
Velocity \(\vec{v} = (u,v,w)\) is a vector field. The divergence is defined as:
\[
\nabla \cdot \vec{v} = \frac{\partial u}{\partial x} + \frac{\partial v}{\partial y} + \frac{\partial w}{\partial z}.
\]
This is a scalar (net volumetric expansion per unit volume).
So, statement (C) is incorrect.
Step 3: Gradient of a vector field.
The gradient of a vector field is a second-order tensor (matrix of partial derivatives). For velocity,
\[
\nabla \vec{v} =
\begin{bmatrix}
\frac{\partial u}{\partial x} & \frac{\partial u}{\partial y} & \frac{\partial u}{\partial z}
\frac{\partial v}{\partial x} & \frac{\partial v}{\partial y} & \frac{\partial v}{\partial z}
\frac{\partial w}{\partial x} & \frac{\partial w}{\partial y} & \frac{\partial w}{\partial z}
\end{bmatrix}.
\]
This is not a scalar.
So, statement (D) is incorrect.
Final Answer:
\[
\boxed{\text{(A) and (B)}}
\]