Step 1: Understanding the system.
The system is described by the relationship \( y(t) = x(e^t) \). We can analyze this system by checking its linearity and causality:
- Linearity: A system is linear if it satisfies the principles of superposition and scaling. The system equation \( y(t) = x(e^t) \) is a linear operation as long as \( x(t) \) is a linear function, since the transformation from \( t \) to \( e^t \) is a simple function and does not violate linearity.
- Causality: A system is causal if the output at any time \( t \) depends only on the current and past values of the input, i.e., \( y(t) \) should depend only on values of \( x(t') \) for \( t' \leq t \). In this case, \( y(t) \) depends on \( x(e^t) \), which is a future value of \( x(t) \) since \( e^t>t \) for \( t>0 \). Therefore, the system is non-causal.
Step 2: Conclusion.
The correct answer is (B) because the system is linear but non-causal.