We calculate the survival probability PS(t) up to time t of a tracer particle moving along a deterministic trajectory in a continuous d-dimensional space in the presence of diffusing but mutually noninteracting traps. In particular, for a tracer particle moving ballistically with a constant velocity c, we obtain an exact expression for PS(t), valid for all t, for d < 2. For d ≥ 2, we obtain the leading asymptotic behavior of PS(t) for large t. In all cases, PS(t) decays exponentially for large t, PS(t) ∼ exp(−θt). We provide an explicit exact expression of the exponent θ in dimensions d ≤ 2 and for the physically relevant case, d = 3, as a function of the system parameters.PACS numbers: 05.70. Ln, 05.40.+j, The calculation of the survival probability of a tracer particle moving in the presence of diffusing traps is a problem of long standing interest as it appears, in various guises, in a wide variety of contexts such as reactiondiffusion systems [1], chemical kinetics [2][3][4], predatorprey models [5] and 'walker persistence' problems [6]. The tracer particle dies instantly upon meeting any of the diffusing traps. Perhaps the simplest of all these problems is the case when the diffusing traps are noninteracting and the motion of the tracer particle is governed by its own intrinsic dynamics that depends on the specific problem. For example, if the tracer particle is static, this problem is known as the target annihilation problem [7]. Of particular interest is the case when the tracer particle itself has a diffusive motion, a problem that was first studied by Bramson and Lebowitz [8] and has recently seen a flurry of activity [9][10][11][12][13]. It is, however, somewhat frustrating that, despite various new developments, this diffusive target annihilation problem has defied a direct exact solution. In contrast, we show in this paper that the ballistic target annihilation problem, where the tracer particle moves ballistically with a constant velocity, is exactly solvable.A precise definition of the general problem is as follows. Consider a set of particles initially (at time t = 0) distributed randomly in a continuous d-dimensional space with average density ρ. Each of these particles subsequently undergoes independent diffusive motion with the same diffusion constant D. A tracer particle is introduced into the system at t = 0 at the origin and subsequently moves according to its own prescribed equation of motion. This motion can be either deterministic or stochastic, depending on the problem. For a given trajectory R 0 (t) of the tracer particle, we ask: what is the probability P S (t) that none of the random walkers hits the tracer particle up to time t? Evidently P S (t) depends implicitly on the trajectory R 0 (t). For a deterministic motion of the tracer particle where the trajectory R 0 (t) is prescribed, its survival probability is precisely P S (t). On the other hand, for stochastic motion of the tracer particle the survival probability is obtained by subsequently averaging P S (t) over all possible tr...