What is the difference between kernel trick and explicit feature mapping?

Kernel trick computes inner products in transformed space without explicitly mapping features.

Explicit mapping transforms input into higher-dimensional space, which is computationally expensive. Kernel trick computes dot products in that space implicitly, enabling efficient nonlinear classification.