RoPE rotates query/key coordinate pairs at several frequencies. For these fixed content vectors, the dot product depends on the relative offset m−n, so shifting both positions equally preserves it. In a trained model the content vectors also depend on context; this identity alone does not guarantee whole-model shift invariance or long-context quality.