What is the difference between bias and variance mathematically?

Bias measures error from wrong assumptions; variance measures sensitivity to data changes.

Expected prediction error decomposes into bias² + variance + irreducible error. Linear regression typically has low bias but can exhibit high variance with many correlated features.