A Turing pattern is a spatially structured state produced by interactions between local reactions and diffusion. A Turing instability explains linear pattern onset when a homogeneous equilibrium is stable without diffusion but unstable to a nonzero spatial mode.
A Turing, or diffusion-driven, instability occurs when a spatially homogeneous equilibrium is stable to homogeneous perturbations but unstable to a nonzero spatial Fourier mode after unequal diffusion is introduced.
For and , a Fourier mode perturbation about zero has and growth rate . If , its maximum is at ; if , its maximum is at zero. Replacing by gives the corresponding criterion at the other homogeneous equilibrium.
Let a stable two-species reaction equilibrium have Jacobian
and diffusion matrix . A mode with has determinant
Since its trace decreases with , diffusion-driven instability occurs exactly when
When , every spatial Fourier mode replaces the reaction Jacobian by . Each eigenvalue is shifted left by , so diffusion cannot destabilize a stable homogeneous equilibrium.
For reaction Jacobian
the critical diffusivity ratio is
It approaches one as the stable reaction system approaches marginality.

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A Turing pattern refers to a mathematical model that describes how complex patterns can emerge in biological systems through the interaction of two or more substances that diffuse and react with each other. This concept was introduced by the British mathematician and logician Alan Turing in his 1952 paper titled "The Chemical Basis of Morphogenesis.