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Lagrange and serendipity elements compared

Short answer

Lagrange elements have interior nodes and use tensor-product shape functions; serendipity elements have nodes only on boundary. Linear: both are the 4‑node bilinear. Quadratic: 9‑node Lagrange (terms 1,ξ,η,ξ²,ξη,η²,ξ²η,ξη²,ξ²η²) and 8‑node serendipity (same but omits ξ²η²).

Differentiate between Lagrange and serendipity families of two-dimensional elements. Name the elements of each family up to second order and list the polynomial terms of the 8-node and 9-node elements.

Both are higher-order rectangular (or quadrilateral) elements built on a ξ\xi-η\eta parent square (−1≤ξ,η≤1-1 \le \xi, \eta \le 1).

Comparison

PointLagrange familySerendipity family
ConstructionProduct of 1D Lagrange polynomials in ξ\xi and η\etaNodes only on the boundary; functions built by inspection/combination
Interior nodesPresent for order 2 and aboveNone
Linear element4-node bilinear4-node bilinear (same)
Quadratic element9-node (centre node)8-node (4 corners + 4 mid-sides)
Cubic element16-node (4 internal nodes)12-node
Polynomial termsContains all terms of the tensor productComplete up to its order, but misses the highest tensor-product terms
Number of DOFMore, so more costlyFewer, so cheaper
AccuracySlightly better, and less sensitive to element distortionNearly as good with fewer nodes; no internal node to condense
 9-node Lagrange        8-node serendipity
 4--7--3                4--7--3
 |     |                |     |
 8  9  6                8     6
 |     |                |     |
 1--5--2                1--5--2

Polynomial terms (Pascal's triangle)

  • 9-node Lagrange: 1, ξ, η, ξ2, ξη, η2, ξ2η, ξη2, ξ2η21,\ \xi,\ \eta,\ \xi^2,\ \xi\eta,\ \eta^2,\ \xi^2\eta,\ \xi\eta^2,\ \xi^2\eta^2.
  • 8-node serendipity: the same list without ξ2η2\xi^2\eta^2.

The 9-node element is a complete biquadratic. The 8-node element is a complete quadratic with two additional cubic terms, ξ2η\xi^2\eta and ξη2\xi\eta^2, which keep the polynomial symmetric.

The serendipity element is preferred in most practice because the interior node adds degrees of freedom but little accuracy.

✓ Answer checked by Claude Opus 5.5 (high effort)

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