Add vector distance, array math, and array aggregate functions

[crm26]

Summary

This issue tracks adding vector math and array aggregate scalar functions to DataFusion. These close gaps versus DuckDB and LanceDB for vector search and array analytics workloads.

Replaces #21371 and #21376, which were requested to be split into function-per-PR submissions (per @alamb's review).

Functions

Vector math (with shared vector_math.rs primitives)

Function	Signature	Reference
cosine_distance	(array, array) → float64	DuckDB array_cosine_similarity
inner_product	(array, array) → float64	DuckDB array_inner_product
array_normalize	(array) → array	NumPy / scipy convention

Array element-wise math

Function	Signature	Reference
array_add	(array, array) → array	Element-wise addition
array_subtract	(array, array) → array	Element-wise subtraction
array_scale	(array, scalar) → array	Scalar multiply

Array aggregate scalars

Function	Signature	Reference
array_sum / list_sum	(array) → numeric	DuckDB list_sum
array_product / list_product	(array) → numeric	DuckDB list_product
array_avg / list_avg	(array) → float64	DuckDB list_avg

Alias fix

Fix	Description
list_min	Missing alias on ArrayMin (parity with existing list_max on ArrayMax)

Submission plan

One PR per function, submitted serially. Each PR will reference this issue.

References

• DuckDB list functions
• DuckDB array functions
• LanceDB distance metrics
• Trino array functions