algebra calculus intuition
intuition
functions here only refer to those that are continuous on the real line
functions are vectors of infinite components
→ dot product are integral f ⋅ g = ∫ f ( t ) g ( t ) d t
in fact, the definition of a vector space is what
a set whose elements made of a field equipped with additive and scalar multiplicative operations satisfying some axioms related to linearity (or vector space axioms)
Link to original
for Fourier Transform :
the s in and cos functions are basis functions, each frequency is a basis
each s in function is like a [ 1 , 0 , 1 , 0 , 1 , ... ] vector, different frequencies means different gap size between 0 and 1
likewise, each cos function is like a [ 0 , 1 , 0 , 1 , 0 , ... ]
we can use Euler’s identity formula to combine them to span the whole function space
any function f is a linear combination of them, just like any vector is a linear combination of the basis vectors
to know how much a basis vector contribute to a vector v , we project v to the basis vector
→ thus to know how much a basis function (frequency) contribute to f , we project f to the basis function
references