- #1
bernoli123
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[-1]int[1]P(x)Q(x)dx P,Q[tex]\in[/tex]S
verify that this is an inner product.
verify that this is an inner product.
HallsofIvy said:If you really don't know what an inner product is, why are you asking this question?
An inner product, defined on a vector space, V, is a function that associates every pair of vectors, (u, v), a real number <u, v> satisfying
1) Linearity: <au+ bv, w>= a<u, w>+ b<v, w>
(If the vector space is over the complex numbers, a and b on the right should be their complex conjugates.)
2) <u, u>= 0 if and only if u= 0.
3) <u, u> is greater than 0 if u is not 0.
Here, you are defining <P, Q> to be int, from -1 to 1, P(x)Q(x)dx where P and Q are polynomials.
If int from -1 to 1 of P(x)^2 dx= 0, what can you say about P? What if P(x)= x^3?
The inner product of polynomials is a mathematical operation that takes two polynomials as inputs and produces a scalar value as output. It is used to measure the similarity or difference between two polynomials.
The inner product of polynomials is calculated by multiplying the coefficients of the polynomials and adding the resulting terms. This can also be represented as the dot product of the vectors formed by the coefficients of the polynomials.
The inner product of polynomials shares many properties with the traditional inner product in linear algebra. These include linearity, commutativity, and positive definiteness. It also satisfies the Cauchy-Schwarz inequality.
The inner product of polynomials has many applications in fields such as signal processing, data compression, and numerical analysis. It allows for the comparison and analysis of polynomial functions, which are commonly used to model various phenomena in science and engineering.
One limitation of the inner product of polynomials is that it does not take into account the shape or form of the polynomials. It only considers the coefficients and their magnitudes, which may not fully capture the complexity of the functions. Additionally, the inner product may not be well-defined for certain types of polynomials, such as those with infinitely many terms.