Function notation and inner product

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SUMMARY

The discussion focuses on demonstrating that the function d: R^n x R^n -> R, defined as d(x,y) = x^T A y, qualifies as a vector dot product when A is expressed as A = B^T B, where B is a nonsingular n x n matrix. Participants clarify that the expression x^T A y can be interpreted as a dot product by recognizing that it results in a scalar value. The key takeaway is that understanding the definition of an inner product and matrix algebra is essential for solving this problem effectively.

PREREQUISITES
  • Understanding of inner product definitions in linear algebra
  • Familiarity with matrix multiplication and properties
  • Knowledge of nonsingular matrices and their implications
  • Proficiency in interpreting function notation in mathematical contexts
NEXT STEPS
  • Study the properties of inner products in vector spaces
  • Learn about matrix factorizations, specifically Cholesky decomposition
  • Explore the implications of nonsingular matrices in linear transformations
  • Review the derivation and applications of the dot product in R^n
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Students and educators in linear algebra, mathematicians exploring inner product spaces, and anyone seeking to deepen their understanding of matrix algebra and function notation.

JerryG
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Homework Statement


I have this problem, but I'm not familiar with the function notation that the professor is using. Can anyone tell me what is actually being asked? I understand everything up to the part that is in bold, but after that, I am lost.

Let A be a nxn matrix of real numbers, such that A can be written as a product of
another matrix B and its transpose (e.g. A=BT*B). Assuming that B is
nonsingular, show that the function d:RnxRn->R, d(x,y)=xTAy is a vector dot
product.

Some of the formating was lost so Rn is shown as R^n and xT is x transpose.
 
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x and y are in Rn, so they are n by 1 matrices so xTAy is (1 by n)(n by n)(n by 1) = 1 by 1 or scalar. If you put in A = BTB I think you will see that it is a dot product of two vectors if you look at it right.
 
I would interpret the problem as "Show that d satisfies the definition of an inner product". This is really easy if you know the definition and you're comfortable with matrix algebra (stuff like [itex](XY)^T=Y^T X^T[/itex]).

If you're only supposed to show that [itex]x^TAy[/itex] is a dot product of two vectors, the complete solution would be [itex]x^TAy=x^T(Ay)[/itex], because Ay is a column vector. (You know that the definition of matrix multiplication implies that [itex]u^Tv=u_1v_1+\dots+u_nv_n[/itex] when u and v are column matrices, right?)
 
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