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commit e6985e7bdd31911169ed36a4d86eacaef44f1e8d
parent e40014669d3f08c49c3b3dc60a9de707fe14a817
Author: Andrew <andrewlaack1@gmail.com>
Date:   Thu,  1 Aug 2024 20:22:12 -0500

did stuff

Diffstat:
AIteratedExpectations.md | 8++++++++
MLinearAlgebra.md | 1+
MLinearTransformation.md | 4+++-
AMatrixMultiplication.md | 18++++++++++++++++++
MStatisticsAndProbability.md | 2++
5 files changed, 32 insertions(+), 1 deletion(-)

diff --git a/IteratedExpectations.md b/IteratedExpectations.md @@ -0,0 +1,8 @@ +:prob: +# Iterated Expectations + +L12 + +## Notes + +**Definition:** The law of iterated expectations states the expected value of a conditional expectation is the unconditional expectation. diff --git a/LinearAlgebra.md b/LinearAlgebra.md @@ -54,3 +54,4 @@ Khan Unit 2: - [[StandardMatrix.md]] - [[UnitVector.md]] - [[Projection.md]] + - [[MatrixMultiplication.md]] diff --git a/LinearTransformation.md b/LinearTransformation.md @@ -60,6 +60,8 @@ T(x) = Ax S(x) = Bx Then: -T(S(x)) = A(Bx) +T(S(x)) = A(Bx) = ABx + +Compositions of matricies are associative, but not commutative. With this definition it is intuitive that the standard matrix of the composition is A times B where A and B are the standard matricies of the L.T.s T and S. diff --git a/MatrixMultiplication.md b/MatrixMultiplication.md @@ -0,0 +1,18 @@ +:lin-alg: +# Matrix Multiplication + +Khan U2 + +## Notes + +**Definition:** The product of A and B is defined as AB where each column of AB is Axb_n where n is the number of the column. + +Idea: + +AB = [Ab_1 Ab_2 ... Ab_n] + +Note: To multiply two matricies the number of columns in the first matrix must be equal to the number of rows in the second matrix. + +AB is not equal to BA (in pretty much all cases). Often this is not even defined. + +See [[VectorMatrixMultipication.md]] for information about vector and matrix products. diff --git a/StatisticsAndProbability.md b/StatisticsAndProbability.md @@ -85,3 +85,5 @@ L10: L11: - [[Covariance.md]] - [[CorrelationCoefficient.md]] +L12: + - [[IteratedExpectations.md]]