Matrix Operations
Matrices are powerful tools for representing and solving mathematical problems. Before jumping into linear systems, like Ax=b, it's essential to understand how matrices behave and what operations we can perform on them.
Matrix Addition
You can add two matrices only if they have the same shape (same number of rows and columns).
Let:
A=[a11a21a12a22],B=[b11b21b12b22]Then:
A+B=[a11+b11a21+b21a12+b12a22+b22]Scalar Multiplication
You can also multiply a matrix by a scalar (single number):
k⋅A=[ka11ka21ka12ka22]Matrix Multiplication and Size Compatibility
Matrix multiplication is a row-by-column operation, not element-wise.
Rule: if matrix A is of shape (m×n) and matrix B is of shape (n×p), then:
- The multiplication AB is valid;
- The result will be a matrix of shape (m×p).
Example:
Let:
A=[1324], B=[56]A is (2×2) and B is (2×1), then AB is valid and results in a (2×1) matrix:
A⋅B=[1⋅5+2⋅63⋅5+4⋅6]=[1739]Transpose of a Matrix
The transpose of a matrix flips rows and columns. It is denoted as AT.
Let:
A=[1324]Then:
AT=[1234]Properties:
- (AT)T=A;
- (A+B)T=AT+BT;
- (AB)T=BTAT.
Determinant of a Matrix
2×2 Matrix
For:
A=[acbd]The determinant is:
det(A)=ad−bc3×3 Matrix
For:
A=adgbehcfiThe determinant is:
det(A)=a(ei−fh)−b(di−fg)+c(dh−eg)This method is called cofactor expansion.
- Larger matrices (4×4 and up) can be expanded recursively.
- The determinant is useful because it indicates whether a matrix has an inverse (non-zero determinant).
Inverse of a Matrix
The inverse of a square matrix A is denoted as A−1. It satisfies A⋅A−1=I, where I is the identity matrix.
Only square matrices with non-zero determinant have an inverse.
Example:
If matrix A is:
A=[acbd]Then its inverse matrix A−1 is:
A−1=det(A)1[d−c−ba]Where det(A)=0.
1. What is the shape of the product of a (2×3) matrix and a (3×4) matrix?
2. What condition must be met for AB to be valid?
3. What is the transpose of [1324] matrix?
4. If A is a (3×3) matrix and B is (3×2), what is the shape of AB?
5. Only square matrices can be multiplied.
6. The transpose of a (2×3) matrix is (3×2).
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Matrix Operations
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Matrices are powerful tools for representing and solving mathematical problems. Before jumping into linear systems, like Ax=b, it's essential to understand how matrices behave and what operations we can perform on them.
Matrix Addition
You can add two matrices only if they have the same shape (same number of rows and columns).
Let:
A=[a11a21a12a22],B=[b11b21b12b22]Then:
A+B=[a11+b11a21+b21a12+b12a22+b22]Scalar Multiplication
You can also multiply a matrix by a scalar (single number):
k⋅A=[ka11ka21ka12ka22]Matrix Multiplication and Size Compatibility
Matrix multiplication is a row-by-column operation, not element-wise.
Rule: if matrix A is of shape (m×n) and matrix B is of shape (n×p), then:
- The multiplication AB is valid;
- The result will be a matrix of shape (m×p).
Example:
Let:
A=[1324], B=[56]A is (2×2) and B is (2×1), then AB is valid and results in a (2×1) matrix:
A⋅B=[1⋅5+2⋅63⋅5+4⋅6]=[1739]Transpose of a Matrix
The transpose of a matrix flips rows and columns. It is denoted as AT.
Let:
A=[1324]Then:
AT=[1234]Properties:
- (AT)T=A;
- (A+B)T=AT+BT;
- (AB)T=BTAT.
Determinant of a Matrix
2×2 Matrix
For:
A=[acbd]The determinant is:
det(A)=ad−bc3×3 Matrix
For:
A=adgbehcfiThe determinant is:
det(A)=a(ei−fh)−b(di−fg)+c(dh−eg)This method is called cofactor expansion.
- Larger matrices (4×4 and up) can be expanded recursively.
- The determinant is useful because it indicates whether a matrix has an inverse (non-zero determinant).
Inverse of a Matrix
The inverse of a square matrix A is denoted as A−1. It satisfies A⋅A−1=I, where I is the identity matrix.
Only square matrices with non-zero determinant have an inverse.
Example:
If matrix A is:
A=[acbd]Then its inverse matrix A−1 is:
A−1=det(A)1[d−c−ba]Where det(A)=0.
1. What is the shape of the product of a (2×3) matrix and a (3×4) matrix?
2. What condition must be met for AB to be valid?
3. What is the transpose of [1324] matrix?
4. If A is a (3×3) matrix and B is (3×2), what is the shape of AB?
5. Only square matrices can be multiplied.
6. The transpose of a (2×3) matrix is (3×2).
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