Matrices - ACT Math
- Identify the order of a matrix.
- 3 rows and 2 columns. The first number is rows, second is columns.
- What is an invertible matrix?
- A square matrix with a non-zero determinant. Non-zero determinant means the matrix has an inverse.
- Define a zero matrix.
- A matrix where all elements are zero. Acts as the additive identity in matrix operations.
- Find the transpose of .
- . Each row becomes a column in the transposed matrix.
- What is matrix addition?
- Adding corresponding elements of two matrices of the same order. Both matrices must have identical dimensions.
- What does it mean if two matrices are equal?
- They have the same dimensions and corresponding elements are equal. Same size and all corresponding entries match exactly.
- What is an orthogonal matrix?
- A square matrix whose transpose is also its inverse. Special property where .
- Find the trace of .
- 10. Sum the diagonal elements: .
- What is the order of a matrix?
- The dimensions of a matrix, given as rows columns. Specifies the size and shape of the matrix.
- Define the inverse of a matrix.
- A matrix that, when multiplied with the original, results in the identity matrix. Denoted as where .
- What is a diagonal matrix?
- A square matrix where all off-diagonal elements are zero. Non-zero elements only appear along the main diagonal.
- What is matrix subtraction?
- Subtracting corresponding elements of two matrices of the same order. Subtract element-wise from corresponding positions.
- Calculate .
- . Each element multiplied by : .
- How do you denote a matrix?
- Typically with uppercase letters, e.g., , , . Standard mathematical convention for matrix notation.
- What is the condition for matrix multiplication to be defined?
- Number of columns in the first matrix must equal the number of rows in the second. Inner dimensions must match for multiplication to work.
- What is the determinant of ?
- . Formula for matrix determinant calculation.
- Calculate the sum of and .
- . Add element-wise: .
- Is symmetric?
- No. Not symmetric because (2 ≠ 3).
- What is an identity matrix?
- A square matrix with 1s on the diagonal and 0s elsewhere. Acts as the multiplicative identity in matrix operations.
- What does the identity matrix do in multiplication?
- Leaves any matrix unchanged when multiplied. Multiplicative identity property: .
- Find the transpose of
- . Each row becomes a column in the transposed matrix.
- What is a singular matrix?
- A square matrix with a determinant of zero. Cannot be inverted due to zero determinant.
- What is the trace of a matrix?
- The sum of the diagonal elements of a square matrix. Add all diagonal elements from top-left to bottom-right.
- What is a symmetric matrix?
- A matrix that is equal to its transpose. Mirror symmetry across the main diagonal.
- Calculate the sum of and .
- . Add element-wise: .
- What is a matrix?
- A rectangular array of numbers arranged in rows and columns. Numbers organized in a grid format for mathematical operations.
- Which matrix operation is not commutative?
- Matrix multiplication. Order matters in matrix multiplication: .
- What is a square matrix?
- A matrix with the same number of rows and columns. Equal dimensions create a special matrix type.
- Calculate
- . Each element multiplied by :
- What is the determinant of ?
- . Formula for matrix determinant calculation.
- What is a column matrix?
- A matrix with a single column. Also called a column vector in linear algebra.
- What is a row matrix?
- A matrix with a single row. Also called a row vector in linear algebra.
- What is a transpose of a matrix?
- Switching the rows and columns of a matrix. Rows become columns and columns become rows.
- What is matrix multiplication?
- Dot product of rows and columns from two matrices. Row elements multiplied by column elements, then summed.
- What is a determinant?
- A scalar value that is a function of a square matrix. Measures certain properties of square matrices.
- Find the trace of .
- 10. Sum the diagonal elements: .
- What is scalar multiplication in matrices?
- Multiplying each element of a matrix by a scalar. Multiply every element by the same scalar value.