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Mastering Determinants for AQA A-Level Further Maths | AQA A-Level 进阶数学行列式精讲

2026-08-21 20:29 · 本文部分内容由AI辅助创作

📚 Mastering Determinants for AQA A-Level Further Maths | AQA A-Level 进阶数学行列式精讲

ion guide covers 2×2 and 3×3 determinants, their properties, and common exam applications.

行列式是 AQA 进阶数学的核心内容。它帮助你判断矩阵是否可逆、求逆矩阵、解线性方程组,并理解线性变换如何缩放面积与体积。本复习指南涵盖 2×2 与 3×3 行列式、其性质以及常见考试应用。

1. What is a determinant? | 什么是行列式

A determinant is a scalar value calculated from a square matrix. It is written as det(A) or |A|. The determinant gives a single number that captures important algebraic and geometric information about the matrix.

行列式是由方阵计算得到的一个标量,记作 det(A) 或 |A|。行列式给出一个单一数值,概括了矩阵的重要代数与几何信息。

ants for 2×2 and 3×3 matrices by hand, and you may use a calculator to check your answers.

只有方阵才有行列式。在 AQA 进阶数学中,你需要能够手算 2×2 和 3×3 矩阵的行列式,并可以使用计算器检查答案。

det(A) = |A|

行列式记作 det(A) 或 |A|


2. Determinant of a 2×2 matrix | 2×2 矩阵的行列式

minant is the product of the main diagonal entries minus the product of the off-diagonal entries.

对于 2×2 矩阵 A = [a b; c d],行列式等于主对角线元素乘积减去副对角线元素乘积。

det(A) = ad − bc

2×2 行列式公式:ad − bc

ick to apply. For example, if A = [3 2; 1 4], then det(A) = (3)(4) − (2)(1) = 12 − 2 = 10.

这个公式应用起来很快。例如,若 A = [3 2; 1 4],则 det(A) = (3)(4) − (2)(1) = 12 − 2 = 10。


3. Determinant of a 3×3 matrix | 3×3 矩阵的行列式

of the 2×2 matrix obtained by deleting its row and column, remembering the signs +, −, +.

对于 3×3 矩阵 A = [a b c; d e f; g h i],可以沿第一行展开。将第一行每个元素乘以删去其所在行和列后得到的 2×2 子矩阵的行列式,并记住符号 +、−、+。

det(A) = a(ei − fh) − b(di − fg) + c(dh − eg)

三阶行列式按第一行展开公式

This method is called expansion by minors or cofactor expansion. You may also see the Sarrus rule, but the first-row expansion is more reliable and easier to check.

这种方法称为余子式展开或代数余子式展开。你可能也会见到萨吕法则,但第一行展开更可靠、更易检查。


4. Properties of determinants | 行列式的基本性质

These properties are often tested in AQA questions. They help you avoid full calculations when a matrix has a special structure.

这些性质经常出现在 AQA 考题中。它们帮助你在矩阵具有特殊结构时避免完整计算。


5. Singular and non-singular matrices | 奇异矩阵与非奇异矩阵

e. Geometrically, it collapses space to a lower dimension, so area or volume becomes zero.

若 det(A) = 0,则方阵是奇异矩阵。奇异矩阵没有逆矩阵。从几何上看,它把空间压缩到更低维度,因此面积或体积变为零。

A matrix is non-singular if det(A) ≠ 0. Only non-singular matrices are invertible. Checking the determinant is usually the first step before finding an inverse.

若 det(A) ≠ 0,则矩阵是非奇异矩阵。只有非奇异矩阵才可逆。计算行列式通常是求逆矩阵前的第一步。

det(A) = 0 ⇒ singular and non-invertible

det(A) = 0 意味着奇异且不可逆


6. Inverse of a matrix using determinants | 用行列式求逆矩阵

) ≠ 0, the inverse is given by a simple formula. Swap the main diagonal entries, change the signs of the other two entries, and divide by the determinant.

对于 2×2 矩阵 A = [a b; c d] 且 det(A) ≠ 0,逆矩阵由一个简单公式给出:交换主对角线元素,改变另外两个元素的符号,再除以行列式。

A⁻¹ = (1 / det(A)) × [d −b; −c a]

2×2 逆矩阵公式

culator for 3×3 inverses, but you must know that division by the determinant is essential.

对于 3×3 矩阵,逆矩阵等于伴随矩阵除以 det(A)。在 AQA 考试中,你可能需要使用计算器求 3×3 逆矩阵,但你必须理解除以行列式是核心步骤。


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7. Solving simultaneous equations with inverse matrices | 用逆矩阵解方程组

of unknowns, and b is the constant vector. If det(A) ≠ 0, the unique solution is x = A⁻¹b.

线性方程组可以写成 Ax = b,其中 A 是系数矩阵,x 是未知数列向量,b 是常数向量。若 det(A) ≠ 0,则唯一解为 x = A⁻¹b。

lution or infinitely many solutions. The determinant therefore tells you whether a unique solution exists before you solve.

若 det(A) = 0,方程组可能无解或有无穷多解。因此,行列式在求解前就能告诉你是否存在唯一解。

Ax = b ⇒ x = A⁻¹b when det(A) ≠ 0

当 det(A) ≠ 0 时,Ax = b 的解为 x = A⁻¹b


8. Geometrical interpretation: area and volume | 几何解释:面积与体积

For a 2×2 transformation matrix A, the absolute value |det(A)| is the area scale factor. A shape transformed by A has its area multiplied by |det(A)|.

对于 2×2 变换矩阵 A,|det(A)| 是面积缩放因子。经 A 变换后,图形的面积乘以 |det(A)|。

For a 3×3 transformation matrix, |det(A)| zero, the transformation squashes 3D space into a plane or line, reducing volume to zero.

对于 3×3 变换矩阵,|det(A)| 是体积缩放因子。若行列式为零,变换将三维空间压扁到平面或直线,体积变为零。

This geometric meaning explains why singular matrices cannot be inverted: information is lost when space collapses to a lower dimension.

这一几何意义解释了为什么奇异矩阵不可逆:当空间塌陷到更低维度时,信息会丢失。


9. Orientation and sign of the determinant | 行列式的方向与符号

The sign of the determinant indicates orientation. In 2D, a positive determinant means the transformation preserves orientation; a negative determinant means it reverses orientation, like a reflection.

行列式的符号表示方向。在二维中,正行列式意味着变换保持方向;负行列式意味着变换反转方向,例如反射。

In 3D, a negative determinant indicates a change in handedness. This is important when transformations combine reflections and rotations.

在三维中,负行列式表示手性改变。当变换组合了反射和旋转时,这一点尤为重要。

det(A) < 0 ⇒ orientation is reversed

det(A) < 0 意味着方向被反转


10. Worked example: 3×3 determinant | 例题:三阶行列式计算

xpand along the first row using the formula det(A) = a(ei − fh) − b(di − fg) + c(dh − eg).

计算 A = [2 1 3; 0 −1 2; 4 1 1] 的行列式。沿第一行展开,使用公式 det(A) = a(ei − fh) − b(di − fg) + c(dh − eg)。

det(A) = 2[(−1)(1) − (2)(1)] − 1[(0)(1) − (2)(4)] + 3[(0)(1) − (−1)(4)]

代入公式展开

det(A) = 2(−1 − 2) − 1(0 − 8) + 3(0 + 4) = −6 + 8 + 12 = 14

计算结果为 14

on-singular and invertible. The volume scale factor of the corresponding transformation is |14| = 14.

因为 det(A) = 14 ≠ 0,该矩阵是非奇异且可逆的。对应变换的体积缩放因子为 |14| = 14。


11. Common mistakes to avoid | 常见错误与规避

ly for 2×2 matrices, not for 3×3 matrices unless you use the full Sarrus method correctly.

一个常见错误是对 3×3 矩阵错误地使用对角线法则。简单对角线乘法规则只适用于 2×2 矩阵,对 3×3 矩阵除非正确使用完整萨吕法则,否则不适用。

Another mistake is forgetting the sign pattern +, −, + in the first-row expansion. Missing a minus sign changes the final answer completely.

另一个错误是忘记第一行展开中的符号规律 +、−、+。漏掉一个负号会完全改变最终答案。

ⁿ det(A) with k det(A). Always remember the power n matches the size of the square matrix.

最后,学生有时会混淆 det(kA) = kⁿ det(A) 与 k det(A)。务必记住指数 n 对应方阵的阶数。


12. Exam tips for AQA papers | AQA 考试技巧

Always show your expansion steps clearly. AQA examiners award method marks for correct substitution even if the final arithmetic has a small slip.

始终清晰地展示展开步骤。即使最终计算有小失误,AQA 阅卷老师也会给正确的代入过程方法分。

Use your calculator to check determinant values, but write down the manual method first. This helps you catch sign errors and shows the examiner your understanding.

使用计算器检查行列式值,但先写下手算过程。这能帮助你发现符号错误,并向阅卷老师展示你的理解。

When a question asks about area or volume scale factors, remember to state the absolute value |det(A)|. If it asks about orientation, state whether det(A) is positive or negative.

当题目问面积或体积缩放因子时,记住写出绝对值 |det(A)|。如果题目问方向,要说明 det(A) 是正还是负。


Published by TutorHao | Further Mathematics Revision Series | aleveler.com

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